Suppr超能文献

EolPop,一个用于量化暴露于致死风险物种的人口统计学影响的 R-shiny 工具:在风力涡轮机与鸟类碰撞中的应用。

EolPop, a R-shiny tool for quantifying the demographic impact of species exposed to fatalities: Application to bird collisions with wind turbines.

机构信息

CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.

CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.

出版信息

J Environ Manage. 2023 Nov 1;345:118923. doi: 10.1016/j.jenvman.2023.118923. Epub 2023 Sep 7.

Abstract

Quantifying the demographic impact of anthropogenic fatalities on animal populations is a key component of wildlife conservation. However, such quantification remains rare in environmental impact assessments (EIA) of large-infrastructure projects, partly because of the complexity of implementing demographic models. Providing user-friendly demographic tools is thus an important step to fill this gap. We developed an application called EolPop to run demographic simulations and assess population-level impacts of fatalities. This tool, freely available online, is easy to use and requires minimal input data from the user. As an output, it provides an estimate, with associated uncertainty, of the relative deficit in population size at a given time horizon. Because this impact metric is relative to a baseline scenario without fatalities, it is robust to uncertainties. We showcase the tool using examples on two species that are affected by collisions with wind turbines: Lesser kestrel (Falco naumanni) and Eurasian skylark (Alauda arvensis). After 30 years, the kestrel's population is expected to suffer a deficit of ca. 48%. In contrast, the impact on skylarks, which are already declining in France, is estimated to be fairly low (ca. 7%). EolPop aims at providing a robust quantification of the relative impact of fatalities. This tool was originally built for windfarm EIA, with a focus on birds, but it can be used to assess the demographic consequences of any type of fatalities on any species.

摘要

量化人为致死对动物种群的人口统计学影响是野生动物保护的一个关键组成部分。然而,这种量化在大型基础设施项目的环境影响评估(EIA)中仍然很少见,部分原因是实施人口统计学模型的复杂性。因此,提供用户友好的人口统计学工具是填补这一空白的重要步骤。我们开发了一个名为 EolPop 的应用程序,用于运行人口统计模拟并评估死亡事件对种群水平的影响。这个工具是免费在线提供的,易于使用,用户只需提供最少的数据。作为输出,它提供了在给定时间范围内种群规模相对不足的估计值及其相关不确定性。由于这个影响指标与没有死亡事件的基线情景相对应,因此它对不确定性具有稳健性。我们使用两种受风力涡轮机碰撞影响的物种的示例来展示该工具:红隼(Falco naumanni)和欧亚云雀(Alauda arvensis)。 30 年后,红隼的种群预计将减少约 48%。相比之下,对法国已经在减少的云雀的影响估计相对较低(约 7%)。EolPop 旨在提供对死亡事件相对影响的稳健量化。该工具最初是为风力发电场 EIA 构建的,重点是鸟类,但它可用于评估任何类型的死亡事件对任何物种的人口统计学后果。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验