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MODIS Based Estimation of Forest Aboveground Biomass in China.

Yin G, Zhang Y, Sun Y, Wang T, Zeng Z, Piao S - PLoS ONE (2015)

Bottom Line: The mean forest aboveground biomass density is 56.1 Mg C ha-1, with high values observed in temperate humid regions.The responses of forest aboveground biomass density to mean annual temperature are closely tied to water conditions; that is, negative responses dominate regions with mean annual precipitation less than 1300 mm y-1 and positive responses prevail in regions with mean annual precipitation higher than 2800 mm y-1.During the 2000s, the forests in China sequestered C by 61.9 Tg C y-1, and this C sink is mainly distributed in north China and may be attributed to warming climate, rising CO2 concentration, N deposition, and growth of young forests.

View Article: PubMed Central - PubMed

Affiliation: College of Urban and Environmental Sciences, Peking University, Beijing, China.

ABSTRACT
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, current estimates of Chinese forest biomass are mostly based on inventory-based timber volumes and empirical conversion factors at the provincial scale, which could introduce large uncertainties in forest biomass estimation. Here we provide a data-driven estimate of Chinese forest aboveground biomass from 2001 to 2013 at a spatial resolution of 1 km by integrating a recently reviewed plot-level ground-measured forest aboveground biomass database with geospatial information from 1-km Moderate-Resolution Imaging Spectroradiometer (MODIS) dataset in a machine learning algorithm (the model tree ensemble, MTE). We show that Chinese forest aboveground biomass is 8.56 Pg C, which is mainly contributed by evergreen needle-leaf forests and deciduous broadleaf forests. The mean forest aboveground biomass density is 56.1 Mg C ha-1, with high values observed in temperate humid regions. The responses of forest aboveground biomass density to mean annual temperature are closely tied to water conditions; that is, negative responses dominate regions with mean annual precipitation less than 1300 mm y-1 and positive responses prevail in regions with mean annual precipitation higher than 2800 mm y-1. During the 2000s, the forests in China sequestered C by 61.9 Tg C y-1, and this C sink is mainly distributed in north China and may be attributed to warming climate, rising CO2 concentration, N deposition, and growth of young forests.

No MeSH data available.


Spatial distribution of the change in forest AGBD.The change in AGBD is calculated as the difference between the period 2011–2013 and the period 2001–2003.
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pone.0130143.g005: Spatial distribution of the change in forest AGBD.The change in AGBD is calculated as the difference between the period 2011–2013 and the period 2001–2003.

Mentions: Over the past decade, mean Chinese forest AGBD has increased by 4.6 Mg C ha-1, resulting in an increase of aboveground biomass C stock by 61.9 Tg C y-1. However, changes the in forest AGBD display large spatial heterogeneity (Fig 5). In regions north of 30°N, about 65% of forests show an increase of AGBD. The highest increase of AGBD is located in mountains of the northeast China and Mts Qinling, with values larger than 10 Mg C ha-1. The total aboveground biomass C sink in this region is 47.4 Tg C y-1, accounting for 77% of Chinese total forest aboveground biomass C sink. By contrast, forests located south of 30°N showed a mosaic pattern of the increase and decrease in AGBD. A widespread increase of AGBD is mainly found in Hunan and Guangxi provinces, and a large-area decrease is found in Yunnan and Guizhou provinces. The total aboveground biomass C sink in this region is 14.5 Tg C y-1, occupying 23% of the whole country’s forest biomass C sink.


MODIS Based Estimation of Forest Aboveground Biomass in China.

Yin G, Zhang Y, Sun Y, Wang T, Zeng Z, Piao S - PLoS ONE (2015)

Spatial distribution of the change in forest AGBD.The change in AGBD is calculated as the difference between the period 2011–2013 and the period 2001–2003.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4482713&req=5

pone.0130143.g005: Spatial distribution of the change in forest AGBD.The change in AGBD is calculated as the difference between the period 2011–2013 and the period 2001–2003.
Mentions: Over the past decade, mean Chinese forest AGBD has increased by 4.6 Mg C ha-1, resulting in an increase of aboveground biomass C stock by 61.9 Tg C y-1. However, changes the in forest AGBD display large spatial heterogeneity (Fig 5). In regions north of 30°N, about 65% of forests show an increase of AGBD. The highest increase of AGBD is located in mountains of the northeast China and Mts Qinling, with values larger than 10 Mg C ha-1. The total aboveground biomass C sink in this region is 47.4 Tg C y-1, accounting for 77% of Chinese total forest aboveground biomass C sink. By contrast, forests located south of 30°N showed a mosaic pattern of the increase and decrease in AGBD. A widespread increase of AGBD is mainly found in Hunan and Guangxi provinces, and a large-area decrease is found in Yunnan and Guizhou provinces. The total aboveground biomass C sink in this region is 14.5 Tg C y-1, occupying 23% of the whole country’s forest biomass C sink.

Bottom Line: The mean forest aboveground biomass density is 56.1 Mg C ha-1, with high values observed in temperate humid regions.The responses of forest aboveground biomass density to mean annual temperature are closely tied to water conditions; that is, negative responses dominate regions with mean annual precipitation less than 1300 mm y-1 and positive responses prevail in regions with mean annual precipitation higher than 2800 mm y-1.During the 2000s, the forests in China sequestered C by 61.9 Tg C y-1, and this C sink is mainly distributed in north China and may be attributed to warming climate, rising CO2 concentration, N deposition, and growth of young forests.

View Article: PubMed Central - PubMed

Affiliation: College of Urban and Environmental Sciences, Peking University, Beijing, China.

ABSTRACT
Accurate estimation of forest biomass C stock is essential to understand carbon cycles. However, current estimates of Chinese forest biomass are mostly based on inventory-based timber volumes and empirical conversion factors at the provincial scale, which could introduce large uncertainties in forest biomass estimation. Here we provide a data-driven estimate of Chinese forest aboveground biomass from 2001 to 2013 at a spatial resolution of 1 km by integrating a recently reviewed plot-level ground-measured forest aboveground biomass database with geospatial information from 1-km Moderate-Resolution Imaging Spectroradiometer (MODIS) dataset in a machine learning algorithm (the model tree ensemble, MTE). We show that Chinese forest aboveground biomass is 8.56 Pg C, which is mainly contributed by evergreen needle-leaf forests and deciduous broadleaf forests. The mean forest aboveground biomass density is 56.1 Mg C ha-1, with high values observed in temperate humid regions. The responses of forest aboveground biomass density to mean annual temperature are closely tied to water conditions; that is, negative responses dominate regions with mean annual precipitation less than 1300 mm y-1 and positive responses prevail in regions with mean annual precipitation higher than 2800 mm y-1. During the 2000s, the forests in China sequestered C by 61.9 Tg C y-1, and this C sink is mainly distributed in north China and may be attributed to warming climate, rising CO2 concentration, N deposition, and growth of young forests.

No MeSH data available.