ReviewNature ecology & evolution2021
Priority list of biodiversity metrics to observe from space.
Review in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 264 citations in OpenAlex.
- Beyond unit-level certification: An operational agenda for biodiversity-positive tropical production landscapes.iScience · 2026Review
- Functional group classification using consensus clustering.PLoS computational biology · 2026Article
- Accelerated north-east shift of the global green wave trajectory.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Five rules for scientifically credible nature markets.Nature ecology & evolution · 2026Review
- Uncovering the spatio-temporal patterns and drivers of 30 years of greening in South UK landscapes.Landscape ecology · 2026Article
- Narrowing farmland biodiversity knowledge gaps with Digital Agriculture.NPJ sustainable agriculture · 2026Review
- Environmental DNA (eDNA) Technology in Biodiversity and Ecosystem Health Research: Advances and Prospects.Ecology and evolution · 2026Review
- Spectral biology across scales in changing environments.Ecology · 2025Review
- The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science.npj biodiversity · 2025Review
- Science and technical priorities for private sector action to address biodiversity loss.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Landscape-scale variation in the canopy mycobiome in temperate beech and spruce forest stands explained by leaf water content and elevation.European journal of forest research · 2025Article
- Ground-lying deadwood volume promotes soil beta diversity but not alpha diversity in European temperate forests.Plant and soil · 2025Article
- LiPheStream - A 18-month high spatiotemporal resolution point cloud time series of Boreal trees from Finland.Scientific data · 2024Article
- Mapping temperate old-growth forests in Central Europe using ALS and Sentinel-2A multispectral data.Environmental monitoring and assessment · 2024Article
- Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction.Scientific reports · 2024Article
- Disentangling linkages between satellite-derived indicators of forest structure and productivity for ecosystem monitoring.Scientific reports · 2024Article
- Monitoring vegetation- and geodiversity with remote sensing and traits.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024Review
- Six Steps towards a Spatial Design for Large-Scale Pollinator Surveillance Monitoring.Insects · 2024Article
- Integrating field- and remote sensing data to perceive species heterogeneity across a climate gradient.Scientific reports · 2024Article
- Article
Corrections and comments
- Commented on by
- Erratum issued
- Erratum issued
- Erratum issued
Authors and funding
32 authors at 20 institutions in 14 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring global biodiversity from space through remotely sensing geospatial patterns has high potential to add to our knowledge acquired by field observation. Although a framework of essential biodiversity variables (EBVs) is emerging for monitoring biodiversity, its poor alignment with remote sensing products hinders interpolation between field observations. This study compiles a comprehensive, prioritized list of remote sensing biodiversity products that can further improve the monitoring of geospatial biodiversity patterns, enhancing the EBV framework and its applicability. The ecosystem structure and ecosystem function EBV classes, which capture the biological effects of disturbance as well as habitat structure, are shown by an expert review process to be the most relevant, feasible, accurate and mature for direct monitoring of biodiversity from satellites. Biodiversity products that require satellite remote sensing of a finer resolution that is still under development are given lower priority (for example, for the EBV class species traits). Some EBVs are not directly measurable by remote sensing from space, specifically the EBV class genetic composition. Linking remote sensing products to EBVs will accelerate product generation, improving reporting on the state of biodiversity from local to global scales.
Indexed as
Identifiers
What OpenQuestion holds
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.