Carbon accumulation of tropical peatlands over millennia: a modeling approach
Tropical peatlands cover an estimated 440 000 km2 (~10% of global peatland area) and are significant in the global carbon cycle by storing about 40–90 Gt C in peat. Over the past several decades, tropical peatlands have experienced high rates of deforestation and conversion, which is often associate...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/95433 |
| _version_ | 1855523577291341824 |
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| author | Kurnianto, S. Warren, M. Talbot, J. Kauffman, J.B. Murdiyarso, Daniel Frolking, S. |
| author_browse | Frolking, S. Kauffman, J.B. Kurnianto, S. Murdiyarso, Daniel Talbot, J. Warren, M. |
| author_facet | Kurnianto, S. Warren, M. Talbot, J. Kauffman, J.B. Murdiyarso, Daniel Frolking, S. |
| author_sort | Kurnianto, S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Tropical peatlands cover an estimated 440 000 km2 (~10% of global peatland area) and are significant in the global carbon cycle by storing about 40–90 Gt C in peat. Over the past several decades, tropical peatlands have experienced high rates of deforestation and conversion, which is often associated with lowering the water table and peat burning, releasing large amounts of carbon stored in peat to the atmosphere. We present the first model of long‐term carbon accumulation in tropical peatlands by modifying the Holocene Peat Model (HPM), which has been successfully applied to northern temperate peatlands. Tropical HPM (HPMTrop) is a one‐dimensional, nonlinear, dynamic model with a monthly time step that simulates peat mass remaining in annual peat cohorts over millennia as a balance between monthly vegetation inputs (litter) and monthly decomposition. Key model parameters were based on published data on vegetation characteristics, including net primary production partitioned into leaves, wood, and roots; and initial litter decomposition rates. HPMTrop outputs are generally consistent with field observations from Indonesia. Simulated long‐term carbon accumulation rates for 11 000‐year‐old inland, and 5 000‐year‐old coastal peatlands were about 0.3 and 0.59 Mg C ha−1 yr−1, and the resulting peat carbon stocks at the end of the 11 000‐year and 5 000‐year simulations were 3300 and 2900 Mg C ha−1, respectively. The simulated carbon loss caused by coastal peat swamp forest conversion into oil palm plantation with periodic burning was 1400 Mg C ha−1 over 100 years, which is equivalent to ~2900 years of C accumulation in a hectare of coastal peatlands. |
| format | Journal Article |
| id | CGSpace95433 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace954332025-06-17T08:23:38Z Carbon accumulation of tropical peatlands over millennia: a modeling approach Kurnianto, S. Warren, M. Talbot, J. Kauffman, J.B. Murdiyarso, Daniel Frolking, S. peatlands carbon sequestration land use palm oils Tropical peatlands cover an estimated 440 000 km2 (~10% of global peatland area) and are significant in the global carbon cycle by storing about 40–90 Gt C in peat. Over the past several decades, tropical peatlands have experienced high rates of deforestation and conversion, which is often associated with lowering the water table and peat burning, releasing large amounts of carbon stored in peat to the atmosphere. We present the first model of long‐term carbon accumulation in tropical peatlands by modifying the Holocene Peat Model (HPM), which has been successfully applied to northern temperate peatlands. Tropical HPM (HPMTrop) is a one‐dimensional, nonlinear, dynamic model with a monthly time step that simulates peat mass remaining in annual peat cohorts over millennia as a balance between monthly vegetation inputs (litter) and monthly decomposition. Key model parameters were based on published data on vegetation characteristics, including net primary production partitioned into leaves, wood, and roots; and initial litter decomposition rates. HPMTrop outputs are generally consistent with field observations from Indonesia. Simulated long‐term carbon accumulation rates for 11 000‐year‐old inland, and 5 000‐year‐old coastal peatlands were about 0.3 and 0.59 Mg C ha−1 yr−1, and the resulting peat carbon stocks at the end of the 11 000‐year and 5 000‐year simulations were 3300 and 2900 Mg C ha−1, respectively. The simulated carbon loss caused by coastal peat swamp forest conversion into oil palm plantation with periodic burning was 1400 Mg C ha−1 over 100 years, which is equivalent to ~2900 years of C accumulation in a hectare of coastal peatlands. 2015-01 2018-07-03T11:02:58Z 2018-07-03T11:02:58Z Journal Article https://hdl.handle.net/10568/95433 en Limited Access Wiley Kurnianto, S., Warren, M., Talbot, J., Kauffman, J.B., Murdiyarso, D., Frolking, S.. 2015. Carbon accumulation of tropical peatlands over millennia : a modeling approach. Global Change Biology, 21 (1) : 431-444. https://doi.org/10.1111/gcb.12672 |
| spellingShingle | peatlands carbon sequestration land use palm oils Kurnianto, S. Warren, M. Talbot, J. Kauffman, J.B. Murdiyarso, Daniel Frolking, S. Carbon accumulation of tropical peatlands over millennia: a modeling approach |
| title | Carbon accumulation of tropical peatlands over millennia: a modeling approach |
| title_full | Carbon accumulation of tropical peatlands over millennia: a modeling approach |
| title_fullStr | Carbon accumulation of tropical peatlands over millennia: a modeling approach |
| title_full_unstemmed | Carbon accumulation of tropical peatlands over millennia: a modeling approach |
| title_short | Carbon accumulation of tropical peatlands over millennia: a modeling approach |
| title_sort | carbon accumulation of tropical peatlands over millennia a modeling approach |
| topic | peatlands carbon sequestration land use palm oils |
| url | https://hdl.handle.net/10568/95433 |
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