黄淮海平原耕地转移对植被碳储量的影响

doi:10.11821/yj2008040012

地理研究 ›› 2008, Vol. 27 ›› Issue (4): 839-847.doi: 10.11821/yj2008040012

黄淮海平原耕地转移对植被碳储量的影响

姜群鸥^1,2, 邓祥征^2,3, 战金艳⁴, 刘兴权¹

1. 中南大学地学与环境工程学院, 长沙 410083;
2. 中国科学院农业政策研究中心, 北京 100101;
3. 中国科学院地理科学与资源研究所, 北京 100101;
4. 北京师范大学环境学院,北京 100875

收稿日期:2008-01-18 修回日期:2008-04-22 出版日期:2008-07-25 发布日期:2008-07-25
作者简介:姜群鸥(1981-),女,汉,河北衡水人,研究实习员。研究方向为GIS建模与分析。 *通讯作者 : 邓祥征,副研究员。研究方向是资源环境空间计量分析。E-mail:dengxz.ccap@gmail.com
基金资助:
国家自然科学基金项目(70503025);中国科学院知识创新工程重要方向项目(KZCX2-YW-305-2;KSCX2-YW-N-039)

Impacts of cultivated land conversion on the vegetation carbon storage in the Huang-Huai-Hai Plain

JIANG Qun-ou^1,2, DENG Xiang-zheng^2,3, ZHAN Jin-yan⁴, LIU Xing-quan¹

1. Geoscience Environment Engineering School, Central South University, Changsha 410083, China;
2. Center for Chinese Agricultural Policy, CAS, Beijing 100101, China;
3. Institute of Geographic Sciences and Natural Resources Research, CAS,Beijing 100101, China;
4. Environmental School, Beijing Normal University, Beijing 100875, China

Received:2008-01-18 Revised:2008-04-22 Online:2008-07-25 Published:2008-07-25
Supported by:
国家自然科学基金项目(70503025);中国科学院知识创新工程重要方向项目(KZCX2-YW-305-2;KSCX2-YW-N-039)

摘要/Abstract

摘要：

应用GLO-PEM模型和1988年NOAA/AVHRR遥感数据,估算了黄淮海平原植被净初级生产力(NPP),并根据NPP和植被凋落物产生量计算了不同土地利用类型的植被碳密度。通过对1988年与2000年土地利用图的叠置分析,统计了耕地与其他土地利用类型之间的转移量,并估算了耕地转移对植被碳储量的影响。研究发现,耕地转移对植被碳储量变化的影响在不同区域与不同土地利用类型上存在显著差异。1988~2000年间,耕地转移导致全区植被碳储量下降了0.24%,其中耕地转为建设用地是植被碳储量减少的主要原因。这一研究结论为正确把握耕地转移对区域植被碳储量的影响,并据此制订碳汇管理措施具有重要的参考价值。

关键词: 耕地转移, NPP, NOAA/AVHRR, GLO-PEM, 植被碳储量, 黄淮海平原

Abstract:

Land use changes influence the distribution and structure of terrestrial ecosystems, and also change their carbon storage. Cultivated land, an important part of our country, affects not only the crop productivity, but also the spatial distribution pattern of vegetation carbon storage. According to the GLO-PEM model and by using the NOAA/AVHRR data acquired in 1988, this paper estimates the net primary productivity of the Huang-Huai-Hai Plain. Then the amounts of the vegetation carbon storage associated with the various land uses are estimated by subtracting the quantities of litter. The key findings show that there are differences in vegetation carbon storage among the various land uses and over space. The density of vegetation carbon storage in forest area is the biggest, and the smallest is the unused land. According to the decoded land use information from Landsat TM/ETM digital imagines, we traced the land conversions in the period between 1988 and 2000 and analyzed the changes between cultivated land and other land types and find it interesting that different land types can be transferred to each other. But the net change will be various. With the development of economy, built-up area gradually expanded, and the amount of cultivated land around the city were occupied. A total of 5.3 10⁷hm² of land were transferred to cultivated land in the Huang-Huai-Hai Plain. Based on the above data, we calculated the impacts of cultivated land conversions on the vegetation carbon storage. It is found out that that the vegetation carbon storage decreased by 0.25% due to the land conversions between cultivated land and other land uses. The cultivated land conversion to built-up area caused a decrease of 4.57 10³tC released to air. We overlapped the agro-ecological zones and the vegetation carbon storage, and calculated the total changes in every agro-ecological zone. The vegetation carbon storage of the Huang-Hai Plain decreased by 0.89 10³t. With the population increase, 59% of the cultivated land was transferred to residential area. This is the main reason for the substantial decrease in the vegetation carbon storage. The research results provide valuable information for the formulating of the carbon management policies at a regional extent.

Key words: land use change, NPP, NOAA/AVHRR, GLO-PEM, vegetation carbon storage, Huang-Huai-Hai Plain

姜群鸥, 邓祥征, 战金艳, 刘兴权. 黄淮海平原耕地转移对植被碳储量的影响[J]. 地理研究, 2008, 27(4): 839-847.

JIANG Qun-ou, DENG Xiang-zheng, ZHAN Jin-yan, LIU Xing-quan. Impacts of cultivated land conversion on the vegetation carbon storage in the Huang-Huai-Hai Plain[J]. GEOGRAPHICAL RESEARCH, 2008, 27(4): 839-847.

