Estimating probabilistic site‐specific species pools and dark diversity from co‐occurrence data-Reference-Cited by-同舟云学术

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Estimating probabilistic site‐specific species pools and dark diversity from co‐occurrence data

Published:2020-10-21 Issue:1 Volume:30 Page:316-326
ISSN:1466-822X
Container-title:Global Ecology and Biogeography
language:en
Short-container-title:Global Ecol. Biogeogr.

Author:

Carmona Carlos P.¹^ORCID,Pärtel Meelis¹^ORCID

Affiliation:

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

Funder

Eesti Teadusagentuur

European Regional Development Fund

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.13203

Reference42 articles.

1. Species co-occurrence analysis: pairwise versus matrix-level approaches

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

3. Environmental DNA illuminates the dark diversity of sharks

4. A novel method to predict dark diversity using unconstrained ordination analysis

5. Deriving site‐specific species pools from large databases

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1. Plants, fungi, and carabid beetles in temperate forests: both observed and dark diversity depend on habitat availability in space and time;Landscape Ecology;2024-08-15

2. Using a trait‐based dark diversity approach to evaluate natural recovery potential in forests;Restoration Ecology;2024-08-13

3. A roadmap to carefully select methods for dark‐diversity studies;Journal of Vegetation Science;2024-05

4. The importance of soil seed banks for biodiversity restoration in degraded grasslands;Folia Geobotanica;2024-03

5. Observed and dark diversity of plants’ life-forms are driven by climate and human impacts in a tropical dry forest;Biodiversity and Conservation;2024-01-27

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