Assessing sampling coverage of species distribution in biodiversity databases

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Sporbert , M , Bruelheide , H , Seidler , G , Keil , P , Jandt , U , Austrheim , G , Biurrun , I , Campos , J A , Čarni , A , Chytrý , M , Csiky , J , De Bie , E , Dengler , J , Golub , V , Grytnes , J-A , Indreica , A , Jansen , F , Jiroušek , M , Lenoir , J , Luoto , M , Marcenò , C , Moeslund , J E , Pérez-Haase , A , Rūsiņa , S , Vandvik , V , Vassilev , K & Welk , E 2019 , ' Assessing sampling coverage of species distribution in biodiversity databases ' , Journal of Vegetation Science , vol. 30 , no. 4 , pp. 620-632 .

Title: Assessing sampling coverage of species distribution in biodiversity databases
Author: Sporbert, Maria; Bruelheide, Helge; Seidler, Gunnar; Keil, Petr; Jandt, Ute; Austrheim, Gunnar; Biurrun, Idoia; Campos, Juan Antonio; Čarni, Andraž; Chytrý, Milan; Csiky, János; De Bie, Els; Dengler, Jürgen; Golub, Valentin; Grytnes, John-Arvid; Indreica, Adrian; Jansen, Florian; Jiroušek, Martin; Lenoir, Jonathan; Luoto, Miska; Marcenò, Corrado; Moeslund, Jesper Erenskjold; Pérez-Haase, Aaron; Rūsiņa, Solvita; Vandvik, Vigdis; Vassilev, Kiril; Welk, Erik
Contributor organization: Department of Geosciences and Geography
Helsinki Institute of Sustainability Science (HELSUS)
BioGeoClimate Modelling Lab
Date: 2019-07
Language: eng
Number of pages: 13
Belongs to series: Journal of Vegetation Science
ISSN: 1100-9233
Abstract: Abstract 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 macroecological models that use species as the observation unit. This article is protected by copyright. All rights reserved.
Subject: Chorological Database Halle (CDH)
climatic niche
Dynamic Match Coefficient (DMC)
European Vegetation Archive (EVA)
realized niche
sampling bias
spatial scale
species range
vascular plant
vegetation-plot databases
1181 Ecology, evolutionary biology
Peer reviewed: Yes
Rights: unspecified
Usage restriction: openAccess
Self-archived version: acceptedVersion

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