| SPORBERT, Maria, Helge BRUELHEIDE, Gunnar SEIDLER, Petr KEIL, Ute JANDT, Gunnar AUSTRHEIM, Idoia BIURRUN, Juan Antonio CAMPOS, Andraž ČARNI, Milan CHYTRÝ, János CSIKY, Els DE BIE, Jürgen DENGLER, Valentin GOLUB, John‐Arvid GRYTNE, Adrian INDREICA, Florian JANSEN, Martin JIROUŠEK, Jonathan LENOIR, Miska LUOTO, Corrado MARCENÒ, Jesper Erenskjold MOESLUND, Aaron PÉREZ‐HAASE, Solvita RŪSIŅA, Vigdis VANDVIK, Kiril VASSILEV and Erik WELK. Assessing sampling coverage of species distribution in biodiversity databases. Journal of Vegetation Science. Hoboken, USA: Wiley-Blackwell, 2019, vol. 30, No 4, p. 620-632. ISSN 1100-9233. Available from: https://dx.doi.org/10.1111/jvs.12763. |
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@article{1612567,
author = {Sporbert, Maria and Bruelheide, Helge and Seidler, Gunnar and Keil, Petr and Jandt, Ute and Austrheim, Gunnar and Biurrun, Idoia and Campos, Juan Antonio and Čarni, Andraž and Chytrý, Milan and Csiky, János and De Bie, Els and Dengler, Jürgen and Golub, Valentin and Grytne, John‐Arvid and Indreica, Adrian and Jansen, Florian and Jiroušek, Martin and Lenoir, Jonathan and Luoto, Miska and Marcenò, Corrado and Moeslund, Jesper Erenskjold and Pérez‐Haase, Aaron and Rūsiņa, Solvita and Vandvik, Vigdis and Vassilev, Kiril and Welk, Erik},
article_location = {Hoboken, USA},
article_number = {4},
doi = {http://dx.doi.org/10.1111/jvs.12763},
keywords = {Chorological Database Halle (CDH); climatic niche; Dynamic Match Coefficient (DMC); European Vegetation Archive (EVA); macro-ecology; multi-scale; realized niche; sampling bias; spatial scale; species range; vascular plant; vegetation plot databases},
language = {eng},
issn = {1100-9233},
journal = {Journal of Vegetation Science},
title = {Assessing sampling coverage of species distribution in biodiversity databases},
url = {https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12763},
volume = {30},
year = {2019}
}
TY - JOUR
ID - 1612567
AU - 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 - Grytne, 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
PY - 2019
TI - Assessing sampling coverage of species distribution in biodiversity databases
JF - Journal of Vegetation Science
VL - 30
IS - 4
SP - 620-632
EP - 620-632
PB - Wiley-Blackwell
SN - 11009233
KW - Chorological Database Halle (CDH)
KW - climatic niche
KW - Dynamic Match Coefficient (DMC)
KW - European Vegetation Archive (EVA)
KW - macro-ecology
KW - multi-scale
KW - realized niche
KW - sampling bias
KW - spatial scale
KW - species range
KW - vascular plant
KW - vegetation plot databases
UR - https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12763
L2 - https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12763
N2 - 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.
ER -
SPORBERT, Maria, Helge BRUELHEIDE, Gunnar SEIDLER, Petr KEIL, Ute JANDT, Gunnar AUSTRHEIM, Idoia BIURRUN, Juan Antonio CAMPOS, Andraž ČARNI, Milan CHYTRÝ, János CSIKY, Els DE BIE, Jürgen DENGLER, Valentin GOLUB, John‐Arvid GRYTNE, Adrian INDREICA, Florian JANSEN, Martin JIROUŠEK, Jonathan LENOIR, Miska LUOTO, Corrado MARCENÒ, Jesper Erenskjold MOESLUND, Aaron PÉREZ‐HAASE, Solvita RŪSIŅA, Vigdis VANDVIK, Kiril VASSILEV and Erik WELK. Assessing sampling coverage of species distribution in biodiversity databases. \textit{Journal of Vegetation Science}. Hoboken, USA: Wiley-Blackwell, 2019, vol.~30, No~4, p.~620-632. ISSN~1100-9233. Available from: https://dx.doi.org/10.1111/jvs.12763.
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