Evolvement rules of basin flood risk under low-carbon mode. Part I: response of soil organic carbon to land use change and its influence on land use planning in the Haihe basin
Evolvement rules of basin flood risk under low-carbon mode. Part I: response of soil organic carbon to land use change and its influence on land use planning in the Haihe basin
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低碳模式下流域洪水风险演化规律
DOI：
10.1007/s10661-017-6101-5
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发表时间：
2017-07
影响因子：
3
通讯作者：
Zhao Yong
中科院分区：
文献类型：
--
作者：
Li Fawen;Wang Liping;Zhao Yong
土壤有机碳(SOC)在全球碳循环中占有重要地位。本研究旨在评价海河流域SOC对土地利用变化的响应及其对土地利用规划的影响，为流域洪水风险评价提供规划用地模式。首先，利用ArcGIS的面积统计功能，统计了1980、2008和规划年(2020)不同土地利用类型的面积。然后，利用空间叠置分析功能生成土地利用转移矩阵。最后，基于土地利用图、土壤类型图和土壤剖面数据库，计算了三个不同时期不同土地利用类型的土壤有机碳储量。结果表明，从1980年到2008年，土地利用格局发生了很大变化，在19835km2的土地利用中，草地转化为林地是面积最大的景观。土地利用转换带来了土壤有机碳储量的变化。总碳源为88.83 Tg，总碳汇为85.49 Tg。因此，从1980年到2008年，海河流域一直以碳源的形式出现。从2008年到2020年，海河流域林地和草地的变化最大，这使得SOC池从碳源转变为碳汇。SOC存储将从2008年的2420.5 Tg增加到2020年的2495.5 Tg。这种变化趋势有利于降低大气浓度。因此，海河流域土地利用规划是合理的，可以为洪水风险评价提供下垫面条件。
Soil organic carbon (SOC) plays an important role in the global carbon cycle. The aim of this study was to evaluate the response of SOC to land use change and its influence on land use planning in the Haihe basin, and provide planning land use pattern for basin flood risk assessment. Firstly, the areas of different land use types in 1980, 2008, and the planning year (2020) were counted by area statistics function of ArcGIS. Then, the transfer matrixes of land use were produced by spatial overlay analysis function. Lastly, based on the land use maps, soil type map and soil profile database, SOC storage of different land use types in three different periods were calculated. The results showed the patterns of land use have changed a lot from 1980 to 2008, among the 19,835 km2of grassland was transformed into forestland, which was the largest conversion landscape. And land use conversion brought the SOC storage changes. Total carbon source was 88.83 Tg, and total carbon sink was 85.49 Tg. So, the Haihe basin presented as a carbon source from 1980 to 2008. From 2008 to 2020, the changes of forestland and grassland are the biggest in Haihe basin, which cause the SOC pool change from a carbon source to a carbon sink. SOC storage will increase from 2420.5 Tg in 2008 to 2495.5 Tg in 2020. The changing trend is conducive to reducing atmospheric concentrations. Therefore, land use planning in Haihe basin is reasonable and can provide the underlying surface condition for flood risk assessment.
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影响因子：
3
作者：
A. Singh;P. Santra;Mahesh Kumar;N. Panwar;P. Meghwal
通讯作者：
A. Singh;P. Santra;Mahesh Kumar;N. Panwar;P. Meghwal
影响因子：
6.2
作者：
Juan Zhang;Xiujun Wang;Jiaping Wang
通讯作者：
Juan Zhang;Xiujun Wang;Jiaping Wang
DOI：
--
发表时间：
2005-12
期刊：
Ying yong sheng tai xue bao = The journal of applied ecology
影响因子：
--
作者：
Dongsheng Yu;Xuezheng Shi;Weixia Sun;Hongjie Wang;Qinghua Liu;Yongcun Zhao
通讯作者：
Dongsheng Yu;Xuezheng Shi;Weixia Sun;Hongjie Wang;Qinghua Liu;Yongcun Zhao
DOI：
10.1016/j.agee.2007.01.002
发表时间：
2007-09
期刊：
Agriculture, Ecosystems & Environment
影响因子：
--
作者：
E. Milne;R. A. Adamat;N. Batjes;M. Bernoux;T. Bhattacharyya;C. Cerri;C. Cerri;K. Coleman;M. Easter;P. Falloon;C. Feller;P. Gicheru;P. Kamoni;K. Killian;D. Pal;K. Paustian;D. Powlson;Z. Rawajfih;M. Sessay;S. Williams;S. Wokabi
通讯作者：
E. Milne;R. A. Adamat;N. Batjes;M. Bernoux;T. Bhattacharyya;C. Cerri;C. Cerri;K. Coleman;M. Easter;P. Falloon;C. Feller;P. Gicheru;P. Kamoni;K. Killian;D. Pal;K. Paustian;D. Powlson;Z. Rawajfih;M. Sessay;S. Williams;S. Wokabi
影响因子：
2.5
作者：
K. Sreenivas;G. Sujatha;K. Sudhir;Dr. U. V. Kiran;M. Fyzee;T. Ravisankar;V. Dadhwal
通讯作者：
K. Sreenivas;G. Sujatha;K. Sudhir;Dr. U. V. Kiran;M. Fyzee;T. Ravisankar;V. Dadhwal