当前位置: X-MOL 学术Mamm. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Resource use by marten at fine spatial extents
Mammal Research ( IF 1.3 ) Pub Date : 2020-08-10 , DOI: 10.1007/s13364-020-00525-8
Gary J. Roloff , Bradford R. Silet , Steven M. Gray , John M. Humphreys , Eric M. Clark

Martens (Martes spp.) occupy areas with complex forest structure that can exhibit patchy distribution, particularly in managed forest landscapes. These structures (e.g., downed wood) are often difficult to reliably sample so more easily acquired surrogates may better describe marten habitat. Recent advances in global positioning system (GPS) collars combined with integrated (i.e., imagery with geospatial modeling), resolute, remotely sensed maps offer a potentially efficient means of understanding marten space use. We placed GPS collars on 13 American marten (M. americana), attempted to acquire a locational fix every 15 min, and calculated adaptive kernel home ranges from successful locations. We modeled probability of marten use as a function of covariates derived from remotely sensed data that included proportion of vegetation cover types, and distances to maintained roads and hydrographic features at 2.5, 4.5, and 7.1 ha extents. Average cover type values varied minimally across spatial extents we evaluated, indicating fine-scale homogenization. Amount of tall (> 10 m) deciduous forest, tall and short conifer forests, and riparian forests had positive effects on marten use, whereas distance to maintained roads had a weak negative effect. Broad riparian areas (e.g., scrub–shrub swamps that occur in broad topographic depressions), not necessarily associated with mapped hydrographic lines, were heavily used by marten. We found that core use areas for marten could reliably be predicted from 30 m remotely sensed maps summarized at relatively small extents (2.4–7.1 ha).

中文翻译:

貂在良好的空间范围内使用资源

马滕斯(Martes spp )占据了森林结构复杂的区域,这些区域可能会显示出斑片状的分布,特别是在管理的森林景观中。这些结构(例如,倒下的木头)通常很难可靠地采样,因此更容易获得的替代物可能更好地描述了貂的栖息地。全球定位系统(GPS)项圈的最新进展与集成的(即具有地理空间建​​模的影像),坚固的遥感地图相结合,提供了一种潜在的有效方式来了解貂空间的使用。我们将GPS项圈放在13只美国貂(M.),尝试每15分钟获取一次位置定位,然后从成功的位置计算出自适应内核主范围。我们对使用貂的概率进行建模,该变量是从遥感数据中得出的协变量的函数,这些数据包括植被覆盖类型的比例,到养护的道路的距离以及2.5、4.5和7.1公顷范围内的水文特征。在我们评估的空间范围内,平均覆盖类型值变化最小,表明精细均质化。高大(> 10 m)的落叶林,高矮针叶林和河岸林对貂的使用产生积极影响,而距离养护道路的距离则影响较弱。宽阔的河岸地区(例如,发生在宽阔的地形洼地中的灌丛灌木丛沼泽地),不一定与水文测绘线有关,被貂大量使用。我们发现,从30 m的遥感地图(相对较小的范围(2.4-7.1公顷)汇总)可以可靠地预测貂的核心使用区域。
更新日期:2020-08-10
down
wechat
bug