Matrix-level co-occurrence metrics are sensitive to sampling grain: a case study in species-rich shrublands
Author:
Funder
Australian Research Council
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Ecology
Link
https://link.springer.com/content/pdf/10.1007/s11258-020-01063-8.pdf
Reference29 articles.
1. Arita HT (2017) Multisite and multispecies measures of overlap, co-occurrence, and co-diversity. Ecography 40:709–718. https://doi.org/10.1111/ecog.01942
2. Bar-Massada A, Yang Q, Shen G, Wang X (2018) Tree species co-occurrence patterns change across grains: insights from a subtropical forest. Ecosphere 9:e02213. https://doi.org/10.1002/ecs2.2213
3. Blanchet FG, Cazelles K, Gravel D (2020) Co-occurrence is not evidence of ecological interactions. Ecol Lett. https://doi.org/10.1111/ele.13525
4. Brazeau HA, Schamp BS (2019) Examining the link between competition and negative co-occurrence patterns. Oikos 128:1358–1366. https://doi.org/10.1111/oik.06054
5. Chase JM, McGill BJ, McGlinn DJ, May F, Blowes SA, Xiao X, Knight TM, Purschke O, Gotelli NJ (2018) Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities. Ecol Lett 21:1737–1751. https://doi.org/10.1111/ele.13151
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Revealing the palaeoecology of silent taxa: selecting proxy species from associations in modern vegetation data;Journal of Biogeography;2024-03
2. Diatom and macroinvertebrate communities dynamic: A co-occurrence pattern analysis on plastic substrates;Science of The Total Environment;2024-02
3. Diatom and macroinvertebrate communities dynamic: a co-occurrence pattern analysis on plastic substrates;2023-07-26
4. Diatom and Macroinvertebrate Communities Dynamic: A Co-Occurrence Pattern Analysis on Plastic Substrates;2023
5. Dealing with ‘the spectre of "spurious" correlations': hazards in comparing ratios and other derived variables with a randomization test to determine if a biological interpretation is justified;Oikos;2021-09-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3