Details zur Publikation
Kategorie Softwarepublikation
DOI 10.5281/zenodo.13914830
Lizenz creative commons licence
Titel (primär) MoBiodiv/mobr
Version v.3.0.1
Autor McGlinn, D.J.; Xiao, X.; May, F.; McGill, B.J.; Engel, T. ORCID logo ; Oliver, C.; Blowes, S.A.; Knight, T.; Purschke, O.; Gotelli, N.J.; Chase, J.M.
Quelle Zenodo
Erscheinungsjahr 2024
Department SIE; BioP
Topic T5 Future Landscapes
Abstract There is considerable interest in understanding patterns of β-diversity that measure the amount of change in species composition through space or time. Most hypotheses for β-diversity evoke nonrandom processes that generate spatial and temporal within-species aggregation; however, β-diversity can also be driven by random sampling processes. Here, we describe a framework based on rarefaction curves that quantifies the nonrandom contribution of species compositional differences across samples to β-diversity. We isolate the effect of within-species spatial or temporal aggregation on beta-diversity using a coverage standardized metric of β-diversity (βC). We demonstrate the utility of our framework using simulations and an empirical case study examining variation in avian species composition through space and time in engineered versus natural riparian areas. The primary strengths of our approach are that it provides an intuitive visual null model for expected patterns of biodiversity under random sampling that allows integrating analyses across α-, γ-, and β-scales. Importantly, the method can accommodate comparisons between communities with different species pool sizes, and it can be used to examine species turnover both within and between meta-communities.
Verknüpfte UFZ-Textpublikationen
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30636
McGlinn, D.J., Xiao, X., May, F., McGill, B.J., Engel, T., Oliver, C., Blowes, S.A., Knight, T., Purschke, O., Gotelli, N.J., Chase, J.M. (2024):
MoBiodiv/mobr
Version: v.3.0.1 Zenodo 10.5281/zenodo.13914830