Darmawan, Arief and Tsuyuki, Satoshi (2015) Simulating Future Land-Cover Change : A Probabilistic Cellular Automata Model Approach. In: Collaborative Governance of Forests: Towards Sustainable Forest Resource Utilization. The University of Tokyo Press, Tokyo, Japan, pp. 273-290. ISBN 978-9971-69-862-1

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Abstract

Understanding human- or climate-induced changes of a tropical environment requires knowledge of the current status of landscape, the extent of land-cover types vulnerable to change, and the causes and impacts of such changes. Monitoring land-use and land-cover change (LULCC) is definitely the very first step for understanding the past and current states of our environment. Timely series and accurate change detection of the Earth’s surface provide historical land-cover change information as a result of interactions between human and natural phenomena. Knowledge of historical land-cover change preserves important information to foresee future changes using a modeling approach. Modeling and simulating land-cover change can provide an outlook of what, where, why, and how to mitigate future LULCC under any condition. Moreover, modeling approach is a prerequisite within the post-Kyoto Protocol climate change mitigation regime, e.g., Reducing Emissions from Deforestation and Forest Degradation Plus, for forecasting business-as-usual emission or reference emission level.

Item Type:	Book Section
Subjects:	S Agriculture > SD Forestry
Divisions:	Fakultas Pertanian (FP) > Prodi Kehutanan
Depositing User:	Dr. Arief Darmawan
Date Deposited:	12 Jun 2017 02:11
Last Modified:	12 Jun 2017 02:11
URI:	http://repository.lppm.unila.ac.id/id/eprint/3447

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