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首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Variations in grizzly bear habitat selection in relation to the daily and seasonal availability of annual plant-food resources
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Variations in grizzly bear habitat selection in relation to the daily and seasonal availability of annual plant-food resources

机译:灰熊栖息地选择的变化与年度植物 - 食品资源的日常和季节性可用性相关

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摘要

Determining how resource availability changes daily, seasonally and annually, and how wildlife react to these changes, is valuable for managing wildlife. For vegetative resources phenological information can be used to determine availability and model the distribution of available resources. This study develops a set of annually varying species distribution models using maximum entropy modeling for eight grizzly bear key plant-food species using 1635 food occurrences collected between 2001 and 2017. Seasonal availability (phenology) of plant-food species were then estimated daily at a 30 m resolution for the period 2000-2017 using ground data collected at 15 sites in 2015 and 2018 combined with newly created fine scale phenology product DRIVE (Daily Remote Inference of Vegetation). These food availability layers were then used to develop resource selection functions with grizzly bear GPS collar data to describe daily and seasonal habitat selection and to compared how this changes over a three-year period based on changes in mean annual precipitation. Results demonstrated that grizzly bears selected areas where key plant-food species were available and that habitat selection varied between wet and dry years dependant on season and species. In dry spring conditions, selection for root species was stronger and occurred earlier than for an average and wet year. In the wet summer, length of selection for forb species increased, while strength of selection for wet and dry years was species dependant. In the fall, strength of selection for berry species between wet and dry years was species dependant, but overall selection for berry species was prolonged in the dry fall year. This research aids in predicting how inter-annual differences in climate affect grizzly bear habitat selection and provides insights to managers regarding how changes in management practices that encourage growth of understory vegetation could be used to maximize food resources regionally for grizzly bears and other wildlife.
机译:确定资源可用性如何日常变化,季节性和每年,以及野生动物如何对这些变化的反应,对管理野生动物有价值。对于植物资源,职能资源可用于确定可用资源的可用性和模型。本研究开发了一套使用2001年至2017年间收集的八个灰熊关键植物 - 食物物种的最大熵建模的每年变化的物种分布模型。然后每天估计植物 - 食物物种的季节性可用性(酚类物种) 2000-2017期间的30米分辨率使用2015年和2018年在15个地点收集的地址数据结合新创建的精细规模候选产品(植被的每日远程推断)。然后使用这些食品可用性层来开发资源选择功能,具有Grizzly Bear GPS项圈数据,以描述日常和季节性栖息地选择,并在三年期间基于平均年降水的变化来实现这一变化。结果表明,灰熊选定了主要植物 - 食物物种的区域,并且栖息地选择在季节和物种依赖于潮湿和干燥的岁月之间。在干燥的弹簧条件下,对根部的选择更强并且比平均和潮湿的年份更早发生。在潮湿的夏天,FORB物种的选择长度增加,而湿润和干燥的岁月的选择是依赖的物种。在秋季,潮湿和干燥年之间的浆果种类的选择是依赖物种,但浆果物种的整体选择在干燥的秋季延长了。这项研究有助于预测气候影响灰熊栖息地选择的年间差异如何,并对管理人员提供有关鼓励较长植被增长的管理实践变化的洞察,以便为灰熊和其他野生动物区分最大化食物资源。

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