@inproceedings{7dd00633e3044a9f9cbf20d16bc42aa5,
title = "Characterizing forest fire activity in Turkey by compound Poisson and time series models",
abstract = "Large forest fires are major disturbances that strongly influence the carbon cycling and vegetation dynamics of Turkish ecosystems. We suggest that compound Poisson model could provide suitable description for the total annual area burned by forest fires and for fire size distribution in Turkey. This paper also provides a time series model that reveals trends in annual number of fires and area burned in Turkey. We support this argument using forest fires occurred in Turkey between 1937 and 2009. We also find that the Poisson model simulates large fire occurrences well and the total burned area is modeled by a compound Poisson process.",
keywords = "area burned, compound Poisson process, forest fires, time series analysis",
author = "{\c C}ekim, \{Hatice {\"O}\} and Cem Kadilar and Gamze {\"O}zel",
year = "2013",
doi = "10.1063/1.4825789",
language = "English",
isbn = "9780735411845",
series = "AIP Conference Proceedings",
pages = "1442--1445",
booktitle = "11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013",
note = "11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013 ; Conference date: 21-09-2013 Through 27-09-2013",
}