参考文献

[1] 封志明, 刘玉杰. 土地资源学研究的回顾与前瞻. 资源科学, 2004, 26(4): 2~10.

[2] 摆万奇, 赵士洞. 土地利用和土地覆盖变化研究模型综述. 自然资源学报, 1997, 12(2): 169~175.

[3] 李平, 李秀彬, 刘学军. 我国现阶段土地利用变化驱动力的宏观分析. 地理研究, 2001, 20(2): 129~138.

[4] 高志强, 刘纪远, 曹明奎, 等. 土地利用和气候变化对农牧过渡区生态系统生产力和碳循环的影响.中国科学D辑,2004, 34(10):946~957.

[5] 邓祥征, 刘纪远, 战金艳,等. 太仆寺旗土地利用变化时空格局的动态模拟. 地理研究, 2004, 23(2): 147~156.

[6] 战金艳, 邓祥征, 岳天祥,等. 内蒙古农牧交错带土地利用变化及其环境效应. 资源科学, 2004,26(5):80~87.

[7] 黄耀. 中国陆地和近海生态系统碳收支研究. 中国科学院院刊, 2002, 17(2): 104~107.

[8] Prince S D,Goward S N. Global primary production:A remote sensing approach. Journal of Biogeography, 1995, 22: 815~835.

[9] 肖乾广,陈维英,盛永伟,等.用NOAA气象卫星的AVHRR遥感资料估算中国的净第一性生产力.植物学报, 1996, 38(1): 35~39.

[10] 张杰, 潘晓玲, 高志强,等. 基于遥感-生态过程的绿洲-荒漠生态系统净初级生产力估算. 干旱区地理, 2006, 29(2): 255~261.

[11] 王绍强, 许珺, 周成虎. 土地覆被变化对陆地碳循环的影响. 遥感学报, 2001, 5(2): 142~148.

[12] 张仁华, 孙晓敏, 朱治林, 等. 遥感区域地表植被二氧化碳通量的机理及其应用. 中国科学(D辑), 2000, 30(2): 215~225.

[13] 刘纪远,张增祥,庄大方,等.20世纪90年代中国土地利用变化时空特征及其成因分析.地理研究, 2003, 2(1): 1~12.

[14] 庄大方, 邓祥征, 战金艳, 等. 北京市土地利用变化的空间分布特征. 地理研究, 2002, 21(6): 667~674.

[15] 鲁奇, 战金艳, 任国柱. 北京近百年城市用地变化与相关社会人文因素简论. 地理研究, 2001 ,20 (6) : 687~693.

[16] 吴炳方, 刘成林, 张磊,等.中国陆地1km AVHRR数据集.遥感学报,2004,8(6): 529~550.

[17] Cao M K, Prince S D, Small J,et al. Satellite remotely sensed interannual variability in terrestrial net primary productivity from 1980 to 2000. Ecosystems, 2004, 7: 233~242.

[18] Goetz S J, Prince S D, Goward S N, et al. Mapping net primary production and related biophysical variables with remote sensing: Application to the BOREAS region. Journal of Geophysical Research. 1999, 104 (22): 27719~27733.

[19] Rouse J W,Haas J, Deering R H,et al.Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation; NASA/ GSFC Type III Final Report. Greenbelt, MD. 1974.371~373.

[20] Goward S N, Waring R H, Dye D G, et al. Ecological remote sensing at OTTER: Satellite macroscale observations. Ecol. Appl. ,1994, 4 (2): 322~343.

[21] Goward S N, Dye D G. Global biospheric monitoring with remote sensing. In: Gholtz H L, Nakane K, Shimoda H.(eds.).The Use of Remote Sensing in Modeling Forest Productivity.New York: Kluwer Academic,1997.241~272.

[22] 张仁华. 实验遥感模型与地面基础. 北京: 科学出版社, 1996.

[23] Yang J L, Prince S D. A theoretical assessment of the relation between woody canopy cover and red reflectance. Remote Sensing of Environment. 1997, 59 (3): 428~439.

[24] Colltaz G J, Ball J T. Physiological and environmental regulation of stomata conductance, photosynthesis and transpiration: A model that includes a laminar boundary layer. Agriculture Forest Meteorology, 1991, 54:107~136.

[25] 王绍强, 周成虎, 刘纪远, 等. 东北地区陆地碳循环平衡模拟分析. 地理学报, 2001, 56(4): 390~400.

[26] Yan Huimin, Cao Mingkui, Liu Jiyuan, Tao Bo. Potential and sustainability for carbon sequestration with improved soil management in agricultural soils of China.Agriculture, Ecosystems and Environment, 2007, 121: 325~335.

[27] 闫慧敏, 刘纪远, 曹明奎. 中国农田生产力变化的空间格局及地形控制作用.地理学报, 2007,62(2): 171~180.

[28] 陶波, 李克让, 邵雪梅, 等. 中国陆地净初级生产力时空特征模拟. 地理学报,2003, 58(3): 372~380.

[29] 孙睿, 朱启疆. 气候变化对中国陆地植被净第一性生产力影响的初步研究. 遥感学报, 2001, 5(1):58~62.

黄淮海平原耕地转移对植被碳储量的影响

Impacts of cultivated land conversion on the vegetation carbon storage in the Huang-Huai-Hai Plain

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