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GCRIBiotechnology and BiosecurityIn development
Dependencies and consequences

Dependencies and consequences

Biological systems connect people, animals, plants, ecosystems and economies. This page, part of Biotechnology and Biosecurity at The Global Centre for Risk and Innovation (GCRI), sets out how biological risks and biotechnology applications are linked to health systems, food systems, supply chains and the environment, how stress travels along those links and why biological events can produce consequences far beyond their point of origin.

Publisher
The Global Centre for Risk and Innovation
Field
Health and biosecurity, Food and agriculture
Status
In development
Service level
R0: information and enquiries

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Layers 4

Environmental exposure, for this page

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.

For dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on crop greenness, population density, daytime surface heat and true-colour imagery, framed on West Africa; 2 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · Copernicus Sentinel-2 L2ASources 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
  • 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). CC BY 4.0
  • 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
  • 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). 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.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (14 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

  • Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 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
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 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

STEM methods
6
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
3
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

Dependencies and consequences in Biotechnology and Biosecurity describe how health and biosecurity as well as food and agriculture connect to other systems through physical, economic, social and ecological links, and how stress travels along them toward fields such as those of Climate and Nature Governance and Health and Biosecurity Governance. Every dependency map states its assumptions, data and uncertainty; it describes connections, not a forecast.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Biotechnology and Biosecurity and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Biotechnology and biosecurity.Placeholder names and illustrative values; a design, not a record or a live system.
04Kinds of dependency

How biological systems are linked to others.

Biological

Shared hosts and environments

Pathogens move between people, livestock, wildlife and crops, and through water and soil.

Supply chains

Inputs and products

Vaccines, diagnostics, reagents and biomanufactured goods rely on concentrated, international supply chains.

Institutional

Oversight and capacity

Detection, response and oversight depend on laboratories, regulators and trained people.

05How stress travels

From a biological event to wider consequences.

Biological events are distinctive because agents can replicate and spread. An outbreak strains health systems, which then struggle to provide routine care; illness and precautionary measures reduce the workforce; travel and trade restrictions disrupt supply chains; and public finances absorb the costs of response and support. Agricultural outbreaks can force the culling of animals or the destruction of crops, affecting farm incomes, food prices and trade.

Biotechnology supply chains carry their own dependencies. Concentrated production of reagents, enzymes, vaccines and medical inputs means that a disruption at one site or in one country can limit supplies elsewhere, as experience in recent health emergencies has shown. Ecological consequences can follow from the release of organisms or from changes in land use and farming practice.

07Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
InterdependencyA two-way dependency between infrastructures, such as power needing telecoms for control while telecoms need power to run.
Cascading riskRisk that a failure in one system or component triggers failures in others that depend on it.
Compound eventTwo or more hazards or drivers occurring together or in sequence whose joint impact exceeds what either would cause alone, such as drought followed by intense rain; IPCC assessments use the term.
Dependency mappingTracing the people, processes, technology, facilities and suppliers a service relies on.
08Method and limits

How dependencies are analysed.

Analysis uses epidemiology and public health science for transmission and burden, probability and statistics for uncertainty and agricultural, soil and food science for food system links. Every analysis states its assumptions. Biological systems are complex and adaptive: transmission depends on behaviour and policy, many dependencies are only visible during events, and a dependency analysis describes how stress could travel, never a forecast. Methods are set out on methods and uncertainty.

09Questions

Questions and answers.

Is a dependency analysis a forecast of an outbreak?
No. It describes how systems are connected and how stress could travel. Scenarios are labelled as such, with their assumptions.
Why do supply chains matter for biosecurity?
Because response depends on diagnostics, medicines, vaccines and protective equipment whose production is often concentrated.
Does the platform model specific agents?
Its published work stays at the level of systems and governance, without technical detail that could increase capacity for harm.
Biotechnology and Biosecurity

Bring your expertise to this field.

The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.