首页> 外文期刊>Oikos: A Journal of Ecology >Using habitat selection theories to predict the spatiotemporal distribution of migratory birds during stopover - a case study of pink-footed geese Anser brachyrhynchus
【24h】

Using habitat selection theories to predict the spatiotemporal distribution of migratory birds during stopover - a case study of pink-footed geese Anser brachyrhynchus

机译:使用栖息地选择理论预测中途停留期间候鸟的时空分布-以粉红色雁雁Anser brachyrhynchus为例

获取原文
获取原文并翻译 | 示例
           

摘要

Understanding how animals select for habitat and foraging resources therein is a crucial component of basic and applied ecology. The selection process is typically influenced by a variety of environmental conditions including the spatial and temporal variation in the quantity and quality of food resources, predation or disturbance risks, and inter-and intraspecific competition. Indeed, some of the most commonly employed ecological theories used to describe how animals choose foraging sites are: nutrient intake maximisation, density-dependent habitat selection, central-place foraging, and predation risk effects. Even though these theories are not mutually exclusive, rarely are multiple theoretical models considered concomitantly to assess which theory, or combination thereof, best predicts observed changes in habitat selection over space and time. Here, we tested which of the above theories best-predicted habitat selection of Svalbard-breeding pink-footed geese at their main spring migration stopover site in mid-Norway by computing a series of resource selection functions (RSFs) and their predictive ability (k-fold cross validation scores). At this stopover site geese fuel intensively as a preparation for breeding and further migration. We found that the predation risk model and a combination of the density-dependent and central-place foraging models best-predicted habitat selection during stopover as geese selected for larger fields where predation risk is typically lower and selection for foraging sites changed as a function of both distance to the roost site (i.e. central-place) and changes in local density. In contrast to many other studies, the nutritional value of the available food resources did not appear to be a major limiting factor as geese used different food resources proportional to their availability. Our study shows that in an agricultural landscape where nutritional value of food resources is homogeneously high and resource availability changes rapidly; foraging behaviour of geese is largely a tradeoff between fast refuelling and disturbance/predator avoidance.
机译:了解动物如何选择栖息地并在其中觅食是基本和应用生态学的重要组成部分。选择过程通常受到各种环境条件的影响,包括粮食资源数量和质量的时空变化,掠食或干扰风险以及种间和种内竞争。确实,用于描述动物如何选择觅食地点的一些最常用的生态学理论是:营养摄入最大化,密度依赖的生境选择,中心地觅食和捕食风险影响。即使这些理论不是相互排斥的,但很少会同时考虑使用多种理论模型来评估哪种理论或它们的组合能最好地预测观察到的生境选择随时间和空间的变化。在这里,我们通过计算一系列资源选择函数(RSF)及其预测能力(k),测试了上述理论中哪一个最能预测挪威斯瓦尔巴特群岛粉红脚鹅在其春季迁徙中途停留地点的栖息地选择折交叉验证分数)。在中途停留的地方,鹅会大量燃烧,为繁殖和进一步迁徙做准备。我们发现,捕食风险模型以及密度依赖型捕食模型和中心地觅食模型的组合可以最佳地预测中途停留期间的栖息地选择,因为鹅是为较大的田地选择的,捕食风险通常较低,觅食地点的选择随捕食能力的变化而变化。到栖息地的距离(即中心位置)和局部密度的变化。与许多其他研究相比,可用的食物资源的营养价值似乎不是主要的限制因素,因为鹅使用的食物资源与其获取的食物成正比。我们的研究表明,在农业环境中,粮食资源的营养价值均较高,资源可用性迅速变化。鹅的觅食行为主要是在快速加油和避免干扰/捕食者之间进行权衡。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号