Reports · GCRI · Established
Biodiversity and nature · Climate and hazards · Oceans and coasts
Biodiversity Nexus in Reports
Ecosystem integrity, biodiversity loss and nature-related risks to human and economic systems. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 2
- Systems
- 3
- Methods
- 8
What this area brings to the editions.
Ecosystem integrity, biodiversity loss and nature-related risks to human and economic systems.
Biodiversity Nexus on the map.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Habitat condition, for this page
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- MODIS Terra EVI (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite index; clouds leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 250 m grid
- Uncertainty
- Satellite vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest 8-day period GIBS publishes)
- Source
- MODIS Aqua GPP (MYD17) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- 8-day; Satellite-driven model; latest 8-day period GIBS publishes
- Newest at build
- 2026-09-30
- Resolution
- about 500 m grid
- Uncertainty
- Model estimate of carbon taken up by plants over the 8-day period shown; an indicator of growth, not harvest or production.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds and overpass timing leave gaps)
- Source
- VIIRS NOAA-20 375 m (FIRMS) (NASA LANCE FIRMS)
- Provider
- NASA LANCE FIRMS
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds and overpass timing leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 500 m grid
- Uncertainty
- Satellite hot-spot detections for the day shown, including gas flares and industrial heat; not a confirmed fire, an incident report or a warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- static product; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
Habitat condition, framed on the Amazon Basin.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERT
Sources and licences
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Optional layers (7 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
- Gross primary production, 8-day total: MODIS Aqua GPP (MYD17), NASA LP DAAC · 30 Sep 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
9 findings of the drafted editions that bear on Biodiversity Nexus.
Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREUnited Arab EmiratesNet greenhouse-gas emissions were 195.2 Mt CO₂e in 2022 including land use, 0.8% below 2019; energy gave 164.1 Mt, industrial processes 29.6 Mt and waste 5.6 Mt, and land use removed 6.6 Mt.REPORTED · COUNTRY-ARE-CLI-001
- ARGArgentinaThe national inventory reports 400.9 MtCO₂e including land use for 2022, and 377.8 MtCO₂e net on the climate-contribution basis.REPORTED · COUNTRY-ARG-CLI-001
- AUAfrican UnionIn 2024, 32.4% of people used safely managed drinking water and 25.9% used safely managed sanitation; withdrawals were 3.4% of internal resources in 2022 on average.REPORTED · COUNTRY-AU-WAT-007
- AUSAustraliaGreenhouse-gas emissions excluding land use were 591.5 Mt CO₂e in 2024, against 605.2 Mt in 2019 and 579.5 Mt in 2020.REPORTED · COUNTRY-AUS-CLI-001
- BRABrazilGross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, led by lower land-use change; net emissions were 1.49 Gt CO₂e. SEEG is a civil-society estimate, not the official inventory.REPORTED · COUNTRY-BRA-CLI-001
- CHESwitzerlandGreenhouse-gas emissions were 40.1 MtCO₂e in 2024, 27.3% below 1990 and 22.3% below when land use is included; transport emitted 13.4 MtCO₂e and international aviation and maritime a further 5.5 MtCO₂e outside the 2030 target.REPORTED · COUNTRY-CHE-CLI-001
- CHNChinaThe national mean temperature was 10.9 °C in 2025, 1.0 °C above the 1991 to 2020 normal and tied with 2024 as the highest since 1951; hot days averaged 16.5, the most since 1961.REPORTED · COUNTRY-CHN-CLI-001
- EUEuropean UnionNet domestic greenhouse-gas emissions were 40% below 1990 in 2024 and 3% below 2023; on the 2030 target basis the cut was 37%.REPORTED · COUNTRY-EU-CLI-001
- GS-02Global EnergyEnergy-related CO2 emissions rose about 0.4% in 2025 to a record of more than 38 Gt.REPORTED · SECTOR-ENERGY-GLOBAL-CLI-004
From Foundry evidence to the series.
The evidence, step by step, from the systems this area reads to the series it feeds.
How Biodiversity Nexus reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Biodiversity Nexus reads NXS-EOP (earth observation and digital twins) and The Global Risks Index (NXS-GRX): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Ecology and biodiversity science and Earth observation and remote sensing turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Global Sector Risk and Resilience and Observatory Signal, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Biodiversity Nexus in Reports (2026); Biodiversity Nexus home (2026).
