Measuring size and composition of species pools: a comparison of dark diversity estimates

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F16%3A43890760" target="_blank" >RIV/60076658:12310/16:43890760 - isvavai.cz</a>

Alternative codes found

RIV/60077344:_____/16:00467059 RIV/67985939:_____/16:00467059 RIV/00216224:14310/16:00088319 RIV/60460709:41320/16:71172 and 2 more

Result on the web

<a href="http://onlinelibrary.wiley.com/doi/10.1002/ece3.2169/abstract;jsessionid=77B764CBC57E1D69BEEB27A4C640C356.f03t03" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1002/ece3.2169/abstract;jsessionid=77B764CBC57E1D69BEEB27A4C640C356.f03t03</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ece3.2169" target="_blank" >10.1002/ece3.2169</a>

Result language

angličtina

Original language name

Measuring size and composition of species pools: a comparison of dark diversity estimates

Original language description

Ecological theory and biodiversity conservation have traditionally relied on the number of species recorded at a site, but it is agreed that site richness represents only a portion of the species that can inhabit particular ecological conditions, that is, the habitat-specific species pool. Knowledge of the species pool at different sites enables meaningful comparisons of biodiversity and provides insights into processes of biodiversity formation. Empirical studies, however, are limited due to conceptual and methodological difficulties in determining both the size and composition of the absent part of species pools, the so-called dark diversity. We used >50,000 vegetation plots from 18 types of habitats throughout the Czech Republic, most of which served as a training dataset and 1083 as a subset of test sites. These data were used to compare predicted results from three quantitative methods with those of previously published expert estimates based on species habitat preferences: (1) species co-occurrence based on Beals' smoothing approach; (2) species ecological requirements, with envelopes around community mean Ellenberg values; and (3) species distribution models, using species environmental niches modeled by Biomod software. Dark diversity estimates were compared at both plot and habitat levels, and each method was applied in different configurations. While there were some differences in the results obtained by different methods, particularly at the plot level, there was a clear convergence, especially at the habitat level. The better convergence at the habitat level reflects less variation in local environmental conditions, whereas variation at the plot level is an effect of each particular method. The co-occurrence agreed closest the expert estimate, followed by the method based on species ecological requirements. We conclude that several analytical methods can estimate species pools of given habitats.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Ecology and Evolution

ISSN

2045-7758

e-ISSN

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Volume of the periodical

6

Issue of the periodical within the volume

12

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

4088-4101

UT code for WoS article

000379342900020

EID of the result in the Scopus database

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