A novel method to predict dark diversity using unconstrained ordination analysis-Reference-Cited by-同舟云学术

A novel method to predict dark diversity using unconstrained ordination analysis

Published:2019-05-22 Issue:4 Volume:30 Page:610-619
ISSN:1100-9233
Container-title:Journal of Vegetation Science
language:en
Short-container-title:J Veg Sci

Author:

Brown Joel J.¹²^ORCID,Mennicken Sophie¹,Massante Jhonny C.³,Dijoux Samuel¹²,Telea Alexandra⁴,Benedek Ana M.⁵,Götzenberger Lars⁶,Májeková Maria¹⁷,Lepš Jan¹²^ORCID,Šmilauer Petr¹,Hrček Jan¹²,de Bello Francesco¹⁸

Affiliation:

1. Faculty of Science University of South Bohemia České Budějovice Czech Republic

2. Institute of Entomology Biology Centre of the Czech Academy of Sciences České Budějovice Czech Republic

3. Institute of Ecology and Earth Sciences University of Tartu Tartu Estonia

4. Faculty of Natural and Agricultural Sciences Ovidius University of Constanța Constanța Romania

5. Applied Ecology Research Center Faculty of Sciences Lucian Blaga University of Sibiu Sibiu Romania

6. Institute of Botany Czech Academy of Sciences Trebon Czech Republic

7. Institute of Evolution and Ecology University of Tübingen Tübingen Germany

8. CIDE‐CSIC, C. Naquera Montcada, Valencia Spain

Funder

Akademie Věd České Republiky

Grantová Agentura České Republiky

Publisher

Wiley

Subject

Plant Science,Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jvs.12757

Reference33 articles.

1. Bray-Curtis Ordination: An Effective Strategy for Analysis of Multivariate Ecological Data

2. Introducing the biogeographic species pool

3. Czech National Phytosociological Database

4. Plot sizes used for phytosociological sampling of European vegetation

5. What Are Species Pools and When Are They Important?

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