Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 543464
Title Carbon storage potential in degraded forests of Kalimantan, Indonesia
Author(s) Ferraz, António; Saatchi, Sassan; Xu, Liang; Hagen, Stephen; Chave, Jerome; Yu, Yifan; Meyer, Victoria; Garcia, Mariano; Silva, Carlos; Roswintiart, Orbita; Samboko, Ari; Sist, Plinio; Walker, Sarah; Pearson, Timothy R.H.; Wijaya, Arief; Sullivan, Franklin B.; Rutishauser, Ervan; Hoekman, Dirk; Ganguly, Sangram
Source Environmental Research Letters 13 (2018)9. - ISSN 1748-9318
DOI https://doi.org/10.1088/1748-9326/aad782
Department(s) WIMEK
Water Systems and Global Change
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) aboveground biomass mapping - airborne lidar - carbon - forest degradation - Indonesia - Kalimantan - peat swamp forests
Abstract

The forests of Kalimantan are under severe pressure from extensive land use activities dominated by logging, palm oil plantations, and peatland fires. To implement the forest moratorium for mitigating greenhouse gas emissions, Indonesia's government requires information on the carbon stored in forests, including intact, degraded, secondary, and peat swamp forests. We developed a hybrid approach of producing a wall-to-wall map of the aboveground biomass (AGB) of intact and degraded forests of Kalimantan at 1 ha grid cells by combining field inventory plots, airborne lidar samples, and satellite radar and optical imagery. More than 110 000 ha of lidar data were acquired to systematically capture variations of forest structure and more than 104 field plots to develop lidar-biomass models. The lidar measurements were converted into biomass using models developed for 66 439 ha of drylands and 44 250 ha of wetland forests. By combining the AGB map with the national land cover map, we found that 22.3 Mha (106 ha) of forest remain on drylands ranging in biomass from 357.2 ±12.3 Mgha-1 in relatively intact forests to 134.2 ±6.1 Mgha-1 in severely degraded forests. The remaining peat swamp forests are heterogeneous in coverage and degradation level, extending over 3.62 Mha and having an average AGB of 211.8 ±12.7 Mgha-1. Emission factors calculated from aboveground biomass only suggest that the carbon storage potential of more than 15 Mha of degraded and secondary dryland forests will be about 1.1 PgC.

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