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Review

Frontiers in Sustainable Energy Policy ·

Volume 5 - 2026 | https://doi.org/10.3389/fsuep.2026.1598381

Renewable energy deployment: assessing benefits and challenges for ecosystem services

  • Lacour M. Ayompe1*corresponding author
  • Benis N. Egoh1,2
  1. 1Department of Earth System Science, University of California, Irvine, Irvine, CA, United States
  2. 2Department of Population Health and Disease Prevention, University of California, Irvine, Irvine, CA, United States
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Abstract

Renewable energy systems (RES) are essential for combating climate change and achieving sustainable development. However, their deployment presents both ecological and socio-economic challenges. This review examines the impacts of renewable energy technologies on ecosystem services, focusing on the environmental footprints of solar PV, concentrating solar power, wind, hydropower, and biomass systems. It explores the socio-economic benefits, such as job creation and improved public health, and emphasizes the importance of effective policy frameworks in facilitating renewable energy adoption. Additionally, the need for integrating ecological considerations into energy planning to mitigate negative impacts is highlighted. Despite the clear benefits, research gaps persist, particularly in understanding the interactions between RES and ecosystem services. Future studies should prioritize comprehensive data collection, long-term monitoring, and adaptive management strategies. Addressing these critical knowledge voids is pivotal for optimizing the trade-offs between energy security and ecological integrity, offering a foundation for evidence-based policy formulation. By addressing these gaps, stakeholders can develop more sustainable energy practices that balance ecological integrity and community wellbeing, contributing to a sustainable and equitable energy future.

Keywords

Highlights

  • Renewable energy systems reduce greenhouse gas emissions and combat climate change.
  • Effective policies drive renewable energy adoption.
  • Socio-economic benefits include job creation and improved public health.
  • Ecological planning minimizes negative environmental impacts.
  • Future research should focus on data collection and adaptive management.

1 Introduction

The urgency of addressing climate change has accelerated global adoption of renewable energy systems (RES) to reduce greenhouse gas emissions and support sustainable development. Solar, wind, hydro, and biomass energies reduce dependence on fossil fuels, the dominant source of carbon emissions (Pangestu, 2023) while improving energy security and economic resilience (Eitan, 2021). International agreements such as the Paris Agreement emphasize renewable energy's role in meeting carbon reduction targets (Guðmundsdóttir et al., 2018), and renewable technologies contribute to decarbonization, job creation, and innovation (Sarmiento et al., 2019). This transition is also intrinsically linked to the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action), while impacting SDG 15 (Life on Land) through the land-use requirements of energy infrastructure. Renewable energy is projected to supply roughly 85% of global electricity by 2050 (de Assis Espécie et al., 2019; IRENA, 2019).

Public support for renewable energy reflects its perceived importance in climate mitigation and energy access. Growing public awareness influences policy priorities and investment decisions (Hamilton et al., 2018). However, deployment faces challenges including technological advancement, infrastructure needs, land availability, and public acceptance (Copping et al., 2020). Although renewable energy reduces emissions, its implementation can alter land use, fragment habitats, and affect biodiversity and ecosystem services depending on siting (Tallis et al., 2015; Gkalonaki and Karatzas, 2022). Careful planning is therefore required to balance climate benefits with ecological impacts.

Ecosystem services encompass provisioning, regulating, supporting, and cultural benefits defined by frameworks such as the Millennium Ecosystem Assessment and IPBES (Hales et al., 2004; Dong et al., 2018). Provisioning services supply food, freshwater, timber, fiber, energy, and genetic resources (Liu et al., 2023); regulating services include climate regulation, water purification, flood control, disease regulation, and carbon sequestration (Khan et al., 2013); supporting services sustain soil formation, nutrient cycling, primary production, and habitat provisioning (Kyere-boateng et al., 2022); and cultural services provide recreational, aesthetic, spiritual, and heritage values (McPhearson et al., 2014). These categories highlight how renewable energy deployment and land-use change can both support and challenge ecosystem functioning.

Balancing trade-offs and synergies among ecosystem services is essential during renewable energy transitions. Solar and wind installations enhance regulating services by reducing emissions and improving air quality (Li et al., 2016; Brauman et al., 2007) but may fragment habitats and alter cultural landscapes (Rodriguez et al., 2006; Dennedy-Frank et al., 2016). Frameworks such as the Millennium Ecosystem Assessment and IPBES help align agricultural, industrial, and conservation objectives (Brauman et al., 2007; Carpenter et al., 2009). Integrating spatial data with multi-criteria decision analysis supports evaluation of land-use impacts, while community engagement and traditional ecological knowledge promote equitable, biodiversity-focused planning (Jacobo and Rodríguez, 2024; Teague and Kreuter, 2020).

Healthy ecosystems provide essential services such as carbon sequestration by forests (Wang et al., 2018) and flood control and water purification by wetlands (Zhao et al., 2022). Conversely, degradation from agriculture, bioenergy expansion, and urbanization reduces service provision (Huang et al., 2014). Policymakers can strengthen ecosystem resilience by prioritizing conservation and sustainable management (Schmutz and Sendzimir, 2018). Integrating green infrastructure such as pairing solar PV with wetland restoration can enhance carbon sequestration and biodiversity (Semeraro et al., 2020).

Recent literature underscores the importance of incorporating ecosystem services into renewable energy planning. Geoscientific research supports ecological balancing and impact mitigation (Oguanobi and Joel, 2024); landscape preferences and ecosystem services improve siting decisions (Šalak et al., 2024); and evaluating trade-offs among technologies enhances ecological outcomes (Picchi et al., 2020). Together, these studies highlight the need for ecosystem-informed renewable energy development.

Examining case studies helps identify best practices for minimizing impacts and maximizing ecological benefits (Casalegno et al., 2014). Understanding ecological ramifications is essential to ensuring renewable technologies contribute positively to sustainability and ecosystem health (Shi et al., 2015). This review synthesizes current knowledge to support researchers, policymakers, and practitioners navigating renewable energy development in the context of ecosystem service management (Picchi et al., 2020).

This review aims to: (1) examine ecosystem services affected by RES; (2) evaluate positive and negative impacts of major renewable technologies; (3) identify strategies to mitigate adverse effects and enhance benefits; and (4) recommend ways to integrate ecosystem-services considerations into renewable energy planning and policy.

2 Types of renewable energy systems

The quest for sustainable and renewable energy sources has intensified as countries work to reduce emissions and strengthen energy security. This section provides an overview of Solar Photovoltaic (PV), Concentrating Solar Power (CSP), Wind Energy, Hydropower, and Biomass and Bioenergy. Each technology presents distinct benefits, environmental footprints, and mitigation needs. By examining their characteristics and impacts, we can better understand how to harness their potential while minimizing ecological effects. Figure 1 summarizes environmental footprints and mitigation strategies across technologies. Supplementary Table S1 outlines key characteristics, impacts, mitigation strategies, and references to support decision-making.

Environmental footprint and mitigation strategies for various RES.
Figure 1. Environmental footprint and mitigation strategies for various RES.

2.1 Solar energy

Solar energy is a central component of global renewable energy transitions. This section examines the two primary technologies harnessing solar power: PV and CSP.

2.1.1 Solar photovoltaic (PV)

While PV deployment is fundamental to global decarbonization strategies, its land-use requirements and life cycle emissions necessitate rigorous environmental scrutiny. Life cycle assessment (LCA) shows impacts across production, operation, and disposal. Manufacturing crystalline silicon PV cells has a notable carbon footprint, though technological advances are reducing these impacts (Carvalho et al., 2019). High-concentration PV systems also exhibit lower life cycle emissions than flat-plate systems (Fthenakis and Kim, 2012).

Large-scale PV installations can compete with agricultural land and natural habitats, leading to biodiversity loss and habitat degradation, as observed in Vietnam (Shimada and Takeuchi, 2023). Off-grid PV systems requiring battery storage may also cause environmental degradation (Júnior and Almeida, 2023). The extensive land requirements of utility-scale PV can alter hydrological cycles and soil quality. Urban integration, such as rooftop PV, reduces land-use pressures (Arief et al., 2023). Materials used in PV systems, including silicon and rare metals, pose environmental challenges during extraction and processing (Vadiyala, 2020). Recycling and repurposing PV materials remain active research areas that could reduce end-of-life impacts (Milousi et al., 2019).

2.1.2 Concentrating solar power

CSP systems use mirrors or lenses to concentrate sunlight and generate heat. Technologies such as parabolic troughs, power towers, linear Fresnel reflectors, and Stirling dishes each offer distinct performance characteristics (Hernandez et al., 2014; Natraj et al., 2022; Reis et al., 2023). Despite their clean energy potential, CSP systems require substantial land, causing habitat loss and fragmentation, as documented in the Mojave Desert (Carlisle et al., 2015). Infrastructure such as access roads and transmission lines can further disrupt ecosystems (Cameron et al., 2012). Water use for cooling is another major concern, particularly in arid regions (Moore-O'Leary et al., 2017). Dry-cooling technologies and hybrid CSP-PV systems can reduce water demand (Jü et al., 2017). CSP installations may also influence local microclimates through large reflective surfaces (He et al., 2016). Thorough environmental impact assessments (EIAs) are essential to identify and mitigate ecological risks (Rubino et al., 2021). Continued research and improved land-use practices will be critical for maximizing CSP benefits while minimizing environmental impacts (Toub et al., 2021; Reis et al., 2023).

2.2 Wind energy

Wind energy is essential in the transition to renewable power, offering a clean alternative to fossil fuels. However, expanding wind farms raises concerns about wildlife impacts, particularly on birds and marine species. Wind turbines pose direct collision risks, causing approximately 368,000 bird fatalities annually in North America (Sheppard et al., 2015). Larger birds, including raptors and migratory species, are especially vulnerable (Thaxter et al., 2017). Collision rates depend on turbine design and siting, including height, rotor speed, and proximity to migration routes and breeding areas (McClure et al., 2021). Wind farms may also displace species by altering nesting and foraging habitats (Marques et al., 2019).

Offshore wind energy reduces land-use conflicts but introduces marine impacts. Marine birds face collision risks and habitat displacement (Adams et al., 2017), while construction and maintenance activities can disturb fish populations and other marine organisms (Shields, 2014). Comprehensive EIAs and adaptive management are essential to balance energy production with biodiversity conservation (Duerr et al., 2023). Strategic siting, technological innovations, and ongoing monitoring can reduce ecological impacts while supporting continued wind-energy expansion (Schuster et al., 2015).

2.3 Hydropower

Hydropower is a widely used renewable energy source that provides substantial electricity while reducing greenhouse gas emissions. However, constructing dams and reservoirs significantly alters riverine ecosystems by disrupting natural water flow, sediment transport, and nutrient cycling, negatively affecting aquatic biodiversity and ecosystem health (Anderson et al., 2018). Operational impacts such as water stratification and hydropeaking further stress aquatic organisms and may create low-oxygen zones (Albrecht et al., 2023). Despite economic benefits such as job creation and improved energy security, hydropower development can impose social costs. Large reservoirs may displace communities, reduce agricultural land, and create inequities when economic gains are unevenly distributed (Nhiakao et al., 2022; Fu and Li, 2019). Effective management can yield positive socio-economic outcomes by supporting regional development, providing reliable electricity, and stimulating local industries (Xia et al., 2024). Community engagement in planning and decision-making helps ensure local needs are addressed and promotes sustainable water-resource management (Schmutz et al., 2014). Recognizing hydropower's ecological and social trade-offs and implementing best practices for environmental stewardship can help maximize benefits while minimizing negative impacts (Peek et al., 2021).

2.4 Biomass and bioenergy

Biomass and bioenergy are significant renewable energy sources addressing climate and energy-security challenges. However, producing biomass for energy often entails substantial land-use change, affecting biodiversity, carbon emissions, and sustainability. The cultivation of bioenergy crops frequently converts natural habitats or agricultural land into production areas, leading to habitat loss and fragmentation. Monoculture plantations such as switchgrass or miscanthus displace native flora and fauna, reducing species richness and altering ecosystem dynamics (Winberg et al., 2023). Intensified land use increases fertilizer and pesticide application, contributing to soil degradation and water-quality decline (Lotze-Campen et al., 2013). While biomass is often considered carbon-neutral, its carbon footprint varies widely depending on land-use history; converting forests or grasslands can release substantial carbon, undermining climate benefits (Mantyka-Pringle et al., 2014). Sustainability can be improved by minimizing land-use change and prioritizing residues or waste materials from existing agricultural and forestry operations (Nunez and Alkemade, 2021). Agroforestry systems that integrate biomass production with traditional agriculture can also enhance biodiversity and provide economic benefits (Perry et al., 2016).

The socio-economic impacts of biomass and bioenergy production are complex. Bioenergy development can create jobs and stimulate rural economies (Martins and Pereira, 2017), but competition for land between food and energy crops may increase food prices and insecurity, particularly where agricultural land is limited (Marshall et al., 2020). Large-scale projects may also trigger land-tenure conflicts and displace local populations, especially in developing regions (Newbold et al., 2020). Engaging local communities in decision-making is essential to ensure rights and needs are respected (Wilting et al., 2017). By prioritizing sustainable practices and community participation, biomass can deliver benefits while minimizing ecological and social impacts (Jung et al., 2019).

2.5 Comparative assessment of environmental footprints

Understanding the environmental footprints of energy technologies requires evaluating both lifecycle greenhouse gas emissions and land requirements, expressed as power density. These metrics reveal substantial differences across energy systems and highlight the trade-offs that shape sustainable energy planning. Coal has the highest lifecycle emissions, underscoring the need for cleaner alternatives. Renewable technologies, including solar PV, CSP, wind, biomass, and hydropower exhibit far lower lifecycle emissions, though their land-use implications vary considerably (Table 1).

Table 1. Comparative environmental footprints of major energy technologies: lifecycle emissions and land requirements.

Energy sourceLifecycle emissions (gCO<sub>2</sub>eq/kWh)Power density (W/m<sup>2</sup>)Key references
Coal800–1,2000.3–1.0Barbera et al., 2022; Williams et al., 2021; Turconi et al., 2013; Nøland et al., 2022
Solar photovoltaics (PV)20–70 (broader historical range 40–120)10–200 (utility-scale 15–30)Abid et al., 2023; Bošnjaković et al., 2023; Adeh et al., 2019; Bhattacharya, 2025
Concentrated solar power (CSP)20–1405–25 (some systems 30–80)Liu et al., 2021; Luu et al., 2024; Corona et al., 2014
Onshore wind8–201.5–10 (2–5 MW/km2)Hoffacker et al., 2017; Ibrahim and Ashor, 2024; Luu et al., 2020; Nøland et al., 2022
Biomass30–2001–5 (broader range 0.1–50)Gaete-Morales et al., 2018; Kabeyi and Olanrewaju, 2023; Luo et al., 2024; McBain et al., 2018
Hydropower1–30 (can exceed 100 in large-reservoir systems)5–30Wang, 2025; Ijaz et al., 2024; Sobczuk et al., 2025; Taelman et al., 2023

Solar PV and wind energy consistently demonstrate the most favorable combination of low emissions and efficient land use, making them central to decarbonization strategies. CSP and biomass show wider variability in both emissions and power density, reflecting differences in technology design, feedstock characteristics, and land-use intensity. Hydropower offers low emissions but presents complex ecological and social trade-offs tied to reservoir creation and landscape transformation. These contrasts highlight the need to integrate lifecycle analysis, ecological assessment, and land-use planning when comparing renewable options. Table 1 summarizes lifecycle emissions, power-density values, and supporting references for major energy technologies.

