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《Acta Scientiae Circumstantiae》 2008-04
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The temporal-spatial evolution and heterogeneity of forest carbon in Guangzhou,China

WANG Shujun1,GUAN Dongsheng1,, LI Xia2, SONG Weiwei1 1 School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275 2 School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275  
Guangzhou is a rapidly developing area in China. Classification information of local forests was obtained from TM image data from 1990, 1997 and 2004 and analyzed based on Classification and Regression Tree (CART) analysis. Using field measurements and same term remote sensing information,along with stepwise regression analysis, the forest carbon models of coniferous forest、broadleaf forest and orchard were designed, and the forest carbon storage in those years was estimated. The results showed that the forest coverage ratio in Guangzhou increased from 1990 to 1997, but decreased from 1997 to 2004. The carbon density was 22.1 t·hm-2 in 1990, 22.7 t·hm-2 in 1997 and 24.7 t·hm-2 in 2004,and carbon storage was 5.93×106 t in 1990, 7.70×106 t in 1997 and 7.64×106 t in 2004. The carbon storage and carbon density of forest increased over that time. The carbon density of Guangzhou forest was still low, but it is a huge potential carbon sink for the future. The area of the forest whose carbon density was less than 25 t·hm-2 was more than 40% in the study period. Forests whose carbon density was less than 50 t·hm-2 were distributed in the main area of Guangzhou. Spatial patterns of the carbon density were obtained by geostatistical analysis. The results show that the heterogeneity in spatial distribution of the Guangzhou forest carbon density did not change significantly, but the distance (range) of spatial dependence varied significantly. The distance (range) of spatial dependence increased, increasing from 807 m in 1990 to 1983 m in 2004. Analysis of spatial variation revealed that the spatial heterogeneity was largely caused by spatial autocorrelation (75.7%~82.0%). In conclusion, the results demonstrated that spatial autocorrelation is the primary factor which resulted in the spatial heterogeneity of the forest biomass pattern in Guangzhou.
【Fund】: “985工程”GIS与遥感的地学应用科技创新平台项目(No105203200400006)~~
【CateGory Index】: X171.1
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