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 pergalan 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 Testa zextê management against them.
Complex pergalan 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.
Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.
Qat 3
Rewşa jîngehê, ji bo vê rûpelê
Klavye, dema ku nexşe di fokusê de ye
Ctrl an ⌘ bigire û bizivirîne da ku nêzîk bikî
Ya herî dawî ya heyî
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Wêneyên herî nû yên NASA tê barkirin.
Bikişîne da ku bilivîne. Ctrl an ⌘ û zivirandin, pincandin an bişkojkan ji bo nêzîkkirinê; ji bo nirxên di bin nîşanderê de li ser bisekine; vegerandin vedigere herêmê.
Habitat condition, framed on the Amazon Basin.Berhemên peyk û modelê wekî NASA diweşîne, her yek bi dîroka xwe. Nîşander in, ne nirxandinên tu cihî ne.
Qat û dîrok
Datasets and records used by complex pergalan and agent-based modelling on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| Long-term ecological time series | Hişyariya zû nîşanker | ÇAVDÊRÎKIRÎ |
| Species interaction networks | Network structure | ÇAVDÊRÎKIRÎ |
| Land-use and fisheries surveys | Calibration of agent behaviour | REPORTED |
| Model ensembles | Structural uncertainty | MODELKIRÎ |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Biodiversity · Complex systems in ecology · Run R-7901
| Protected area authority | 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.
| Kontrol bikin | How it is done |
|---|---|
| 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 | Hişyariya zû 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.
Du stok, zext û kapasîteya adaptasyonê, 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.
Kontrol
Xwendin
| Sal | Zextê | Kapasîte | Hatî dîtin |
|---|---|---|---|
| 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.
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
Assembled from the Nexus Standards area profile Standardên xetera cûrbecûrbûna jîndaran û xwezayê: the hazards it names, the pergalan 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 System Builder.
Metirsî
Pergal û girêdan
Kontrol
NS-0 Destûr û prensîbNS-1 Çavdêrxaneya UNI û kataloga berheman (rêzimana v0.2: beşên qad, sektor, herêm û jîngehê)NS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)NS-3b Profîla metadata ya daneset û berheman (STAC, DCAT, PROV-O)NS-5 Figure, map and visualisation standard (with the UI/UX kit)NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)NRS-N5 Xetera cûrbecûrbûna jîndaran û xwezayê û berxwedanNRS-H65 Malbata metirsiyê: Binpêkirinên sînorên gerstêrkê (NHS-1 planet.boundary)NRS-H27 Malbata metirsiyê: Zexta li ser cûrbecûrbûna jîndaran û cureyan (NHS-1 eco.species)NRS-H26 Malbata metirsiyê: Xirabûna erd û erdên şil (NHS-1 eco.land)NRS-H28 Malbata metirsiyê: Guherînên rewşa avhewayê (NHS-1 eco.climate-state)NRS-H64 Malbata metirsiyê: Guherînên rejîma ekosîstemê (NHS-1 eco.regime-shift)Çavdêrî
Erdnîgariya mînakê
Zanista pergalan û modelkirin stewards complex pergalan and agent-based modelling for the Consortium and reviews how it is applied across platforms.
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
How a satellite or sensor record becomes evidence on complex systems in ecology, and where each step adds uncertainty.
rêzeya Pergalên Stratejîk 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.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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