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首页> 外文期刊>Ecological Complexity >Connecting the dots in databases of endangered species: a Bayesian hierarchical imputation strategy for missing Peary caribou (Rangifer tarandus pearyi) population data
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Connecting the dots in databases of endangered species: a Bayesian hierarchical imputation strategy for missing Peary caribou (Rangifer tarandus pearyi) population data

机译:连接濒危物种数据库中的点:遗漏Peary Caribou(Rangifer Tarandus Pearyi)人口数据的贝叶斯分层估算策略

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Peary caribou (Rangifer tarandus pearyi) is listed as Endangered under Canada's Species at Risk Act. Studying rare and endangered species can be particularly challenging due to the constraints posed by incomplete datasets owing to poor weather conditions, lack of technology, organizational deficiencies, and high survey costs in remote areas. A defensible way to remedy data gaps and thus improve the robustness of any given modelling exercise is through imputation schemes, which are typically selected on the basis of missing data patterns. In this study, we develop a regression-based imputation method aiming to identify the linkages among available population records in time and space. One of the fundamental assumptions of our imputation model is that there is a subset of primary islands that act as the core areas from where the Peary caribou populations migrate to secondary or satellite islands. Specifically, we delineated six distinct geographic clusters (Banks, Axel Heiberg, Bathurst, Boothia, Melville and Mackenzie King) across the Canadian Arctic Archipelago, and within each cluster Peary caribou seasonal inter-island movements take place in any given year. Parameterized with Bayesian inference techniques, our imputation modelling strategy has a flexible structure that can accommodate non monotonic spatiotemporal patterns, and was thus able to capture more than 65% of the variability in our dataset. The two islands (Banks and Northwest Victoria) of the Banks island complex exhibited an average decline rate of 6% per year over the past four decades, which collectively reflects the dramatic population decrease from the early 1970s until the late 1990s, as well as the distinct recovery after the early 2000s. Similar "wax-and-wane" cycles characterize the Peary caribou population patterns on Melville and Bathurst island complexes. Our analysis provides evidence of positive rate of change of the population trends on Axel Heiberg and Ellesmere Islands, which likely stems from pockets on those islands, where favorable climatic/geomorphological conditions, and rich vegetation prevail. In stark contrast, overharvesting, higher predation, adverse climatic conditions, and human-induced forage shortage have led to a dramatic decline, nearing their extirpation, on the Boothia island complex.
机译:Peary Caribou(Rangifer Tarandus Pearyi)被列为在Canada的风险法下濒临灭绝。由于天气条件贫困,偏远地区缺乏技术,组织缺陷和高调查成本,所以不完整的数据集所带来的限制,研究罕见和濒危物种可能是特别具有挑战性的。一种可靠的方法来解决数据间隙,从而提高任何给定的建模锻炼的鲁棒性是通过估算方案,其通常基于缺失的数据模式选择。在这项研究中,我们开发了一种基于回归的载体方法,旨在识别可行的人口记录中的连锁时间和空间。我们的撤销模式的基本假设之一是,主要岛屿的子集是由Peary Caribou人群迁移到次级或卫星群岛的核心区域。具体而言,我们描绘了六个不同的地理集群(银行,Axel Heiberg,Bathurst,Boothia,Melville和Mackenzie King),遍布加拿大北极群岛,在每个集群中,在任何一年的Peary Caribou季节性运动中就在任何一年中发生。使用贝叶斯推理技术进行参数化,我们的撤销建模策略具有柔性结构,可以容纳非单调的时空模式,因此能够捕获我们数据集中的超过65%的可变性。银行岛屿化合物的两个岛屿(银行和西北维多利亚)在过去的四十年里,每年平均下降率为6%,其中共同反映了20世纪70年代初期的戏剧性人口减少,直到20世纪90年代末,以及2000年代初后明显恢复。类似的“蜡和百叶”周期,表征了梅尔维尔和沐浴岛复合物上的Peary Caribou种群模式。我们的分析提供了证据证明Axel Heiberg和Ellesmere岛上的人口趋势的积极变化率,这可能源于那些岛屿上的口袋,在那里有利的气候/地貌条件,富裕的植被占上风。在Stark对比中,举射,更高的掠夺,恶性的气候条件和人类引起的牧草短缺导致了戏剧性的下降,即将到Boothia Island Complex上的灭绝。

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