CO2 concentrations at different heights in a broadleaved/Korean forest (with a mean height of 26 m) were measured with infrared gas analyzer IRGA (model 2250D, LI-COR Inc. and LI-COR, 820) from Aug. to Oct. of 1999, A...CO2 concentrations at different heights in a broadleaved/Korean forest (with a mean height of 26 m) were measured with infrared gas analyzer IRGA (model 2250D, LI-COR Inc. and LI-COR, 820) from Aug. to Oct. of 1999, Apr. to Jul. of 2000, and from Aug. 2002 to Sept. 2003. Based on the collected dada, the diurnal and seasonal dynamics of profiles and storage of carbon dioxide in the forest were analyzed. The diurnal CO2 profiles showed that the vertical distribution of CO2 concentration were different for daytime and nighttime, and the CO2 concentration was highest close to forest floor, no matter at daytime and nighttime. The seasonal profiles of CO2 showed that stratification in the canopy was evident during growth season. CO2 concentrations at different heights (60 m to 2.5 m) had a little change in March, with a difference of 10 mmolmol-1, but had a significant change in July, with a difference of 60 mmolmol-1. In July, there also existed a greater gradient of CO2 concentrations at canopy (22, 26 and 32 m), with a difference of 8 mmolmol-1. The calculated total storage (ΔC/Δt ) of CO2 in the air column with height of 40 m beneath eddy covariance instrument was negative, and made a little contribution to NEE.展开更多
A study was conducted to characterize the land use,biomass and carbon status of dry tropical forest in Raipur district of Chhattisgarh,India using satellite remote sensing data and GIS techniques in the year of 2001-2...A study was conducted to characterize the land use,biomass and carbon status of dry tropical forest in Raipur district of Chhattisgarh,India using satellite remote sensing data and GIS techniques in the year of 2001-2002.The main forest types observed in the area are Teak forest,mixed forest,degraded forest and Sal mixed forest.The aspect and slope of the sites influenced the forest vegetation types,biomass and carbon storage in the different forests.The standing volume,above ground biomass and carbon storage varied from 35.59 to 64.31 m^3·ha^-1,45.94 to 78.31 Mg·ha^-1,and 22.97 to 33.27 Mg·ha^-1,respectively among different forest types.The highest volumes,above ground biomass and carbon storage per hectare were found in the mixed forest and lowest in the degraded forest.The total standing carbon present in the entire study area was 78170.72 Mg in mixed forest,81656.91 Mg in Teak forest,7833.23 Mg in degraded forest and 7470.45 Mg in Sal mixed forest,respectively.The study shows that dry tropical forests of the studied area in Chhattisgarh are in growing stage and have strong potential for carbon sequestration.展开更多
National forest inventory materials and data from China Forest Ecosystem Location Research Network （CFERN） were obtained for estimating four periods of carbon storage of Bamboo forest ecosystem from 1977 to 2003 in ...National forest inventory materials and data from China Forest Ecosystem Location Research Network （CFERN） were obtained for estimating four periods of carbon storage of Bamboo forest ecosystem from 1977 to 2003 in China. The spatial and temporal patterns, vertical distribution and potential carbon storage of the bamboo forest ecosystem were analyzed. The results showed that carbon storage of Chinese bamboo forest ecosystem was 537.6 Mt C during 1977 and 1981, 598.61 Mt C during 1984 and 1988, 710.14 Mt C during 1994 and 1998, and 837.92 Mt C during 1999 and 2003. It showed that the carbon storage was increasing during that time. Zhejiang, Jiangxi, Fujian, Hunan, Guangdong and Sichuan were the major carbon pools in China, with the percentages of carbon storage between 80.04 and 83.13 percent in all. The percentages of carbon storage of vegetation, litter, and soil were between 23.85 and 24.48 percent, between 0.92 and 0.96 percent, and between 74.56 and 75.23 percent respectively. Therefore, it is concluded that the carbon storage in different layers were similar vertically. Carbon storage was 837.92 Mt C from 1999 to 2003, and it will be increased to 947.54 Mt C after one age period with a rate of 54.81Mt carbons stored in ecosystem every year.展开更多
Understanding the spatial variability of soil carbon （C） storage and its relationship with climate and soil texture is critical for developing regional C models and for predicting the potential impact of climate cha...Understanding the spatial variability of soil carbon （C） storage and its relationship with climate and soil texture is critical for developing regional C models and for predicting the potential impact of climate change on soil C storage. On the basis of soil data from a transect across the Inner Mongolian grasslands, we determined the quantitative relationships of C and nitrogen （N） in bulk soil and particle-size fractions （sand, silt, and clay） with climate and soil texture to evaluate the major factors controlling soil C and N storage and to predict the effect of climate changes on soil C and N storage. The contents of C and N in the bulk soil and the different fractions in the 0 20 and 20 40 cm soil layers were positively correlated with the mean annum precipitation （MAP） and negatively correlated with the mean annual temperature （MAT）. The responses of C storage in the soil and particle-size fractions to MAP and MAT were more sensitive in the 0-20 cm than in the 2（~40 cm soil layer. Although MAP and MAT were both important factors influencing soil C storage, the models that include only MAP could well explain the variation in soil C storage in the Inner Mongolian grasslands. Because of the high correlation between MAP and MAT in the region, the models including MAT did not significantly enhance the model precision. Moreover, the contribution of the fine fraction （silt and clay） to the variation in soil C storage was rather small because of the very low fine fraction content in the Inner Mongolian grasslands.展开更多
基金This study is supported by The Development Plan of State Key Fundamental Research of China (973) (contract No. 2002CB412502),by Knowledge Innovation Project of CAS (KZCX1-SW-01-03) and by Natural Science Foundation of China (30170167).
