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Modeling of the Spatial Distribution of Forest Carbon Storage in a Tropical/Subtropical Island with Multiple Ecozones.
Chang, Ting-Wei; Chen, Guan-Fu; Chang, Ken-Hui.
Afiliação
  • Chang TW; Department of Environmental and Life Sciences, University of Shizuoka, 52-1 Yada, Suruga Dist., Shizuoka 422-8526, Japan.
  • Chen GF; Department of Safety, Health and Environmental Engineering, National Yunlin University of Science & Technology, 123 University Road, Section 3, Douliu, Yunlin 64002, Taiwan.
  • Chang KH; Department of Safety, Health and Environmental Engineering, National Yunlin University of Science & Technology, 123 University Road, Section 3, Douliu, Yunlin 64002, Taiwan.
Plants (Basel) ; 12(15)2023 Jul 26.
Article em En | MEDLINE | ID: mdl-37570931
Visual data on the geographic distribution of carbon storage help policy makers to formulate countermeasures for global warming. However, Taiwan, as an island showing diversity in climate and topography, had lacked valid visual data on the distribution of forest carbon storage between the last two forest surveys (1993-2015). This study established a model to estimate and illustrate the distribution of forest carbon storage. This model uses land use, stand morphology, and carbon conversion coefficient databases accordingly for 51 types of major forests in Taiwan. An estimation in 2006 was conducted and shows an overall carbon storage of 165.65 Mt C, with forest carbon storage per unit area of 71.56 t C ha-1, where natural forests and plantations respectively contributed 114.15 Mt C (68.9%) and 51.50 Mt C (31.1%). By assuming no change in land use type, the carbon sequestration from 2006 to 2007 by the 51 forest types was estimated to be 5.21 Mt C yr-1 using historical tree growth and mortality rates. The result reflects the reality of the land use status and the events of coverage shifting with time by combining the two forest surveys in Taiwan.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Plants (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Plants (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão
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