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Global Sector Risk and Resilience | NXS-GRX one sector’s structure, dependencies and concentration measures NXS-EOP observed change in the sector’s assets and their surroundings | Trade, supply chains and geoeconomics Critical infrastructure and lifelines | Global Sector Risk and Resilience series home |
| Observatory Signal | NXS-OPS (instruments, sensors and calibration) calibrated primary observations and their uncertainty budgets NXS-EWS (multi-hazard monitoring and warning) whether an anomaly was forecast and how well NXS-EOP observational change products that corroborate a signal NXS-SIG spectrum and timing anomalies that affect dependent services | Geospatial analysis, Earth observation and GeoAI Climate science, variability and change Space systems, space weather and navigation | Observatory Signal series home |
The systems, methods and teaching behind it.
- NXS-EOPNXS-EOPNXS-EOPRooms: Acquisition, Change.
- NXS-GRXNXS-GRXNXS-GRXNXS-GRX
- NXS-LAB (research, experiments and simulations)NXS-LABNXS-LABRooms: Experiments, Benchmarks.
- STEM methodSTEM CommonsEcology and biodiversity scienceThe canonical method page, with its limits.
- STEM methodSTEM CommonsEarth observation and remote sensingThe canonical method page, with its limits.
- STEM methodSTEM CommonsSpatial statistics and geostatisticsThe canonical method page, with its limits.
- STEM methodSTEM CommonsGeospatial information systemsThe canonical method page, with its limits.
- STEM methodSTEM CommonsComplex systems and agent-based modellingThe canonical method page, with its limits.
- STEM methodSTEM CommonsCausal inference and impact evaluationThe canonical method page, with its limits.
- Academy disciplineRisk AcademyBiodiversity and ecosystemsFaculty of Earth and Environmental Sciences
- Academy disciplineRisk AcademyLand, forests and soilsFaculty of Earth and Environmental Sciences
- FieldGCRIBiodiversity and natureThe field across science, governance and finance.
- FieldGCRIClimate and hazardsThe field across science, governance and finance.
- FieldGCRIOceans and coastsThe field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsDiplomacy NexusShared: Climate and hazards.
- Counterpart · GRFReportsClimate and Nature GovernanceShared: Climate and hazards, Biodiversity and nature.
- Counterpart · GRAReportsInsurance NexusShared: Climate and hazards.
- Counterpart · GRAReportsBanking NexusShared: Climate and hazards.
- Counterpart · GRAReportsAsset Management NexusShared: Climate and hazards, Biodiversity and nature.
- Counterpart · GRAReportsReinsurance and CatastropheShared: Climate and hazards.
- Counterpart · GRAReportsClimate and Nature Financial RiskShared: Climate and hazards, Biodiversity and nature.
- Standards areaNexus StandardsHydrometeorological hazard standardsHazards and disaster risk reduction. Parts NS-0, NS-3, NS-3b, NS-11.
- Standards areaNexus StandardsWMO and hydrometeorological servicesEarly warning and anticipatory action. Parts NS-3, NS-9, NS-11.
- Standards areaNexus StandardsWater risk standardsWater and food systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-9, NS-10, NS-11.
- Standards areaNexus StandardsBiodiversity and nature risk standardsClimate and Earth systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-5, NS-9, NS-11.
- Standards areaNexus StandardsClimate risk standardsClimate and Earth systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-9, NS-11, NS-14.
- Standards areaNexus StandardsOceans and coasts risk standardsClimate and Earth systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-5, NS-9, NS-11.
Contribute on Biodiversity Nexus.
Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.
Write a contribution the editor can act on.
Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.
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- Case study
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- Peer review
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Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.
Open science for Biodiversity Nexus.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Biodiversity Nexus’s open record
- Area
- Biodiversity Nexus
- Feeds
- Global Sector Risk and Resilience, Observatory Signal
- Record
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- Links
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- Licence
- CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0
Credit and identity
- ORCID
- Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
- ROR
- Your organisation by its ROR identifier, never by a typed name alone
- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- Account
- None needed to contribute; never a password
Find and follow
Search the open indexes for Biodiversity Nexus; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.
Mirrors and harvest
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Releases tagged to this area appear here once released.
Send evidence on Biodiversity Nexus.
Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) Systems Evidence desk. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work. Sent to the wrong desk, it is forwarded, not refused.
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Around the reports at GCRI.
The sectors behind Biodiversity Nexus.
A reading aid: the sectors the findings run through and how strongly they depend on each other.
Signature
Biodiversity and its partners
Biodiversity gives pollination and soils to food (0.6), watershed regulation to water (0.5) and zoonotic spillover and medicines to health (0.4).
W · E · I · F · H · B
- Sectors
- 4 of 6
- Relations
- 6 of 15
- Coupling
- 0.46 share of total
Strongest relations in play
- Food → Biodiversity · land conversion0.6
- Water → Food · irrigation0.8
- Water → Biodiversity · environmental flows0.6
- Food → Health · nutrition0.7
Bring what you know to the next edition.
Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.
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CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.