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利用栖息地适宜性模型预测英国道路上刺猬的死亡风险。

Predicting hedgehog mortality risks on British roads using habitat suitability modelling.

作者信息

Wright Patrick G R, Coomber Frazer G, Bellamy Chloe C, Perkins Sarah E, Mathews Fiona

机构信息

Life Sciences, University of Sussex, Brighton, UK.

The Mammal Society, London, UK.

出版信息

PeerJ. 2020 Jan 21;7:e8154. doi: 10.7717/peerj.8154. eCollection 2020.

Abstract

Road vehicle collisions are likely to be an important contributory factor in the decline of the European hedgehog ( in Britain. Here, a collaborative roadkill dataset collected from multiple projects across Britain was used to assess when, where and why hedgehog roadkill are more likely to occur. Seasonal trends were assessed using a Generalized Additive Model. There were few casualties in winter-the hibernation season for hedgehogs-with a gradual increase from February that reached a peak in July before declining thereafter. A sequential multi-level Habitat Suitability Modelling (HSM) framework was then used to identify areas showing a high probability of hedgehog roadkill occurrence throughout the entire British road network (∼400,000 km) based on multi-scale environmental determinants. The HSM predicted that grassland and urban habitat coverage were important in predicting the probability of roadkill at a national scale. Probabilities peaked at approximately 50% urban cover at a one km scale and increased linearly with grassland cover (improved and rough grassland). Areas predicted to experience high probabilities of hedgehog roadkill occurrence were therefore in urban and suburban environments, that is, where a mix of urban and grassland habitats occur. These areas covered 9% of the total British road network. In combination with information on the frequency with which particular locations have hedgehog road casualties, the framework can help to identify priority areas for mitigation measures.

摘要

道路车辆碰撞很可能是导致欧洲刺猬(在英国)数量下降的一个重要因素。在此,我们利用从英国多个项目收集的一个合作性道路死亡数据集,来评估刺猬道路死亡更可能在何时、何地以及为何发生。我们使用广义相加模型评估季节趋势。冬季(刺猬的冬眠季节)伤亡较少,从2月开始逐渐增加,7月达到峰值,之后下降。然后,我们使用一个连续的多尺度栖息地适宜性建模(HSM)框架,基于多尺度环境决定因素,在整个英国道路网络(约400,000公里)中识别出刺猬道路死亡发生概率较高的区域。HSM预测,在国家尺度上,草地和城市栖息地覆盖面积对于预测道路死亡概率很重要。在1公里尺度上,概率在城市覆盖率约为50%时达到峰值,并随草地覆盖面积(改良草地和粗放草地)线性增加。因此,预计刺猬道路死亡发生概率较高的区域位于城市和郊区环境,即城市和草地栖息地混合的地方。这些区域覆盖了英国道路网络总面积的9%。结合特定地点刺猬道路伤亡频率的信息,该框架有助于确定缓解措施的优先区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d7c/6979406/7e2f295572fc/peerj-08-8154-g001.jpg

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