Multi-scale habitat selection and spatial analysis reveals a mismatch between the wintering distribution of a threatened population of Taiga Bean Geese Anser fabalis and its protected area

Pub Date : 2021-04-03 DOI:10.1080/00063657.2021.1966740
Michael Thornton, C. Mitchell, L. Griffin, R. Briers, B. Minshull, Angus Maciver, Patrick J. C. White
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引用次数: 1

Abstract

ABSTRACT Capsule Our multi-scale habitat selection and spatial analysis of a threatened population of Taiga Bean Geese Anser fabalis highlights the importance of monitoring and review programmes to determine whether species conservation measures are being implemented at the correct spatio-temporal scales. Aims To undertake a habitat selection and spatial analysis of an internationally important population of Taiga Bean Geese, and quantify the extent to which their foraging range overlaps with a protected area classified to protect their roost sites and foraging areas. Methods A five-year field count dataset was used to quantify foraging habitat selection at the population range scale. In addition, global positioning system (GPS)/ultra high frequency loggers were attached to 12 birds and GPS location data were collected to quantify foraging habitat selection at an individual foraging range scale. Results Generalized linear models predicted that, at the population foraging range scale, Taiga Bean Geese selected agriculturally improved pasture, and this selection was more pronounced at greater distances from public roads. At an individual foraging range scale, compositional analysis revealed that agriculturally improved pasture was significantly selected over all other habitats. There was a substantial mismatch between their individual foraging ranges and the protected area, with less than 35% (median: 21%; range 9.5–31.9%) of their individual full foraging ranges overlapping with the protected area. Discussion Fixed protected areas may fail to fully accommodate the spatio-temporal foraging dynamics of geese, however a more appropriate conservation measure may be the use of flexible management schemes to maintain their foraging areas within and beyond protected area boundaries. This case study highlights the importance of developing dynamic conservation strategies for species liable to undergo range shifts.
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多尺度生境选择和空间分析揭示了针叶林豆鹅濒危种群越冬分布与保护区的不匹配
摘要/ ABSTRACT摘要:本文通过对濒危泰加豆鹅(Taiga Bean Geese Anser fabalis)种群的多尺度生境选择和空间分析,强调了监测和审查计划的重要性,以确定物种保护措施是否在正确的时空尺度上实施。目的对国际重要的针叶林豆鹅种群进行生境选择和空间分析,量化其觅食范围与保护区的重叠程度,以保护其栖息地和觅食区域。方法利用5年野外统计数据,在种群范围尺度上量化采食生境选择。此外,利用全球定位系统(GPS)/超高频记录仪采集了12只鸟类的GPS定位数据,量化了个体觅食范围尺度下的觅食栖息地选择。结果广义线性模型预测,在种群觅食范围尺度上,红豆雁对改良草场的选择更为明显,且这种选择在离公路越远的地方越明显。在个体取食范围尺度上,组成分析表明,改良牧草明显优于其他生境。它们的个体觅食范围与保护区之间存在明显的不匹配,小于35%(中位数:21%;9.5-31.9%)的个体觅食范围与保护区重叠。固定的保护区可能不能完全适应鹅的时空觅食动态,但更合适的保护措施可能是使用灵活的管理方案来维持其在保护区边界内外的觅食区域。本案例研究强调了对易发生范围变化的物种制定动态保护策略的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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