Large-scale citizen science improves assessment of risk posed by wind farms to bats in southern Scotland
Large-scale citizen science improves assessment of risk posed by wind farms to bats in southern Scotland
复制标题
大规模公民科学改进了对苏格兰南部风电场对蝙蝠造成的风险的评估
DOI：
10.1016/j.biocon.2017.09.004
复制
发表时间：
2017
影响因子：
5.9
通讯作者：
Mark W. Wilson
中科院分区：
文献类型：
--
作者：
S. Newson;Hazel E. Evans;S. Gillings;D. Jarrett;R. Raynor;Mark W. Wilson
为了确保未来风能开发的位置不会与蝙蝠的重要区域发生冲突，需要进行调查和分析，以充分了解物种分布和丰度的大规模模式。我们证明，广泛的存在-不存在的调查数据可以收集蝙蝠在苏格兰南部的一个大的（> 20，000平方公里）地区使用志愿者补充额外的野外工作人员在偏远地区的努力。我们提倡一种调查设计，允许收集所有蝙蝠物种的数据，但对目前被认为是风力涡轮机风险最高的三个物种（Leisler的蝙蝠，蝙蝠和Nathusius的伏翼）提供更集中的分析。我们估计，这三种高风险物种的16%至24%的区域种群与现有和批准的风电场重叠，其中50%的重叠集中在10%的风电场。这强调了新风电场布局的重要性，以尽量减少对这些物种的影响。我们根据未来风电场开发对蝙蝠的潜在影响对该地区进行了分层，突出了风险最高的1%，5%和10%的地区。我们的结论是，有必要为这种类型的高质量的数据，以告知蝙蝠分布和活动的空间模型。作为最低标准，研究蝙蝠的研究人员应优先考虑收集和使用存在-不存在数据，并考虑基本的调查设计和收集数据的代表性。与公众合作制定大规模的声学监测计划，可以最具成本效益地实现这一目标。
In order to ensure that the placement of future wind energy developments does not conflict with important areas for bats, surveys and analyses are required to deliver a robust understanding of large-scale patterns in species’ distributions and abundance. We demonstrate that extensive presence-absence survey data can be collected for bats across a large (> 20,000 km2) region of southern Scotland using volunteers supplemented with additional fieldworker effort in remote areas. We advocate a survey design that allows data to be collected for all bat species, but provide more focused analyses on three species (Leisler's bat, noctule and Nathusius' pipistrelle) that are currently considered to be at highest risk from wind turbines. We estimate that between 16% and 24% of the regional populations of these three high risk species overlap existing and approved wind farms, with 50% of this overlap concentrated at just 10% of wind farms. This emphasises the importance of new wind farm placement to minimise impact on these species. We have stratified the region according to the potential impact on bats of future wind farm development, highlighting those areas in the top 1%, 5% and 10% of risk. We conclude that there is a need for higher quality data of this type in order to inform spatial models of bat distribution and activity. As a minimum standard, researchers working on bats should prioritise the collection and use of presence-absence data with consideration of the underlying survey design and representativeness of the data collected. This can be achieved most cost-effectively by working with the public to develop large-scale acoustic monitoring schemes.
影响因子：
30.7
作者：
Johnston, Alison;Ausden, Malcolm;Pearce-Higgins, JamesW.
通讯作者：
Pearce-Higgins, JamesW.