Assessing sampling coverage of species distribution in biodiversity databases

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F19%3A43915939" target="_blank" >RIV/62156489:43210/19:43915939 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14310/19:00108126

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/jvs.12763" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/jvs.12763</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jvs.12763" target="_blank" >10.1111/jvs.12763</a>

Result language

angličtina

Original language name

Assessing sampling coverage of species distribution in biodiversity databases

Original language description

Aim: Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location: Europe. Methods: Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as background reference data to capture species geographic ranges and to derive species climatic niches. To quantify sampling coverage, we developed a box-counting method, the Dynamic Match Coefficient (DMC), which quantifies how much a set of occurrences of a given species matches with its geographic range or climatic niche. DMC is the area under the curve measuring the match between occurrence data and background reference (geographic range or climatic niche) across grids with variable resolution. High DMC values indicate good sampling coverage. We applied null models to compare observed DMC values with expectations from random distributions across species ranges and niches. Results: Comparisons with null models showed that, for most species, actual distributions within EVA are deviating from null model expectations and are more clumped than expected in both geographic and climatic space. Despite high interspecific variation, we found a positive relationship in DMC values between geographic and climatic space, but sampling coverage was in general more random across geographic space. Conclusion: Because DMC values are species-specific and most biodiversity databases are clearly biased in terms of sampling coverage of species occurrences, we recommend using DMC values as covariates in macro-ecological models that use species as the observation unit.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10611 - Plant sciences, botany

Project

<a href="/en/project/GX19-28491X" target="_blank" >GX19-28491X: Centre for European Vegetation Syntheses (CEVS)</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

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

Name of the periodical

Journal of Vegetation Science

ISSN

1100-9233

e-ISSN

—

Volume of the periodical

30

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

620-632

UT code for WoS article

000474629200004

EID of the result in the Scopus database

2-s2.0-85068184108