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Mô hình hóa ổ sinh thái×Lấy mẫu khoảng cách×
Lĩnh vựcSinh thái họcSinh thái học
HọProcess / pipelineProcess / pipeline
Năm ra đời19991993
Người khởi xướngSteven Phillips and David StockwellStephen Buckland
Loạispecies distribution predictionpopulation abundance estimation
Công trình gốcPhillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗Buckland, S. T., Anderson, D. R., Burnham, K. P., Laake, J. L., Borchers, D. L., & Thomas, L. (1993). Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, London. link ↗
Tên gọi khácspecies distribution modeling, habitat suitability modeling, ecological niche model, MaxEntline transect, point transect, distance estimation, detection probability
Liên quan44
Tóm tắtNiche 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.Distance sampling is a statistical method for estimating population abundance from data on distances between observers and detected individuals. Developed by Buckland and colleagues (1993) and formalized in the software Distance, this approach accounts for imperfect detection: animals far from an observer are less likely to be detected. By modeling the detection function (probability of detecting an animal at various distances), distance sampling produces unbiased estimates of abundance and density even when detection is incomplete.
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ScholarGateSo sánh phương pháp: Niche Modeling · Distance Sampling. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare