Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Funkcionālā daudzveidība× | Sugu akumulācijas līkne× | |
|---|---|---|
| Nozare | Ekoloģija | Ekoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2008 | 1968 |
| Autors≠ | Olivier Mouillot | Henry Sanders |
| Tips≠ | trait-based diversity analysis | biodiversity quantification and comparison |
| Pirmavots≠ | 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 ↗ | Colwell, R. K. (1994). Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society B, 345(1311), 101-118. DOI ↗ |
| Citi nosaukumi≠ | functional traits, trait diversity, ecological niche, functional space | rarefaction, species accumulation curve, species richness curve |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | 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. | Species accumulation curves describe how the number of observed species increases with cumulative sampling effort. Introduced by Sanders (1968) and developed by Colwell and colleagues, this method enables ecologists to compare biodiversity across sites and estimate total species richness despite incomplete sampling. It addresses a fundamental challenge in ecology: observed species counts are biased by sampling intensity. |
| ScholarGateDatu kopa ↗ |
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