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Анализ топологии пищевых сетей×Анализ жизнеспособности популяций×
ОбластьЭкологияЭкология
СемействоProcess / pipelineProcess / pipeline
Год появления20001981
Автор методаRichard Williams and Neo MartinezMark Shaffer
Типecological network characterizationextinction risk assessment
Основополагающий источникDunne, 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 ↗
Другие названияfood web structure, network topology, trophic network, food chain analysisPVA, extinction risk, minimum viable population, MVP
Связанные44
СводкаFood 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.
ScholarGateНабор данных
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  2. 3 Источники
  3. PUBLISHED
  1. v1
  2. 3 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Food Web Topology · Population Viability Analysis. Получено 2026-06-20 из https://scholargate.app/ru/compare