Collaborative Research: GCR:Can improved ecological forecasting accelerate sustainability transformation in urban lighting?

合作研究：GCR：改进的生态预测能否加速城市照明的可持续转型？

• 批准号: 2123404
• 负责人: Jeffrey Kelly
• 金额: $ 199.25万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2123404&HistoricalAwards=false
• 关键词: Collaborative; Research; GCR; improved; ecological

Achieving national sustainability goals will require rapid adoption of more sustainable practices in many areas of society but transitions to sustainable practices are often slow. This project tests whether these transitions can be accelerated by (1) creating innovative ecological forecasts that predict where and when more sustainable practices would have the greatest benefits and (2) engaging impacted communities in the process of co-implementing forecasts and advocating for sustainability transitions. The study system is the proliferation of artificial lights at night (ALAN) and its impacts on migrant birds. ALAN is increasing rapidly worldwide, and its benefits are countered by pervasive negative consequences for biodiversity, ecosystems, and human health. A major ecological consequence of ALAN is disruption of bird migration – millions of birds die annually in collisions with well-lit buildings – which contributes to widespread bird population declines. The ALAN-bird migration system is ideal for this study because, like many wicked environmental problems, environmental concerns emerge as a product of complex social and cultural processes that have proven difficult to resolve using traditional approaches. This project employs a transdisciplinary convergence approach to integrating advances in ecological forecasting with those in the social and political science of community engaged scholarship. Experiments testing sustainability impacts of innovations in ecological forecasting will be co-designed and implemented with a coalition of convergence research partners. The project will generate an understanding of pathways by which sustainable practices are adopted for ALAN, this new knowledge can be used to help address other societal-environmental conflicts.The project focuses on testing a key prediction of sustainability transformations science theory – that innovations originate within advocacy coalitions then accumulate at the subsystem level to drive sustainability transformations (e.g., new policies). During phase one the investigation gathers detailed national survey information on the ALAN system and creates transformational technological improvements in existing bird migration forecasts specific to impacts of ALAN. This new social and ecological knowledge will then be used to engage with advocacy coalitions in specific urban testbed sites to co-implement sustainability transformation experiments during phase two. These experiments will use targeted messaging campaigns to foster ALAN mitigation. Experiments will be focused on sustainability-oriented coalitions because these advocates are predicted to have high leverage to affect radical transformation toward sustainability across the ALAN subsystem. Impacts of the experiments on ALAN, impacts of ALAN on migrant birds, and human behaviors and attitudes toward ALAN will be quantified. Through this two-phase approach this project will produce a new understanding of how innovations derived from a convergence research approach can be employed in a sustainability science and policy framework to accelerate transformations. These outcomes will contribute understanding of how communities and researchers can co-engage with wicked environmental problems more broadly to drive transformations toward sustainability. Results will create new, and potentially transformative, understanding of how ecological forecasting contributes to sustainability transformations. This project is jointly funded by the Growing Convergence Research Program and the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

实现国家可持续性目标需要在社会的许多领域迅速采用更可持续的做法，但向可持续做法的过渡往往很缓慢。该项目测试这些转变是否可以通过以下方式加速：（1）创建创新的生态预测，预测何时何地更可持续的做法将产生最大的效益;（2）让受影响的社区参与共同实施预测和倡导可持续性转变的过程。研究系统是夜间人工照明（ALAN）的扩散及其对候鸟的影响。ALAN在全球范围内迅速增长，其好处被生物多样性，生态系统和人类健康的普遍负面影响所抵消。ALAN的一个主要生态后果是鸟类迁徙的中断-每年有数百万只鸟类死于与照明良好的建筑物的碰撞-这导致了广泛的鸟类数量下降。阿兰鸟类迁徙系统是这项研究的理想选择，因为像许多邪恶的环境问题一样，环境问题是复杂的社会和文化过程的产物，已经证明难以用传统方法解决。该项目采用跨学科的融合方法，将生态预测的进展与社区参与的社会和政治科学的进展相结合。测试生态预测创新的可持续性影响的实验将与融合研究合作伙伴联盟共同设计和实施。该项目将产生对ALAN采用可持续实践的途径的理解，这些新知识可以用来帮助解决其他社会-环境冲突。该项目侧重于测试可持续发展转型科学理论的关键预测-创新源于倡导联盟，然后在子系统层面积累，以推动可持续发展转型（例如，新政策）。在第一阶段，调查收集了详细的全国调查信息的ALAN系统，并创造了转型的技术改进，在现有的鸟类迁徙预测具体到ALAN的影响。这些新的社会和生态知识将用于与特定城市试验基地的宣传联盟合作，在第二阶段共同实施可持续性转型实验。这些实验将使用有针对性的消息传递活动来促进ALAN缓解。实验将集中在可持续发展为导向的联盟，因为这些倡导者预计有很高的杠杆作用，影响整个ALAN子系统的可持续性的根本转变。实验对ALAN的影响，ALAN对候鸟的影响，以及人类对ALAN的行为和态度将被量化。通过这两个阶段的方法，该项目将产生一个新的理解，如何从融合的研究方法所产生的创新可以在可持续发展的科学和政策框架，以加快转型。这些成果将有助于了解社区和研究人员如何更广泛地共同参与恶劣的环境问题，以推动可持续发展的转变。结果将创造新的，潜在的变革，了解生态预测如何有助于可持续发展的转变。 该项目由增长融合研究计划和刺激竞争研究的既定计划（EPSCoR）共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Assessing the combined threats of artificial light at night and air pollution for the world’s nocturnally migrating birds

• DOI: 10.1111/geb.13466
• 发表时间: 2022-02
• 期刊: Global Ecology and Biogeography
• 影响因子: 6.4
• 作者: F. L. La Sorte;Myla F. J. Aronson;Christopher A. Lepczyk;K. Horton

Seasonal associations with light pollution trends for nocturnally migrating bird populations

• DOI: 10.1002/ecs2.3994
• 发表时间: 2022-03
• 期刊: Ecosphere
• 影响因子: 2.7
• 作者: F. L. La Sorte;K. Horton;A. Johnston;D. Fink;T. Auer

Area is the primary correlate of annual and seasonal patterns of avian species richness in urban green spaces

面积是城市绿地鸟类物种丰富度年度和季节模式的主要相关因素

• DOI: 10.1016/j.landurbplan.2020.103892
• 发表时间: 2020
• 期刊: Landscape and Urban Planning
• 影响因子: 9.1
• 作者: La Sorte, Frank A.;Aronson, Myla F.J.;Lepczyk, Christopher A.;Horton, Kyle G.
• 通讯作者: Horton, Kyle G.