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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.


Related in: MedlinePlus

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.


Related in: MedlinePlus