Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district

The aim of this study was to present the fire ignition risk for Manavgat-Antalya District to enable the planning of firefighting sources in a more qualified way. From sites within the study area, where forest fires broke out or not during the past five years, we obtained geographical coordinates, cl...

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Main Authors: Coşkun Okan Güney, Kürşad Özkan, Özdemir Şentürk
Format: Article
Language:English
Published: İstanbul University 2016-07-01
Series:İstanbul Üniversitesi Orman Fakültesi Dergisi
Subjects:
Online Access:http://dx.doi.org/10.17099/jffiu.42696
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spelling doaj-9d6ccc00560b48d993e707786cea19be2020-11-24T21:30:51Zengİstanbul Universityİstanbul Üniversitesi Orman Fakültesi Dergisi0535-84180535-84182016-07-0166245947010.17099/jffiu.42696Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat districtCoşkun Okan Güney0Kürşad Özkan1Özdemir Şentürk2West Mediterranean Forestry Research Institute, 07010, Antalya, TurkeySuleyman Demirel University, Faculty of Forestry, Department of Soil Science Ecology, 32260, Isparta, TurkeyMehmet Akif Ersoy University, Golhisar Vocational School, 15400, Burdur, TurkeyThe aim of this study was to present the fire ignition risk for Manavgat-Antalya District to enable the planning of firefighting sources in a more qualified way. From sites within the study area, where forest fires broke out or not during the past five years, we obtained geographical coordinates, climate data, topographical data and variables like bedrock, stand types, settlement areas, roads and power lines and prepared them with geographical information systems. For all variables we performed Wilcoxon rank-sum test, interspecific correlation analysis and logistic regression analysis and obtained 4 different models. When ROC analysis was applied to these models, model 4 was determined as the most significant model and therefore used to prepare the fire ignition risk map for the Manavgat-Antalya District. According to this map, ignition risk within the study area was highest in and around settlement areas where roads and power lines concentrate and Turkish red pine is distributed, but it was lowest afar of settlement areas without roads and where species apart from Turkish red pine are distributed. According to the results some suggestions were made.http://dx.doi.org/10.17099/jffiu.42696Forest fireignition riskfire riskfire risk mapforest fıre occurrence probability
collection DOAJ
language English
format Article
sources DOAJ
author Coşkun Okan Güney
Kürşad Özkan
Özdemir Şentürk
spellingShingle Coşkun Okan Güney
Kürşad Özkan
Özdemir Şentürk
Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district
İstanbul Üniversitesi Orman Fakültesi Dergisi
Forest fire
ignition risk
fire risk
fire risk map
forest fıre occurrence probability
author_facet Coşkun Okan Güney
Kürşad Özkan
Özdemir Şentürk
author_sort Coşkun Okan Güney
title Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district
title_short Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district
title_full Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district
title_fullStr Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district
title_full_unstemmed Modelling of spatial prediction of fire ignition risk in the Antalya-Manavgat district
title_sort modelling of spatial prediction of fire ignition risk in the antalya-manavgat district
publisher İstanbul University
series İstanbul Üniversitesi Orman Fakültesi Dergisi
issn 0535-8418
0535-8418
publishDate 2016-07-01
description The aim of this study was to present the fire ignition risk for Manavgat-Antalya District to enable the planning of firefighting sources in a more qualified way. From sites within the study area, where forest fires broke out or not during the past five years, we obtained geographical coordinates, climate data, topographical data and variables like bedrock, stand types, settlement areas, roads and power lines and prepared them with geographical information systems. For all variables we performed Wilcoxon rank-sum test, interspecific correlation analysis and logistic regression analysis and obtained 4 different models. When ROC analysis was applied to these models, model 4 was determined as the most significant model and therefore used to prepare the fire ignition risk map for the Manavgat-Antalya District. According to this map, ignition risk within the study area was highest in and around settlement areas where roads and power lines concentrate and Turkish red pine is distributed, but it was lowest afar of settlement areas without roads and where species apart from Turkish red pine are distributed. According to the results some suggestions were made.
topic Forest fire
ignition risk
fire risk
fire risk map
forest fıre occurrence probability
url http://dx.doi.org/10.17099/jffiu.42696
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AT kursadozkan modellingofspatialpredictionoffireignitionriskintheantalyamanavgatdistrict
AT ozdemirsenturk modellingofspatialpredictionoffireignitionriskintheantalyamanavgatdistrict
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