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Title (Primary) Synthesizing tree biodiversity data to understand global patterns and processes of vegetation
Author Keppel, G.; Craven, D.; Weigelt, P.; Smith, S.A.; van der Sande, M.T.; Sandel, B.; Levin, S.C.; Kreft, H.; Knight, T.M.;
Journal Journal of Vegetation Science
Year 2021
Department BZF; iDiv;
Volume 32
Issue 3
Language englisch;
Supplements https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fjvs.13021&file=jvs13021-sup-0001-Supinfo.docx
Keywords biodiversity, biological databases, conservation, data integration and synthesis, forests, functional traits, IUCN Red List, macroecology, species distribution, tree diversity, vegetation, woodlands


Trees dominate the biomass in many ecosystems and are essential for ecosystem functioning and human well‐being. They are also one of the best studied functional groups of plants, with vast amounts of biodiversity data available in scattered sources. We here aim to illustrate that an efficient integration of this data could produce a more holistic understanding of vegetation.


To assess the extent of potential data integration, we use key databases of plant biodiversity to 1) obtain a list of tree species and their distributions, 2) identify coverage and gaps of different aspects of tree biodiversity data, and 3) discuss large‐scale patterns of tree biodiversity in relation to vegetation.


Our global list of trees included 58,044 species. Taxonomic coverage varies in three key databases, with data on the distribution, functional traits, and molecular sequences for about 84%, 45% and 44% of all tree species, which is > 10% greater than for plants overall. For 28% of all tree species, data are available in all three databases. However, less data are digitally accessible about the demography, ecological interactions, and socio‐economic role of tree species. Integrating and imputing existing tree biodiversity data, mobilization of non‐digitized resources and targeted data collection, especially in tropical countries, could help closing some of the remaining data gaps.


Due to their key ecosystem roles and having large amounts of accessible data, trees are a good model group for understanding vegetation patterns. Indeed, tree biodiversity data are already beginning to elucidate the community dynamics, functional diversity, evolutionary history and ecological interactions of vegetation, with great potential for future applications. An interoperable and openly accessible framework linking various databases would greatly benefit future macroecological studies, and should be linked to a platform that makes information readily accessible to end users in biodiversity conservation and management.

ID 24502
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24502
Keppel, G., Craven, D., Weigelt, P., Smith, S.A., van der Sande, M.T., Sandel, B., Levin, S.C., Kreft, H., Knight, T.M. (2021):
Synthesizing tree biodiversity data to understand global patterns and processes of vegetation
J. Veg. Sci. 32 (3), e13021