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  • 1
    In: Royal Society Open Science, The Royal Society, Vol. 9, No. 3 ( 2022-03)
    Abstract: Renewable energy production can kill individual birds, but little is known about how it affects avian populations. We assessed the vulnerability of populations for 23 priority bird species killed at wind and solar facilities in California, USA. Bayesian hierarchical models suggested that 48% of these species were vulnerable to population-level effects from added fatalities caused by renewables and other sources. Effects of renewables extended far beyond the location of energy production to impact bird populations in distant regions across continental migration networks. Populations of species associated with grasslands where turbines were located were most vulnerable to wind. Populations of nocturnal migrant species were most vulnerable to solar, despite not typically being associated with deserts where the solar facilities we evaluated were located. Our findings indicate that addressing declines of North American bird populations requires consideration of the effects of renewables and other anthropogenic threats on both nearby and distant populations of vulnerable species.
    Type of Medium: Online Resource
    ISSN: 2054-5703
    Language: English
    Publisher: The Royal Society
    Publication Date: 2022
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  • 2
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 366, No. 6470 ( 2019-12-06), p. 1206-1207
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2019
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    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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  • 3
    In: Ecosphere, Wiley, Vol. 11, No. 3 ( 2020-03)
    Abstract: Human activity influences wildlife. However, the ecological and conservation significances of these influences are difficult to predict and depend on their population‐level consequences. This difficulty arises partly because of information gaps, and partly because the data on stressors are usually collected in a count‐based manner (e.g., number of dead animals) that is difficult to translate into rate‐based estimates important to infer population‐level consequences (e.g., changes in mortality or population growth rates). However, ongoing methodological developments can provide information to make this transition. Here, we synthesize tools from multiple fields of study to propose an overarching, spatially explicit framework to assess population‐level consequences of anthropogenic stressors on terrestrial wildlife. A key component of this process is using ecological information from affected animals to upscale from count‐based field data on individuals to rate‐based demographic inference. The five steps to this framework are (1) framing the problem to identify species, populations, and assessment parameters; (2) field‐based measurement of the effect of the stressor on individuals; (3) characterizing the location and size of the populations of interest; (4) demographic modeling for those populations; and (5) assessing the significance of stressor‐induced changes in demographic rates. The tools required for each of these steps are well developed, and some have been used in conjunction with each other, but the entire group has not previously been unified together as we do in this framework. We detail these steps and then illustrate their application for two species affected by different anthropogenic stressors. In our examples, we use stable hydrogen isotope data to infer a catchment area describing the geographic origins of affected individuals, as the basis to estimate population size for that area. These examples reveal unexpectedly greater potential risks from stressors for the more common and widely distributed species. This work illustrates key strengths of the framework but also important areas for subsequent theoretical and technical development to make it still more broadly applicable.
    Type of Medium: Online Resource
    ISSN: 2150-8925 , 2150-8925
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2572257-8
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  • 4
    In: Conservation Biology, Wiley, Vol. 35, No. 1 ( 2021-02), p. 64-76
    Abstract: 不断增长的全球能源需求正在促进可再生能源作为化石燃料的替代能源的发展。然而, 可再生能源设施可能对野生动物产生不利影响。设施选址指南通常建议或要求项目开发者对施工前后的野生动物进行调查, 以预测风险并估计拟建项目的影响。尽管如此, 目前还没有已发表研究对野生动物调查类型的选择和设施内部、设施之间如何确定标准化调查类型做过定量分析。本研究评估了 628 篇同行评审文献、未发表报告及引文, 并分析了其中美国和加拿大的 525 篇文献或报告的数据 (涉及 203 个设施, 包含 193 个风能和 10 个太阳能设施), 以确定施工前后调查的频率及其随时间的变化;明确设计进行施工前后或影响控制分析的研究的频率;施工前后收集的调查数据类型, 以及这些数据类型在不同时期和不同设施之间的标准化方法。在本研究的数据集中, 设施建设后的野生动物死亡率和栖息地利用的监测是常规标准做法 (446 份报告), 而在建设前对野生动物死亡率及栖息地利用的基线水平的评估较少 (84 份)。 203 个设施中只有 22% (45 个)同时提供了施工前和施工后的数据, 有 29% (59 个) 提供了实验研究设计。在进行了栖息地利用调查的 108 个设施中, 只有 3% 包含了动物发现概率的估计。因此, 现有数据普遍不能在不同建设时期和不同设施之间进行生物学数据的比较。我们建议使用实验研究设计并遵循类似的野外研究方法, 以提高对可再生能源影响野生动物的认识。 【翻译: 胡怡思; 审校: 聂永刚】
    Type of Medium: Online Resource
    ISSN: 0888-8892 , 1523-1739
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
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    SSG: 12
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