文摘CO2 concentrations at different heights in a broadleaved/Korean forest (with a mean height of 26 m) were measured with infrared gas analyzer IRGA (model 2250D, LI-COR Inc. and LI-COR, 820) from Aug. to Oct. of 1999, Apr. to Jul. of 2000, and from Aug. 2002 to Sept. 2003. Based on the collected dada, the diurnal and seasonal dynamics of profiles and storage of carbon dioxide in the forest were analyzed. The diurnal CO2 profiles showed that the vertical distribution of CO2 concentration were different for daytime and nighttime, and the CO2 concentration was highest close to forest floor, no matter at daytime and nighttime. The seasonal profiles of CO2 showed that stratification in the canopy was evident during growth season. CO2 concentrations at different heights (60 m to 2.5 m) had a little change in March, with a difference of 10 mmolmol-1, but had a significant change in July, with a difference of 60 mmolmol-1. In July, there also existed a greater gradient of CO2 concentrations at canopy (22, 26 and 32 m), with a difference of 8 mmolmol-1. The calculated total storage (ΔC/Δt ) of CO2 in the air column with height of 40 m beneath eddy covariance instrument was negative, and made a little contribution to NEE.
文摘A study was conducted to characterize the land use,biomass and carbon status of dry tropical forest in Raipur district of Chhattisgarh,India using satellite remote sensing data and GIS techniques in the year of 2001-2002.The main forest types observed in the area are Teak forest,mixed forest,degraded forest and Sal mixed forest.The aspect and slope of the sites influenced the forest vegetation types,biomass and carbon storage in the different forests.The standing volume,above ground biomass and carbon storage varied from 35.59 to 64.31 m^3·ha^-1,45.94 to 78.31 Mg·ha^-1,and 22.97 to 33.27 Mg·ha^-1,respectively among different forest types.The highest volumes,above ground biomass and carbon storage per hectare were found in the mixed forest and lowest in the degraded forest.The total standing carbon present in the entire study area was 78170.72 Mg in mixed forest,81656.91 Mg in Teak forest,7833.23 Mg in degraded forest and 7470.45 Mg in Sal mixed forest,respectively.The study shows that dry tropical forests of the studied area in Chhattisgarh are in growing stage and have strong potential for carbon sequestration.
文摘National forest inventory materials and data from China Forest Ecosystem Location Research Network （CFERN） were obtained for estimating four periods of carbon storage of Bamboo forest ecosystem from 1977 to 2003 in China. The spatial and temporal patterns, vertical distribution and potential carbon storage of the bamboo forest ecosystem were analyzed. The results showed that carbon storage of Chinese bamboo forest ecosystem was 537.6 Mt C during 1977 and 1981, 598.61 Mt C during 1984 and 1988, 710.14 Mt C during 1994 and 1998, and 837.92 Mt C during 1999 and 2003. It showed that the carbon storage was increasing during that time. Zhejiang, Jiangxi, Fujian, Hunan, Guangdong and Sichuan were the major carbon pools in China, with the percentages of carbon storage between 80.04 and 83.13 percent in all. The percentages of carbon storage of vegetation, litter, and soil were between 23.85 and 24.48 percent, between 0.92 and 0.96 percent, and between 74.56 and 75.23 percent respectively. Therefore, it is concluded that the carbon storage in different layers were similar vertically. Carbon storage was 837.92 Mt C from 1999 to 2003, and it will be increased to 947.54 Mt C after one age period with a rate of 54.81Mt carbons stored in ecosystem every year.
基金Supported by the National Natural Science Foundation of China(Nos.31270519,31070431 and 41373080)the State Key Laboratory of Forest and Soil Ecology,China(No.LFSE2013-03)
文摘Understanding the spatial variability of soil carbon （C） storage and its relationship with climate and soil texture is critical for developing regional C models and for predicting the potential impact of climate change on soil C storage. On the basis of soil data from a transect across the Inner Mongolian grasslands, we determined the quantitative relationships of C and nitrogen （N） in bulk soil and particle-size fractions （sand, silt, and clay） with climate and soil texture to evaluate the major factors controlling soil C and N storage and to predict the effect of climate changes on soil C and N storage. The contents of C and N in the bulk soil and the different fractions in the 0 20 and 20 40 cm soil layers were positively correlated with the mean annum precipitation （MAP） and negatively correlated with the mean annual temperature （MAT）. The responses of C storage in the soil and particle-size fractions to MAP and MAT were more sensitive in the 0-20 cm than in the 2（~40 cm soil layer. Although MAP and MAT were both important factors influencing soil C storage, the models that include only MAP could well explain the variation in soil C storage in the Inner Mongolian grasslands. Because of the high correlation between MAP and MAT in the region, the models including MAT did not significantly enhance the model precision. Moreover, the contribution of the fine fraction （silt and clay） to the variation in soil C storage was rather small because of the very low fine fraction content in the Inner Mongolian grasslands.
