GRF · Climate and Nature Governance
Adaptation institutions
Adaptation happens through institutions: a ministry that writes the national adaptation plan, a finance ministry that funds it, regulators who change building codes and water allocation, and local authorities who act. When mandates overlap, budgets are short or no one owns a risk, plans stay on paper. This page sets out how adaptation institutions are built and where they fail, the records that show their capacity, and the office holders who decide what is funded, where and for whom.
Adaptation institutions on the record.
Adaptation institutions: how the risk develops.
Mandates, financing and accountability. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Mandates fragment
Adaptation touches water, agriculture, health, planning and infrastructure, each with its own ministry and law. Without a coordinating mandate with budget authority, every agency adapts its own assets and shared risks such as heat or flooding fall between them.
Plans outrun budgets
National adaptation plans list priorities, but spending follows the annual budget cycle. Where adaptation has no budget line or tagging, finance ministries cannot see what is spent and plans lose ground to visible short-term demands.
Local capacity limits delivery
Most adaptation is local: drainage, zoning, cooling, water supply. Municipalities with few staff, weak revenue and no hazard data cannot design or maintain measures, even when national plans assign them the task.
Maladaptation locks in
Measures that protect one place or group can move risk elsewhere: a levee that shifts flooding downstream, irrigation that depletes groundwater. Without review and learning loops, these choices stay for the life of the asset.
Climate signals in the Andes.
Daytime surface heat, rain, marine heat and population density over the Andes, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 4
Climate signals, for this page
About this layer
- Evidence
- Observed (persistent cloud still leaves gaps)
- Source
- VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- 8-day; Satellite 8-day composite; persistent cloud still leaves gaps
- Newest at build
- 2026-09-14
- Resolution
- about 1 km grid
- Uncertainty
- Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Estimated
- Source
- GPM IMERG (NASA GES DISC)
- Provider
- NASA GES DISC
- Licence
- NASA open data
- Vintage
- daily; Satellite estimate, near real time
- Newest at build
- 2026-10-12
- Resolution
- about 2 km grid
- Uncertainty
- Satellite estimate, near real time. 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
- 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
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
- null; 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
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. 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
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.
Climate signals, framed on the Andes.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 AIRS · U.S. Geological SurveySources 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
- 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
- GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery 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
- 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 hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS 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.
- Live: NASA EONET Events are indicative, not authority warnings.
- Observed (EO): NASA AIRS. 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).
- Live: U.S. Geological Survey Events are indicative, not authority warnings.
- 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).
- Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
- Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
- Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (22 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
- Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
- Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
- Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| National adaptation plan status | submitted, in preparation or none | on submission | UNFCCC NAP Central | Published statistics |
| Adaptation coordination body with legal mandate | yes or no, with legal instrument | on change | National legislation databases | Published statistics |
| Climate budget tagging in place | yes or no, with method | annual | Finance ministry budget documents | DECLARED |
| Tagged adaptation expenditure | currency per year and share of budget | annual | Budget execution reports | REPORTED |
| Local adaptation plans adopted | count of subnational plans | annual | National and municipal records | REPORTED |
| Adaptation finance received | currency per year, by channel | annual | Biennial transparency reports and fund records | REPORTED |
| Adaptation monitoring and evaluation system | existence and scope, categorical | on change | NAP progress reports | DECLARED |
Adaptation plan tracker.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Adaptation plan tracker
Adaptation institutions · National adaptation council · Plan year 5
Actions on track by sector
Implementation gaps
| No drought allocation rule | Water | Mandate unclear | Basin commission |
| Heat plans missing | Health | Funding | Line ministry |
| Coastal setback unenforced | Cities | Capacity | Province D |
Adaptation cycle
- Assess risknational
- PlanNAP
- Implementsectors
- Monitorindicators
- Evaluatelearning
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| UNFCCC NAP Central | Submitted national adaptation plans and related documents | Public records, UNFCCC terms |
| UNEP Adaptation Gap Report | Assessment of adaptation planning, finance and implementation across countries | Free to read, UNEP terms |
| Climate Change Laws of the World | National climate laws and policies, including adaptation frameworks | Free to use with attribution, terms to check |
| Notre Dame Global Adaptation Initiative (ND-GAIN) country index data | Vulnerability and readiness components by country | Free to download, terms to check |
| OECD climate-related development finance data | Adaptation-related development finance by provider and recipient | Free, OECD terms |
| Green Climate Fund and Adaptation Fund project records | Approved adaptation projects, readiness grants and implementing entities | Public records, terms per fund |
Compare instruments: rules, incentives and information.
Three families of instruments side by side against the baseline, each with its own lag and adoption speed, under the coverage and compliance you set; effect sizes are teaching values to replace with evidence. Scenario: named assumptions about the future, not a forecast. The map on this page shows The Andes; the model itself is not tied to a place.
