PDF Download

[1]LIU Qiannan,OUYANG Zhiyun,LI Ainong,et al.Study on Spatial Differentiation Characteristics of Forest Vegetation Biomass and Carbon Stock in Chongqing City[J].Research of Soil and Water Conservation,2016,23(06):221-226.

Copy

Study on Spatial Differentiation Characteristics of Forest Vegetation Biomass and Carbon Stock in Chongqing City

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 06 Page number: 221-226 Column: Public date: 2016-12-28

Title:: Study on Spatial Differentiation Characteristics of Forest Vegetation Biomass and Carbon Stock in Chongqing City

Author(s):: LIU Qiannan^1,2, OUYANG Zhiyun³, LI Ainong¹, XU Weihua³; 1. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

Keywords:: biomass; forest carbon storage; vegetation index; regression model; spatial distribution characteristics

CLC:: S771.8

DOI:: -

Abstract:: Forest vegetation in Chongqing City is the main part of the Southwest Forest Area in China. To explore the spatial distribution features of its biomass and carbon reserve and exert its important role in carbon sink function in southwest forestry regions, we took Landsat TM remote-sensing images in growing season in 2011 as main data sources and measured data of numerous samples as basis. Based on RS and GIS technology and remote-sensing statistical model method, biomass-remote-sensing geological data regression model was used to estimate the biomass of Chongqing forest vegetation, the spatial differentiation laws of different topographic features of biomass were quantitatively analyzed, geographical influence factors of biomass distribution also were explored, and geospatial spatial distribution pattern features of regional carbon reserve were revealed. The results indicate that there is a good correlation between the biomass remote-sensing inversion model and theoretical value (R²=0.641). Chongqing above-ground total biomass is 2.83×10⁸ t and the total biomass of forest ecosystem is 1.39×10⁸ t. Biomass mainly distributed in the northeast and southeast of Chongqing. On the whole, it shows a distribution pattern of high level in the east and low level in the west. The regions with middle-high elevation and steep slope are the main distribution areas of Chongqing forest vegetation and the concentrated biomass distribution areas. Its spatial distribution pattern manifests the mountain forest features in Chongqing. The total carbon reserve of forest ecosystem is 6.29×10⁷ ton, with average unit carbon reserve of 22.01 t/hm². Also, forest carbon sink distribution pattern in each districts and counties shows unbalancedness in geographical distribution and on the whole, which presents a relative extreme trend.

