Protected area effectiveness
Protected sites are matched to unprotected sites with similar slope, remoteness and pressure, and differences in forest loss or species trends are estimated with sensitivity to hidden bias.
GCRI · Biodiversity Nexus
Conservation and restoration spend public and private money on the expectation that interventions work. Causal inference tests that expectation, estimating what protected areas, payments, restoration and policy changes achieved compared with what would have happened without them. Without that comparison, background trends are easily mistaken for success.
Causal inference and impact evaluation develop methods to determine whether and how interventions or exposures cause outcomes. They separate genuine effects from correlation. In biodiversity and nature, climate and hazards and oceans and coasts, causal inference shows which reducción del riesgo measures actually work. It supports allocating resources toward interventions with demonstrated effect across connected risks. The canonical description is on STEM Commons.
Protected sites are matched to unprotected sites with similar slope, remoteness and pressure, and differences in forest loss or species trends are estimated with sensitivity to hidden bias.
Difference-in-differences and synthetic control designs compare enrolled land with comparable land outside a programme, before and after it starts.
Staggered adoption of moratoria, regulations or zero-deforestation commitments is used to estimate effects on clearing and on displacement of clearing to other areas.
El modelo, sus supuestos, sus datos y su incertidumbre, en la forma en que un científico o un ingeniero los comprobaría. Las estructuras siguen métodos publicados. Los valores representados son ilustrativos, no hallazgos.
How a satellite or sensor record becomes evidence on impact evaluation for conservation, and where each step adds uncertainty.
Datasets and records used by causal inference and impact evaluation on this platform, with the role each plays and the label its values carry. Sources are listed in el registro de fuentes.
| Datos | Función | Etiqueta |
|---|---|---|
| Global Forest Change and national land-cover series | Outcome measures | OBSERVADO |
| Protected Planet boundaries and designation dates | Treatment timing and extent | DECLARADO |
| Programme enrolment records | Treatment assignment | NOTIFICADO |
| Terrain, access and land-use covariates | Matching and adjustment | ESTIMADO |
Process explorer · Process
10 steps·4 etapas
Proceso
PRISMA 2020 es una directriz de comunicación para revisiones sistemáticas; los pasos siguen su lista de verificación, no una secuencia obligatoria, y ningún documento de Nexus la adopta.
serie ReportsOutline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
Identification assumptions are probed through placebo tests, falsification checks and análisis de sensibilidad. Replication across settings tests external validity.
| Verificación | Cómo se hace |
|---|---|
| Covariate balance | Treated and comparison units are compared on observed characteristics before effects are estimated |
| Placebo and pre-trend tests | Effects are tested in periods and places where none should exist |
| Sensitivity to hidden bias | Results state how strong an unobserved confounder would need to be to change the conclusion |
| Spillover and leakage | Neighbouring areas are examined for displaced pressure |
Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.
Desarrollo económico stewards causal inference and impact evaluation for the Consortium and reviews how it is applied across platforms.
Reports is the Consortium’s quarterly publication. 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.
No envíe nunca datos personales, detalles sensibles de infraestructura ni nada que no tenga derecho a compartir. Un aporte se revisa antes de su uso; enviarlo no confiere autoría ni derechos editoriales, y el patrocinio nunca compra un hallazgo.
La información y las consultas están abiertas hoy. Una consulta recibe una referencia e indica el siguiente paso; las solicitudes, pagos, asignaciones de cómputo y registros solo se abren cuando existen su equipo, sus condiciones y la capacidad de revisión.
Los mapas, datos y cifras de este sitio se muestran como contexto e información general. No son consejos, pronósticos ni avisos; los límites de la información se exponen en los Descargos de responsabilidad y los Avisos sobre datos.
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