قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| منحنى تراكم الأنواع× | تحليل قيمة المؤشر× | |
|---|---|---|
| المجال | علم البيئة | علم البيئة |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1968 | 1997 |
| صاحب الطريقة≠ | Henry Sanders | Marc Dufrene and Pierre Legendre |
| النوع≠ | biodiversity quantification and comparison | species-habitat association analysis |
| المصدر التأسيسي≠ | Colwell, R. K. (1994). Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society B, 345(1311), 101-118. DOI ↗ | Dufrene, M., & Legendre, P. (1997). Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecological Monographs, 67(3), 345-366. DOI ↗ |
| الأسماء البديلة≠ | rarefaction, species accumulation curve, species richness curve | IndVal, indicator species, fidelity, specificity |
| ذات صلة | 4 | 4 |
| الملخص≠ | 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. | Indicator Value (IndVal) analysis, developed by Dufrene and Legendre (1997), identifies species that reliably indicate the presence of particular environmental conditions, habitat types, or community groups. The method quantifies the association between species and habitat, producing an indicator value that combines specificity (exclusive preference for certain habitats) and fidelity (consistent presence when the habitat occurs). IndVal is widely used in conservation to identify species of management concern, in habitat typing to discover indicator species, and in restoration ecology to assess whether recovered communities match reference conditions. |
| ScholarGateمجموعة البيانات ↗ |
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