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动态景观下的游牧有蹄类动物的资源选择。

Resource selection of a nomadic ungulate in a dynamic landscape.

机构信息

Department of Biological Sciences, Goethe University, Frankfurt am Main, Germany.

Senckenberg Biodiversity and Climate Research Centre, Senckenberg Gesellschaft für Naturforschung, Frankfurt am Main, Germany.

出版信息

PLoS One. 2021 Feb 12;16(2):e0246809. doi: 10.1371/journal.pone.0246809. eCollection 2021.

Abstract

Nomadic movements are often a consequence of unpredictable resource dynamics. However, how nomadic ungulates select dynamic resources is still understudied. Here we examined resource selection of nomadic Mongolian gazelles (Procapra gutturosa) in the Eastern Steppe of Mongolia. We used daily GPS locations of 33 gazelles tracked up to 3.5 years. We examined selection for forage during the growing season using the Normalized Difference Vegetation Index (NDVI). In winter we examined selection for snow cover which mediates access to forage and drinking water. We studied selection at the population level using resource selection functions (RSFs) as well as on the individual level using step-selection functions (SSFs) at varying spatio-temporal scales from 1 to 10 days. Results from the population and the individual level analyses differed. At the population level we found selection for higher than average NDVI during the growing season. This may indicate selection for areas with more forage cover within the arid steppe landscape. In winter, gazelles selected for intermediate snow cover, which may indicate preference for areas which offer some snow for hydration but not so much as to hinder movement. At the individual level, in both seasons and across scales, we were not able to detect selection in the majority of individuals, but selection was similar to that seen in the RSFs for those individuals showing selection. Difficulty in finding selection with SSFs may indicate that Mongolian gazelles are using a random search strategy to find forage in a landscape with large, homogeneous areas of vegetation. The combination of random searches and landscape characteristics could therefore obscure results at the fine scale of SSFs. The significant results on the broader scale used for the population level RSF highlight that, although individuals show uncoordinated movement trajectories, they ultimately select for similar vegetation and snow cover.

摘要

游牧活动通常是不可预测资源动态的结果。然而,游牧有蹄类动物如何选择动态资源仍在研究之中。在这里,我们研究了蒙古东部草原游牧蒙古羚羊(Procapra gutturosa)对资源的选择。我们使用了 33 只被追踪长达 3.5 年的羚羊的每日 GPS 位置。我们使用生长季节的归一化差异植被指数(NDVI)来检查对饲料的选择。在冬季,我们检查了对积雪的选择,积雪会影响到饲料和饮用水的获取。我们在种群水平上使用资源选择函数(RSF)以及在个体水平上使用步长选择函数(SSF),在从 1 到 10 天的不同时空尺度上研究了选择。种群和个体水平分析的结果不同。在种群水平上,我们发现生长季节对高于平均 NDVI 的选择。这可能表明对干旱草原景观中饲料覆盖更多的区域的选择。在冬季,羚羊选择了中等积雪,这可能表明它们更喜欢提供一些水合作用的雪的区域,但又不会阻碍移动。在个体水平上,在两个季节和所有尺度上,我们都无法在大多数个体中检测到选择,但选择与那些表现出选择的个体的 RSF 相似。在 SSF 中很难发现选择可能表明蒙古羚羊正在使用随机搜索策略在具有大面积均匀植被的景观中寻找饲料。因此,随机搜索和景观特征的组合可能会掩盖 SSF 中细粒度的结果。用于种群水平 RSF 的更广泛尺度上的显著结果强调,尽管个体表现出不协调的运动轨迹,但它们最终会选择相似的植被和积雪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e663/7880454/769da832326e/pone.0246809.g001.jpg

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