2.6 Emerging technological mitigation

Recent technological innovations are critical for enhancing energy efficiency and mitigating the ecological footprints of renewable energy deployment, particularly in solar and wind generation. In solar energy, bifacial panels utilize both front and rear surfaces to capture sunlight, potentially increasing energy output by over 20% and reducing land requirements, particularly in high-albedo environments (Hasan et al., 2023; Szabó et al., 2024). Simultaneously, Floating Photovoltaic (F-PV) systems utilize water bodies to spare terrestrial ecosystems and improve panel efficiency via cooling effects, offering a vital solution for regions with strict land-use constraints (Vélez-Henao and García-Mazo, 2022; Kabir, 2024). In the wind sector, the integration of artificial intelligence, such as smart curtailment systems like IdentiFlight, leverages real-time data to predict bird movements and dynamically adjust turbine operations, thereby minimizing avian collision risks while optimizing generation (Chen et al., 2023; Ohalete et al., 2023).

Beyond generation hardware, advancements in grid management and storage are transformative for system resilience. Solid-state batteries offer higher energy densities and reduced flammability compared to traditional lithium-ion options, enabling more effective management of renewable intermittency (Behabtu et al., 2020; Lv et al., 2025). These storage solutions complement smart grid technologies, which utilize advanced metering and real-time monitoring to optimize electricity flows and empower consumer engagement through demand response systems (Srivastava, 2022; Uzondu and Lele, 2024). Furthermore, hybrid energy systems that combine solar and wind with advanced storage and machine-learning optimization ensure continuous supply despite generation fluctuations, marking a pivotal evolution toward a secure and ecologically sustainable energy future (Ohalete et al., 2023; Yan et al., 2024).

3 Environmental impacts of renewable energy systems

While RES offer numerous benefits, including lower carbon emissions and enhanced energy security, they also present various ecological and socio-economic challenges. This section examines the environmental impacts of RES, including carbon emissions reduction potential, resource consumption, waste generation, and associated ecological trade-offs. Evaluating these factors clarifies deployment complexities and supports strategies that enhance benefits while limiting environmental and social impacts.

3.1 Carbon emissions reduction

Transitioning from fossil fuel-based energy systems to renewable energy sources is essential for significantly reducing carbon emissions and mitigating climate change. Renewable technologies such as wind, solar, and biomass produce substantially lower greenhouse gas emissions than fossil fuels, the primary drivers of global warming (Arroyo and Miguel, 2020). Fossil fuel combustion accounted for approximately 80% of energy-related CO2 emissions in 2020 (Wang et al., 2023). In contrast, lifecycle emissions from solar PV systems are 20 to 50 times lower than those of coal-fired power plants (Gao et al., 2022), and wind energy systems also emit far less than natural gas (Hamilton et al., 2018). Although biomass is often considered carbon-neutral due to CO2 uptake by plants, land-use changes for biomass production can generate significant emissions when forests or grasslands are converted to energy crops (Stokes and Warshaw, 2017). Sustainably managed biomass, particularly from waste materials or residues, can nonetheless function as a low-carbon alternative (Zhang et al., 2021).

RES offer long-term benefits beyond immediate emissions reductions. They help stabilize global temperatures, mitigate climate impacts, and improve air quality by producing minimal air pollutants compared to fossil fuels. This reduction in pollution yields major public health benefits, including lower rates of respiratory and cardiovascular disease (Huang et al., 2023). Additionally, integrating renewables into the energy mix enhances energy security, reduces exposure to fossil fuel price volatility, and supports economic stability and job creation in the expanding renewable energy sector (Wei et al., 2022). As nations pursue climate targets and sustainable energy transitions, continued investment in renewable technologies remains crucial for achieving a low-carbon future (Rakowska and Ozimek, 2021).

3.2 Resource consumption and waste generation

Understanding resource consumption and waste generation is crucial for evaluating the overall sustainability of renewable energy technologies. Life cycle assessments (LCA) analyze environmental impacts from material extraction through production, use, and disposal (Pan et al., 2020). Producing solar PV panels requires substantial inputs such as silicon, metals, and glass, entailing energy-intensive extraction and processing (Raugei et al., 2012). Similarly, wind turbine manufacturing depends on rare earth metals and other materials, potentially creating notable environmental footprints if unsustainably sourced (Davis et al., 2016). While renewable technologies emit far less during operation than fossil fuels, their upstream extraction and manufacturing processes can generate significant impacts. For example, biomass production may drive land-use change, habitat loss, and elevated carbon emissions when forests are cleared for energy crops (Zhang, 2017).

The disposal of RES, particularly solar panels and wind turbine blades, poses growing waste-management challenges, as these materials are difficult to recycle and may contribute to landfill accumulation if improperly handled (Nur et al., 2023). Circular-economy strategies that promote material reuse and recycling can mitigate these impacts (Kumba et al., 2024). Waste-to-energy technologies also offer opportunities to convert waste streams into usable energy, improving resource efficiency (Islam et al., 2024). However, raw material extraction for renewable technologies often results in habitat destruction, soil erosion, and water pollution (Anonas et al., 2023). Mining for lithium, cobalt, and other critical minerals used in batteries and renewable systems can adversely affect local ecosystems and communities (Zhang et al., 2015). Rising global demand for these materials has intensified competition, increased prices, and encouraged unsustainable extraction practices (Ravi et al., 2014). Addressing these challenges is essential to ensure the clean-energy transition does not compromise environmental integrity or social equity. LCAs underscore the need for sustainable material sourcing and effective waste-management practices (Pan et al., 2020). Strengthening these approaches enables the renewable energy sector to advance sustainability while minimizing its ecological footprint.

3.3 Land-use intensity and biodiversity impacts

Solar PV systems operate at just 0.01–0.20 W/m2, with typical installations yielding 2–7 W/m2 compared to roughly 2,500 W/m2 from fossil fuel plants (Picchi et al., 2020). Utility-scale solar systems often require substantial land areas, which can compete with agriculture and threaten food production and natural habitats (Dinesh and Pearce, 2016). Similarly, wind farms have notable land requirements, particularly access roads, which account for about 80% of direct land use in China (Yang et al., 2025). Spatial analyses show that wind and solar infrastructure can reduce migratory-species connectivity by up to 18%, and higher infrastructure density increases habitat fragmentation (Šalak et al., 2024). Agrivoltaic systems offer dual-use benefits, boosting crop yields by 20%−30% per hectare while maintaining pollinator diversity comparable to adjacent farmland (Hanes et al., 2017). In contrast, dedicated energy-crop plantations can incur up to 25% greater biodiversity loss than mixed-cropping landscapes (Grilli et al., 2015; Krēslina et al., 2020). PV-dominated areas have experienced 5%−8% declines in the Biodiversity Intactness Index (Sansilvestri et al., 2021), and offshore wind farms average 3–5 bird and bat fatalities per turbine annually (Dannheim et al., 2019). Marine service mapping underscores the need to site installations away from high-value habitats (Papathanasopoulou et al., 2016).

3.4 Ecological trade-offs

Integrating RES into landscapes involves managing complex ecological trade-offs to balance energy production with ecosystem services. Renewable technologies such as wind, solar, and hydropower can significantly alter land use and ecosystem dynamics. For example, constructing wind farms can fragment habitats, affecting wildlife populations and ecosystem services (Zhao and Li, 2020). Similarly, large-scale solar installations can displace natural habitats and disrupt local ecosystems (Stosch et al., 2019). The challenge is to ensure that benefits such as reduced greenhouse gas emissions and enhanced energy security do not come at the expense of critical ecosystem services, including biodiversity, water purification, and carbon sequestration.

Several examples illustrate these trade-offs. In the Mekong River Basin, hydropower expansion has reduced fish biodiversity and altered sediment transport, both essential for healthy aquatic ecosystems (Ziv et al., 2012). In the Netherlands, solar deployment raised concerns about land-use conflicts among energy production, agriculture, and biodiversity, though agrivoltaics can enhance land productivity while minimizing ecological impacts (Picchi et al., 2020). In Northeast China, forest conservation projects increased carbon storage but reduced water availability for local communities, underscoring the need for integrated strategies that consider multiple ecosystem services simultaneously (Jia et al., 2022). These examples show that while renewable energy supports climate mitigation and energy security, it can also generate substantial ecological impacts if poorly managed. Ecosystem services frameworks and stakeholder engagement are essential for identifying and mitigating trade-offs and fostering synergies between RES and ecosystem service provision, enabling more sustainable energy transitions (Qin et al., 2015).

4 Socio-economic impacts of renewable energy systems

The transition to RES is not only critical for environmental sustainability but also has far-reaching socio-economic implications. As nations worldwide adopt renewable technologies, it is essential to understand how these systems influence economic growth, job creation, and public health. This section examines the economic, social, and public-health impacts of renewable energy, emphasizing key benefits and associated challenges.

4.1 Economic benefits

Transitioning to RES offers significant economic benefits beyond environmental sustainability, including job creation, local development, enhanced energy security, and cost reductions. The renewable energy sector provides major employment opportunities, with IRENA reporting approximately 11.5 million jobs in 2018 and continued growth projections. In developing countries, renewable technologies have substantially contributed to job creation and local economic development, particularly in Southeast Asia and Africa, diversifying local economies (Karimi and Karimi, 2024). Additionally, renewable energy projects stimulate local economies by increasing tax revenues and attracting investment, leading to infrastructure and service improvements in rural areas (Singh et al., 2019).

RES enhance energy security by diversifying energy sources and reducing dependence on imported fossil fuels, mitigating risks of supply disruptions and price volatility (Ranganathan et al., 2023). This transition strengthens energy independence, especially for nations with abundant renewable resources (Eze et al., 2023). Declining costs of solar panels and wind turbines, driven by technological advances and economies of scale, have made renewables increasingly competitive with fossil fuels (Li et al., 2023). For example, solar PV costs have fallen by over 80% since 2010, making solar one of the most affordable electricity sources (Drean, 2022). Lower operational and maintenance costs further support economic stability and affordability, benefiting consumers through reduced electricity prices (Nazarov et al., 2024). These economic benefits are essential for fostering sustainable growth, strengthening economic resilience, and improving quality of life (Malinowski, 2021).

4.2 Social implications

The social implications of RES include community engagement, public acceptance, and health benefits from improved air quality. Understanding these aspects is crucial for a successful transition to sustainable energy systems. Engaging local stakeholders in planning and decision-making ensures their concerns are addressed, leading to smoother implementation and greater acceptance (Segreto et al., 2020). However, local opposition may arise due to concerns about environmental impacts, aesthetic changes, and ecosystem disruptions (Phadke, 2011). Transparent communication, participatory planning, and attention to local values are essential for building trust and fostering acceptance (Mishra et al., 2024). The “Not In My Backyard” (NIMBY) phenomenon reflects tensions between support for renewable energy and reluctance to host projects. Strengthening community ownership and collaboration can improve local support (Mikalauskas and Mikalauskiene, 2017).

RES also provide major social benefits, including improved public health from enhanced air quality. Fossil fuel combustion is a major source of pollutants linked to respiratory and cardiovascular diseases (Segreto et al., 2020). Reducing fossil fuel use and expanding renewable energy can improve air quality and health outcomes. Studies show that greater renewable deployment can prevent premature deaths and reduce healthcare costs associated with air pollution (Buonocore et al., 2019). Cleaner energy transitions also decrease hospital visits and pollution-related illnesses (Mujtaba and Shahzad, 2020). Access to clean energy enhances wellbeing by providing reliable electricity for essential services such as healthcare, education, and sanitation. In rural areas, renewable systems can empower communities by improving living conditions and supporting economic development (Sadabadi et al., 2024). Prioritizing social dimensions in planning and implementation strengthens community wellbeing and supports a sustainable energy future (Senyapar, 2023).

4.3 Navigating land-use conflicts and safeguarding ecosystem services

Renewable energy developments often ignite land-use conflicts when large-scale solar and wind farms encroach upon ancestral territories or areas already under agricultural or conservation pressure (Lovering et al., 2022). Mega-projects have been shown to dispossess vulnerable communities through land grabbing that bypasses fair acquisition procedures, deepening socio-economic precarity and eroding trust in governance (Yenneti et al., 2016). Poor transparency in decision-making exacerbates both physical relocation and psychological displacement; studies of Canadian wind-farm siting report backlash driven by cultural loss and severed place attachment (Karanasios and Parker, 2018; Temper et al., 2020). At the same time, infrastructure siting can threaten biodiversity hotspots and undermine ecosystem services, with solar farms and turbines requiring extensive land clearance that risks long-term ecological damage (Rehbein et al., 2020; Tallis et al., 2018; Kiesecker et al., 2019).

Global ecosystem services are valued at US$125-140 trillion per year (Costanza et al., 2014; Johnson et al., 2023), and payments for ecosystem services can raise local incomes by 8%−12% in energy-project regions (Liu et al., 2024). Rural biogas adoption in Kyrgyzstan reduced indoor pollution by 30% and improved household energy security by 20% (Mehta et al., 2021), while biomass integration has strengthened livelihoods (Bühring and Silveira, 2018). Ecosystem-services valuation mechanisms also improve project bankability by addressing market failures and policy uncertainty (Owusu and Sarkodie, 2016). Surveys show 60%−75% public support for renewables but 25%−40% concern over landscape impacts (Almpanopoulou et al., 2017). Scenario-based environmental assessments can increase net ecosystem-services values by up to 18% through optimized land-use planning (Bejagam et al., 2021; Pascali et al., 2020). Emerging socio-ecological evaluation frameworks emphasize collaborative policy design to balance energy goals with ecosystem health (Gupta et al., 2023).

