Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)-Reference-Cited by-同舟云学术

Fuzzy quantification of common and rare species in ecological communities (FuzzyQ)

Published:2021-03-19 Issue:6 Volume:12 Page:1070-1079
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Balbuena Juan A.¹^ORCID,Monlleó‐Borrull Clara¹,Llopis‐Belenguer Cristina¹^ORCID,Blasco‐Costa Isabel²³^ORCID,Sarabeev Volodimir L.⁴^ORCID,Morand Serge⁵⁶^ORCID

Affiliation:

1. Cavanilles Institute of Biodiversity and Evolutionary Biology University of Valencia Valencia Spain

2. Department of Invertebrates Natural History Museum of Geneva Geneva Switzerland

3. Department of Arctic and Marine Biology UiT The Arctic University of Norway Tromsø Norway

4. Department of Biology Zaporizhzhia National University Zhaporizhzhia Ukraine

5. Institut des Sciences de l'Evolution CNRS CC065 CIRAD ASTREUniversité de Montpellier Montpellier Cedex France

6. Faculty of Veterinary Technology Kasetsart University Bangkok Thailand

Funder

Narodowa Agencja Wymiany Akademickiej

Ministerio de Ciencia e Innovación

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13588

Reference45 articles.

1. The shape of terrestrial abundance distributions

2. Prevalence of multimodal species abundance distributions is linked to spatial and taxonomic breadth

3. Dominance and species co-occurrence in highly diverse ant communities: a test of the interstitial hypothesis and discovery of a three-tiered competition cascade

4. Reducing the arbitrary: fuzzy detection of microbial ecotones and ecosystems – focus on the pelagic environment

5. Code for fuzzy quantification of common and rare species in ecological communities (version v1.0);Balbuena J. A.;Zenodo,2021

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