• Medientyp: E-Artikel
  • Titel: Variation in soil organic carbon stocks in Singapore with forest succession and land management
  • Beteiligte: Kleine, Michael; Ghosh, Subhadip; Leitgeb, Ernst; Berger, Ambros; Ibrahim, Hassan bin; Gschwantner, Thomas; Ow, Lai Fern; Michel, Kerstin
  • Erschienen: Cambridge University Press (CUP), 2022
  • Erschienen in: Journal of Tropical Ecology
  • Sprache: Englisch
  • DOI: 10.1017/s0266467422000177
  • ISSN: 0266-4674; 1469-7831
  • Schlagwörter: Ecology, Evolution, Behavior and Systematics
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Land-use changes and forest management decisions can profoundly alter soil organic carbon (SOC) stocks. Therefore, the objective of this study was to investigate whether existing SOC stocks in the forests of Singapore can be related to successional stages of forest vegetation following disturbances. A forest classification system was developed using information about land use history and vegetation data from 21 inventory plots collected within the framework of Singapore’s IPCC-compatible greenhouse gas reporting system. The forest successional classes obtained were related to SOC stocks (0–50 cm) determined on the same plots. The inventory plots were assigned to four classes. Primary forests (Class 1) were dominated by late succession native species. Secondary forests representing natural forest succession (Class 2) contained younger native trees and a few large trees. Secondary forests after tree plantation/fruit orchard (Class 3) and after agricultural crop cultivation (Class 4) were characterised by large proportions of exotic tree species. Maximum stocks of SOC declined from Class 1 (127.7 Mg ha<jats:sup>−1</jats:sup>) to Class 4 (35.2 Mg ha<jats:sup>−1</jats:sup>). The results of a principal component analysis confirmed our forest classification. Plant-related parameters can be successfully used to classify the forests in Singapore, which also show clear differences in SOC.</jats:p>