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Erschienen in: Environmental Management 3/2011

01.09.2011

Deforestation Projections for Carbon-Rich Peat Swamp Forests of Central Kalimantan, Indonesia

verfasst von: Douglas O. Fuller, Martin Hardiono, Erik Meijaard

Erschienen in: Environmental Management | Ausgabe 3/2011

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Abstract

We evaluated three spatially explicit land use and cover change (LUCC) models to project deforestation from 2005–2020 in the carbon-rich peat swamp forests (PSF) of Central Kalimantan, Indonesia. Such models are increasingly used to evaluate the impact of deforestation on carbon fluxes between the biosphere and the atmosphere. We considered both business-as-usual (BAU) and a forest protection scenario to evaluate each model’s accuracy, sensitivity, and total projected deforestation and landscape-level fragmentation patterns. The three models, Dinamica EGO (DE), GEOMOD and the Land Change Modeler (LCM), projected similar total deforestation amounts by 2020 with a mean of 1.01 million ha (Mha) and standard deviation of 0.17 Mha. The inclusion of a 0.54 Mha strict protected area in the LCM simulations reduced projected loss to 0.77 Mha over 15 years. Calibrated parameterizations of the models using nearly identical input drivers produced very different landscape properties, as measured by the number of forest patches, mean patch area, contagion, and Euclidean nearest neighbor determined using Fragstats software. The average BAU outputs of the models suggests that Central Kalimantan may lose slightly less than half (45.1%) of its 2005 PSF by 2020 if measures are not taken to reduce deforestation there. The relatively small reduction of 0.24 Mha in deforestation found in the 0.54 Mha protection scenario suggests that these models can identify potential leakage effects in which deforestation is forced to occur elsewhere in response to a policy intervention.

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Metadaten
Titel
Deforestation Projections for Carbon-Rich Peat Swamp Forests of Central Kalimantan, Indonesia
verfasst von
Douglas O. Fuller
Martin Hardiono
Erik Meijaard
Publikationsdatum
01.09.2011
Verlag
Springer-Verlag
Erschienen in
Environmental Management / Ausgabe 3/2011
Print ISSN: 0364-152X
Elektronische ISSN: 1432-1009
DOI
https://doi.org/10.1007/s00267-011-9643-2

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