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江西中南部红壤丘陵区主要造林树种碳固定估算
引用本文:吴丹,邵全琴,李佳,刘纪远.江西中南部红壤丘陵区主要造林树种碳固定估算[J].生态学报,2012,32(1):142-150.
作者姓名:吴丹  邵全琴  李佳  刘纪远
作者单位:中国科学院地理科学与资源研究所,中国科学院地理科学与资源研究所,中国科学院地理科学与资源研究所,中国科学院地理科学与资源研究所
基金项目:国家重点基础研究发展计划(973计划);国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:本文根据江西第6次森林清查小班数据,通过基于实地调查数据拟合的森林植被生物量与蓄积量的关系,估算了2003年江西中南部红壤丘陵区泰和县和兴国县主要人工造林树种马尾松、湿地松、杉木林的生物量和碳储量,并采用空间替代时间的方法,利用Logistic方程拟合了三个树种林龄与碳密度的曲线关系,估算了研究区1985-2002年的森林植被生物量和碳储量,分析了时空动态特征。结果表明:(1) 2003年研究区主要造林树种林分面积31.04?104hm2,总生物量22.20Tg,总碳储量13.07TgC,平均碳密度42.36tC/hm2。(2) 1985、1994、2003年三个树种植被碳储量分别为4.91、11.41和13.07TgC,年均固碳量0.45 TgC.a-1。(3) 海拔位于700-900m之间的树种平均碳密度最大,坡度位于25~35?之间的树种平均碳密度最大。森林植被碳密度总体上呈现随海拔高度的增加而增加,随坡度的增大而增大的分布。人工造林工程使江西中南部红壤丘陵区森林植被碳储量明显增加,合理的森林经营管理可以提高森林生态系统的固碳能力。

关 键 词:小班数据  碳储量  时空变化  江西省
收稿时间:2010/11/24 0:00:00
修稿时间:3/7/2011 12:00:00 AM

Carbon fixation estimation for the main plantation forest species in the red soil hilly region of southern-central Jiangxi Province, China
WU Dan,SHAO Quanqin,LI Jia and LIU Jiyuan.Carbon fixation estimation for the main plantation forest species in the red soil hilly region of southern-central Jiangxi Province, China[J].Acta Ecologica Sinica,2012,32(1):142-150.
Authors:WU Dan  SHAO Quanqin  LI Jia and LIU Jiyuan
Institution:Institute of Geographic Sciences and Natural Resources Research,,,
Abstract:Abstract: Using field survey data from the sixth inventory of forest in Jiangxi Province and calculating the relationship between forest biomass and carbon storage from this, we estimated total forest biomass and carbon storage for the three major plantation forest species, Pinus massoniana, Cunninghamia lanceolata, and Pinus elliottii, in the red soil hilly region of southern-central Jiangxi Province. We have also analyzed the relationship between carbon density and age for these forest species, using logistic equations, and described the spatiotemporal dynamics of forest biomass and carbon storage between 1985 and 2003 in the study area. In this study, we used three methods of biomass expansion factor, biomass organ distribution and parameter fitting, to estimate carbon density. Qianyanzhou Experimental Station was chosen to compare these three corresponding results. The result obtained from parameter fitting was found to be the best way of calculating forest biomass and carbon storage on a regional scale. Increasing sample size would increase reliability of results. The following conclusions were obtained from this study. In 2003, total stand area of the three forest species was 31.04 104 hm2; total biomass was 22.20 Tg; vegetation carbon storage was 13.07 Tg C; and average carbon density was 42.36 t C hm-2. Carbon storage by different forest types in descending order was: Pinus massoniana, Pinus elliottii and Cunninghamia lanceolata. Carbon storage by age group in descending order was middle stand forests, young stand forests, near-mature stand forests, mature stand forests. Storage of carbon by plantation forests was 1.89 times higher than by natural forests. Pinus massoniana and Cunninghamia lanceolata forests were the main natural forest carbon sinks, while Pinus elliottii forests were the main plantation carbon sinks. Carbon density of the three species increased each year and increased 8.58 tC / hm2 during the study period; this was 1.66 times higher than in 1985. Forest carbon storage was 4.91, 11.41, and 13.07 Tg C in 1985, 1994, and 2003, respectively. Average amount of carbon fixation was 0.45 Tg C a-1 per year. Stand area enlarged from 15.54 104 hm2 in 1985 to 30.30 104 hm2 in 1994. The carbon density of the three species was higher in the east and west of Taihe County and lower in the middle. It was higher in the east and north of Xingguo County than in the middle. Average carbon density was highest at 700 to 900 m altitude and 25 to 35 slope. Overall, carbon density of forest vegetation increased with increasing altitude and slope. Afforestation projects contributed significantly to the increase in carbon storage in the red soil hilly region of Jiangxi Province. Understanding the growth patterns of the three species was important for calculation of biomass and carbon storage in these plantation ecosystems, and was crucial for forest management. Reasonable forest management may improve the carbon sequestration capacity of forest ecosystems. Further study should focus on the carbon reservoirs provided by other species and the soil in order to estimate the carbon fixation potential of the whole forest ecosystem. Key words: compartment data; carbon storage; spatiotemporal dynamics; Jiangxi Province
Keywords:compartment data  carbon storage  spatiotemporal dynamic  Red soil hilly region
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