Early warning of regime shifts
Rising variance, autocorrelation and slower recovery in long ecological series are tested as signals of approaching transitions in lakes, reefs and drylands.
GCRI · Biodiversity Nexus
Ecosystems and the social and economic sistemas that use them interact through feedbacks, thresholds and networks. Complex systems methods explore how those interactions produce regime shifts, cascades of extinction and correlated losses that simpler models miss, and they stress test management against them.
Complejo sistemas and agent-based modelling study systems whose behaviour emerges from interactions among many components. They help explain nonlinear dynamics, tipping points and collective behaviour. In biodiversity and nature, climate and hazards and oceans and coasts, complex systems approaches explore how interacting risks can produce sudden, systemic shifts. They support stress testing of policies against emergent behaviour. The canonical description is on STEM Commons.
Rising variance, autocorrelation and slower recovery in long ecological series are tested as signals of approaching transitions in lakes, reefs and drylands.
Interaction networks of plants, pollinators, predators and prey are simulated to see how the loss of one species propagates through the web.
Farmers, fishers, traders and regulators are represented as agents to explore how incentives, rules and ecology together drive clearing, overfishing or recovery.
Land cover, vegetation and plant growth over the Amazon Basin, from NASA GIBS. Each layer carries its own date.
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © colaboradores de OpenStreetMap (ODbL) · Natural Earth
Cargando las imágenes más recientes de la NASA.
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Estado de los hábitats, con encuadre en la cuenca del Amazonas.Productos satelitales y de modelos tal como los publica la NASA, cada uno con su propia fecha. Son indicadores, no evaluaciones de ningún lugar.
Capas y fechas
Datasets and records used by complex sistemas and agent-based modelling 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 |
|---|---|---|
| Long-term ecological time series | Alerta temprana indicadores | OBSERVADO |
| Species interaction networks | Network structure | OBSERVADO |
| Land-use and fisheries surveys | Calibration of agent behaviour | NOTIFICADO |
| Model ensembles | Structural uncertainty | MODELADO |
La pantalla que utilizaría un equipo para seguir este método: sus mediciones, estados y decisiones. Los nombres son ejemplos y los valores son ilustrativos.
Biodiversity · Complex systems in ecology · Run R-7901
| Autoridad de áreas protegidas | adapts after 5 losses | 0.2 | survey, labelled |
| Environment ministry | adapts after 5 losses | 0.2 | survey, labelled |
| Indigenous and local community council | adapts after 2 losses | 0.4 | survey, labelled |
Models are evaluated by matching multiple stylised facts and patterns at different scales. Sensitivity and robustness analysis test dependence on assumptions.
| Verificación | Cómo se hace |
|---|---|
| Pattern-oriented validation | Models must reproduce several observed patterns at different scales, not a single target |
| Sensitivity and robustness | Conclusions are tested across parameter ranges and alternative model structures |
| False alarm testing | Alerta temprana methods are tested on series with and without known transitions |
Many plausible models can reproduce the same patterns. Calibration and validation data are often limited.
Dos stocks, la presión y la capacidad de adaptación, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Amazon Basin; the model itself is not tied to a place.
Controles
Lecturas
| Año | Presión | Capacidad | Percibido |
|---|---|---|---|
| 0 | 20.0 | 50.0 | 20.0 |
| 4 | 23.3 | 44.9 | 21.2 |
| 8 | 27.2 | 42.2 | 24.0 |
| 12 | 31.7 | 42.3 | 27.7 |
| 16 | 36.8 | 45.5 | 32.2 |
| 20 | 42.3 | 51.5 | 37.2 |
| 24 | 47.9 | 60.3 | 42.6 |
| 28 | 53.2 | 71.3 | 48.0 |
| 32 | 57.8 | 84.3 | 53.1 |
| 36 | 66.4 | 98.4 | 58.4 |
| 40 | 82.7 | 115.9 | 69.7 |
| 44 | 97.8 | 139.7 | 83.8 |
| 48 | 109.1 | 169.4 | 97.3 |
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.
En los seis pilares, bajo la dirección de Nexus Consortium
Assembled from the Nexus Standards area profile Normas sobre riesgos de biodiversidad y naturaleza: the hazards it names, the sistemas and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full Constructor de sistemas.
Amenazas
Sistemas y acoplamientos
Controles
NS-0 Constitución y principiosNS-1 La UNI y el catálogo de artefactos (gramática v0.2: segmentos de dominio, sector, región y entorno)NS-3 UNI de registros de riesgo (gramática, tabla de correspondencia heredada, autoridad de asignación)NS-3b Perfil de metadatos de conjuntos de datos y productos (STAC, DCAT, PROV-O)NS-5 Norma de figuras, mapas y visualizaciones (con el kit UI/UX)NS-9 UNI contextuales (despliegues, instancias, instancias de programa)NS-11 Verificación y seguimiento (evidencia, atestaciones, observación de la conformidad de confianza cero)NRS-N5 Riesgo y resiliencia de la biodiversidad y la naturalezaNRS-H65 Familia de amenazas: transgresión de los límites planetarios (NHS-1 planet.boundary)NRS-H27 Familia de amenazas: biodiversidad y presión sobre las especies (NHS-1 eco.species)NRS-H26 Familia de amenazas: degradación de tierras y humedales (NHS-1 eco.land)NRS-H28 Familia de amenazas: cambios del estado climático (NHS-1 eco.climate-state)NRS-H64 Familia de amenazas: cambios de régimen de los ecosistemas (NHS-1 eco.regime-shift)Observación
Geografía de ejemplo
Ciencia de sistemas y modelización stewards complex sistemas and agent-based modelling for the Consortium and reviews how it is applied across platforms.
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 complex systems in ecology, and where each step adds uncertainty.
serie 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.
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