Controls
- Baseline trend of the outcome
- 2.0% a year
- Coverage of the instrument
- 70%
- Compliance
- 75%
- Effect size, against the teaching value
- 100%
- Years ahead
- 20 years
Readouts
- Largest reduction at the horizon
- Regulation
- Its reduction against the baseline
- 21%
Numbers, methods and sources
| Year | Baseline | Regulation | Economic incentive | Information and capacity |
|---|---|---|---|---|
| 0 | 100.0 | 99.5 | 98.8 | 99.1 |
| 1 | 102.0 | 101.2 | 100.1 | 99.8 |
| 2 | 104.0 | 102.5 | 101.1 | 99.9 |
| 3 | 106.1 | 103.5 | 101.6 | 100.0 |
| 4 | 108.2 | 103.7 | 101.8 | 100.7 |
| 5 | 110.4 | 103.2 | 101.7 | 102.1 |
| 6 | 112.6 | 102.0 | 101.6 | 103.9 |
| 7 | 114.9 | 100.4 | 101.6 | 105.9 |
| 8 | 117.2 | 99.2 | 102.1 | 108.0 |
| 9 | 119.5 | 98.6 | 102.9 | 110.1 |
| 10 | 121.9 | 98.9 | 104.2 | 112.3 |
| 11 | 124.3 | 99.7 | 105.7 | 114.5 |
| 12 | 126.8 | 101.1 | 107.4 | 116.8 |
| 13 | 129.4 | 102.7 | 109.4 | 119.2 |
| 14 | 131.9 | 104.5 | 111.4 | 121.6 |
| 15 | 134.6 | 106.5 | 113.5 | 124.0 |
| 16 | 137.3 | 108.5 | 115.7 | 126.5 |
| 17 | 140.0 | 110.7 | 118.0 | 129.0 |
| 18 | 142.8 | 112.9 | 120.4 | 131.6 |
| 19 | 145.7 | 115.1 | 122.8 | 134.2 |
| 20 | 148.6 | 117.4 | 125.2 | 136.9 |
Methods
- Tools of government Hood (1983), The Tools of Government, Macmillan
- Carrots, sticks and sermons Bemelmans-Videc, Rist and Vedung (1998), Transaction
- Diffusion of innovations Rogers (2003), Diffusion of Innovations, Free Press
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
- Borders Natural Earth
- Cities Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Climate and Nature Governance in Foundry
- Tested at Climate and Nature Governance in Universe
- Codified in Climate and Earth Systems in Standards
- Published in Climate and Nature Governance in Reports
- Taught in Faculty of Earth and Environmental Sciences in Academy
Who decides, and what the evidence serves.
Climate and Nature Governance prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Environment and climate ministries | How the national adaptation plan assigns responsibilities and what it prioritises | Mandate maps, hazard evidence and comparable plan designs, with sources |
| Finance ministries | Whether adaptation gets a budget line, tagging and appraisal rules | Budget tagging methods, execution data and fiscal risk evidence |
| Municipal councils | Which local measures to fund and maintain | Local hazard data, cost and maintenance records, and lessons from comparable cities |
| Parliamentary committees and audit institutions | Whether adaptation commitments are being delivered | Plan targets against budget execution and monitoring reports |
Outputs this topic produces
- Maps of adaptation mandates showing who decides, funds, implements and reviews
- Comparative notes on national adaptation plan design and budget integration
- Dialogue briefs on local delivery capacity for heat, flood and drought
- Questions for legislatures reviewing adaptation progress
From mandate to evaluation, by pillar.
The steps an instrument takes from mandate to evaluation, each with the pillar that runs it, and the decisions that stay with the authority. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Andes; the model itself is not tied to a place.
- Mandate and problem framing Competent authority (outside the programme)
A competent authority frames the problem and the mandate under its own rules. Howlett, Ramesh and Perl (2009) - Evidence and system model Foundry
The system is modelled with its feedbacks, data and stated limits. OECD (2014), principle 2 - Options appraised with scenarios Foundry
Instruments are compared under scenarios, with uncertainty shown. Hood (1983) - Exercise with stakeholders Universe
The options are tested in an exercise with those who would implement and bear them. OECD (2014), principle 3 - Standard or guidance drafted Nexus Standards
What works is codified as a standard or guidance, open to comment. Nexus Standards process - Decision by the authority Competent authority (outside the programme)
The authority decides, outside the programme, with the evidence on record. Howlett, Ramesh and Perl (2009) - Capacity and training Risk Academy
Those who implement are trained on the decided instrument and its data. Sendai Framework (2015), priority 2 - Monitoring and public report Reports
Indicators are published with sources, limits and corrections. OECD (2014), principle 5 - Evaluation and revision Nexus Standards
Results return to the standard and the model: the cycle closes. Howlett, Ramesh and Perl (2009)
Methods
- Policy cycle Howlett, Ramesh and Perl (2009), Studying Public Policy, Oxford University Press
- Governance of critical risks OECD (2014), Recommendation of the Council on the Governance of Critical Risks
- Layered drawing of directed graphs Sugiyama, Tagawa and Toda (1981), IEEE SMC 11
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Climate and Nature Governance in Foundry
- Tested at Climate and Nature Governance in Universe
- Codified in Climate and Earth Systems in Standards
- Published in Climate and Nature Governance in Reports
- Taught in Faculty of Earth and Environmental Sciences in Academy
What governance researchers ask.
