Introducing recurrent event analyses to assess species interactions based on camera-trap data: A comparison with time-to-first-event approaches

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY
Nicolas Ferry, Pierre Dupont, Andreas Bender, Marco Heurich
{"title":"Introducing recurrent event analyses to assess species interactions based on camera-trap data: A comparison with time-to-first-event approaches","authors":"Nicolas Ferry,&nbsp;Pierre Dupont,&nbsp;Andreas Bender,&nbsp;Marco Heurich","doi":"10.1111/2041-210X.14338","DOIUrl":null,"url":null,"abstract":"<p>\n \n </p>","PeriodicalId":208,"journal":{"name":"Methods in Ecology and Evolution","volume":"15 7","pages":"1233-1246"},"PeriodicalIF":6.3000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14338","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in Ecology and Evolution","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.14338","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Image

根据相机捕获数据引入经常性事件分析,以评估物种间的相互作用:与首次事件时间法的比较
相机捕获调查越来越多地用于评估物种间的相互作用,越来越多地关注近似共现,即在给定时间窗口内一个物种在另一个物种之后出现的条件概率。然而,现有的时间-首次事件模型(通常用于此目的)存在多种局限性。例如,它们不能完全量化相互作用的强度,即一种物种对另一种物种出现概率的影响有多强,也不能量化这种影响的持续时间,更不能确定相互作用的方向性。我们建议从递归事件分析的角度来重构这个问题,这样就能利用丰富的技术来提供更多有关数据生成过程的信息。特别是,我们使用片断指数加法混合模型(PAMM)来考虑所有可用信息(包括物种的重复出现),并估计一个物种在另一个物种出现后的访问率的非线性时间动态。我们通过模拟研究评估了 PAMM 在估计物种相互作用方面的性能,模拟研究涉及两个物种在不同的吸引或排斥情况下,有无不完全检测。此外,我们还将 PAMM 与照相机捕捉研究中常用的六种首次事件时间法进行了比较,并用实际数据说明了其应用情况。PAMMs 的稳健表现凸显了其作为基于相机捕获数据研究物种相互作用的重要工具的潜力。为了促进其应用,我们推出了新的软件包 ctrecurrent,并提供了从数据准备到模型拟合的可重现工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信