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Modellezés a fajok élőhelyigénye alapján (Niche Modeling)×Fajakkumulációs görbe×
TudományterületÖkológiaÖkológia
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve19991968
MegalkotóSteven Phillips and David StockwellHenry Sanders
Típusspecies distribution predictionbiodiversity quantification and comparison
AlapműPhillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗Colwell, R. K. (1994). Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society B, 345(1311), 101-118. DOI ↗
Alternatív nevekspecies distribution modeling, habitat suitability modeling, ecological niche model, MaxEntrarefaction, species accumulation curve, species richness curve
Kapcsolódó44
ÖsszefoglalóNiche modeling, also called species distribution modeling (SDM), predicts the geographic range and habitat suitability of species using presence-only or presence-background occurrence data and environmental variables. MaxEnt (Maximum Entropy, Phillips et al. 2006) and GARP (Genetic Algorithm for Rule-set Prediction, Stockwell & Peters 1999) are two prominent algorithms. These methods identify the environmental conditions under which species are likely to occur, enabling prediction of distribution beyond sampled areas and assessment of habitat suitability across landscapes.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.
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  3. PUBLISHED

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ScholarGateMódszerek összehasonlítása: Niche Modeling · Species Accumulation. Letöltve 2026-06-19, forrás: https://scholargate.app/hu/compare