GCRI · Biodiversity Nexus

Field overview

Biodiversity science studies the variety of life at the level of genes, species and ecosystems, and the processes that variety sustains. As a risk field it asks a sharper question: how much loss can a system absorb before the services people rely on fail, and who bears the consequences? This overview sets out why the field matters, what experts study and how it connects to the other fields of Biodiversity Nexus.

STEM methods
8
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
7
Platforms in shared fields across the network
Report series
2
Reports series it contributes to
01Why it matters

Nature is a dependency, not an amenity.

Agriculture depends on soil organisms, pollinators and pest predators. Cities depend on upstream forests and wetlands for clean, regulated water. Coastal settlements depend on reefs, dunes, salt marshes and mangroves to break waves and hold sediment. Fisheries depend on breeding grounds that are often far from where fish are caught. Many medicines, materials and cultural practices depend on particular species and places.

These dependencies are distributed unevenly. Rural households, Indigenous peoples and coastal communities often depend most directly on local ecosystems and have the fewest substitutes when they degrade. The same loss can therefore be a marginal cost in one place and a threat to livelihoods in another, which is why the field treats distribution as part of the science rather than an afterthought.

02Geography

Habitat condition in the Amazon Basin.

Vegetation, land cover and plant growth over the Amazon Basin, from NASA GIBS. Each layer carries its own date.

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
Observed
Source
GHRSST MUR25 (NASA JPL PO.DAAC)
Provider
NASA JPL PO.DAAC
Licence
NASA open data
Vintage
daily; Satellite analysis
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite analysis of how far sea temperature departs from its usual value for the date shown; a marine heat indicator, not a coral bleaching alert.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

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-ALERTSources 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 hexagonal 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 hexagonal 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). NASA open data
  • GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • 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 hexagonal 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 hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • 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 (6 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
  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026

03What experts study

From condition to consequence.

  1. 01

    State and trend

    The extent and condition of ecosystems and the abundance and diversity of species, measured through field surveys, monitoring networks and remote sensing. See Ecosystem integrity and Species and genetic diversity.

  2. 02

    Drivers

    Land and sea use change, exploitation, climate change, pollution and invasive species, and how they interact in particular places.

  3. 03

    Thresholds and resilience

    The points at which systems shift state, and the properties, such as connectivity and functional redundancy, that help them recover. See Forests and landscapes and Wetlands and freshwater.

  4. 04

    Services and dependencies

    Which functions people and economies rely on, and how losses travel. See Ecosystem services and Coastal and marine biodiversity.

  5. 05

    Response

    Whether conservation and restoration work, measured against what would have happened without them. See Restoration and nature-based solutions.

04Monitor

Field overview.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Field overview: the screen’s structure, terms and states for Biodiversity.Example names and illustrative values; a design, not a record or a live system.
05Connections

How this field touches others.

Biodiversity loss is both a consequence of other risks and a cause of them. Climate change shifts species ranges and stresses ecosystems, while degraded ecosystems store less carbon and buffer fewer hazards. Water security, food systems and coastal safety all run through ecological processes. Dependencies and consequences maps these links in detail.

06Pages

Pages in Field overview.

07Questions

Questions and answers.

Which methods does the field rely on?
Ecology and biodiversity science, Earth observation, spatial statistics, geospatial information systems, complex systems modelling, causal inference, hydrology and ocean science. Each is described on the STEM foundation page.
Is biodiversity loss the same as species extinction?
No. Extinction is the most visible and irreversible form, but most of the risk to human systems comes earlier, from declining populations, simplified communities and degraded habitat that lose function long before species disappear.
Why include Indigenous and community stewards?
Much of the world’s remaining biodiversity is on lands and waters stewarded by Indigenous peoples and local communities, whose knowledge of change is often longer and finer-grained than formal monitoring. Their participation is on their terms, under nature data rights.
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