To navigate these socio-political challenges, policy frameworks must embed free, prior, and informed consent and integrate Indigenous knowledge systems to guide low-impact site selection and resource management (Wu et al., 2024; Arshad et al., 2023). Participatory planning using tools such as GIS for community mapping and co-design processes foster local ownership and align projects with cultural and ecological values (Flacke and Boer, 2017; Knuth et al., 2022). Alternative dispute-resolution mechanisms, including mediation and negotiation, build trust and support equitable benefit-sharing (Waris et al., 2019), while legal strategies that empower local and Indigenous voices secure compensation and stewardship roles (Oduro et al., 2024; Pfeiffer and Mulder, 2013). Coupled with systematic conservation planning and adaptive governance, these measures can mitigate conflicts, ensuring renewable energy transitions are both ecologically sustainable and socially just.

4.4 Metrics and indicators for measuring impacts and benefits

Robust frameworks of metrics and indicators are crucial for evaluating the impacts and benefits of RES on ecosystem services. These frameworks assess both the positive contributions of renewable energy and the potential trade-offs associated with deployment. For example, provisioning-services metrics such as food production can be measured through changes in crop yields or the use of agricultural residues for bioenergy (Pătru-Stupariu et al., 2020). Water-provision indicators, including water availability and quality are also critical, as projects like hydropower can significantly alter local hydrological cycles (Ramalho et al., 2023).

Regulating-services indicators, such as carbon sequestration, track ecosystem carbon-storage capacity and changes in carbon stocks over time (Trifonova et al., 2022). Air-quality metrics assess reductions in pollutants resulting from decreased fossil-fuel reliance, often monitored through environmental observation programs (Casalegno et al., 2014). Supporting-services metrics include biodiversity indices that capture impacts on avian and aquatic species (Vercelloni et al., 2018), while soil-health indicators such as soil organic carbon, nutrient cycling, and erosion rates are especially relevant for bioenergy crop systems (Oguanobi and Joel, 2024).

Cultural-services indicators include recreational-value assessments using surveys and valuation tools to gauge public preferences for landscapes altered by renewable installations (Song and Gao, 2024). Aesthetic-value metrics evaluate visual quality and community perceptions of project integration (Wehbi, 2024). Integrated metrics, such as ecosystem-service valuation, quantify the economic value of services affected by renewable energy, offering essential insights into trade-offs (Grilli et al., 2016). Trade-off and synergy analyses using multi-criteria decision analysis (MCDA) or integrated assessment models (IAMs) evaluate costs and benefits across multiple ecosystem services (Picchi et al., 2020).

Engaging in comprehensive LCAs is essential for understanding full environmental impacts, including resource extraction, manufacturing energy use, operational emissions, and end-of-life disposal or recycling (Hooper et al., 2017). A diverse suite of metrics is needed to capture these impacts comprehensively. By employing these indicators, stakeholders gain clearer insights into ecological trade-offs and synergies, supporting better-informed decision-making and sustainable energy practices. Continuous research should refine these metrics and develop innovative monitoring techniques to ensure renewable energy development aligns with ecological wellbeing and sustainability goals (Knowlton et al., 2021). Tables 2, 3 summarize key metrics used to evaluate impacts and benefits across ecosystem-service categories.

Table 2. Metrics and indicators for measuring impacts of RES on ecosystem services.

Service categoryMetricIndicatorDescriptionKey sources
Provisioning servicesFood productionCrop yields, utilization of agricultural residues for bioenergyAssesses the ability of RES to support agricultural productivity and food security.Pătru-Stupariu et al., 2020
Water provisionWater availability and quality metricsMeasures the impacts of renewable energy projects on local hydrological cycles.Ramalho et al., 2023
Regulating servicesCarbon sequestrationChanges in carbon stock measurementsQuantifies the carbon storage capacity of ecosystems influenced by renewable energy.Trifonova et al., 2022
Air quality improvementReduction of air pollutants (e.g., particulate matter, nitrogen oxides)Evaluates the reduction of air pollutants resulting from decreased reliance on fossil fuels.Casalegno et al., 2014
Supporting servicesBiodiversity indicesSpecies richness, abundance, diversity indicesProvides insights into the impacts of renewable energy projects on local wildlife.Vercelloni et al., 2018
Soil health evaluationSoil organic carbon content, nutrient cycling, soil erosion ratesAssesses soil health, particularly in the context of bioenergy crop production.Oguanobi and Joel, 2024
Cultural servicesRecreational value assessmentSurveys, valuation techniquesGauges public preferences for landscapes altered by renewable energy installations.Song and Gao, 2024
Aesthetic Value MetricsVisual quality, community perceptionsAssesses the visual quality and community perceptions of renewable energy projects' integration into the landscape.Wehbi, 2024
Integrated metrics and indicesEcosystem service valuationMonetary estimates for services (e.g., carbon sequestration, recreation, habitat preservation)Quantifies the economic value of ecosystem services impacted by renewable energy projects.Grilli et al., 2016
Trade-off and synergy analysisMulti-criteria decision analysis (MCDA), integrated assessment models (IAMs)Evaluates the costs and benefits across multiple ecosystem services.Picchi et al., 2020
Life cycle assessments (LCA)Comprehensive LCAsResource extraction, energy consumption during manufacturing, operational emissions, end-of-life disposal or recyclingAssesses the full environmental impacts of renewable energy technologies.Hooper et al., 2017

Table 3. Summary of benefits of RES on ecosystem services and metrics and indicators.

Renewable energy systemEcosystem servicesBenefitsMetrics to measure benefitsIndicators
Solar energyClimate regulationReduces greenhouse gas emissionsCarbon emissions reducedTons of CO2 equivalent
Provisioning servicesProvides clean, sustainable electricityRenewable energy producedMegawatt-hours (MWh) generated
Supporting servicesMinimizes impacts on biodiversity and habitatHabitat conservation areaNumber of species impacted
Cultural servicesEnhances aesthetic and recreational valuePublic satisfaction surveysPercentage of positive feedback
Wind energyClimate regulationReduces greenhouse gas emissionsCarbon emissions reducedTons of CO2 equivalent
Provisioning servicesProvides clean, sustainable electricityRenewable energy producedMegawatt-hours (MWh) generated
Supporting servicesPreserves habitat and biodiversityHabitat conservation areaNumber of species impacted
Cultural servicesEnhances aesthetic and recreational valuePublic satisfaction surveysPercentage of positive feedback
HydropowerRegulating servicesContributes to flood controlFlood control effectivenessReduction in flood damage costs
Provisioning servicesProvides reliable, renewable energyRenewable energy producedMegawatt-hours (MWh) generated
Supporting servicesSupports water management and conservationWater management efficiencyWater quality indices
Cultural servicesEnhances recreational opportunitiesRecreational facility usageNumber of visitors
Biomass and bioenergyProvisioning servicesUtilizes agricultural and forestry residuesBiomass utilization rateTons of biomass used
Climate regulationReduces greenhouse gas emissionsCarbon emissions reducedTons of CO2 equivalent
Supporting servicesMaintains soil health through sustainable practicesSoil health indicatorsSoil organic matter content
Cultural servicesFosters cultural and traditional practicesCommunity participation rateNumber of cultural events
BioenergyClimate regulationContributes to carbon sequestrationCarbon sequestration rateTons of CO2 sequestered
Supporting servicesEnhances nutrient cycling and soil healthNutrient cycling efficiencySoil nutrient levels
Cultural servicesFosters community engagement and ownershipCommunity participation rateNumber of community members involved

5 Policy and governance considerations

The development of RES is deeply influenced by policy and governance frameworks. Effective policies provide the legal, regulatory, and financial foundations necessary for transitioning to sustainable energy sources. By establishing clear guidelines, setting ambitious targets, and offering financial incentives, these frameworks drive innovation and investment in renewable energy. The following sections examine how policy promotes sustainable renewable-energy practices, integrates ecological considerations into planning, and supports effective governance. Together, they highlight the need for robust governance to balance energy production with environmental and socio-economic benefits.

5.1 Role of policy in promoting sustainable renewable energy practices

Effective promotion of renewable energy deployment relies on policy frameworks that provide legal, regulatory, and financial support for sustainable energy transitions. Robust regulations, such as Ghana's Renewable Energy Act of 2011, establish guidelines, clarify stakeholder roles, and set ambitious targets to drive investment and innovation. Policies promoting net metering also encourage solar PV adoption and strengthen grid resilience (Takase et al., 2022).

Financial incentives, including feed-in tariffs, tax credits, and grants reduce upfront capital costs and make renewable projects economically viable. By offering fixed payments to renewable producers, countries can stimulate investment in solar, wind, and biomass. Innovative financing mechanisms, such as green bonds and public-private partnerships, further mobilize private capital and support economic growth (Elavarasan et al., 2020). Strategic planning aligns renewable development with broader sustainability goals by considering social, economic, and environmental implications. Opportunity-mapping tools help identify suitable sites and minimize impacts on sensitive habitats (Eze et al., 2023). Moreover, community engagement and transparent communication build public support and address land-use and environmental concerns (Acheampong et al., 2019). Prioritizing these policy elements enables sustainable development that balances energy production with ecosystem-service provision.

5.2 Importance of integrating ecological considerations into energy planning

Integrating ecological considerations into energy planning is crucial for aligning renewable energy development with environmental sustainability and biodiversity conservation. As demand for renewable energy grows, it is important to assess and manage ecological impacts. This integration enhances ecosystem resilience by recognizing the interconnectedness of energy systems and natural environments. Through this approach, planners can identify critical habitats, migration corridors, and biodiversity hotspots needing protection during development, allowing such areas to be avoided. Additionally, ecological planning can guide deployment toward already disturbed or degraded sites suitable for solar installations, thereby reducing pressure on intact ecosystems and supporting broader landscape sustainability (Zyl et al., 2021).

Assessing project impacts on ecosystem services helps develop strategies that minimize negative effects and enhance synergies (Yiğitcanlar and Teriman, 2014). For example, incorporating green infrastructure such as green roofs and urban forests into urban planning can mitigate impacts of renewable installations while providing additional ecosystem services (Staniūnas et al., 2012). Integrating ecological considerations also strengthens community engagement and acceptance. Involving local communities in planning and addressing ecological concerns increases support for renewable initiatives (Ványolós et al., 2023). Community participation in biomass-energy planning, for instance, enhances social acceptance while prioritizing biodiversity conservation and soil health (Xiao et al., 2011). By fostering collaboration among developers, policymakers, and communities, ecological integration supports more sustainable and socially acceptable energy solutions. As the global renewable-energy transition accelerates, the importance of ecological integration in planning will continue to grow (Qin et al., 2024).

5.3 Examples of policy frameworks

Effective policy instruments such as feed-in tariffs, competitive auctions, and public-private partnerships are essential for scaling renewable energy while delivering socio-economic and ecosystem services benefits (Karimi and Karimi, 2024). Supplementary Table S2 summarizes examples of policy frameworks across regions, highlighting key instruments, primary outcomes (capacity growth, economic gains, and ecosystem-services co-benefits), and peer-reviewed documentation. This overview enables quick comparison of approaches and demonstrates how tailored policy mixes drive deployment and resilience worldwide. Meta-analyses show that policies aligned with regional socio-ecological contexts maximize uptake and co-benefits (Ewim et al., 2023). Embedding transparent long-term targets and diversified financing streams into regulatory frameworks cultivates green innovation, landscape resilience, and a strong foundation for comparative global policy analysis (Ayorinde et al., 2024).

In the Global South, policy frameworks are increasingly aligning energy access with sustainability by responding to both environmental and social imperatives. For instance, China's 14th Five-Year Plan prioritizes the ecological integration of its massive renewable expansion, emphasizing the harmonization of new projects with preservation goals (He et al., 2023). Similarly, India's National Solar Mission has incorporated land-use guidelines designed to minimize agricultural conflict, illustrating a proactive approach to balancing energy development with food security (Khosla et al., 2020; Hunt et al., 2024). Furthermore, South Africa's Renewable Energy Independent Power Producer Procurement Programme (REIPPPP) exemplifies how policy can enforce socioeconomic mandates, requiring projects to contribute directly to local community development (Akom et al., 2021; González et al., 2023). Collectively, these examples reflect a broader trend where renewable energy policy is framed within the context of sustainable development, linking energy access inextricably to ecological health and community welfare (Diallo and Ouoba, 2023; Prontera and Rubino, 2024; Kumba and Olanrewaju, 2024).

Elsewhere in Asia, Vietnam's aggressive feed-in tariffs and streamlined permitting doubled wind and solar capacity in 5 years, improving air quality and flood regulation in coastal provinces (Uzondu and Joseph, 2024; Nkordeh et al., 2023). Across ASEAN, regional cooperation and targeted grants have similarly accelerated solar and wind deployment (Damu et al., 2023; Polzin et al., 2015).

In other developing countries, Brazil's Prosolar program used tax incentives and low-interest financing to expand rooftop and utility-scale solar, easing deforestation pressures in Amazon-adjacent watersheds (Ewim et al., 2023). Mexico's 2015 energy reform opened the electricity market to competition, tripling wind capacity through auctions and investment guarantees (Chukwuemeka et al., 2023). Chile's transparent renewable auctions cut solar generation costs by more than 50% in 5 years and attracted major international investment (Eze et al., 2023; Hunt et al., 2024). The ECOWAS Renewable Energy Policy targets 48% renewables by 2030 through harmonized procurement and capacity building (Ballo et al., 2022). Similarly, Nigeria's Renewable Energy Master Plan supports local manufacturing and community microgrids for underserved areas (Odebala, 2023). In eastern Africa, Kenya's feed-in tariff scheme drove geothermal and solar investment (Kumar, 2020), while Tanzania's participatory microgrids illustrate how local governance enhances socio-economic and cultural outcomes (Altassan, 2023; Silva et al., 2018).

Developed countries also demonstrate strong policy leadership. In the United States, California's Renewable Portfolio Standard spurred major solar and wind growth through incremental clean-energy targets (Cetković and Buzogány, 2016; Anderson et al., 2017), while New York's Clean Energy Standard aims for 70% renewables by 2030, aligning local and statewide priorities (Reynolds, 2025). Canada's Clean Growth Strategy pairs emissions targets with clean-tech investments to benefit disadvantaged communities (Menezes and Zheng, 2018; Kovalskyi et al., 2024). The EU's Renewable Energy Directive set binding 20/20/20 targets for 2020, driving feed-in tariffs, portfolio standards, and research funding across member states (Bórawski et al., 2022; Janiszewska, 2019). Denmark achieved roughly 47% wind-generated electricity by 2019 through stable tariffs and community ownership (Eze et al., 2023; Strachan et al., 2015), while Germany's Energiewende used multi-faceted policies to spur solar, wind, and biomass innovation (Ossowska, 2019; Davis and Elmessiry, 2021). Finland and Sweden set carbon-neutrality goals supported by strong bioenergy and hydropower incentives (Adedoyin et al., 2020; Lahrech et al., 2024), and Portugal targets 80% renewables by 2030 through financial incentives (Witkowska et al., 2021). Iceland's 100% renewable electricity mix underscores the value of aligning policy with local resource endowments (Tol, 2012).

