Tinsley Elizabeth, Froidevaux Jérémy S P, Jones Gareth
University of Bristol, School of Biological Sciences, Life Sciences Building, Bristol, UK.
University of Bristol, School of Biological Sciences, Life Sciences Building, Bristol, UK; University of Stirling, School of Biological & Environmental Sciences, Stirling, UK; Centre D'Ecologie et des Sciences de la Conservation (CESCO, UMR 7204), CNRS, MNHN, Sorbonne-Université, Paris, France; Université de Franche-Comté, CNRS, Chrono-environnement, F-25000, Besançon, France.
J Environ Manage. 2024 Dec;372:123372. doi: 10.1016/j.jenvman.2024.123372. Epub 2024 Nov 24.
A global energy transition to using sustainable renewable sources is being driven by global agreements. Simultaneously there is a call for increased biodiversity conservation. This creates a green-green dilemma, where the expansion of renewables could lead to the demise of biodiversity if not carefully assessed, managed and monitored. Recognition of the dilemma is central to the development of Sustainable Development Goals. It is therefore important to understand whether renewable energy sources such as solar farms are being sited in areas where they have minimal impact on biodiversity. If solar farms were sited with minimal impacts on biodiversity, we hypothesised that they would be less likely to be sited close to ecologically sensitive areas than near random points. We used Geographic Information System methods to explore the density of solar photovoltaic (PV) farms in England and assessed their siting relative to sensitive ecological features, including priority habitat types, designated sites, and land conservation initiatives. We compared the area of 25 sensitive ecological features around solar farms and random points across three spatial scales (100 m, 1000 m, and 6000 m radius scales). Solar farms were distributed throughout England, with the highest concentration in South West England. Solar sites were primarily surrounded by habitats with anthropogenic influences, such as agricultural and urban settings. Priority habitats, such as woodland, grassland, wetland and heathland, were more extensive around random points across spatial scales (except for woodland at the largest scale). Most designated sites were significantly more extensive around random points. We conclude that, under current planning regulations, solar sites in England are being placed appropriately with regard to sensitive ecological habitats, and are often sited in areas already impacted by farming and development. Adaptive planning should be implemented to ensure that the evolving research around biodiversity and solar farms is incorporated into decision making, and monitoring is completed across the lifespan of solar farms to assess impacts and effective mitigation.
全球协议推动了向使用可持续可再生能源的全球能源转型。与此同时,人们呼吁加强生物多样性保护。这就产生了一个绿色与绿色的困境,如果对可再生能源的扩张不进行仔细评估、管理和监测,可能会导致生物多样性的消亡。认识到这一困境是可持续发展目标制定的核心。因此,了解太阳能农场等可再生能源设施是否选址在对生物多样性影响最小的地区非常重要。如果太阳能农场的选址对生物多样性影响最小,我们推测它们选址在生态敏感区域附近的可能性会低于选址在随机点附近的可能性。我们使用地理信息系统方法来探究英格兰太阳能光伏(PV)农场的密度,并评估其相对于敏感生态特征的选址情况,这些特征包括优先栖息地类型、指定地点和土地保护倡议。我们比较了太阳能农场周围和三个空间尺度(半径100米、1000米和6000米尺度)上随机点周围25种敏感生态特征的面积。太阳能农场分布在英格兰各地,西南部的集中度最高。太阳能设施主要被受人为影响的栖息地所环绕,如农业和城市环境。在各个空间尺度上,随机点周围的优先栖息地,如林地、草地、湿地和石南荒地,面积更为广阔(最大尺度下的林地除外)。大多数指定地点在随机点周围的面积显著更大。我们得出结论,根据当前的规划规定,英格兰的太阳能设施在选址时对敏感生态栖息地考虑得当,并且通常选址在已经受到农业和开发影响的地区。应实施适应性规划,以确保将围绕生物多样性和太阳能农场的不断发展的研究纳入决策过程,并在太阳能农场的整个生命周期内进行监测,以评估影响和有效的缓解措施。