Methods for assessing movement path recursion with application to African buffalo in South Africa.

Methods for assessing movement path recursion with application to African buffalo in South Africa.
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DOI:
10.1890/08-1532.1
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发表时间:
2009-09
期刊:
影响因子:
4.8
通讯作者:
Getz WM
Getz WM
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Bar-David S;Bar-David I;Cross PC;Ryan SJ;Knechtel CU;Getz WM

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监测动物运动的自动化方法的最新发展,例如全球定位系统(GPS)技术,产生了高分辨率的时空数据。为了深入了解创建移动模式的过程,我们提出了两种新技术,用于在重复访问特定站点或补丁时从这些数据中提取信息(“递归”)。这种斑块的识别和递归路径的量化,与斑块相关的生态数据相结合,应有助于我们理解大型草食动物的栖息地要求、决定其空间利用模式的因素以及它们与生态系统的相互作用。我们首先介绍一个简单的空间模型的输出,该模型基于最小的参数模拟大型食草动物群体的运动:资源可用性和局部枯竭后的资源恢复速度。然后,我们介绍了我们的新分析技术的细节(递归分析和圆分析),并将它们应用于我们的模型生成的数据,以及关于非洲水牛(Syncerus Caffer)运动的两组经验数据:第一组在Klaserie私人自然保护区收集,第二组在南非克鲁格国家公园收集。我们对模型输出的递归分析为我们提供了一个基础,用于推断管理水牛递归模式生产的过程的各个方面,特别是资源回收率的潜在影响。虽然我们的模拟重点是不同资源回收率产生的运动模式的比较,但我们在文章结束时全面讨论了当可用适当的生态数据来阐明影响运动的各种因素时,如何使用递归分析。除其他外,这些因素包括各种有限和优先的资源、寄生虫以及地形和景观因素。
Recent developments of automated methods for monitoring animal movement, e.g., global positioning systems (GPS) technology, yield high-resolution spatiotemporal data. To gain insights into the processes creating movement patterns, we present two new techniques for extracting information from these data on repeated visits to a particular site or patch (“recursions”). Identification of such patches and quantification of recursion pathways, when combined with patch-related ecological data, should contribute to our understanding of the habitat requirements of large herbivores, of factors governing their space-use patterns, and their interactions with the ecosystem. We begin by presenting output from a simple spatial model that simulates movements of large-herbivore groups based on minimal parameters: resource availability and rates of resource recovery after a local depletion. We then present the details of our new techniques of analyses (recursion analysis and circle analysis) and apply them to data generated by our model, as well as two sets of empirical data on movements of African buffalo (Syncerus caffer): the first collected in Klaserie Private Nature Reserve and the second in Kruger National Park, South Africa. Our recursion analyses of model outputs provide us with a basis for inferring aspects of the processes governing the production of buffalo recursion patterns, particularly the potential influence of resource recovery rate. Although the focus of our simulations was a comparison of movement patterns produced by different resource recovery rates, we conclude our paper with a comprehensive discussion of how recursion analyses can be used when appropriate ecological data are available to elucidate various factors influencing movement. Inter alia, these include the various limiting and preferred resources, parasites, and topographical and landscape factors.
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