6 Future directions and research needs

To develop sustainable energy practices that protect ecological integrity, it is essential to address current gaps in understanding the ecological and socio-economic impacts of renewable energy deployment. Key research gaps highlight the need for integrated spatial planning, comprehensive data, and long-term monitoring to inform adaptive management. Future studies should adopt innovative methodologies, conservation-planning frameworks, and incorporate ecological and social metrics. Additionally, emerging technologies can mitigate negative impacts, including advanced energy-storage systems, smart-grid infrastructure, and community-based initiatives.

6.1 Critical research gaps and unanswered questions

Despite growing research on interactions between ecosystem services and RES, significant gaps remain. Addressing these gaps is crucial for developing policies and strategies that promote sustainable energy while protecting ecological integrity. One key area for further study is the integration of ecosystem services into energy planning and decision-making, as many assessments focus on individual technologies without considering cumulative ecological impacts (Perrotti and Stremke, 2018). Additionally, limited national and regional ecosystem-services data hinders understanding of renewable-energy impacts, with many studies excluding these services from indicators due to data constraints (Feng et al., 2023). Most research also emphasizes facility-level impacts, neglecting broader landscape-scale and ecosystem-level effects that are critical for evaluating long-term consequences of renewable deployment (Iranzo et al., 2025).

Furthermore, several key controversies and unanswered questions require urgent attention, particularly regarding the trade-offs between “land-sparing” (intensifying generation in dedicated zones) and “land-sharing” strategies (integrating renewables into agricultural or natural landscapes, such as agrivoltaics). The ecological outcomes of these opposing approaches remain poorly quantified across diverse biomes, creating significant gaps in understanding their relative environmental impacts (Ramos et al., 2023; Albou et al., 2024; Böhm et al., 2024). Simultaneously, the long-term cumulative impacts of offshore wind farms on marine stratification, nutrient cycling, and food webs represent a major knowledge void, with empirical data remaining scarce despite expanding global capacity (Pender et al., 2024; Sobczuk et al., 2025; Turhan et al., 2025). Finally, the lifecycle sustainability of RES hardware, specifically the end-of-life management of PV panels and composite turbine blades, is frequently overlooked in ecosystem service assessments, highlighting an urgent need for improved recycling strategies to prevent hazardous waste accumulation and support a circular economy (Miranda et al., 2024; Tayebi et al., 2024; Cameron et al., 2025).

The complex, context-dependent trade-offs and synergies between renewable energy development and ecosystem services require deeper investigation. Understanding how different technologies interact with local ecosystems and communities is essential (Schneider and Kubíčková, 2020). Long-term monitoring studies are also needed, as short-term assessments often miss full ecological responses. Continuous monitoring is vital for evaluating long-term effects on biodiversity and ecosystem services and for informing adaptive management (Rehbein et al., 2020). Supplementary Table S3 summarizes these key research gaps.

6.2 Future directions and perspectives

Moving beyond the identification of gaps, the future of renewable energy research must pivot toward actionable, forward-looking perspectives. Advancing the sustainability of renewable energy deployment requires targeted research that deepens understanding of its ecological, social, and economic implications. A priority for future work is the development of comprehensive spatial-planning frameworks that maximize energy generation while minimizing impacts on biodiversity and ecosystem services. Conservation planning provides a robust foundation for identifying areas where renewable energy can be deployed with minimal ecological conflict (Margules and Pressey, 2000; Cowling et al., 2008). Building on this foundation, emerging research in systematic conservation planning and multi-objective spatial optimization should continue integrating biodiversity objectives directly into renewable-energy siting to identify low-conflict zones for wind and solar development (Kiesecker et al., 2024).

A second priority is the need for longitudinal assessments of ecosystem-service trade-offs, which clarify how renewable infrastructure reshapes ecological functions and benefits over time. Such studies are essential for informing adaptive management and understanding cumulative landscape-scale impacts (Sawyer et al., 2022). Once projects move into implementation, rigorous monitoring becomes critical. Future studies should adopt Before-After-Control-Impact (BACI) designs to evaluate ecological responses, ensuring that pre-construction baselines and unaffected reference sites are included in assessments (Iranzo et al., 2025).

Recent advances in spatial modeling underscore the importance of moving beyond project-level assessments toward integrated, landscape-scale planning. Incorporating natural capital data into energy-system models, such as Delafield et al. (2024) using the ADVENT-NEV model can substantially shift optimal infrastructure configurations, revealing pathways that meet decarbonization goals while reducing harm to nature. Similarly, Climate-Smart Siting approaches (Ashraf et al., 2024) use optimization routines to identify areas where renewable development poses the least risk to species with shifting ranges under climate change. These innovations are complemented by harmonized, multi-scale planning frameworks (Badelt et al., 2025) that emphasize transparent data integration to align local ecosystem values with national energy targets.

Future research should also integrate ecological and social metrics into renewable-energy siting. Approaches such as urban-metabolism modeling can quantify ecosystem service flows within energy-planning contexts, while participatory and socio-ecological assessments ensure community perspectives, equity considerations, and benefit-sharing mechanisms are embedded in decision-making (Perrotti and Stremke, 2018). Addressing persistent knowledge gaps in under-studied ecosystems, especially tropical and subtropical regions facing rapid biodiversity loss, remains essential for developing globally relevant planning frameworks (Newbold, 2018). Finally, comprehensive evaluations of the socio-economic impacts of renewable-energy projects, including community engagement, public acceptance, and benefit distribution, are needed to support equitable and socially robust energy transitions (Oguanobi and Joel, 2024). Collectively, these research directions will strengthen the evidence base guiding sustainable renewable-energy development, as summarized in Supplementary Table S4.

6.3 Potential for innovative technologies to mitigate negative impacts

Innovative technologies offer significant opportunities to mitigate the ecological impacts of RES. By integrating cutting-edge solutions, stakeholders can enhance sustainability, reduce resource consumption, and minimize adverse ecosystem effects. For instance, combining renewable systems with complementary technologies can optimize resource use and reduce environmental burdens. Using CSP for seawater desalination addresses both energy and water scarcity while lowering the carbon footprint of water production (Alhaj and Al-Ghamdi, 2019). Energy-storage innovations, including battery and pumped-hydro systems are critical for managing intermittency in solar and wind generation. Advancements in lithium-sulfur and solid-state batteries promise higher energy density and reduced environmental impacts (Goliński and Foltynowicz, 2018).

Smart-grid technologies further support efficient integration of renewables into existing systems. Through advanced communication and control capabilities, smart grids optimize distribution, enhance reliability, and reduce energy losses (Vovchenko et al., 2019; Arshad et al., 2023). Innovative design approaches and eco-friendly materials also help reduce environmental impacts. Bird- and bat-friendly turbine designs aim to lower wildlife fatalities (Yan et al., 2020), while sustainable materials in solar-panel and turbine manufacturing reduce lifecycle carbon footprints. Research into biodegradable or recyclable materials further enhances sustainability and reduces waste generation (Séin-Echaluce and Fidalgo-Blanco, 2021).

Additionally, innovative technologies can empower communities to participate directly in renewable energy production. Community-based initiatives, such as cooperative solar projects and local wind farms enable residents to invest in and benefit from renewable systems, strengthening energy security and promoting social equity (Liu, 2023). Supplementary Table S5 summarizes these technologies and their potential to mitigate negative impacts.

7 Conclusion

This review highlights that while RES are essential for combating climate change, their large-scale deployment presents complex ecological challenges that must not be overlooked. Although renewable technologies offer profound socio-economic benefits, ranging from job creation to improved public health, these gains must be balanced against potential habitat fragmentation and biodiversity loss. Achieving a truly sustainable energy future requires moving beyond a singular focus on carbon reduction to a holistic framework where ecosystem services are central to energy planning. Ultimately, researchers, policymakers, and developers must collaborate to embed ecological design principles into regulatory frameworks, ensuring that the global transition to clean energy does not come at the cost of the very ecosystems it aims to protect.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsuep.2026.1598381/full#supplementary-material

Supplementary material Supplementary material at the source

Footnotes

Edited by: Chun Kai Leung, The University of Hong Kong, Hong Kong SAR, China

Reviewed by: Muhammad Tamoor, Chinese Academy of Sciences (CAS), China

Andrew Lovett, University of East Anglia, United Kingdom

Statements

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Author contributions

LA: Writing – review & editing, Methodology, Writing – original draft, Conceptualization, Formal analysis, Resources. BE: Methodology, Supervision, Writing – review & editing, Writing – original draft, Funding acquisition.

