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A stochastic modelling framework to accommodate the inter-annual variability of habitat conditions for Peary caribou (Rangifer tarandus pearyi) populations

机译:一种随机建模框架,以适应Peary Caribou(Rangifer Tarandus Pearyi)人群的年度栖息地条件的年度变异性

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摘要

Climate variability and a wide range of anthropogenic disturbances in the Canadian Arctic Archipelago (CAA) have a negative impact on Peary caribou (Rangifer tarandus pearyi) populations by encumbering seasonal migration patterns, forage accessibility, and calving processes. Increasing Arctic temperatures and precipitation along with the higher frequency of extreme weather events (winter cyclones, rain-on-snow) are responsible for spatiotemporal shifts in floral and faunal phenology, changes in species overlap, and functional alterations of trophic relationships. Building upon empirical estimates of the Peary caribou population rates of change on the Canadian Arctic Archipelago, we introduce a two-pronged approach aiming to characterize year-to-year variability of habitat conditions across the Canadian Arctic Archipelago from 2000 to 2013. Our explanatory variables are based on meteorological (surface snow melt, precipitation, temperature, wind speed) variables, landscape features (fraction of rockland), and resource competition with muskoxen (Ovibos moschatus). These habitat suitability estimates form the basis of a stochastic algorithm to recreate the population growth rates and identify locations, where Peary caribou could experience >10%, 25%, or 50% decrease relative to the population levels at the beginning of our study period. Our analysis identifies the Boothia island complex as a high-risk area, where the low Peary caribou population size is suggestive of their increased susceptibility to extirpation after episodic weather-related events, disease outbreaks, or even elevated incidental predation. In Banks island complex, we provide evidence that the volunteered curtailment of hunting, achieved through co-management between Indigenous communities and regional biologists, moderated (and possibly reversed) the declining trends as established during the pre-2000 period. Our random-walk search also suggests that the prevailing habitat conditions in Melville and Bathurst island complexes were generally favorable and could partly explain the recent Peary caribou population increase. We conclude by identifying unaccounted factors that are critical for building an empirical modelling framework with quasi-mechanistic foundation in order to evaluate the impact of climate change on the integrity of Peary caribou populations within any location of the Canadian Arctic.
机译:加拿大北极群岛(CAA)中的气候变异性和广泛的人为紊乱通过抵押季节性迁移模式,牧草访问和产犊过程,对Peary Caribou(Rangifer Tarandus Pearyi)群体产生负面影响。增加北极温度和降水以及较高的极端天气事件(冬季旋风,雨雪)的频率较高,负责花卉和动物群的时尚变化,物种重叠的变化和营养关系的功能改变。建立在加拿大北极群岛的Peary Caribou人口变化率的实证估计,我们介绍了一个双管齐下的方法,旨在从2000年到2013年的加拿大北极群岛的栖息地条件的年度变异性。我们的解释性变量基于气象(表面雪熔化,降水,温度,风速,风速)变量,景观特征(Rockland的一部分),以及麝香豆(Ovibos Moschatus)的资源竞争。这些栖息地适当性估计构成了随机算法的基础,以重新创建人口增长率和确定地点,Peary Caribou在我们的研究期间在人口水平上相对于人口水平减少了10%,25%或50%。我们的分析将Boothia Island Complex识别为一个高风险区域,低Peary Caribou人口大小暗示其在显着的天气相关事件,疾病爆发或甚至偶然的偶然急诊中延长灭绝的易感性。在银行岛屿群体中,我们提供了志愿狩猎的证据,通过土着社区和区域生物学家之间的共同管理实现了狩猎,使(并可能逆转)在2000年前期间成立的下降趋势。我们的随机散步搜索还表明,梅尔维尔和巴瑟斯特岛屿综合体的盛行栖息地条件普遍优惠,可以部分解释最近的Peary Caribou人口增加。我们通过确定与准机会基础构建实证建模框架至关重要的未分析因素,以评估气候变化对加拿大北极地区的任何地点的Peary Caribou人群完整性的影响。

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