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Comparing sea ice habitat fragmentation metrics using integrated step selection analysis

机译:使用集成步骤选择分析比较海冰生境破碎化指标

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摘要

Habitat fragmentation occurs when continuous habitat gets broken up as a result of ecosystem change. While commonly studied in terrestrial ecosystems, Arctic sea ice ecosystems also experience fragmentation, but are rarely studied in this context. Most fragmentation analyses are conducted using patch‐based metrics, which are potentially less suitable for sea ice that has gradual changes between sea ice cover, than distinct “long‐term” patches. Using an integrated step selection analysis, we compared the descriptive power of a patch‐based metric to a more novel metric, the variation in local spatial autocorrelation over time. We used satellite telemetry data from 39 adult female polar bears ( ) in Hudson Bay to examine their sea ice habitat using Advanced Microwave Scanning Radiometer 2 data during sea ice breakup in May through July from 2013–2018. Spatial autocorrelation resulted in better model fits across 64% of individuals, although both metrics were more effective in describing movement patterns than habitat selection. Variation in local spatial autocorrelation allows for the visualization of sea ice habitat at complex spatial and temporal scales, condensing a targeted time period of habitat that would otherwise have to be analyzed daily.
机译:当由于生态系统变化而导致连续栖息地被破坏时,就会发生生境破碎化。北极海冰生态系统虽然通常在陆地生态系统中进行研究,但也经历破碎化的情况,但在这种情况下很少进行研究。大多数碎片分析是使用基于补丁的度量进行的,与单独的“长期”补丁相比,它可能更不适合在海冰覆盖之间有逐渐变化的海冰。通过使用集成的步骤选择分析,我们将基于补丁的度量与更新颖的度量(局部空间自相关随时间的变化)的描述能力进行了比较。我们使用来自哈德逊湾的39只成年雌性北极熊()的卫星遥测数据,在2013-2018年5月至7月的海冰破裂过程中,使用高级微波扫描辐射计2数据检查了它们的海冰栖息地。空间自相关可在64%的个体中实现更好的模型拟合,尽管这两个指标在描述运动模式方面比栖息地选择更为有效。局部空间自相关的变化允许在复杂的空间和时间尺度上可视化海冰栖息地,从而浓缩了原本必须每天进行分析的栖息地目标时间段。

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