References

  1. Abid M., Kumar M., Raj V., Dhas M. (2023). Environmental impacts of the solar photovoltaic systems in the context of globalization. Ecol. Eng. Environ. Technol. 24, 231 – 240. doi: doi:10.12912/27197050/157168
  2. Acheampong M., Yu Q., Ertem F., Ebude L., Tanim S., Eduful M.. (2019). Is Ghana ready to attain sustainable development goal (SDG) number 7? —a comprehensive assessment of its renewable energy potential and pitfalls. Energies 12: 408. doi: doi:10.3390/en12030408
  3. Adams J., Kelsey E., Felis J., Pereksta D. (2017). Collision and displacement vulnerability among marine birds of the California current system associated with offshore wind energy infrastructure. U.S. Geological Survey, Reston, VA. Open File Report 2016–1154. p. 116. doi: doi:10.3133/ofr20161154
  4. Adedoyin F., Bekun F., Alola A. (2020). Growth impact of transition from non-renewable to renewable energy in the EU: the role of research and development expenditure. Renew. Energy 159, 1139 – 1145. doi: doi:10.1016/j.renene.2020.06.015
  5. Adeh E., Good S., Calaf M., Higgins C. (2019). Solar PV power potential is greatest over croplands. Sci. Rep. 9: 11442. doi: doi:10.1038/s41598-019-47803-3
  6. Akom K., Shongwe T., Joseph M. (2021). South Africa's integrated energy planning framework, 2015–2050. J. Energy South. Afr. 32, 68 – 82. doi: doi:10.17159/2413-3051/2021/v32i1a8517
  7. Albou E., Abdellaoui M., Abdaoui A., Boughrous A. (2024). Agricultural practices and their impact on aquatic ecosystems – a mini-review. Ecol. Eng. Environ. Technol. 25, 321 – 331. doi: doi:10.12912/27197050/175652
  8. Albrecht E., Lukkarinen J., Hakkarainen M., Soininen N. (2023). Hydropowering sustainability transformation: policy frames on river use and restoration in Finland. Fennia Int. J. Geogr. 201, 47 – 64. doi: doi:10.11143/fennia.120946
  9. Alhaj M., Al-Ghamdi S. (2019). Integrating concentrated solar power with seawater desalination technologies: a multi-regional environmental assessment. Environ. Res. Lett. 14: 74014. doi: doi:10.1088/1748-9326/ab1d74
  10. Almpanopoulou A., Bergman J., Ahonen T., Blomqvist K., Ritala P., Honkapuro S.. (2017). Emergence of energy services ecosystems: scenario method as a policy enabler. J. Innov. Manag. 5, 58 – 77. doi: doi:10.24840/2183-0606_005.001_0006
  11. Altassan A. (2023). Sustainable integration of solar energy, behavior change, and recycling practices in educational institutions: a holistic framework for environmental conservation and quality education. Sustainability 15: 15157. doi: doi:10.3390/su152015157
  12. Anderson B., Böhmelt T., Ward H. (2017). Public opinion and environmental policy output: a cross-national analysis of energy policies in Europe. Environ. Res. Lett. 12: 114011. doi: doi:10.1088/1748-9326/aa8f80
  13. Anderson E., Jenkins C., Heilpern S., Maldonado-Ocampo J., Carvajal-Vallejos F., Encalada A.. (2018). Fragmentation of Andes-to-Amazon connectivity by hydropower dams. Sci. Adv. 4: eaao1642. doi: doi:10.1126/sciadv.aao1642
  14. Anonas S., Eugenio F., Flores B., Balite P., Tomacruz J., Limjuco L.. (2023). From waste to renewable energy: a policy review on waste-to-energy in the Philippines. Sustainability 15: 12963. doi: doi:10.3390/su151712963
  15. Arief Y., Abut A., Mubarakah N., Siregar Y., Eteruddin H., Masdi H. (2023). “Simulation investigation of solar PV rooftop design at faculty of engineering-universiti Malaysia Sarawak building, Malaysia,” in 2023 7th International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM) (Medan: IEEE), 144 – 149.
  16. Arroyo M. F. R., Miguel L. J. (2020). The role of renewable energies for the sustainable energy governance and environmental policies for the mitigation of climate change in Ecuador. Energies 13: 3883. doi: doi:10.3390/en13153883
  17. Arshad A., Saghir G., Nasim I., Raza K. (2023). Renewable energy, green finance, ecological footprints and environmental quality: a new insight from south Asian countries. Pakistan J. Hum. Soc. Sci. 11, 3777 – 3787. doi: doi:10.52131/pjhss.2023.1103.0656
  18. Ashraf U., Morelli T., Smith A., Hernandez R. (2024). Climate-Smart Siting for renewable energy expansion. iScience 27: 110666. doi: doi:10.1016/j.isci.2024.110666
  19. Ayorinde O., Etukudoh E., Nwokediegwu Z., Ibekwe K., Umoh A., Hamdan A. (2024). Renewable energy projects in Africa: a review of climate finance strategies. Int. J. Sci. Res. Arch. 11, 923 – 932. doi: doi:10.30574/ijsra.2024.11.1.0170
  20. Badelt O., Wiehe J., von Haaren C. (2025). Harnessing energy abundance: sustainable expansion of solar parks in Lower Saxony through harmonized spatial planning. Energy. Sustain. Soc. 15: 22. doi: doi:10.1186/s13705-025-00519-x
  21. Ballo A., Valentin K., Korgo B., Ogunjobi K., Agbo S., Daouda K.. (2022). Law and policy review on green hydrogen potential in ECOWAS countries. Energies 15: 2304. doi: doi:10.3390/en15072304
  22. Barbera E., Mio A., Pavan A., Bertucco A., Fermeglia M. (2022). Fuelling power plants by natural gas: an analysis of energy efficiency, economical aspects and environmental footprint based on detailed process simulation of the whole carbon capture and storage system. Energy Convers. Manag. 252: 115072. doi: doi:10.1016/j.enconman.2021.115072
  23. Behabtu H., Messagie M., Coosemans T., Berecibar M., Fante K., Kebede A.. (2020). A review of energy storage technologies' application potentials in renewable energy sources grid integration. Sustainability 12: 10511. doi: doi:10.3390/su122410511
  24. Bejagam V., Reddy K., Sridhar V. (2021). Impacts of climate change on water provisional services in Tungabhadra basin using InVEST model. River Res. Appl. 38, 94 – 106. doi: doi:10.1002/rra.3891
  25. Bhattacharya S. (2025). A comparative review of sustainable solar photovoltaic applications under limited land availability. Wiley Interdiscip. Rev. Energy Environ. 14: e70016. doi: doi:10.1002/wene.70016
  26. Böhm J., Holzheid F., Schäfer M., Krexner T. (2024). Life cycle assessment of electricity from wind, photovoltaic and biogas from maize in combination with area-specific energy yields – a case study for Germany. Environ. Res. Commun. 6: 105022. doi: doi:10.1088/2515-7620/ad7dd9
  27. Bórawski P., Wyszomierski R., Bełdycka-Bórawska A., Mickiewicz B., Kalinowska B., Dunn J.. (2022). Development of renewable energy sources in the European Union in the context of sustainable development policy. Energies 15: 1545. doi: doi:10.3390/en15041545
  28. Bošnjaković M., Sánta R., Crnac Z., Bošnjaković T. (2023). Environmental Impact of PV Power Systems. Sustainability 15: 11888. doi: doi:10.3390/su151511888
  29. Brauman K. A., Daily G. C., Duarte T. K., Mooney H. A. (2007). The nature and value of ecosystem services: an overview highlighting hydrologic services. Ann. Rev. Environ. Resour. 32, 67 – 98. doi: doi:10.1146/annurev.energy.32.031306.102758
  30. Bühring G., Silveira V. (2018). Biogas originated from residual biomass in ecosystem services. Ambi. Água 13: 1. doi: doi:10.4136/ambi-agua.2214
  31. Buonocore J., Hughes E., Michanowicz D., Heo J., Allen J., Williams A. (2019). Climate and health benefits of increasing renewable energy deployment in the United States. Environ. Res. Lett. 14: 114010. doi: doi:10.1088/1748-9326/ab49bc
  32. Cameron C., Spatari S., Baxter J., Creighton M. (2025). Life cycle assessment to quantify global warming and human health-respiratory impacts of using composites from waste wind turbine blades as feedstock for cement clinker and fiberglass production. Environ. Sci. Technol. 59, 21476 – 21485. doi: doi:10.1021/acs.est.5c07978
  33. Cameron D., Cohen B., Morrison S. (2012). An approach to enhance the conservation-compatibility of solar energy development. PLoS ONE 7: e38437. doi: doi:10.1371/journal.pone.0038437
  34. Carlisle J., Kane S., Solan D., Bowman M., Joe J. (2015). Public attitudes regarding large-scale solar energy development in the U.S. Renew. Sustain. Energy Rev. 48, 835 – 847. doi: doi:10.1016/j.rser.2015.04.047
  35. Carpenter S. R., Mooney H. A., Agard J., Capistrano D., DeFries R. S., Díaz S.. (2009). Science for managing ecosystem services: beyond the Millennium Ecosystem Assessment. Proc. Natl. Acad. Sci. 106, 1305 – 1312. doi: doi:10.1073/pnas.0808772106
  36. Carvalho M., Menezes V., Gomes K., Pinheiro R. (2019). Carbon footprint associated with a mono-Si cell photovoltaic ceramic roof tile system. Environ. Prog. Sustain. Energy 38: 13120. doi: doi:10.1002/ep.13120
  37. Casalegno S., Bennie J., Inger R., Gaston K. (2014). Regional scale prioritisation for key ecosystem services, renewable energy production and urban development. PLoS ONE 9: e107822. doi: doi:10.1371/journal.pone.0107822
  38. Cetković S., Buzogány Á. (2016). Varieties of capitalism and clean energy transitions in the European Union: when renewable energy hits different economic logics. Clim. Policy 16, 642 – 657. doi: doi:10.1080/14693062.2015s.1135778
  39. Chen D., Li H., Lai C., Lai L. (2023). Reinforcement learning-based profit maximization for battery energy storage systems with electric vehicles and photovoltaic systems. IET Conf. Proc. 2023, 35 – 40. doi: doi:10.1049/icp.2023.3100
  40. Chukwuemeka N., Ugonna A., Ugochukwu O., Immaculata E., Chiziterem E., Chukwubuikem O. (2023). The challenges and opportunities of energy transition across Africa. Int. J. Environ. Clim. Change 13, 4312 – 4339. doi: doi:10.9734/ijecc/2023/v13i103109
  41. Copping A., Hemery L., Overhus D., Garavelli L., Freeman M., Whiting J.. (2020). Potential environmental effects of marine renewable energy development—the state of the science. J. Mar. Sci. Eng. 8: 879. doi: doi:10.3390/jmse8110879
  42. Corona B., Miguel G., Cerrajero E. (2014). Life cycle assessment of concentrated solar power (CSP) and the influence of hybridising with natural gas. Int. J. Life Cycle Assess. 19, 1264 – 1275. doi: doi:10.1007/s11367-014-0728-z
  43. Costanza R., Groot R., Sutton P., Ploeg S., Anderson S., Kubiszewski I.. (2014). Changes in the global value of ecosystem services. Glob. Environ. Change 26, 152 – 158. doi: doi:10.1016/j.gloenvcha.2014.04.002
  44. Cowling R.M., Egoh B., Knight A.T., O'Farrell P.J., Reyers B., Rouget M.. (2008). An operational model for mainstreaming ecosystem services for implementation. Proc. Natl. Acad. Sci. 105, 9483 – 9488. doi: doi:10.1073/pnas.0706559105
  45. Damu D., Wong B., Chai J., Wong C., Afrouzi H., Hassan A. (2023). A review of renewable energy development in ASEAN, policies, environmental and economic impacst. Future Sustain. 1, 13 – 22. doi: doi:10.55670/fpll.fusus.1.1.2
  46. Dannheim J., Bergström L., Birchenough S., Brzana R., Boon A., Coolen J.. (2019). Benthic effects of offshore renewables: identification of knowledge gaps and urgently needed research. ICES J. Mar. Sci. 77, 1092 – 1108. doi: doi:10.1093/icesjms/fsz018
  47. Davis S., Kauneckis D., Kruse N., Miller K., Zimmer M., Dabelko G. (2016). Closing the loop: integrative systems management of waste in food, energy, and water systems. J. Environ. Stud. Sci. 6, 11 – 24. doi: doi:10.1007/s13412-016-0370-0
  48. Davis T., Elmessiry A. (2021). Proof of renewable (PoR) the ROBe2 Protocol. AIRCC Publ. Corp. 11, 101 – 111. doi: doi:10.5121/csit.2021.111710
  49. de Assis Espécie M., de Carvalho P. N., Pinheiro M. F. B., Rosenthal V. M., da Silva L. A. F., de Carvalhaes Pinheiro M. R.. (2019). Ecosystem services and renewable power generation: a preliminary literature review. Renew. Energy 140, 39 – 51. doi: doi:10.1016/j.renene.2019.03.076
  50. Delafield E., Smith G., Day B., Holland R., Donnison C., Hastings A.. (2024). Spatial context matters: assessing how future renewable energy pathways will impact nature and society. Renew. Energy, 220: 119385. doi: doi:10.1016/j.renene.2023.119385
  51. Dennedy-Frank P., Muenich R., Chaubey I., Ziv G. (2016). Comparing two tools for ecosystem service assessments regarding water resources decisions. J. Environ. Manag. 177, 331 – 340. doi: doi:10.1016/j.jenvman.2016.03.012
  52. Diallo S., Ouoba Y. (2023). Financial development and renewable energy deployment in sub-Saharan African countries. Int. J. Energy Sect. Manag. 18, 1305 – 1327. doi: doi:10.1108/IJESM-06-2023-0012
  53. Dinesh H., Pearce J. M. (2016). The potential of agrivoltaic systems. Renew. Sustain. Energy Rev. 54, 299 – 308. doi: doi:10.1016/j.rser.2015.10.024
  54. Dong T., Xu W., Zheng H., Xiao Y., Kong L., Ouyang Z. (2018). A framework for regional ecological risk warning based on ecosystem service approach: a case study in Ganzi, China. Sustainability 10: 2699. doi: doi:10.3390/su10082699
  55. Drean B. (2022). Green economy and social welfare in Malaysia: ardl approach. Tamansiswa Manag. J. Int. 4, 13 – 19. doi: doi:10.54204/TMJI/Vol412022003
  56. Duerr A., Parsons A., Nagy L., Kuehn M., Bloom P. (2023). Effectiveness of an artificial intelligence-based system to curtail wind turbines to reduce eagle collisions. PLoS ONE 18: e0278754. doi: doi:10.1371/journal.pone.0278754
  57. Eitan A. (2021). Promoting renewable energy to cope with climate change—policy discourse in Israel. Sustainability 13: 3170. doi: doi:10.3390/su13063170
  58. Elavarasan R., Shafiullah G., Padmanaban S., Kumar N., Annam A., Vetrichelvan A.. (2020). A comprehensive review on renewable energy development, challenges, and policies of leading Indian states with an international perspective. IEEE Access 8, 74432 – 74457. doi: doi:10.1109/ACCESS.2020.2988011
  59. Ewim D., Abolarin S., Scott T., Anyanwu C. (2023). A survey on the understanding and viewpoints of renewable energy among South African school students. J. Eng. Exact Sci. 9: 15375 -01e. doi: doi:10.18540/jcecvl9iss2pp15375-01e
  60. Eze V., Edozie E., Wisdom O., Uche C. (2023). A comparative analysis of renewable energy policies and its impact on economic growth: a review. Int. J. Educ. Sci. Technol. Eng. 6, 41 – 46. doi: doi:10.36079/lamintang.ijeste-0602.555
  61. Feng C., Ye G., Zeng J., Zeng J., Jiang Q., He L.. (2023). Sustainably developing global blue carbon for climate change mitigation and economic benefits through international cooperation. Nat. Commun. 14: 6144. doi: doi:10.1038/s41467-023-41870-x
  62. Flacke J., Boer C. (2017). An interactive planning support tool for addressing social acceptance of renewable energy projects in the Netherlands. ISPRS Int. J. Geo Inf. 6: 313. doi: doi:10.3390/ijgi6100313
