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खाद्य जाल टोपोलॉजी विश्लेषण×जनसंख्या व्यवहार्यता विश्लेषण (Population Viability Analysis)×
क्षेत्रपारिस्थितिकीपारिस्थितिकी
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष20001981
प्रवर्तकRichard Williams and Neo MartinezMark Shaffer
प्रकारecological network characterizationextinction risk assessment
मौलिक स्रोतDunne, 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 ↗
उपनामfood web structure, network topology, trophic network, food chain analysisPVA, extinction risk, minimum viable population, MVP
संबंधित44
सारांशFood 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.
ScholarGateडेटासेट
  1. v1
  2. 3 स्रोत
  3. PUBLISHED
  1. v1
  2. 3 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Food Web Topology · Population Viability Analysis. 2026-06-20 को यहाँ से प्राप्त https://scholargate.app/hi/compare