comparing discriminant analysis, ecological niche factor analysis and logistic regression methods for geographic distribution modelling of eurotia ceratoides (l.) c. a. mey

نویسندگان

lyla khalasi ahvazi

mohammad ali zare chahouki

faeze ghorbannezhad

چکیده

eurotia ceratoides (l.) c. a. mey is an important plant species in semi-arid landsin iran. new approaches are required to determine the distribution of this plant species. forthis reason, geographical distributions of eurotia ceratoides were assessed using threedifferent models including: multiple discriminant analysis (mda), ecological niche factoranalysis (enfa) and logistic regression (lr). the study area was located in northeastrangelands of semnan, iran. sampling was performed in each vegetation type usingrandomized-systematic method. vegetation data in addition to environmental factors' datasuch as topography and soil were prepared. the mda and lr methods were performed withspss software as predictive modelling methods based on presence and absence data. theenfa model was performed by the means of necessary statistical analysis in biomapper(version 4.0) software only by presence data. the plant predictive mapping needs the maps ofall effective factors based on model parameters. mapping of soil characteristics was done bygeo-statistical method. the accuracy of the predicted map was tested with the actualvegetation map. predictive maps of e. ceratoides (based on the lr and mda methods) withkappa coefficients as 0.56 and 0.64 had a good accordance with actual vegetation mapprepared for the study area. kappa coefficient of potential habitat map (based on enfamethod) of e. ceratoides was 0.85; hence, it had a very good accordance. the results obtainedby all methods showed that this species is distributed in the rangeland with ph as 7.8-8, ec as0.17-0.26 dc/m and silty-sandy texture in 1600-2200 m elevation. organic matter in the depthof 20-80 cm and ph in the depth of 0-20 cm did not significantly influence the differences.minimum sampling is needed using these methods which provide worth while data about thepresence of the plant species in the other places.

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منابع مشابه

Comparing Discriminant Analysis, Ecological Niche Factor Analysis and Logistic Regression Methods for Geographic Distribution Modelling of Eurotia ceratoides (L.) C. A. Mey

Eurotia ceratoides (L.) C. A. Mey is an important plant species in semi-arid landsin Iran. New approaches are required to determine the distribution of this plant species. Forthis reason, geographical distributions of Eurotia ceratoides were assessed using threedifferent models including: Multiple Discriminant Analysis (MDA), Ecological Niche FactorAnalysis (ENFA) and Logistic Regression (LR). ...

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عنوان ژورنال:
journal of rangeland science

ناشر: islamic azad university, boroujerd branch

ISSN 2008-9996

دوره 3

شماره 1 2013

میزبانی شده توسط پلتفرم ابری doprax.com

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