  63. Fthenakis V., Kim H. (2012). Life cycle assessment of high-concentration photovoltaic systems. Prog. Photovolt. Res. Appl. 21, 379 – 388. doi: doi:10.1002/pip.1186
  64. Fu B., Li N. (2019). Tradeoff between hydropower and river visual landscape services in mountainous areas. Sustainability 11: 5509. doi: doi:10.3390/su11195509
  65. Gaete-Morales C., Gallego-Schmid A., Stamford L., Azapagic A. (2018). Assessing the environmental sustainability of electricity generation in Chile. Sci. Total Environ. 636, 1155 – 1170. doi: doi:10.1016/j.scitotenv.2018.04.346
  66. Gao X., Hu Y., Wang B. (2022). “Research on coordinated trading of electricity and carbon in clean energy under the background of carbon neutralization,” in Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022) (Dordrecht: Atlantis Press), 511–520. doi: doi:10.2991/978-94-6463-010-7_53
  67. Gkalonaki S., Karatzas K. (2022). Assessing the environmental impacts of renewable energy sources with emphasis on wind energy. IOP Conf. Series Earth Environ. Sci. 1123: 12053. doi: doi:10.1088/1755-1315/1123/1/012053
  68. Goliński T., Foltynowicz Z. (2018). Valuation of ecosystem services for implementing innovative clean technology. Polish J. Environ. Stud. 27, 1513 – 1521. doi: doi:10.15244/pjoes/77097
  69. González A., Macía Y., Ferreira L., Valdés J. (2023). Socio-ecological controversies from Chilean and Brazilian sustainable energy transitions. Sustainability 15: 1861. doi: doi:10.3390/su15031861
  70. Grilli G., Balest J., Meo I., Garegnani G., Paletto A. (2016). Experts' opinions on the effects of renewable energy development on ecosystem services in the alpine region. J. Renew. Sustain. Energy 8: 13115. doi: doi:10.1063/1.4943010
  71. Grilli G., Curetti G., Meo I., Garegnani G., Miotello F., Poljanec A.. (2015). Experts' perceptions of the effects of forest biomass harvesting on sustainability in the alpine region. South East Eur. For. 6, 77 – 95. doi: doi:10.15177/seefor.15-01
  72. Guðmundsdóttir H., Carton W., Busch H., Ramasar V. (2018). Modernist dreams and green sagas: the neoliberal politics of Iceland's renewable energy economy. Environ. Plan. E Nat. Space 1, 579 – 601. doi: doi:10.1177/2514848618796829
  73. Gupta H., Agarwal P., Gupta K., Baliarsingh S., Vyas O., Puliafito A. (2023). Fedgrid: a secure framework with federated learning for energy optimization in the smart grid. Energies 16: 8097. doi: doi:10.3390/en16248097
  74. Hales S., Butler C., Woodward A., Corvalán C. (2004). Health aspects of the Millennium Ecosystem Assessment. EcoHealth 1, 124 – 128. doi: doi:10.1007/s10393-004-0085-7
  75. Hamilton L., Santini-Bell E., Hartter J., Salerno J. (2018). A change in the wind? US public views on renewable energy and climate compared. Energy Sustain. Soc. 8: 11. doi: doi:10.1186/s13705-018-0152-5
  76. Hanes R., Gopalakrishnan V., Bakshi B. (2017). Synergies and trade-offs in renewable energy landscapes: balancing energy production with economics and ecosystem services. Appl. Energy 199, 25 – 44. doi: doi:10.1016/j.apenergy.2017.04.081
  77. Hasan M., Hossain S., Mofijur M., Kabir Z., Badruddin I., Khan T.. (2023). Harnessing solar power: a review of photovoltaic innovations, solar thermal systems, and the dawn of energy storage solutions. Energies 16: 6456. doi: doi:10.3390/en16186456
  78. He G., Chen Q., Kang C., Xia Q. (2016). Optimal offering strategy for concentrating solar power plants in joint energy, reserve and regulation markets. IEEE Trans. Sustain. Energy 7, 1245 – 1254. doi: doi:10.1109/TSTE.2016.2533637
  79. He S., Wu X., Guo J. (2023). Features and comparative research on ecological civilization vocabularies in the five-year plan of China. J. Glob. Inf. Manag. 31, 1 – 26. doi: doi:10.4018/JGIM.330149
  80. Hernandez R., Easter S., Murphy-Mariscal M., Maestre F., Tavassoli M., Allen E.. (2014). Environmental impacts of utility-scale solar energy. Renew. Sustain. Energy Rev. 29, 766 – 779. doi: doi:10.1016/j.rser.2013.08.041
  81. Hoffacker M., Allen M., Hernandez R. (2017). Land-sparing opportunities for solar energy development in agricultural landscapes: a case study of the Great Central Valley, CA, United States. Environ. Sci. Technol. 51, 14472 – 14482. doi: doi:10.1021/acs.est.7b05110
  82. Hooper T., Beaumont N., Hattam C. (2017). The implications of energy systems for ecosystem services: a detailed case study of offshore wind. Renew. Sustain. Energy Rev. 70, 230 – 241. doi: doi:10.1016/j.rser.2016.11.248
  83. Huang L., Xu X., Shao Q., Liu J. (2014). Improving carbon mitigation potential through grassland ecosystem restoration under climatic change in northeastern Tibetan plateau. Adv. Meteorol. 2014, 1 – 11. doi: doi:10.1155/2014/379306s
  84. Huang S., Du C., Xian J., Zhang D., Wen S., Jia Z. (2023). The impact of carbon emission trading on renewable energy: a comparative analysis based on the CGE model. Sustainability 15: 12649. doi: doi:10.3390/su151612649
  85. Hunt L., Kipouros P., Lamprakis Z. (2024). The drivers of renewable energy: a global empirical analysis of developed and developing countries. Energies 17: 2902. doi: doi:10.3390/en17122902
  86. Ibrahim M., Ashor K. (2024). NEW generation of solar energy: investigation and implementation of artificial solar tree application in Egypt. Solar Energy 278: 112787. doi: doi:10.1016/j.solener.2024.112787
  87. Ijaz T., Qazalbash A., Razzaq A., Rafique M., Khan M., Jamshaid S. (2024). Development of green manufacturing implementation framework based on life-cycle assessment. Sustain. Environ. Res. 34: 23. doi: doi:10.1186/s42834-024-00229-7
  88. Iranzo E. C., Nicolau J. M., Reiné R., Tormo J. (2025). Current knowledge on novel semi-arid photovoltaic ecosystems, their impacts on biodiversity and implications for the sustainability of renewable energy production. Land 14: 1188. doi: doi:10.3390/land14061188
  89. IRENA R. R. (2019). Global energy transformation: a roadmap to 2050 (2019 edition). Abu Dhabi: International Renewable Energy Agency.
  90. Islam M., Hassan N., Rasul M., Emami K., Chowdhury A. (2024). Life cycle environmental assessment of hybrid renewable energy system. E3s Web Conf. 545: 1001. doi: doi:10.1051/e3sconf/202454501001
  91. Jacobo E., Rodríguez A. (2024). Ecosystem services of grazed grasslands in the flooding Pampa. Phyton 93, 1179 – 1202. doi: doi:10.32604/phyton.2024.050928
  92. Janiszewska D. (2019). Diversification of energy production and consumption in European Union countries. Energy Policy J. 22, 5 – 20. doi: doi:10.33223/epj/109338
  93. Jia G., Dong Y., Zhang S., He X., Zheng H., Guo Y.. (2022). Spatiotemporal changes of ecosystem service trade-offs under the influence of forest conservation project in northeast China. Front. Ecol. Evol. 10: 978145. doi: doi:10.3389/fevo.2022.978145
  94. Johnson J., Baldos U., Corong E., Hertel T., Polasky S., Cervigni R.. (2023). Investing in nature can improve equity and economic returns. Proc. Natl. Acad. Sci. 120: e2220401120. doi: doi:10.1073/pnas.2220401120
  95. Jü X., Xu C., Hu Y., Han X., Wei G., Du X. (2017). A review on the development of photovoltaic/concentrated solar power (PV-CSP) hybrid systems. Solar Energy Mater. Solar Cells 161, 305 – 327. doi: doi:10.1016/j.solmat.2016.12.004
  96. Jung M., Rowhani P., Scharlemann J. (2019). Impacts of past abrupt land change on local biodiversity globally. Nat. Commun. 10: 5474. doi: doi:10.1038/s41467-019-13452-3
  97. Júnior J., Almeida H. (2023). Potentiality of solar photovoltaic energy in Paraiba, Brazil, and the relation with sustainable development. J. Geosci. Environ. Prot. 11, 135 – 149. doi: doi:10.4236/gep.2023.115008
  98. Kabeyi M. J. B., Olanrewaju O. A. (2023). Life cycle carbon emissions of energy sources. AIP Conf. Proc. 3018: 020017. doi: doi:10.1063/5.0171605
  99. Kabir S. (2024). Integrating solar power with existing grids: strategies, technologies, and challenges – a review. Int. J. Sci. Eng. 1, 48 – 62. doi: doi:10.62304/ijse.v1i2.142
  100. Karanasios K., Parker P. (2018). Explaining the diffusion of renewable electricity technologies in Canadian remote indigenous communities through the technological innovation system approach. Sustainability 10: 3871. doi: doi:10.3390/su10113871
  101. Karimi K., Karimi A. (2024). The economic impacts of renewable energy adoption: a comparative analysis of developed and developing nations. Join 2, 32 – 47. doi: doi:10.59613/xfwkz407
  102. Khan S., Page S., Ahmad H., Shaheen H., Ullah Z., Ahmad M.. (2013). Medicinal flora and ethnoecological knowledge in the Naran valley, Western Himalaya, Pakistan. J. Ethnobiol. Ethnomed. 9: 4. doi: doi:10.1186/1746-4269-9-4
  103. Khosla R., Kamat A., Narayanamurti V. (2020). Successful clean energy technology transitions in emerging economies: learning from India, China, and Brazil. Prog. Energy 2: 43002. doi: doi:10.1088/2516-1083/abb52b
  104. Kiesecker J., Baruch-Mordo S., Heiner M., Negandhi D., Oakleaf J., Kennedy C.. (2019). Renewable energy and land use in India: a vision to facilitate sustainable development. Sustainability 12: 281. doi: doi:10.3390/su12010281
  105. Kiesecker J., Evans J., Oakleaf J., Dropuljić K., Vejnović I., Rosslowe C.. (2024). Land use and Europe's renewable energy transition: identifying low-conflict areas for wind and solar development. Front. Environ. Sci. 12: 1355508. doi: doi:10.3389/fenvs.2024.1355508
  106. Knowlton J., Halvorsen K., Flaspohler D., Webster C., Abrams J., Almeida S.. (2021). Birds and bioenergy within the Americas: a cross-national, social-ecological study of ecosystem service tradeoffs. Land 10: 258. doi: doi:10.3390/land10030258
  107. Knuth S., Behrsin I., Levenda A., McCarthy J. (2022). New political ecologies of renewable energy. Environ. Plan. 5, 997 – 1013. doi: doi:10.1177/25148486221108164
  108. Kovalskyi M., Duczmal W., Oleksiuk M., Skomorovskyi A., Berezivskyy Z. (2024). Renewable energy sources in the context of emissions reduction: geographical aspects and challenges for sustainable development. Afr. J. Appl. Res. 10, 374 – 386. doi: doi:10.26437/ajar.v10i1.709
  109. Krēslina V., Lazdina D., Brumelis G. (2020). “Ecosystem services in short rotation coppice forestry on former arable land,” in Proceedings of the 2020 International Conference “Economic Science for Rural Development” (Jelgava: Latvia University of Life Sciences and Technologies, Faculty of Economics and Social Development), 137–145. doi: doi:10.22616/ESRD.2020.54.015
  110. Kumar M. (2020). Social, Economic, and Environmental Impacts of Renewable Energy Resources. London: IntechOpen.
  111. Kumba H., Makepa D., Charamba A., Olanrewaju O. (2024). Towards circular economy: integrating waste management for renewable energy optimization in Zimbabwe. Sustainability 16: 5014. doi: doi:10.3390/su16125014
  112. Kumba H., Olanrewaju O. (2024). “Towards sustainable development: analyzing the viability and integration of renewable energy solutions in South Africa”—a review. Energies 17: 1418. doi: doi:10.3390/en17061418
  113. Kyere-boateng R., Marek M., Huba M. (2022). Assessing changes in ecosystem service provision in the Bia-Tano forest reserve for sustained carbon mitigation and non-timber forest products provision. Geogr. Cas. 74, 199 – 222. doi: doi:10.31577/geogrcas.2022.74.3.10
  114. Lahrech A., Abu-Hijleh B., Aldabbas H. (2024). The impact of global renewable energy demand on economic growth: evidence from GCC countries. Arab Gulf J. Sci. Res. 42, 498 – 511. doi: doi:10.1108/AGJSR-01-2023-0007
  115. Li P., Chaubey I., Muenich R., Wei X. (2016). Evaluation of freshwater provisioning for different ecosystem services in the Upper Mississippi River Basin: current status and drivers. Water 8: 288. doi: doi:10.3390/w8070288
  116. Li R., Wen H., Huang X., Liu Y. (2023). Renewable energy: a curse or blessing—international evidence. Sustainability 15: 11103. doi: doi:10.3390/su151411103
  117. Liu B., Xu L., Long Y., Wei Y., Ao C. (2024). Public willingness to pay for farmland eco-compensation and allocation to farmers: an empirical study from Northeast China. Agriculture 14: 1166. doi: doi:10.3390/agriculture14071166
  118. Liu H. (2023). Research on the symbiotic evolution of subjects in emerging technology innovation ecosystem. Front. Bus. Econ. Manag. 8, 56 – 61. doi: doi:10.54097/fbem.v8i1.5845
  119. Liu H., Zhai R., Patchigolla K., Turner P., Yang Y. (2021). Off-design thermodynamic performances of a combined solar tower and parabolic trough aided coal-fired power plant. Appl. Therm. Eng. 183: 116199. doi: doi:10.1016/j.applthermaleng.2020.116199
  120. Liu J., Du J., Zhang C., Zhang J., Yang H., Donald M.. (2023). Ecosystem service assessment under ecological restoration programs: a systematic review of studies from China. Front. Ecol. Evol. 11: 1152907. doi: doi:10.3389/fevo.2023.1152907
  121. Lotze-Campen H., Lampe M., Kyle P., Fujimori S., Havlík P., Meijl H.. (2013). Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison. Agric. Econ. 45, 103 – 116. doi: doi:10.1111/agec.12092
  122. Lovering J., Swain M., Blomqvist L., Hernandez R. (2022). Land-use intensity of electricity production and tomorrow's energy landscape. PLoS ONE 17: e0270155. doi: doi:10.1371/journal.pone.0270155
  123. Luo J., Yang H., Zhang L., Liu H., Wang Y., Chen H. (2024). A comparative study on the combination of life cycle assessment and ecological footprints: solar photovoltaic power generation vs. coal power generation in Ningxia. Front. Energy Res. 12: 1375820. doi: doi:10.3389/fenrg.2024.1375820
  124. Luu L., Cellura M., Longo S., Guarino F. (2024). A comparison of the life-cycle impacts of the concentrating solar power with the product environmental footprint and ReCiPe methods. Energies 17: 4461. doi: doi:10.3390/en17174461
  125. Luu L., Doan B., Quang N., Nguyen N. (2020). Life Cycle Assessment (LCA) of an integrated solar PV and wind power system in Vietnam. J. Asian Energy Stud. 4, 36 – 47. doi: doi:10.24112/jaes.040005
  126. Lv C., He J., Ma J., Yang Y., Liu F., Huang W. (2025). Capacity optimization strategy for gravity energy storage stations considering the impact of new power systems. PLoS ONE 20: e0320734. doi: doi:10.1371/journal.pone.0320734
  127. Malinowski M. (2021). “Green energy” and the standard of living of the EU residents. Energies 14: 2186. doi: doi:10.3390/en14082186
  128. Mantyka-Pringle C., Martin T., Moffatt D., Linke S., Rhodes J. (2014). Understanding and predicting the combined effects of climate change and land-use change on freshwater macroinvertebrates and fish. J. Appl. Ecol. 51, 572 – 581. doi: doi:10.1111/1365-2664.12236
