Baltensperger A P, Joly K
4175 Geist Rd, National Park Service, Fairbanks, AK 99709 USA.
Mov Ecol. 2019 Jun 6;7:18. doi: 10.1186/s40462-019-0162-8. eCollection 2019.
Caribou in the Western Arctic Herd undertake one of the longest, remaining intact migrations of terrestrial mammals in the world. They are also the most important subsistence resource for many northern rural residents, who rely on the caribou's migratory movements to bring them near for harvest. Migratory geography has never been static, but subsistence harvesters have reported recent shifts in migration away from areas where they traditionally occurred. The reasons behind these changes are not well-understood, but may be related to rapid climate change and anthropogenic disturbances.
To predict changes in distribution and shifting migratory areas over the past decade, we used GPS telemetry data from adult females to develop predictive ecological niche models of caribou across northwestern Alaska. We employed the machine-learning algorithm, TreeNet, to analyze interactive, multivariate relationships between telemetry locations and 37 spatial environmental layers and to predict the distributions of caribou during spring, calving season, insect-harassment season, late summer, fall, and winter from 2009 to 2017. Model results were analyzed to identify regions of repeated predicted use, quantify mean longitude, predict land cover selection, and track migratory changes over time.
Distribution models accurately predicted caribou at a spatially-explicit, 500-m scale. Model analyses identified migratory areas that shifted annually across the region, but which predicted 4 main areas of repeated use. Niche models were defined largely by non-linear relationships with coastally-influenced, climatic variables, especially snow-free date, potential evapo-transpiration, growing season length, proximity to sea ice, winter precipitation and fall temperature. Proximity to roads and communities were also important and we predicted caribou to generally occur more than 20-100 km from these features.
Western Arctic Herd caribou were predicted to occur in warmer, snow-free and treeless areas that may provide conditions conducive for efficient travel and foraging. Rapidly changing seasonal climates and coastal influences that determine forage availability, and human impediments that slow or divert movements are related to geographically and phenologically dynamic migration patterns that may periodically shift caribou away from traditional harvest areas. An enhanced understanding of the geographic behavior of caribou over time could inform traditional harvests and help conserve important Western Arctic caribou migratory areas.
西部北极鹿群进行着世界上现存最长且完整的陆地哺乳动物迁徙之一。它们也是许多北部农村居民最重要的生存资源,这些居民依靠鹿群的迁徙活动将鹿群带到附近以便进行捕猎。迁徙地理情况并非一成不变,但生存捕猎者报告称,鹿群最近的迁徙出现了从传统迁徙区域转移的情况。这些变化背后的原因尚不完全清楚,但可能与快速的气候变化和人为干扰有关。
为预测过去十年间鹿群分布和迁徙区域的变化,我们使用成年雌性鹿的GPS遥测数据,建立了阿拉斯加西北部鹿群的预测生态位模型。我们采用机器学习算法TreeNet,分析遥测位置与37个空间环境图层之间的交互多变量关系,并预测2009年至2017年春季、产犊季节、昆虫骚扰季节、夏末、秋季和冬季鹿群的分布情况。对模型结果进行分析,以确定重复预测使用的区域、量化平均经度、预测土地覆盖选择,并追踪随时间的迁徙变化。
分布模型在500米的空间尺度上准确预测了鹿群的位置。模型分析确定了该区域内每年都会发生变化的迁徙区域,但预测出了4个主要的重复使用区域。生态位模型主要由与受海岸影响的气候变量的非线性关系定义,特别是无雪日期、潜在蒸发散、生长季节长度、与海冰的距离、冬季降水量和秋季温度。与道路和社区的距离也很重要,我们预测鹿群通常出现在距离这些特征超过20 - 100公里的地方。
预计西部北极鹿群会出现在温暖、无雪且无树的地区,这些地区可能提供有利于高效移动和觅食的条件。快速变化的季节性气候和决定草料可用性的海岸影响,以及减缓或改变鹿群移动的人为障碍,与地理和物候动态的迁徙模式有关,这些模式可能会使鹿群定期远离传统捕猎区域。随着时间的推移,对鹿群地理行为的深入了解可为传统捕猎提供参考,并有助于保护重要的西部北极鹿群迁徙区域。