Comparar métodos

	Análise da Topologia de Teias Alimentares	Análise de Viabilidade Populacional
Área	Ecologia	Ecologia
Família	Process / pipeline	Process / pipeline
Ano de origem	2000	1981
Autor original	Richard Williams and Neo Martinez	Mark Shaffer
Tipo	ecological network characterization	extinction risk assessment
Fonte seminal	Dunne, J. A., Williams, R. J., & Martinez, N. D. (2002). Network structure and robustness of marine food webs. The American Naturalist, 160(1), 117-129.	Shaffer, M. L. (1981). Minimum population sizes for species conservation. BioScience, 31(2), 131-134.
Outros nomes	food web structure, network topology, trophic network, food chain analysis	PVA, extinction risk, minimum viable population, MVP
Relacionados	4	4
Resumo	Food 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.