Biodiversity data integration—the significance of data resolution and domain

2019 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​König, Christian, Patrick Weigelt, Julian Schrader, Amanda Taylor, Jens Kattge, and Holger Kreft. "Biodiversity data integration—the significance of data resolution and domain​." ​PLOS Biology ​17, no. 3 (2019): ​e3000183​. ​

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König, Christian; Weigelt, Patrick ; Schrader, Julian; Taylor, Amanda; Kattge, Jens; Kreft, Holger 
ecent years have seen an explosion in the availability of biodiversity data describing the distribution, function, and evolutionary history of life on earth. Integrating these heterogeneous data remains a challenge due to large variations in observational scales, collection purposes, and terminologies. Here, we conceptualize widely used biodiversity data types according to their domain (what aspect of biodiversity is described?) and informational resolution (how specific is the description?). Applying this framework to major data providers in biodiversity research reveals a strong focus on the disaggregated end of the data spectrum, whereas aggregated data types remain largely underutilized. We discuss the implications of this imbalance for the scope and representativeness of current macroecological research and highlight the synergies arising from a tighter integration of biodiversity data across domains and resolutions. We lay out effective strategies for data collection, mobilization, imputation, and sharing and summarize existing frameworks for scalable and integrative biodiversity research. Finally, we use two case studies to demonstrate how the explicit consideration of data domain and resolution helps to identify biases and gaps in global data sets and achieve unprecedented taxonomic and geographical data coverage in macroecological analyses.
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PLOS Biology 
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Biodiversität, Makroökologie und Biogeographie 



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