spAbundance: An R package for single-species and multi-species spatially explicit abundance models

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-05-10 DOI:10.1111/2041-210X.14332
Jeffrey W. Doser, Andrew O. Finley, Marc Kéry, Elise F. Zipkin
{"title":"spAbundance: An R package for single-species and multi-species spatially explicit abundance models","authors":"Jeffrey W. Doser,&nbsp;Andrew O. Finley,&nbsp;Marc Kéry,&nbsp;Elise F. Zipkin","doi":"10.1111/2041-210X.14332","DOIUrl":null,"url":null,"abstract":"<p>\n \n </p>","PeriodicalId":208,"journal":{"name":"Methods in Ecology and Evolution","volume":"15 6","pages":"1024-1033"},"PeriodicalIF":6.3000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14332","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.14332","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

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
spAbundance:用于单物种和多物种空间显式丰度模型的 R 软件包
有许多建模技术可用于估算动植物种群的丰度。最准确的方法能考虑生态数据中的多种复杂因素,如观测偏差、空间自相关性和物种相关性。然而,目前缺乏用户友好且计算效率高的软件来实现各种模型,尤其是针对大型数据集。我们开发了 spAbundance R 软件包,用于拟合空间明确的贝叶斯单物种和多物种分层距离采样模型、N 混合物模型和广义线性混合模型。该软件包中的模型可以利用近邻高斯过程(Nearest Neighbour Gaussian Processes)考虑空间自相关性,并利用潜在因子方法在多物种模型中考虑物种相关性,从而可以对具有大量地点和/或物种的数据集进行模型拟合。我们提供了三个小故事和三个案例研究,以突出 spAbundance 的功能。我们使用空间显式多物种距离采样模型估算了美国佛罗里达州 16 种鸟类的密度,使用 N 混合模型估算了美国新罕布什尔州黑喉蓝莺(Setophaga caerulescens)的丰度,并使用空间线性混合模型估算了美国大陆森林地上生物量。该软件包可作为生态学家和保护工作者的有用工具,用于改进对种群和群落丰度空间驱动因素的推断和预测。
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 去求助
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.
期刊最新文献
Cover Picture and Issue Information Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery Spatially explicit predictions using spatial eigenvector maps SimpleMetaPipeline: Breaking the bioinformatics bottleneck in metabarcoding A LiDAR-driven pruning algorithm to delineate canopy drainage areas of stemflow and throughfall drip points
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1