References:: [1] 王效科,冯宗炜,欧阳志云.中国森林生态系统的植物碳储量和碳密度研究[J].应用生态学报,2001,12(1):13-16.
[2] Sabine C L, Heimann M, Artaxo P, et al. Current status and past trends of the global carbon cycle[C]//Field C B, Raupach M R, MacKenzie S H. The Global Carbon Cycle:Integrating Humans, Climate and the Natural World. Washington:Island Press, 2004.
[3] 钱逸凡,伊力塔,张超,等.浙江省中部地区公益林生物量与碳储量[J].林业科学,2013,49(5):17-23.
[4] 方精云,陈安平,赵淑清,等.中国森林生物量的估算:对Fang,等Science一文(Science, 2001,291:2320-2322)的若干说明[J].植物生态学报,2002,26(2):243-249.
[5] Houghton R A. Balancing the global carbon budget[J]. Annual Review of Earth and Planetary Sciences, 2007,35(1):313-347.
[6] Cramer W, Kicklighter D W, et al. Comparing global models of terrestrial net primary productivity(NPP):overview and key results[J]. Global Change Biology,1999(5):1-15.
[7] Boyd D S, Foody G M. An overview of recent remote sensing and GIS based research in ecological informatics[J]. Ecological Informatics, 2011,6(1):25-36.
[8] 刘国华,傅伯杰,方精云,中国森林碳动态及其对全球碳平衡的贡献[J].生态学报,2000,20(5):733-740.
[9] Dixon R K, Solomon A M, Brown S, Houghton R A, et al. Carbon pools and flux of global forest ecosystems[J]. Science, 1994,263(5144):185-190.
[10] 徐少君,曾波,苏晓磊,等.基于RS/GIS的重庆缙云山自然保护区植被及碳储量密度空间分布研究[J].生态学报,2012,32(7):2174-2184.
[11] Fu B J, Niu D, Zhao S D. Study on global change and terrestrial ecosystems:history and prospect[J]. Advances in Earth Science, 2005,20(5):556-560.
[12] 葛立雯,潘刚,任德智,等.西藏林芝地区森林碳储量、碳密度及其分布[J].应用生态学报,2013,24(2):319-325.
[13] IPCC. Good Practice Guidance for Land Use, Land-Use Change and Forestry[EB/OL].(2004-05-01)[2010-12-01]. http://www.Ipcc-nggip.iges.or.jp/public/gpglulucf/gpgluluc.f.html.
[14] IPCC.2006IPCC Guidelines for National Greenhouse Gas Inventory[EB/OL].(2006-12-15)[2010-12-01]. http://www.Ipcc-nggip.iges.or.Jp/public/2006gl/index.html
[15] 张亮,林文欢,王正,等.广东省森林植被碳储量空间分布格局[J].生态环境学报,2010,19(6):1295-1299.
[16] Du Y, Mi X, Liu X, et al. The effects of ice storm on seed rainand seed limitation in an evergreen broad-leaved forest in east China[J]. Acta Oecologica, 2012,39(2):87-93.
[17] 周玉容,于振良,赵士洞.我国主要森林生态系统碳贮量和碳平衡[J].植物生态学报,2000,24(5):518-522.
[18] 张萍.北京森林碳储量研究[D].北京:北京林业大学,2009.
[19] 方精云,刘国华,徐嵩龄.我国森林植被的生物量和净生产量[J].生态学报,1996,16(5):497-508.
[20] 方精云,陈安平.中国森林植被碳库的动态变化及其意义[J].植物学报,2001,43(9):967-973.
[21] 王效科,冯宗炜,欧阳志云.中国森林生态系统的植物碳储量和碳密度研究[J].应用生态学报,2001,12(1):13-16.
[22] 赵敏,周广胜.中国森林生态系统的植物碳贮量及其影响因子分析[J].地理科学,2004,24(1):50-54.
[23] 王敏,李贵才,仲国庆,等.区域尺度上森林生态系统碳储量的估算方法分析[J].林业资源管理,2010,02,107-112.
[24] 张新时,张奠安.中国全球变化样带的设置与研究[J].第四纪研究,1995(1):43-52.
[25] 黄从德,张健,杨万勤,等.四川省及重庆地区森林植被碳储量动态[J].生态学报,2008,28(3):966-975.
[26] 张建国,范建容,等.重庆市降雨侵蚀力的时空分布特征[J].水土保持研究,2004,11(1):56-59.
[27] 王淑君,管东生,黎夏.广州森林碳储量时空演变及异质性分析[J].环境科学学报,2008,28(4):778-785.
[28] 刘国华,傅伯杰,方精云.中国森林碳动态及其对全球碳平衡的贡献[J].生态学报,2000,20(5):7333-7401.
[29] Olson J S, Watts J A, Allison L J. Carbon in live vegetation of major world ecosystems[R]. Tenn(USA):Report ORNL-58620, Oak Ridge National Laboratory, 1983.
[30] 刘纪远,岳天祥.中国西部生态系统综合评估[M].北京:气象出版社,2006.
[31] 黄从德,张健,杨万勤,等.四川省森林植被碳储量的空间分异特征[J].生态学报,2009,29(9):5115-5121.
[32] 蓝振江,蔡红霞,曾涛,等.九寨沟主要植物群落生物量的空间分布[J].应用与环境生物学报,2004,10(3):299-306.

Similar References:

Memo

Last Update: 1900-01-01