Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis de la topología de redes tróficas× | Análisis de Viabilidad Poblacional× | |
|---|---|---|
| Campo | Ecología | Ecología |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2000 | 1981 |
| Autor original≠ | Richard Williams and Neo Martinez | Mark Shaffer |
| Tipo≠ | ecological network characterization | extinction risk assessment |
| Fuente 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. link ↗ | Shaffer, M. L. (1981). Minimum population sizes for species conservation. BioScience, 31(2), 131-134. DOI ↗ |
| Alias | food web structure, network topology, trophic network, food chain analysis | PVA, extinction risk, minimum viable population, MVP |
| Relacionados | 4 | 4 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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