期刊名称：Advances in Environmental Sciences - International Journal of the Bioflux Society
印刷版ISSN：2066-7620
电子版ISSN：2065-7647
出版年度：2018
卷号：10
期号：2
页码：1-22
出版社：Bioflux
摘要：Riau is one of the provinces in Indonesia that often experience forest and land fires. Forest
and land fires cause enormous environmental, economic, and social losses and damages that even cause
disruption of political relationship between countries. This study aims to determine the relationship
between biophysical, socioeconomic, and policy factors in influencing the occurrence of forest and land
fires in Riau Province; develop spatial models of forest and land fires vulnerability; and formulate policies
on forest and land management and utilization to prevent forest and land fires occurrence. Based on the
result of research, the form of logistic regression model is g (x) = 3.57521783 - 0.0000694DIS_PEAT +
0.0001488DIS_RIV - 0.0001306DIS_JLN - 0.0003727DIS_LCFOR - 0.0000763DIS_LCFORP -
0.0000593DIS_LCPLAN + 0.0000604DIS_LCBUIL - 0.0000431DIS_LCUPLD + 0.0000264DIS_IUPHHK +
0.000024DIS_KKEBUN - 0.000074DISSKAPL + 0.0000276DIS_SKHL - 0.0000597DIS_SKHP -
0.0000775DIS_SKHPK - 0.0000653DIS_SKHPT, where R2 is 61.7%. Based on the model, it is known
that there is a correlation between forest and land fires variables in Riau Province to distance from 15
variables, i.e peatland, river, road, forest cover, plantation cover, plantation, settlement (built up area),
dry land, Timber Forest Product Utilization License, plantation concession, other use areas, protected
forest areas, production forests, conversion production forest and limited production forest. Logistic
Regression Model that formed can predict the probability of forest and land fires incident of 90.96%.
