摘要：The Indonesian islands of Sumatera and Kalimantan (the Indonesian part of the island of
Borneo) are a center of significant and rapid forest cover loss in the humid tropics with
implications for carbon dynamics, biodiversity conservation, and local livelihoods. The aim
of our research was to analyze and interpret annual trends of forest cover loss for different
sub-regions of the study area. We mapped forest cover loss for 2000–2008 using
multi-resolution remote sensing data from the Landsat enhanced thematic mapper plus (ETM +) and moderate resolution imaging spectroradiometer (MODIS) sensors and analyzed
annual trends per island, province, and official land allocation zone. The total forest cover
loss for Sumatera and Kalimantan 2000–2008 was 5.39 Mha, which represents
5.3% of the land area and 9.2% of the year 2000 forest cover of these two islands.
At least 6.5% of all mapped forest cover loss occurred in land allocation zones
prohibiting clearing. An additional 13.6% of forest cover loss occurred where clearing is
legally restricted. The overall trend of forest cover loss increased until 2006 and
decreased thereafter. The trends for Sumatera and Kalimantan were distinctly
different, driven primarily by the trends of Riau and Central Kalimantan provinces,
respectively. This analysis shows that annual mapping of forest cover change yields
a clearer picture than a one-time overall national estimate. Monitoring forest
dynamics is important for national policy makers, especially given the commitment of
Indonesia to reducing greenhouse gas emissions as part of the reducing emissions
from deforestation and forest degradation in developing countries initiative (REDD +). The improved spatio-temporal detail of forest change monitoring products
will make it possible to target policies and projects in meeting this
commitment. Accurate, annual forest cover loss maps will be integral to many
REDD + objectives, including policy formulation, definition of baselines, detection of displacement,
and the evaluation of the permanence of emission reduction.
