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全球定位系统移动数据的生态指标与方法

Ecological metrics and methods for GPS movement data.

作者信息

Seidel Dana Paige, Dougherty Eric, Carlson Colin, Getz Wayne M

机构信息

Department of Environmental Science, Policy, & Management, University of California, Berkeley.

National Socio-Environmental Synthesis Center, University of Maryland, Annapolis, MD 21401, USA.

出版信息

Int J Geogr Inf Sci. 2018;32(11):2272-2293. doi: 10.1080/13658816.2018.1498097. Epub 2018 Jul 23.

Abstract

The growing field of movement ecology uses high resolution movement data to analyze animal behavior across multiple scales: from individual foraging decisions to population-level space-use patterns. These analyses contribute to various subfields of ecology- behavioral, disease, landscape, resource, and wildlife-and facilitate facilitate novel exploration in fields ranging from conservation planning to public health. Despite the growing availability and general accessibility of animal movement data, much potential remains for the analytical methods of movement ecology to be incorporated in all types of geographic analyses. This review provides for the Geographical Information Sciences (GIS) community an overview of the most common movement metrics and methods of analysis employed by animal ecologists. Through illustrative applications, we emphasize the potential for movement analyses to promote transdisciplinary GIS/wildlife-ecology research.

摘要

运动生态学这一不断发展的领域利用高分辨率运动数据来分析动物在多个尺度上的行为

从个体觅食决策到种群水平的空间利用模式。这些分析为生态学的各个子领域做出了贡献——行为、疾病、景观、资源和野生动物领域——并促进了从保护规划到公共卫生等领域的新探索。尽管动物运动数据的可用性不断提高且普遍易于获取,但运动生态学的分析方法在各类地理分析中得到应用的潜力仍然很大。本综述为地理信息科学(GIS)社区概述了动物生态学家使用的最常见运动指标和分析方法。通过实例应用,我们强调了运动分析促进跨学科GIS/野生动物生态学研究的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e2e/6322554/9835f6f37eb0/nihms-1515694-f0001.jpg

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