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家域研究进展
引用本文:张晋东,Vanessa HULL,欧阳志云.家域研究进展[J].生态学报,2013,33(11):3269-3279.
作者姓名:张晋东  Vanessa HULL  欧阳志云
作者单位:1. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京100085;绵阳师范学院,绵阳621000
2. Center For Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48823, USA
3. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京,100085
基金项目:国家自然科学基金(40901289);国家重点基础研究发展计划973项目资助项目(2009CB421104);大熊猫国际合作资金项目"大熊猫巢域利用和活动规律形成的生态学机制研究"(SD0681);美国国家航天和宇宙航行局(NASA)资助项目;美国国家科学基金资助项目;城市与区域生态国家重点实验室专项基金资助项目(SKLURE2008-1);四川省教育厅项目(12ZB259)
摘    要:家域是动物行为学和保护生物学的重要概念之一,它在动物对资源环境的适应与选择,种群密度及社会关系等生态学过程研究中有着重要的作用.对家域的内涵、特征、估算方法(包括取样方法,样本含量,位点数据自相关,模型评价等)等方面进行阐述,总结了家域估算模型的发展过程及发展方向,评述了3种主要家域估算模型的优势与不足,并结合最新的理论和应用,对未来的研究方向提出建议.

关 键 词:家域  估算方法  利用分布  布朗桥模型
收稿时间:1/5/2012 12:00:00 AM
修稿时间:3/4/2013 12:00:00 AM

A review of home range studies
ZHANG Jindong,Vanessa HULL and OUYANG Zhiyun.A review of home range studies[J].Acta Ecologica Sinica,2013,33(11):3269-3279.
Authors:ZHANG Jindong  Vanessa HULL and OUYANG Zhiyun
Institution:State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;Mianyang Normal University, Mianyang 621000, China;Center For Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48823, USA;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Abstract:Home range is an important concept in animal behavior and conservation biology research, playing a key role in the study of ecological processes such as habitat selection, animal social interactions, and population density. This paper summarizes the historical development and latest advances in home range modeling. We discuss a variety of issues that should be addressed when estimating home range including sampling design considerations, sample size requirements, effects of autocorrelation, and evaluation of estimators. We assess the advantages and disadvantages of 3 main home range estimation approaches and subsequently summarize the research progress and future directions of home range modeling. In addition, we provide some suggestions for future research. This paper serves as a key reference for the latest theoretical advances and applications of home range modeling.
Keywords:home range  estimation methods  utilization distribution  Brownian Bridge model
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