ArticlePLoS biology2019
Biodiversity data integration-the significance of data resolution and domain.
Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
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- Bi-decadal trends in land cover and ecological dynamics across the Korean Peninsula with implications for sustainable development.Scientific reports · 2025Article
- Species richness variation in marine and terrestrial fauna across widespread, fragmented territories: assessing inherent challenges of data scarcity at local and regional scales.Scientific reports · 2025Article
- Estimating Rooting Depth From Herbarium Specimens Might Be More Accurate Than Using Large Trait Databases.Ecology and evolution · 2025Article
- Island Plant Species Distributions Contracted at the Cooler Edge Compared to Mainland.Ecology letters · 2025Article
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- Using biodiversity features to promote an Ecosystem-Based Conservation framework in terrestrial ecosystems.PloS one · 2025Article
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- Predicting undetected native vascular plant diversity at a global scale.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- ARAapp: filling gaps in the ecological knowledge of spiders using an automated and dynamic approach to analyze systematically collected community data.Database : the journal of biological databases and curation · 2024Article
- PhyloSophos: a high-throughput scientific name mapping algorithm augmented with explicit consideration of taxonomic science, and its application on natural product (NP) occurrence database processing.BMC bioinformatics · 2023Article
- Exploring the impact of data curation criteria on the observed geographical distribution of mosses.Ecology and evolution · 2023Article
- Challenges and directions in analytical paleobiology.Paleobiology · 2023Article
- Recent advances in availability and synthesis of the economic costs of biological invasions.Bioscience · 2023Article
- Article
- A quixotic view of spatial bias in modelling the distribution of species and their diversity.npj biodiversity · 2023Review
- A review of the International Seabed Authority database DeepData from a biological perspective: challenges and opportunities in the UN Ocean Decade.Database : the journal of biological databases and curation · 2023Review
- Untargeted Metabolomics for Integrative Taxonomy: Metabolomics, DNA Marker-Based Sequencing, and Phenotype Bioimaging.Plants (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.