Jones Esther L, Sparling Carol E, McConnell Bernie J, Morris Christopher D, Smout Sophie
Centre for Research into Ecological and Environmental Modelling, The Observatory, Buchanan Gardens, University of St Andrews, St Andrews, Fife, KY16 9LZ, UK.
Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB, UK.
Sci Rep. 2017 Sep 14;7(1):11581. doi: 10.1038/s41598-017-11174-4.
High-resolution distribution maps can help inform conservation measures for protected species; including where any impacts of proposed commercial developments overlap the range of focal species. Around Orkney, northern Scotland, UK, the harbour seal (Phoca vitulina) population has decreased by 78% over 20 years. Concern for the declining harbour seal population has led to constraints being placed on tidal energy generation developments. For this study area, telemetry data from 54 animals tagged between 2003 and 2015 were used to produce density estimation maps. Predictive habitat models using GAM-GEEs provided robust predictions in areas where telemetry data were absent, and were combined with density estimation maps, and then scaled to population levels using August terrestrial counts between 2008 and 2015, to produce harbour seal usage maps with confidence intervals around Orkney and the North coast of Scotland. The selected habitat model showed that distance from haul out, proportion of sand in seabed sediment, and annual mean power were important predictors of space use. Fine-scale usage maps can be used in consenting and licensing of anthropogenic developments to determine local abundance. When quantifying commercial impacts through changes to species distributions, usage maps can be spatially explicitly linked to individual-based models to inform predicted movement and behaviour.
高分辨率分布图有助于为受保护物种的保护措施提供信息;包括拟议的商业开发项目的任何影响与重点物种的分布范围重叠的区域。在英国苏格兰北部的奥克尼群岛周围,港海豹(Phoca vitulina)的数量在20年里减少了78%。对港海豹数量下降的担忧导致潮汐能发电开发项目受到限制。对于本研究区域,利用2003年至2015年期间标记的54只动物的遥测数据制作了密度估计图。使用广义相加模型-广义估计方程(GAM-GEEs)的预测栖息地模型在没有遥测数据的区域提供了可靠的预测,并与密度估计图相结合,然后利用2008年至2015年8月的陆地计数将其扩展到种群水平,以生成奥克尼群岛和苏格兰北海岸周围带有置信区间的港海豹使用图。所选的栖息地模型表明,到上岸地点的距离、海床沉积物中的沙子比例和年平均功率是空间利用的重要预测因子。精细尺度的使用图可用于人为开发项目的审批和许可,以确定当地的丰度。在通过物种分布变化量化商业影响时,使用图可在空间上明确地与基于个体的模型相联系,以为预测的移动和行为提供信息。