Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan

The present study aimed at preparing the potential distribution map and identifiying the environmental requirement of Prosopis farcta L. using tree-based and regression methods in the marginal rangeland of Niatak river in Sistan region. For this purpose, species presence data was recorded randomly....

Full description

Bibliographic Details
Main Authors: Vahid Azimi, Hossein Piri Sahragard, Peyman Karami, Morteza Saberi
Format: Article
Language:fas
Published: Iranian Scientific Association of Desert Management and Control (ISADMC) 2022-05-01
Series:مدیریت بیابان
Subjects:
Online Access:http://www.jdmal.ir/article_251955_efaee2cb639d197d311304bb20c30867.pdf
_version_ 1811161568811941888
author Vahid Azimi
Hossein Piri Sahragard
Peyman Karami
Morteza Saberi
author_facet Vahid Azimi
Hossein Piri Sahragard
Peyman Karami
Morteza Saberi
author_sort Vahid Azimi
collection DOAJ
description The present study aimed at preparing the potential distribution map and identifiying the environmental requirement of Prosopis farcta L. using tree-based and regression methods in the marginal rangeland of Niatak river in Sistan region. For this purpose, species presence data was recorded randomly. Environmental variables were prepared using field sampling and digital elevation model. In order to achieve the pseudo-absence points, first habitat modeling was performed using the domain model, then pseudo-absence points were prepared using the prediction map obtained from this method. Species distribution modelling was conducted using random forest (RF), classification and regression trees (CART) and generalized additive model (GAM). The accuracy of the models used was evaluated using the area under curve criterion. Result showed that the RF with area under curve 0.98 has the highest accuracy. Generalized additive models and classification and regression trees were ranked after RF. The highest and lowest values of kappa index were assigned to the RF with 0.75, and GAM with 0.43 Kappa value. Accordingly, the RF model is the most accurate model in predicting the potential habitat distribution. Analysis of the variable’s importance showed that in the studied scale, edafic factors and distance from the river have greater effect on species distribution than other factors. So that, in all models used, acidity and electrical conductivity were identified as the most important variables. In general, it is suggested that habitat development plans for Prosopis farcta should be planned in the central and marginal parts of the Niatek river due to better suitability of these regions for species distribution.
first_indexed 2024-04-10T06:16:31Z
format Article
id doaj.art-ab73323e01434000b10078d352cfe4fb
institution Directory Open Access Journal
issn 2476-3985
2476-3721
language fas
last_indexed 2024-04-10T06:16:31Z
publishDate 2022-05-01
publisher Iranian Scientific Association of Desert Management and Control (ISADMC)
record_format Article
series مدیریت بیابان
spelling doaj.art-ab73323e01434000b10078d352cfe4fb2023-03-02T06:53:19ZfasIranian Scientific Association of Desert Management and Control (ISADMC)مدیریت بیابان2476-39852476-37212022-05-01101536610.22034/jdmal.2022.548628.1374251955Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of SistanVahid Azimi0Hossein Piri Sahragard1Peyman Karami2Morteza Saberi3MSc Graduated of Range management, Range and Watershed department, Water and Soil College, University of Zabol, Zabol, Iran.Associate professor, Soil and Water College, Range and Watershed Department, University of Zabol, Zabol, Iran.Ph D Graduated of environmental science, University of Malayer, Hamedan, Iran.Assistant professor, Soil and Water College, Range and Watershed Department, University of Zabol, Zabol, Iran.The present study aimed at preparing the potential distribution map and identifiying the environmental requirement of Prosopis farcta L. using tree-based and regression methods in the marginal rangeland of Niatak river in Sistan region. For this purpose, species presence data was recorded randomly. Environmental variables were prepared using field sampling and digital elevation model. In order to achieve the pseudo-absence points, first habitat modeling was performed using the domain model, then pseudo-absence points were prepared using the prediction map obtained from this method. Species distribution modelling was conducted using random forest (RF), classification and regression trees (CART) and generalized additive model (GAM). The accuracy of the models used was evaluated using the area under curve criterion. Result showed that the RF with area under curve 0.98 has the highest accuracy. Generalized additive models and classification and regression trees were ranked after RF. The highest and lowest values of kappa index were assigned to the RF with 0.75, and GAM with 0.43 Kappa value. Accordingly, the RF model is the most accurate model in predicting the potential habitat distribution. Analysis of the variable’s importance showed that in the studied scale, edafic factors and distance from the river have greater effect on species distribution than other factors. So that, in all models used, acidity and electrical conductivity were identified as the most important variables. In general, it is suggested that habitat development plans for Prosopis farcta should be planned in the central and marginal parts of the Niatek river due to better suitability of these regions for species distribution.http://www.jdmal.ir/article_251955_efaee2cb639d197d311304bb20c30867.pdfdistribution modelingthresholdrandom forestsoil propertiesdistance from the river
spellingShingle Vahid Azimi
Hossein Piri Sahragard
Peyman Karami
Morteza Saberi
Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan
مدیریت بیابان
distribution modeling
threshold
random forest
soil properties
distance from the river
title Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan
title_full Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan
title_fullStr Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan
title_full_unstemmed Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan
title_short Prediction of Potential Distribution of Prosopis Farcta L. in Marginal Rangelands of Niatak River of Sistan
title_sort prediction of potential distribution of prosopis farcta l in marginal rangelands of niatak river of sistan
topic distribution modeling
threshold
random forest
soil properties
distance from the river
url http://www.jdmal.ir/article_251955_efaee2cb639d197d311304bb20c30867.pdf
work_keys_str_mv AT vahidazimi predictionofpotentialdistributionofprosopisfarctalinmarginalrangelandsofniatakriverofsistan
AT hosseinpirisahragard predictionofpotentialdistributionofprosopisfarctalinmarginalrangelandsofniatakriverofsistan
AT peymankarami predictionofpotentialdistributionofprosopisfarctalinmarginalrangelandsofniatakriverofsistan
AT mortezasaberi predictionofpotentialdistributionofprosopisfarctalinmarginalrangelandsofniatakriverofsistan