DocumentCode
2719621
Title
Simulating the carbon storage of spruce forests based on the FORECAST model and remotely sensed data
Author
Jie, Chengyue ; Jiang, Hong ; Zhou, Guomo ; Wei, Xiaohua ; Blanco, Juan ; Jiang, Zishan ; Xin, Zanhong
Author_Institution
State Key Lab. of Subtropical Forest Sci., Zhejiang Agric. & Forestry Univ., Hangzhou, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
6
Abstract
Spruce (Picea asperata) is a special species of China, it is the main tree building species of high mountains in Sichuan, and plays an important role in the restoration of degraded ecosystems in sub-alpine areas in western China. In this study, impacts of different rotation lengths on carbon storage over 480 years were simulated using the ecosystem Model FORECAST for spruce, FORECAST_SPRUCE. Four rotation lengths were set up; include 40, 80, 120 and 160-year rotation. Results suggested that the sustainable management strategies for maintaining long-term site productivity in spruce forest would be 120-160-year rotation lengths under stem-only harvesting. The stem carbon accumulation and total tree carbon accumulation are the highest under 80-year rotation. And the soil carbon storage declines, no matter which rotation length we choose, but the degree of the regeneration becomes less as the rotation length gets longer. The spatial distribution of spruce forest production and carbon sequestration capacity show the higher site quality and net primary productivity in Southwest Sichuan.
Keywords
climate mitigation; ecology; geochemistry; remote sensing; soil; vegetation; FORECAST model; FORECAST_SPRUCE; Picea asperata; carbon sequestration capacity; ecosystems; long-term site productivity; net primary productivity; rotation lengths; soil carbon storage; southwest Sichuan; spatial distribution; spruce forest production; stem carbon accumulation; stem-only harvesting; subalpine areas; sustainable management strategies; total tree carbon accumulation; tree building species; western China; Biological system modeling; Biomass; Carbon; Ecosystems; Predictive models; Soil; Vegetation; Carbon sequestration; Carbon storage; China; FORECAST; Spruce;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981581
Filename
5981581
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