CD Disertasi

Model Spasial Kebakaran Hutan Dan Lahan Di Provinsi Riau

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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. Some research results indicate that forest and land fires are caused by various environmental factors such as climate, land cover conditions, soil types and other bio-physical environmental factors; socioeconomic factors and policy factors that can enhance human interaction with forests and land. The number of land use conversion activities caused by the socio-economic condition of the people and land tenure policy is the main cause of the high number of forest fires in Indonesia. It is therefore necessary to reform forestry policies and land-use-based land-use arrangements, especially in high-vulnerable ecosystems such as peatlands.
This research was conducted in all districts in Riau Province with the consideration that almost all areas in Riau Province affected by forest and land fires occur every year. his 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.
This research method is to analyze the secondary data that has been collected and conduct the field observation method to get the model validation data. The research stages consist of 1) environmental biophysical, socioeconomic community and government policy data collection, 2) forest and land fires spatial analysis, 3) spatial modeling, and 4) modeling results validation.
Based on the result of research, the form of logistic regression model is Z=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- 0.000074DIS_SKAPL + 0.0000276DIS_SKHL - 0.0000597DIS_SKHP - 0.0000775DIS_SKHPK - 00.0000653 DIS_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, ie 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%.

Number of references 57 pieces (issued from 1968 to 2017)

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

10 01. 319 (0012)

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Disertasi Ilmu Lingkungan., 2019

Deskripsi Fisik

xvii, 82 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

10 01. 319 (0012)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

PASCASARJANA (DISERTASI) ILMU LINGKUNGAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

Lampiran Berkas

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