  129. Margules C. R., Pressey R. L. (2000). Systematic conservation planning. Nature 405, 243 – 253. doi: doi:10.1038/35012251
  130. Marques A., Santos C., Hanssen F., Muñoz A., Onrubia A., Wikelski M.. (2019). Wind turbines cause functional habitat loss for migratory soaring birds. J. Anim. Ecol. 89, 93 – 103. doi: doi:10.1111/1365-2656.12961
  131. Marshall L., Beckers V., Vray S., Rasmont P., Vereecken N., Dendoncker N. (2020). High thematic resolution land use change models refine biodiversity scenarios: a case study with Belgian bumblebees. J. Biogeogr. 48, 345 – 358. doi: doi:10.1111/jbi.14000
  132. Martins I., Pereira H. (2017). Improving extinction projections across scales and habitats using the countryside species-area relationship. Sci. Rep. 7: 12899. doi: doi:10.1038/s41598-017-13059-y
  133. McBain B., Lenzen M., Albrecht G., Wackernagel M. (2018). Building Robust Housing Sector Policy Using the Ecological Footprint. Resources 7: 24. doi: doi:10.3390/resources7020024
  134. McClure C., Rolek B., Braham M., Miller T., Duerr A., McCabe J.. (2021). Eagles enter rotor-swept zones of wind turbines at rates that vary per turbine. Ecol. Evol. 11, 11267 – 11274. doi: doi:10.1002/ece3.7911
  135. McPhearson T., Hamstead Z., Kremer P. (2014). Urban ecosystem services for resilience planning and management in New York city. Ambio 43, 502 – 515. doi: doi:10.1007/s13280-014-0509-8
  136. Mehta K., Ehrenwirth M., Missall S., Degembaeva N., Akmatov K., Zörner W. (2021). Energy profiling of a high-altitude Kyrgyz community: challenges and motivations to preserve floodplain ecosystems based on household survey. Sustainability 13: 13086. doi: doi:10.3390/su132313086
  137. Menezes F., Zheng X. (2018). Regulatory incentives for a low-carbon electricity sector in China. J. Clean. Prod. 195, 919 – 931. doi: doi:10.1016/j.jclepro.2018.05.256
  138. Mikalauskas I., Mikalauskiene A. (2017). Cultural acceptance differences of renewable energy technologies. Int. J. Cult. Hist. 3, 270 – 274. doi: doi:10.18178/ijch.2017.3.4.111
  139. Milousi M., Souliotis M., Arampatzis G., Papaefthimiou S. (2019). Evaluating the environmental performance of solar energy systems through a combined life cycle assessment and cost analysis. Sustainability 11: 2539. doi: doi:10.3390/su11092539
  140. Miranda R., Renó M., Barros R. (2024). End-of-life photovoltaic modules: life cycle assessment and sensibility analysis. Rev. Contemp. 4: e3864. doi: doi:10.56083/RCV4N5-088
  141. Mishra R., Naik B., Raut R. (2024). Empowering sustainability: understanding the users' perceptions on the adoption of renewable energy technologies (RETs) through a systematic literature review. J. Indian Bus. Res. 16, 434 – 451. doi: doi:10.1108/JIBR-05-2023-0164
  142. Moore-O'Leary K., Hernandez R., Johnston D., Abella S., Tanner K., Swanson A.. (2017). Sustainability of utility-scale solar energy – critical ecological concepts. Front. Ecol. Environ. 15, 385 – 394. doi: doi:10.1002/fee.1517
  143. Mujtaba G., Shahzad S. (2020). Air pollutants, economic growth and public health: implications for sustainable development in OECD countries. Environ. Sci. Pollut. Res. 28, 12686 – 12698. doi: doi:10.1007/s11356-020-11212-1
  144. Natraj Rao, B. N., Reddy K. S. (2022). Optical and structural optimization of a large aperture solar parabolic trough collector. Sustain. Energy Technol. Assess. 53: 102418. doi: doi:10.1016/j.seta.2022.102418
  145. Nazarov A., Sulimin V., Shvedov V. (2024). Renewable energy sources: global implementation experience. E3s Web Conf. 474: 1030. doi: doi:10.1051/e3sconf/202447401030
  146. Newbold T. (2018). Future effects of climate and land-use change on terrestrial vertebrate community diversity under different scenarios. Proc. Royal Soc. B Biol. Sci. 285: 20180792. doi: doi:10.1098/rspb.2018.0792
  147. Newbold T., Oppenheimer P., Etard A., Williams J. (2020). Tropical and Mediterranean biodiversity is disproportionately sensitive to land-use and climate change. Nat. Ecol. Evol. 4, 1630 – 1638. doi: doi:10.1038/s41559-020-01303-0
  148. Nhiakao K., Yabar H., Mizunoya T. (2022). Cost-benefit analysis of the Nam Che 1 hydropower plant, Thathom district, Laos: an ex-post analysis. Sustainability 14: 3178. doi: doi:10.3390/su14063178
  149. Nkordeh N., Ejiro M., Okeoghene M., Awomoyi M., Bobmanuel I. (2023). Renewable and green energy, Africa's pathway to sustainable development; harnessing the continent's natural energy sources. Smart Grid Renew. Energy 14 (7), 131 – 151. doi: doi:10.4236/sgre.2023.147008
  150. Nøland J., Auxepaules J., Rousset A., Perney B., Falletti G. (2022). Spatial energy density of large-scale electricity generation from power sources worldwide. Sci. Rep. 12: 1280. doi: doi:10.1038/s41598-022-25341-9
  151. Nunez S., Alkemade R. (2021). Exploring interaction effects from mechanisms between climate and land-use changes and the projected consequences on biodiversity. Biodivers. Conserv. 30, 3685 – 3696. doi: doi:10.1007/s10531-021-02271-y
  152. Nur M., Husen A., Purwandari D. (2023). The potential of waste-based renewable energy with a gas landfill system in Palopo. Eduvest 3, 1827 – 1840. doi: doi:10.59188/eduvest.v3i10.889
  153. Odebala V. (2023). Treading a path for effective renewable energy regulation in Nigeria: lessons from Brazil. ABUAD Law J. 8, 93 – 107. doi: doi:10.53982/alj.2020.0801.06-j
  154. Oduro P., Simpa P., Ekechukwu D. (2024). Renewable energy expansion: legal strategies for overcoming regulatory barriers and promoting innovation. World J. Adv. Eng. Technol. Sci. 12, 168 – 186. doi: doi:10.30574/wjaets.2024.12.1.0208
  155. Oguanobi V., Joel O. (2024). Geoscientific research's influence on renewable energy policies and ecological balancing. Open Access Res. J. Multidiscip. Stud. 7, 73 – 85. doi: doi:10.53022/oarjms.2024.7.2.0027
  156. Ohalete N., Aderibigbe A., Ani E., Ohenhen P., Daraojimba D., Odulaja B. (2023). AI-driven solutions in renewable energy: a review of data science applications in solar and wind energy optimization. World J. Adv. Res. Rev. 20, 401 – 417. doi: doi:10.30574/wjarr.2023.20.3.2433
  157. Ossowska L. (2019). Consequences of the energy policy in member states of the European Union - the renewable energy sources targets. Energy Policy J. 22, 21 – 32. doi: doi:10.33223/epj/109339
  158. Owusu P., Sarkodie S. (2016). A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng. 3: 1167990. doi: doi:10.1080/23311916.2016.1167990
  159. Pan P., Zhang M., Xu G., Chen H., Song X., Liu T. (2020). Thermodynamic and economic analyses of a new waste-to-energy system incorporated with a biomass-fired power plant. Energies 13: 4345. doi: doi:10.3390/en13174345
  160. Pangestu R. (2023). Utilization of sustainable technology to mitigate climate change and its main challenges. EPRA Int. J. Econ. Growth Environ. Issues 11, 14 – 19. doi: doi:10.36713/epra14917
  161. Papathanasopoulou E., Queirós A., Beaumont N., Hooper T., Nunes J. (2016). What evidence exists on the local impacts of energy systems on marine ecosystem services: a systematic map. Environ. Evid. 5: 25. doi: doi:10.1186/s13750-016-0075-6
  162. Pascali P., Santangelo S., Perrone F., Bagaini A. (2020). Territorial energy decentralisation and ecosystem services in Italy: limits and potential. Sustainability 12: 1424. doi: doi:10.3390/su12041424
  163. Pătru-Stupariu I., Hossu C., Grădinaru S., Nită A., Stupariu M., Huzui-Stoiculescu A.. (2020). A review of changes in mountain land use and ecosystem services: from theory to practice. Land 9: 336. doi: doi:10.3390/land9090336
  164. Peek R., O'Rourke S., Miller M. (2021). Flow modification associated with reduced genetic health of a river-breeding frog, Rana boylii. Ecosphere 12: e03496. doi: doi:10.1002/ecs2.3496
  165. Pender K., Romoli F., Bacharoudis K., Greaves P., Fuller J. (2024). Evaluating priority strategies for decarbonising offshore wind turbine blades through lifecycle assessment. Clean Technol. Environ. Policy 27, 2919 – 2936. doi: doi:10.1007/s10098-024-03033-4
  166. Perrotti D., Stremke S. (2018). Can urban metabolism models advance green infrastructure planning? Insights from ecosystem services research. Environ. Plan. B Urban Anal. City Sci. 47, 678 – 694. doi: doi:10.1177/2399808318797131
  167. Perry J., Lojka B., Ruiz L., Damme P., Houška J., Fernández E. (2016). How natural forest conversion affects insect biodiversity in the Peruvian Amazon: can agroforestry help? Forests 7: 82. doi: doi:10.3390/f7040082
  168. Pfeiffer B., Mulder P. (2013). Explaining the diffusion of renewable energy technology in developing countries. Energy Econ. 40, 285 – 296. doi: doi:10.1016/j.eneco.2013.07.005
  169. Phadke R. (2011). Resisting and reconciling big wind: middle landscape politics in the new American west. Antipode 43, 754 – 776. doi: doi:10.1111/j.1467-8330.2011.00881.x
  170. Picchi P., Verzandvoort S., Geneletti D., Hendriks K., Stremke S. (2020). Deploying ecosystem services to develop sustainable energy landscapes: a case study from the Netherlands. Smart Sustain. Built Environ. 11, 422 – 437. doi: doi:10.1108/SASBE-02-2020-0010
  171. Polzin F., von den Hoff M., Jung M. (2015). Drivers and barriers for renewable energy investments in emerging countries - the case of wind energy in China, India and Brazil. SSRN Electron. J. doi: doi:10.2139/ssrn.2690477
  172. Prontera A., Rubino A. (2024). Greening energy governance through agencification in the Global South: drivers and implications. Regul. Governance 18, 460 – 478. doi: doi:10.1111/rego.12521
  173. Qin J., Dai J., Li S., Zhang J., Peng J. (2024). Construction of ecological network in Qujing city based on MSPA and MCR models. Sci. Rep. 14: 9800. doi: doi:10.1038/s41598-024-60048-z
  174. Qin K., Li J., Yang X. (2015). Trade-off and synergy among ecosystem services in the Guanzhong-Tianshui economic region of China. Int. J. Environ. Res. Public Health 12, 14094 – 14113. doi: doi:10.3390/ijerph121114094
  175. Rakowska J., Ozimek I. (2021). Renewable energy attitudes and behaviour of local governments in Poland. Energies 14: 2765. doi: doi:10.3390/en14102765
  176. Ramalho E., López-Maciel M., Madaleno M., Villar J., Dias M., Botelho A.. (2023). Economic, environmental, and social impacts of renewable energies: what have we learned by now? E3s Web Conf. 433: 3002. doi: doi:10.1051/e3sconf/202343303002
  177. Ramos A., Magalhães F., Neves D., Gonçalves N., Baptista A., Mata T.. (2023). Wind energy sustainability in Europe—a review of knowledge gaps, opportunities and circular strategies. Green Finance 5, 562 – 602. doi: doi:10.3934/GF.2023022
  178. Ranganathan R., Subbaram S., Indira G. N. A., Tharmar S. (2023). A comparative study of renewable energy sources for power generation in rural areas. E3s Web Conf. 387: 5011. doi: doi:10.1051/e3sconf/202338705011
  179. Raugei M., Fullana-i-Palmer P., Fthenakis V. (2012). The energy return on energy investment (EROI) of photovoltaics: methodology and comparisons with fossil fuel life cycles. Energy Policy 45, 576 – 582. doi: doi:10.1016/j.enpol.2012.03.008
  180. Ravi S., Lobell D., Field C. (2014). Tradeoffs and synergies between biofuel production and large solar infrastructure in deserts. Environ. Sci. Technol. 48, 3021 – 3030. doi: doi:10.1021/es404950n
  181. Rehbein J., Watson J., Lane J., Sonter L., Venter O., Atkinson S.. (2020). Renewable energy development threatens many globally important biodiversity areas. Glob. Change Biol. 26, 3040 – 3051. doi: doi:10.1111/gcb.15067
  182. Reis J., Bose N., Amorim A., Dantas V., Bezerra L., Oliveira L.. (2023). Wind and solar energy generation potential features in the extreme northern Amazon using reanalysis data. Energies 16: 7671. doi: doi:10.3390/en16227671
  183. Reynolds S. (2025). Evaluating the impact of market dynamics on supply chain sustainability in the renewable energy industry. SSRN Electron. J. doi: doi:10.2139/ssrn.5144171
  184. Rodriguez J., Beard T., Bennett E., Cumming G., Cork S., Agard J.. (2006). Trade-offs across space, time, and ecosystem services. Ecol. Soc. 11: 28. doi: doi:10.5751/ES-01667-110128
  185. Rubino F., Poza P., Pasquino G., Carlone P. (2021). Thermal spray processes in concentrating solar power technology. Metals 11: 1377. doi: doi:10.3390/met11091377
  186. Sadabadi A., Etergeleh F., Fartash K., Shahi N. (2024). An analysis of social acceptance of energy in Iran: case study of fossil, nuclear, solar and wind energy. Int. J. Energy Sect. Manag. 18, 2045 – 2058. doi: doi:10.1108/IJESM-03-2021-0027
  187. Šalak B., Hunziker M., Grêt-Regamey A., Spielhofer R., Hayek U., Kienast F. (2024). Shifting from techno-economic to socio-ecological priorities: incorporating landscape preferences and ecosystem services into the siting of renewable energy infrastructure. PLoS ONE 19: e0298430. doi: doi:10.1371/journal.pone.0298430
  188. Sansilvestri R., Cordier M., Lescuyer T. (2021). Winners and losers in energy transition: case study of wood biomass power-plants implementation in France. Forests 12: 1139. doi: doi:10.3390/f12091139
  189. Sarmiento L., Burandt T., Löffler K., Oei P. (2019). Analyzing scenarios for the integration of renewable energy sources in the Mexican energy system—an application of the global energy system model (genesys-mod). Energies 12: 3270. doi: doi:10.3390/en12173270
  190. Sawyer H., Korfanta N., Kauffman M., Robb B., Telander A., Mattson T. (2022). Trade-offs between utility-scale solar development and ungulates on western rangelands. Front. Ecol. Environ. 20, 345 – 351. doi: doi:10.1002/fee.2498
  191. Schmutz S., Bakken T., Friedrich T., Greimel F., Harby A., Jungwirth M.. (2014). Response of fish communities to hydrological and morphological alterations in hydropeaking rivers of Austria. River Res. Appl. 31, 919 – 930. doi: doi:10.1002/rra.2795
  192. Schmutz S., Sendzimir J. (eds.). (2018). “Challenges in riverine ecosystem management,” in Riverine Ecosystem Management: Science for Governing Towards a Sustainable Future (Springer), 1 – 16. doi: doi:10.1007/978-3-319-73250-3
  193. Schneider J., Kubíčková H. (2020). The state of the art of use of the concept of ecosystem services within spatial plans in the Czech Republic. Sustainability 12: 9000. doi: doi:10.3390/su12219000
  194. Schuster E., Bulling L., Köppel J. (2015). Consolidating the state of knowledge: a synoptical review of wind energy's wildlife effects. Environ. Manag. 56, 300 – 331. doi: doi:10.1007/s00267-015-0501-5
