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Analiza topologiei rețelelor trofice×Analiza Viabilității Populației×
DomeniuEcologieEcologie
FamilieProcess / pipelineProcess / pipeline
Anul apariției20001981
Autorul originalRichard Williams and Neo MartinezMark Shaffer
Tipecological network characterizationextinction risk assessment
Sursa seminalăDunne, J. A., Williams, R. J., & Martinez, N. D. (2002). Network structure and robustness of marine food webs. The American Naturalist, 160(1), 117-129. link ↗Shaffer, M. L. (1981). Minimum population sizes for species conservation. BioScience, 31(2), 131-134. DOI ↗
Denumiri alternativefood web structure, network topology, trophic network, food chain analysisPVA, extinction risk, minimum viable population, MVP
Înrudite44
RezumatFood web topology analysis characterizes the structure of predator-prey interactions within ecological communities using network metrics. Pioneered by Williams and Martinez (2000) and extended by Dunne and colleagues (2002), this approach maps which species eat which and quantifies network properties (connectivity, clustering, robustness). Understanding food web structure reveals how ecosystems are organized, how stable they are to species loss, and what roles different species play in ecosystem function.Population Viability Analysis (PVA), introduced by Shaffer (1981), estimates the probability that a population will persist over a given time period under specified conditions. PVA combines demographic models (Leslie matrices, IPMs) with stochastic simulation to project population trajectories, quantifying extinction risk. This allows conservation planners to assess whether a population will likely persist, evaluate management scenarios, and estimate the minimum viable population (MVP) size for long-term persistence. PVA is a decision-support tool, not a precise predictor.
ScholarGateSet de date
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  2. 3 Surse
  3. PUBLISHED
  1. v1
  2. 3 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Food Web Topology · Population Viability Analysis. Preluat la 2026-06-20 de pe https://scholargate.app/ro/compare