APPLICATION OF THE MAXIMUM ENTROPY METHOD IN MODELING PREDICTION OF PLANT HABITATS DISTRIBUTION (CASE STUDY: RANGELANDS OF QOM PROVINCE)

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PIRI SAHRAGARD H.; ZAREA CHAHOOKI M.A.; AZARNIVAND H.

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Journal: Journal of Range and Watershed Managment Year:2017 | Volume:69 | Issue:4 Page(s): 819-834

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Title

APPLICATION OF THE MAXIMUM ENTROPY METHOD IN MODELING PREDICTION OF PLANT HABITATS DISTRIBUTION (CASE STUDY: RANGELANDS OF QOM PROVINCE)

Author(s)

PIRI SAHRAGARD H. | ZAREA CHAHOOKI M.A. | AZARNIVAND H. | Issue Writer Certificate

Keywords

PREDICTIVE MODELINGQ1

MAXIMUM ENTROPYQ1

GEOSTATISTICSQ2

AUCQ1

KAPPA COEFFICIENTQ1

Abstract

Current study addresses identification of the most important variables of plant habitat distribution as well as providing plant habitat distribution maps using MAXIMUM ENTROPY method. For this purpose, after determination of homogeneous units using digital elevation model and geology maps of scale 1: 25000, vegetation sampling was carried out using random systematic method. Depending on plant species, the plot size was determined from 2 to 25 m2. Sample size was also determined to be 60 plots with respect to vegetation cover variations and intended characteristics using statistical method. In order to sample the soil at each habitat, eight holes were drilled and samples were taken from 0 to 30 and 30 to 80 cm depths and intended characteristics were measured in the laboratory. In order to perform MAXIMUM ENTROPY modeling, layers of environment variables were prepared using GEOSTATISTICS and GIS and plant distribution modeling was conducted using Max Ent software. After implementation of the model, to evaluate model classification accuracy and conformity of prediction with actual maps, area under the curve (AUC) and KAPPA COEFFICIENT were measured. Based on results, model classification accuracy was found acceptable and altitude, aspect, slope, lime, gravel and silt content in the upper and lower layers of soil had the greatest impact on the plant habitat distribution. Agreement value between predictive and actual habitat maps of the Artemisia AUCheri-Astragalus glaucacanthus and Amygdalus scoparia, Scariola orientalis - Stipa barbata, Pteropyrum olivieri- Stipa barbata were assessed at excellent (kappa=0.91) and very good level, respectively. These results indicate that the MAXIMUM ENTROPY is a generative method and models can be easily interpreted by human experts and this feature has great practical importance.

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APA: Copy

PIRI SAHRAGARD, H., ZAREA CHAHOOKI, M.A., & AZARNIVAND, H.. (2017). APPLICATION OF THE MAXIMUM ENTROPY METHOD IN MODELING PREDICTION OF PLANT HABITATS DISTRIBUTION (CASE STUDY: RANGELANDS OF QOM PROVINCE). JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 69(4), 819-834. SID. https://sid.ir/paper/162427/en

Vancouver: Copy

PIRI SAHRAGARD H., ZAREA CHAHOOKI M.A., AZARNIVAND H.. APPLICATION OF THE MAXIMUM ENTROPY METHOD IN MODELING PREDICTION OF PLANT HABITATS DISTRIBUTION (CASE STUDY: RANGELANDS OF QOM PROVINCE). JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2017;69(4):819-834. Available from: https://sid.ir/paper/162427/en

IEEE: Copy

H. PIRI SAHRAGARD, M.A. ZAREA CHAHOOKI, and H. AZARNIVAND, “APPLICATION OF THE MAXIMUM ENTROPY METHOD IN MODELING PREDICTION OF PLANT HABITATS DISTRIBUTION (CASE STUDY: RANGELANDS OF QOM PROVINCE),” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 69, no. 4, pp. 819–834, 2017, [Online]. Available: https://sid.ir/paper/162427/en

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