- Which agency leads on adaptation, and does it have the authority and budget to coordinate others?
- How are national plans translated into sector and local action?
- How is adaptation financed, and who decides priorities?
- How is progress monitored, and who is accountable when it falls short?
Exercise a cascade in adaptation institutions with the people who decide.
Assembled from the Nexus Standards area profile Climate adaptation and transition risk: the hazards it names, the systems and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position. To model a place of your own choosing, open the full System Builder.
Hazards
- Sea-level rise
- Heatwave
- Windstorm
- Flash flood
- Meteorological drought
- Groundwater depletion
- Widespread power outage (set off downstream)
- Large forest disturbance (set off downstream)
- Wildfire (set off downstream)
- Extreme fire weather (set off downstream)
- Heat-driven grid stress (set off downstream)
- Agricultural drought (set off downstream)
- Flash drought (set off downstream)
- Snow drought (set off downstream)
- Ground-level ozone episode (set off downstream)
- Debris flow (set off downstream)
- Hydrological drought (set off downstream)
- Peat and underground fire (set off downstream)
Systems and couplings
- Climate adaptation and transition risk
- Climate risk standards Mechanism
- Financial and economic risk standards Cascade
- Energy risk standards Feedback
- Water risk standards Maladaptation risk
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-10Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14Conformance and crosswalk to external standardsNRS-X1Climate change risk and adaptationNRS-T16AI agents and autonomous decision systems riskNRS-H65Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)NRS-I7Intelligence applications: grounded retrieval, reasoning and decision supportNRS-K20Domain pack profile: Climate adaptation (DOMAIN-020)NRS-K21Domain pack profile: Climate mitigation carbon (DOMAIN-021)
Observation
- CMIP6 climate projections (Copernicus Climate Data Store) (listed for reference)
- NGFS Scenario Explorer (listed for reference)
- ERA5 reanalysis (Copernicus Climate Data Store) (listed for reference)
- World Bank Open Data and World Development Indicators API (listed for reference)
- Number of countries with nationally determined contributions, long-term strategies, national adaptation plans and adaptation communications
- Number of countries that adopt and implement national DRR strategies in line with the Sendai Framework
Example geography
- Pacific Island states: 150 hexagonal cells
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Surface air temperature, daytime (AIRS), NASA GIBS
- Rain rate, last half hour (IMERG), NASA GIBS
- Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
Why adaptation governance is hard.
Adaptation cuts across sectors: water, agriculture, health, infrastructure, planning and disaster risk management. Environment ministries often lead on plans but lack authority over the line ministries and local governments that implement them. Adaptation outcomes, such as avoided losses, are hard to measure, which weakens accountability.
Local authorities carry much of the burden but often lack funds and technical capacity. Financing is fragmented between domestic budgets and multiple international funds with different rules. Short political cycles discourage investment in long-term resilience.
Why now: the UAE Framework for Global Climate Resilience (2023) set adaptation targets for 2030, and national adaptation plans increasingly cut across ministries that rarely plan together. The platform is designed to convene those ministries and the local governments that deliver adaptation, map who decides what, and test the arrangement in a Universe exercise before a heat or flood season does.
How adaptation institutions is governed: instruments, mandates and commitments.
The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.
Mandates and agreements over time
The agreements that set mandates and commitments on adaptation institutions, from adoption to their current horizon.
- 1992UNFCCC and Convention on Biological DiversityUnited Nations
- 2015Sendai Framework for Disaster Risk ReductionUNDRR
- 20152030 Agenda and the Sustainable Development GoalsUnited Nations
- 2015Paris AgreementUNFCCC
- 2022Kunming-Montreal Global Biodiversity FrameworkCBD
- 2023First global stocktake under the Paris AgreementUNFCCC
- 2030Horizon of the 2030 Agenda and the Sendai FrameworkUnited Nations
How institutions are compared.
- 01
Mandate mapping
Identifying which bodies hold which responsibilities, using policy, institutional and decision science. Formal mandates can differ from practice.
- 02
Comparative case analysis
Comparing how different countries organise adaptation. Context limits how far lessons transfer.
- 03
Budget tracking
Following adaptation spending through public budgets. Adaptation is often embedded in other spending and hard to isolate.
- 04
Monitoring frameworks
Indicators of process and outcome, informed by climate and atmospheric science. Outcome indicators lag and attribution is difficult.
How it is studied, and what the methods cannot say.
- 01Policy, institutional and decision scienceMandate and decision-rights mapping · Process tracing of commitmentsApplied here
- 02Climate and atmospheric scienceScenarios for adaptation plans · Attribution in governance debatesApplied here
- 03Hydrology and water scienceAllocation under variable flow · Upstream project effects · Shared monitoring designApplied here
- 04Agricultural, soil and food scienceIrrigation and crop choice · Drought impact on yields · Smallholder adaptation optionsApplied here
Questions and answers.
What is a national adaptation plan?
What is maladaptation?
Who is accountable for adaptation?
Why do adaptation plans often stall?
Does GRF fund adaptation projects?
Can a ministry request a comparative dossier?
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