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Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC
by
Zhang, Ying
, Sun, Jianfeng
, Qin, Weishan
, Chai, Guoqi
in
Carbon
/ Carbon neutrality
/ Carbon sequestration
/ Carbon sinks
/ China
/ Climate change
/ Climatic data
/ Ecosystems
/ Environmental economics
/ Environmental restoration
/ forest carbon stocks
/ Forest management
/ Forestry
/ Forests
/ Global climate
/ Land use
/ LUCC
/ Precipitation
/ Remote sensing
/ simulation
/ spatiotemporal evolution
/ temporal variation
/ Timber
/ Trends
/ Vegetation
2022
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Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC
by
Zhang, Ying
, Sun, Jianfeng
, Qin, Weishan
, Chai, Guoqi
in
Carbon
/ Carbon neutrality
/ Carbon sequestration
/ Carbon sinks
/ China
/ Climate change
/ Climatic data
/ Ecosystems
/ Environmental economics
/ Environmental restoration
/ forest carbon stocks
/ Forest management
/ Forestry
/ Forests
/ Global climate
/ Land use
/ LUCC
/ Precipitation
/ Remote sensing
/ simulation
/ spatiotemporal evolution
/ temporal variation
/ Timber
/ Trends
/ Vegetation
2022
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Do you wish to request the book?
Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC
by
Zhang, Ying
, Sun, Jianfeng
, Qin, Weishan
, Chai, Guoqi
in
Carbon
/ Carbon neutrality
/ Carbon sequestration
/ Carbon sinks
/ China
/ Climate change
/ Climatic data
/ Ecosystems
/ Environmental economics
/ Environmental restoration
/ forest carbon stocks
/ Forest management
/ Forestry
/ Forests
/ Global climate
/ Land use
/ LUCC
/ Precipitation
/ Remote sensing
/ simulation
/ spatiotemporal evolution
/ temporal variation
/ Timber
/ Trends
/ Vegetation
2022
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Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC
Journal Article
Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC
2022
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Overview
Forest carbon sinks (FCS) play an important role in mitigating global climate change, but there is a lack of more accurate, comprehensive, and efficient forest carbon stock estimates and projections for larger regions. By combining 1980–2020 land use data from the Northeast China Forestry (NCF) and climate change data under the Shared Socioeconomic Pathway (SSP), the land use and cover change (LUCC) of NCF in 2030 and 2050 and the FCS of NCF were estimated based on the measured data of forest carbon density. In general, the forest area of NCF has not yet recovered to the level of 1980. The temporal change in the FCS experienced a U-shaped trend of sharp decline to slow increase, with the inflection point occurring in 2010. If strict ecological conservation measures are implemented, the FCS of the NCF is expected to recover to the 1980 levels by 2050. We believe that the ecological priority (EP) scenario is the most likely and suitable direction for future development of the NCF. We also advocate for more scientific and stringent management measures for NCF natural forests to unlock the huge potential for forest carbon sequestration, which is important for China to meet its carbon neutrality commitments.
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