Habitat distribution modeling species ranges southern of Golestan province with Logistic regression

Document Type : Research

Authors

1 Graduate Master of Pasture, Faculty of Agriculture and Natural Resources, Ghonbad Kavoos University

2 Professor of Faculty of Natural Resources, University of Tehran

3 Assistant Professor, Faculty of Agriculture and Natural Resources, Ghonbad Kavoos University

4 Associate Professor, Faculty of Agriculture and Natural Resources, Ghonbad Kavoos University

Abstract

The purpose of this study is to model the distribution of grassland habitats province of Chaharbagh. To this end, sampling of vegetation was systematic-random method that  at each site three transects of 50 m was considered. Along each transect, 10 plots of one square meter was placed at a distance of 5 meters.30 plots in each vegetation type and total of 150 plots were carried out. The soil samples were taken at a depth of 0-30 cm. Soil characteristics include the amount of sand, clay content, silt content, lime, gypsum, Ec, pH, electrical conductivity was measured and physiographic factors of slope, aspect and elevation were recorded. After collecting data using logistic regression, the relationship between the plant types and environmental factors were assessed. For predictive mapping of vegetation is necessary to prepare maps of all the factors included in the models, so we used geostatistical methods for mapping soil properties. By the design of the models, with the help of GIS, the predicted distribution maps for each species were obtained. To evaluate the fit of the model predictions with actual map vegetation types, was used  kappa index. The coefficient of Artemisia aucheri type equale ./80, The type Festuca.ovina-Astragalus.gossypinus equale ./98, Bromus.tomentellus type equale ./61 And the type Bromus.tomentellus-Festuca.ovina equale ./57, this model showed The type Festuca.ovina-Astragalus.gossypinus  had the most accuracy and Bromus.tomentellus-Festuca.ovina type had the least accuracy in the production of habitat maps.

Keywords

Watershed Management Research
Volume 28, Issue 3 - Serial Number 108
September 2015
Pages 53-61

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History

  • Receive Date: 24 February 2014
  • Revise Date: 20 August 2014
  • Accept Date: 22 September 2014

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