  195. Segreto M., Principe L., Desormeaux A., Torre M., Tomassetti L., Tratzi P.. (2020). Trends in social acceptance of renewable energy across Europe—a literature review. Int. J. Environ. Res. Public Health 17: 9161. doi: doi:10.3390/ijerph17249161
  196. Séin-Echaluce M., Fidalgo-Blanco Á. (2021). TEEM 21. track: educational innovation. in Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21) (New York, NY: Association for Computing Machinery), 210 – 211. doi: doi:10.1145/3486011.3486448
  197. Semeraro T., Aretano R., Barca A., Pomes A., Giudice C., Gatto E.. (2020). A conceptual framework to design green infrastructure: ecosystem services as an opportunity for creating shared value in ground photovoltaic systems. Land 9: 238. doi: doi:10.3390/land9080238
  198. Senyapar H. (2023). A bibliometric analysis on renewable energy's public health benefits. J. Energy Syst. 7, 132 – 157. doi: doi:10.30521/jes.1252122
  199. Sheppard J., McGann A., Lanzone M., Swaisgood R. (2015). An autonomous GPS geofence alert system to curtail avian fatalities at wind farms. Anim. Biotelemetry 3: 43. doi: doi:10.1186/s40317-015-0087-y
  200. Shi C., Zhan J., Yuan Y., Wu F., Li Z. (2015). Land use zoning for conserving ecosystem services under the impact of climate change: a case study in the middle reaches of the Heihe river basin. Adv. Meteorol. 2015, 1 – 13. doi: doi:10.1155/2015/496942
  201. Shields M. (2014). “An introduction to marine renewable energy,” in Marine Renewable Energy Technology and Environmental Interactions, Humanity and the Sea, eds. M. Shields and A. Payne (Dordrecht: Springer), 1 – 3.
  202. Shimada S., Takeuchi W. (2023). Revealing a shift in solar photovoltaic planning sites in Vietnam from 2019 to 2022. Remote Sens. 15: 2756. doi: doi:10.3390/rs15112756
  203. Silva P., Cerqueira P., Ogbe W. (2018). Determinants of renewable energy growth in sub-Saharan Africa: evidence from panel ARDL. Energy 156, 45 – 54. doi: doi:10.1016/j.energy.2018.05.068
  204. Singh N., Nyuur R., Richmond B. (2019). Renewable energy development as a driver of economic growth: evidence from multivariate panel data analysis. Sustainability 11: 2418. doi: doi:10.3390/su11082418
  205. Sobczuk S., Jaroń A., Mazur M., Borucka A. (2025). Renewable energy and CO 2 emissions: analysis of the life cycle and impact on the ecosystem in the context of energy mix changes. Energies 18: 3332. doi: doi:10.3390/en18133332
  206. Song H., Gao J. (2024). Assessing the impact of marine renewable energy in Portugal: an analysis based on ACO-TCN-attention. Front. Energy Res. 12: 1362371. doi: doi:10.3389/fenrg.2024.1362371
  207. Srivastava S. (2022). Generation of hybrid energy system (Solar-Wind) supported with battery energy storage. Int. J. Res. Appl. Sci. Eng. Technol. 10, 1439 – 1446. doi: doi:10.22214/ijraset.2022.46864
  208. Staniūnas M., Burinskiene M., Malienė V. (2012). Ecology in urban planning: mitigating the environmental damage of municipal solid waste. Sustainability 4, 1966 – 1983. doi: doi:10.3390/su4091966
  209. Stokes L., Warshaw C. (2017). Renewable energy policy design and framing influence public support in the United States. Nat. Energy 2: 17107. doi: doi:10.1038/nenergy.2017.107
  210. Stosch K., Quilliam R., Bunnefeld N., Oliver D. (2019). Quantifying stakeholder understanding of an ecosystem service trade-off. Sci. Total Environ. 651, 2524 – 2534. doi: doi:10.1016/j.scitotenv.2018.10.090
  211. Strachan P., Cowell R., Ellis G., Sherry-Brennan F., Toke D. (2015). Promoting community renewable energy in a corporate energy world. Sustain. Dev. 23, 96 – 109. doi: doi:10.1002/sd.1576
  212. Szabó L., Moner-Girona M., Jäger-Waldau A., Kougias I., Mezosi A., Fahl F.. (2024). Impacts of large-scale deployment of vertical bifacial photovoltaics on European electricity market dynamics. Nat. Commun. 15: 6681. doi: doi:10.1038/s41467-024-50762-7
  213. Taelman S., Peña L., Préat N., Bachmann T., Biest K., Maes J.. (2023). Integrating ecosystem services and life cycle assessment: a framework accounting for local and global (socio-)environmental impacts. Int. J. Life Cycle Assess. 29, 99 – 115. doi: doi:10.1007/s11367-023-02216-3
  214. Takase M., Kipkoech R., Kibet J., Mugah F., Ahiabor S., Asare R.. (2022). Renewable energy policies in Ghana. J. Mod. Green Energy 1: 9. doi: doi:10.53964/jmge.2022009
  215. Tallis H., Hawthorne P., Polasky S., Reid J., Beck M., Brauman K.. (2018). An attainable global vision for conservation and human well-being. Front. Ecol. Environ. 16, 563 – 570. doi: doi:10.1002/fee.1965
  216. Tallis H., Kennedy C., Ruckelshaus M., Goldstein J., Kiesecker J. (2015). Mitigation for one andamp; all: an integrated framework for mitigation of development impacts on biodiversity and ecosystem services. Environ. Impact Assess. Rev. 55, 21 – 34. doi: doi:10.1016/j.eiar.2015.06.005
  217. Tayebi S., Sambucci M., Valente M. (2024). Waste management of wind turbine blades: a comprehensive review on available recycling technologies with a focus on overcoming potential environmental hazards caused by microplastic production. Sustainability 16: 4517. doi: doi:10.3390/su16114517
  218. Teague R., Kreuter U. (2020). Managing grazing to restore soil health, ecosystem function, and ecosystem services. Front. Sustain. Food Syst. 4: 534187. doi: doi:10.3389/fsufs.2020.534187
  219. Temper L., Ávila S., Bene D., Gobby J., Kosoy N., Billon P.. (2020). Movements shaping climate futures: a systematic mapping of protests against fossil fuel and low-carbon energy projects. Environ. Res. Lett. 15: 123004. doi: doi:10.1088/1748-9326/abc197
  220. Thaxter C., Buchanan G., Carr J., Butchart S., Newbold T., Green R.. (2017). Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment. Proc. Royal Soc. B Biol. Sci. 284: 20170829. doi: doi:10.1098/rspb.2017.0829
  221. Tol R. S. J. (2012). A cost–benefit analysis of the EU 20/20/2020 package. Energy Policy 49, 288 – 295. doi: doi:10.1016/j.enpol.2012.06.018
  222. Toub M., Reddy C., Robinett R., Shahbakhti M. (2021). Integration and optimal control of Microcsp with building HVAC systems: review and future directions. Energies 14: 730. doi: doi:10.3390/en14030730
  223. Trifonova N., Scott B., Griffin R., Pennock S., Jeffrey H. (2022). An ecosystem-based natural capital evaluation framework that combines environmental and socio-economic implications of offshore renewable energy developments. Prog. Energy 4: 32005. doi: doi:10.1088/2516-1083/ac702a
  224. Turconi R., Boldrin A., Astrup T. (2013). Life cycle assessment (LCA) of electricity generation technologies: overview, comparability and limitations. Renew. Sustain. Energy Rev. 28, 555 – 565. doi: doi:10.1016/j.rser.2013.08.013
  225. Turhan C., Durak M., Saleh Y., Kalayci A. (2025). Recycling decommissioned wind turbine blades for post-disaster housing applications. Recycling 10: 42. doi: doi:10.3390/recycling10020042
  226. Uzondu N., Lele D. (2024). Comprehensive analysis of integrating smart grids with renewable energy sources: technological advancements, economic impacts, and policy frameworks. Eng. Sci. Technol. J. 5, 2334 – 2363. doi: doi:10.51594/estj.v5i7.1347
  227. Uzondu N. C., Joseph O. B. (2024). Comprehensive analysis of the economic, environmental and social impacts of large-scale renewable energy integration. Int. J. Appl. Res. Soc. Sci. 6, 1706 – 1724. doi: doi:10.51594/ijarss.v6i8.1422
  228. Vadiyala V. (2020). Sunlight to sustainability: a comprehensive analysis of solar energy's environmental impact and potential. Asia Pac. J. Energy Environ. 7, 103 – 110. doi: doi:10.18034/apjee.v7i2.711
  229. Ványolós E., Henning I., Lihăt I., Szabó B. (2023). The ecological perspective in nowadays' urban landscape planning in Transylvania. Acta Biol. Marisiensis 6, 50 – 61. doi: doi:10.2478/abmj-2023-0011
  230. Vélez-Henao J., García-Mazo C. (2022). Environmental rebound effect of wind and solar technologies in the Colombian household sector. J. Indus. Ecol. 26, 1784 – 1795. doi: doi:10.1111/jiec.13326
  231. Vercelloni J., Clifford S., Caley M., Pearse A., Brown R., James A.. (2018). Using virtual reality to estimate aesthetic values of coral reefs. Royal Soc. Open Sci. 5: 172226. doi: doi:10.1098/rsos.172226
  232. Vovchenko N., Galazova S., Sopchenko A., Dzhu O. (2019). Fintech ecosystem as an instrument of sustainable development provision. Int. J. Econ. Bus. Adm. 7, 147 – 155. doi: doi:10.35808/ijeba/379
  233. Wang J., Lin Y., Zhai T., He T., Yuan Q., Jin Z.. (2018). The role of human activity in decreasing ecologically sound land use in China. Land Degrad. Dev. 29, 446 – 460. doi: doi:10.1002/ldr.2874
  234. Wang Q., Yang X., Li R., Yang T. (2023). Revisiting the impact of renewable energy on carbon emission in 130 countries—the mediating effect of resource rental rents and human capital. Energy Environ. 35, 4083 – 4113. doi: doi:10.1177/0958305X231177726
  235. Wang X. (2025). Toward low-carbon power systems: reviewing life cycle carbon footprints of diverse generation pathways. Energies 18: 6413. doi: doi:10.3390/en18246413
  236. Waris M., Azlan Z., Tamyez P., Ullah M., Khan A. (2019). Analyzing the constructs of stakeholder engagement towards renewable energy projects success in Malaysia: a PLS approach. KnE Soc. Sci. 3, 818 – 843. doi: doi:10.18502/kss.v3i22.5090
  237. Wehbi H. (2024). Powering the future: an integrated framework for clean renewable energy transition. Sustainability 16: 5594. doi: doi:10.3390/su16135594
  238. Wei W., He L., Li X., Cui Q., Chen H. (2022). The effectiveness and trade-offs of renewable energy policies in achieving the dual decarbonization goals in China: a dynamic computable general equilibrium analysis. Int. J. Environ. Res. Public Health 19: 6386. doi: doi:10.3390/ijerph19116386
  239. Williams J., Jones R., Haley B., Kwok G., Hargreaves J., Farbes J.. (2021). Carbon-neutral pathways for the United States. Agu Adv. 2: e2020A V000284. doi: doi:10.1029/2020AV000284
  240. Wilting H., Schipper A., Bakkenes M., Meijer J., Huijbregts M. (2017). Quantifying biodiversity losses due to human consumption: a global-scale footprint analysis. Environ. Sci. Technol. 51, 3298 – 3306. doi: doi:10.1021/acs.est.6b05296
  241. Winberg J., Smith H., Ekroos J. (2023). Bioenergy crops, biodiversity and ecosystem services in temperate agricultural landscapes—a review of synergies and trade-offs. GCB Bioenergy 15, 1204 – 1220. doi: doi:10.1111/gcbb.13092
  242. Witkowska A., Wadołowska B., Krawczyk D. A. (2021). Development of renewable energy sources in Poland in light of European Energy Policy. Environ. Sci. Proc. 9: 11. doi: doi:10.3390/environsciproc2021009011
  243. Wu G., Deshmukh R., Trainor A., Uppal A., Chowdhury K., Báez C.. (2024). Avoiding ecosystem and social impacts of hydropower, wind, and solar in Southern Africa's low-carbon electricity system. Nat. Commun. 15: 1083. doi: doi:10.1038/s41467-024-45313-z
  244. Xia S., Poon J., Wang C. (2024). Mitigation of hydropower—ecosystem conflict in China. Trans. Energy Sustain. 1, 60 – 64. doi: doi:10.1177/29768632241286296
  245. Xiao H., Yuan Q., Ren Z. (2011). “The research of ecological pattern construction based on ecological infrastructure valuation,” in International Conference on Multimedia Technology (Hangzhou: IEEE), 1831 – 1834.
  246. Yan J., Xiao Y., Liu P., Zhāng Q. (2020). High-tech service platform ecosystem evolution: a simulation analysis using Lotka-Volterra Model. Teh. Vjesn. 27, 1509 – 1518. doi: doi:10.17559/TV-20200531152811
  247. Yan J., Wang Y., Jiang Y., Li D. (2024). “Stochastic optimization of hybrid energy storage considering wind power and photovoltaic correlation to smooth fluctuation,” in Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023) (Bellingham, WA: SPIE). doi: doi:10.1117/12.3024372
  248. Yang N., Chen Y., Yan H., Li X., Zhang L., Niu J.. (2025). Land-use requirements and occupancy patterns of rapidly expanding wind power deployment in China. Environ. Res. Lett. 20: 74011. doi: doi:10.1088/1748-9326/add7ee
  249. Yenneti K., Day R., Golubchikov O. (2016). Spatial justice and the land politics of renewables: dispossessing vulnerable communities through solar energy mega-projects. Geoforum 76, 90 – 99. doi: doi:10.1016/j.geoforum.2016.09.004
  250. Yiğitcanlar T., Teriman S. (2014). Rethinking sustainable urban development: towards an integrated planning and development process. Int. J. Environ. Sci. Technol. 12, 341 – 352. doi: doi:10.1007/s13762-013-0491-x
  251. Zhang D., Huang G., Xu Y., Gong Q. (2015). Waste-to-energy in China: key challenges and opportunities. Energies 8, 14182 – 14196. doi: doi:10.3390/en81212422
  252. Zhang G., Xie P., Huang S., Chen Z., Du M., Tang N.. (2021). Modeling and optimization of integrated energy system for renewable power penetration considering carbon and pollutant reduction systems. Front. Energy Res. 9: 767277. doi: doi:10.3389/fenrg.2021.767277
  253. Zhang S. (2017). Technical analysis and enlightenment of renewable energy. Low Carbon Econ. 8, 106 – 117. doi: doi:10.4236/lce.2017.84009
  254. Zhao C., Xiao P., Qian P., Xu J., Yang L., Wu Y. (2022). Spatiotemporal differentiation and balance pattern of ecosystem service supply and demand in the Yangtze River economic belt. Int. J. Environ. Res. Public Health 19: 7223. doi: doi:10.3390/ijerph19127223
  255. Zhao J., Li C. (2020). Investigating spatiotemporal dynamics and trade-off/synergy of multiple ecosystem services in response to land cover change: a case study of Nanjing city, China. Environ. Monit. Assess. 192: 701. doi: doi:10.1007/s10661-020-08663-x
  256. Ziv G., Baran E., Nam S., Rodriguez-Iturbe I., Levin S. (2012). Trading-off fish biodiversity, food security, and hydropower in the Mekong river basin. Proc. Natl. Acad. Sci. 109, 5609 – 5614. doi: doi:10.1073/pnas.1201423109
  257. Zyl B., Cilliers E., Lategan L., Cilliers S. (2021). Closing the gap between urban planning and urban ecology: a south African perspective. Urban Plan. 6, 122 – 134. doi: doi:10.17645/up.v6i4.4456

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Ayompe, L. M. & Egoh, B. N. (2026). Renewable energy deployment: assessing benefits and challenges for ecosystem services. Frontiers in Sustainable Energy Policy, Volume 5. https://doi.org/
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*Correspondence: Lacour M. Ayompe

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