Assessing sampling coverage of species distribution in biodiversity databases

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  • Maria Sporbert, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle‐Wittenberg, Halle, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Tyskland
  • Helge Bruelheide, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle‐Wittenberg, Halle, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Tyskland
  • Gunnar Seidler, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle‐Wittenberg, Halle, Tyskland
  • Petr Keil, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle‐Wittenberg, Halle, Institute of Computer Science/Biodiversity Synthesis, Martin Luther University Halle‐Wittenberg, Halle, Tyskland
  • Ute Jandt, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle‐Wittenberg, Halle, Tyskland
  • Gunnar Austrheim, Department of Natural History, University Museum Norwegian University of Science and Technology, Trondheim, Tyskland
  • Idoia Biurrun, Department of Plant Biology and Ecology, Faculty of Science and Technology, University of the Basque Country, Spanien
  • Juan Antonio Campos, Department of Plant Biology and Ecology, Faculty of Science and Technology, University of the Basque Country, Spanien
  • Andraž Čarni, Scientific Research Centre of the Slovenian Academy of Sciences and Arts, School for Viticulture and Enology, University of Nova Gorica, Nova Gorica, Slovenien
  • Milan Chytrý, Masaryk Univ, Masaryk University Brno, Dept Bot & Zool, Tjekkiet
  • János Csiky, Institute of Biology/Ecology, University of Pécs, Pécs
  • ,
  • Els De Bie, Research Institute for Nature and Forest, Belgien
  • Jürgen Dengler, University of Bayreuth, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Zurich University of Applied Sciences, Tyskland
  • Valentin Golub, Institute of Ecology of the Volga River Basin, Russian Academy of Sciences, Togliatti, Rusland
  • John-Arvid Grytnes, Department of Biology, University of Bergen, Norge
  • Adrian Indreica, Transilvania University of Braşov, Department of Silviculture, Rumænien
  • Florian Jansen, Faculty of Agricultural and Environmental Sciences, Rostock University, Tyskland
  • Martin Martin Jiroušek, Department of Botany and Zoology, Faculty of Science Masaryk University, Kotlářská 2, 61137 Brno, Department of Plant Biology, Faculty of AgriSciences, Mendel University, Brno, Tjekkiet
  • Jonathan Lenoir, Jules Verne University of Picardie, Frankrig
  • Miska Luoto, Department of Geosciences and Geography, University of Helsinki, Finland
  • Corrado Marceno, Univ Basque Country, University of Basque Country, UPV EHU, Dept Plant Biol & Ecol, Spanien
  • Jesper Erenskjold Moeslund
  • Aaron Pérez-Haase, Univ Barcelona, University of Barcelona, Dept Evolutionary Biol Ecol & Environm Sci, IRBio, Spanien
  • Solvita Rusina, Univ Latvia, University of Latvia, Fac Geog & Earth Sci, Letland
  • Vigdis Vandvik, Bergen University, Norge
  • Kiril Vassilev, Institute of Biodiversity and Ecosystem Research at the Bulgarian Academy of Sciences
  • ,
  • Erik Welk, University Halle-Wittenberg, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
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.
OriginalsprogEngelsk
TidsskriftJournal of Vegetation Science
Vol/bind30
Nummer4
Sider (fra-til)620-632
Antal sider13
ISSN1100-9233
DOI
StatusUdgivet - jul. 2019

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