Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis de la topología de redes tróficas× | Diversidad Funcional× | |
|---|---|---|
| Campo | Ecología | Ecología |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2000 | 2008 |
| Autor original≠ | Richard Williams and Neo Martinez | Olivier Mouillot |
| Tipo≠ | ecological network characterization | trait-based diversity analysis |
| 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 ↗ | Villéger, S., Mason, N. W., & Mouillot, D. (2008). New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology, 89(8), 2290-2301. DOI ↗ |
| Alias | food web structure, network topology, trophic network, food chain analysis | functional traits, trait diversity, ecological niche, functional space |
| 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. | Functional diversity quantifies the range and abundance distribution of functional traits (morphology, physiology, behavior) among species in a community. Developed by Mouillot and colleagues (2008), functional diversity indices measure how different species are in their ecological roles and resource use strategies. Unlike species richness (number of species), functional diversity captures the breadth of ecological strategies, predicting ecosystem function and stability. |
| ScholarGateConjunto de datos ↗ |
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