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首页> 外文期刊>Ecological research >Multiple spatial-scale resource selection function models in relation to human disturbance for moose in northeastern China
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Multiple spatial-scale resource selection function models in relation to human disturbance for moose in northeastern China

机译：东北地区与人为干扰有关的多种空间尺度资源选择函数模型

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The moose (Alces alces cameloides) population in northeastern China is on the southernmost edge of its distribution in Asia. A survey was conducted to determine moose resource selection and the effects of human disturbance on moose in a study area of 20,661 ha located on the northwestern slope of the Lesser Khingan Mountains, located in northeastern China. Predictive models of resource selection were developed using logistic and autologistic regression. All models considered resource variable selection at two spatial scales, patch and landscape. At the patch scale, moose preferred larger birch (Betula platyphylla) patches, but avoided larger tamarack (Larix gmelinii) patches. At the landscape scale, moose preferred higher densities of tamarack patches, i.e., heterogeneity of tamarack stands, selected areas with more abundant annual shoots, terrain conducive to better concealment, higher altitudes and areas saturated with soil moisture. Roads and forest harvest intervals were identified as important human disturbance factors. This is the first time that moose have been reported to avoid roads, and the avoidance distance was nearly 3 km. We believe that in this region moose under the influence of roads are behaviorally plastic, compared with the indifference of moose to the presence of roads in other regions. Moose avoided forest areas logged more than 3 years previously and preferred areas logged 1-2 years previously. In addition, it may be necessary to monitor the effect of the dynamic of density of roe deer on the spatial distribution of the moose population.
机译：中国东北的驼鹿（Alces alces cameloides）种群位于亚洲分布的最南端。在中国东北小兴安岭西北坡20,661公顷的研究区域中，进行了一项调查以确定麋鹿资源的选择以及人为干扰对麋鹿的影响。资源选择的预测模型是使用逻辑回归和自回归回归开发的。所有模型都考虑了两个空间尺度（斑块和景观）的资源变量选择。在斑块规模上，驼鹿首选较大的桦木（Betula platyphylla）斑块，但避免使用较大的塔玛拉克（Larix gmelinii）斑块。在景观尺度上，驼鹿更喜欢更高密度的塔玛拉克斑块，即塔玛拉克林分的异质性，选定的区域，这些树的年生芽较多，有利于更好地隐藏的地形，更高的海拔和土壤湿度饱和的区域。道路和森林采伐间隔被确定为重要的人为干扰因素。这是第一次有驼鹿避开道路的报道，避让距离接近3公里。我们认为在该地区，与其他地区对公路的冷漠相比，在道路影响下的驼鹿在行为上具有可塑性。驼鹿避开了3年以上采伐的森林面积，而避免了1-2年采伐的首选林区。此外，可能有必要监测ro密度的动态变化对驼鹿种群空间分布的影响。

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