Journal of Natural Resources, Volume. 35, Issue 4, 826(2020)
Assessing the effects of the Green for Grain Program on ecosystem carbon storage service by linking the InVEST and FLUS models: A case study of Zichang county in hilly and gully region of Loess Plateau
Figures & Tables(13)
Fig. 2. Land use type map of Zichang county in 2000, 2008, 2013 and 2017
Fig. 6. Variation of carbon storage and average carbon density in Zichang county from 2000 to 2017
Fig. 7. Carbon storage changes under various land use types in Zichang county, 2000-2017
Fig. 8. Changes of terrestrial ecosystem carbon storage caused by land use transformation in Zichang county from 2017 to 2037
Fig. 9. Economic value of carbon sinks under four project implementation scenarios in Zichang county, 2037
Table 1. Data description of driving factors of land use change
View tableView in ArticleTable 1. Data description of driving factors of land use change
数据类型 数据名称 年份 数据处理与说明 单位 自然因子 高程 2000 ASTER GDEM V2 m 坡度 (°) 坡向 (°)（方位角） 年平均气温 2013、2017 使用ArcGIA 0.5软件插值分析工具中的反距离权重法计算获得 °C 年平均降水量 mm 社会经济因子 到河流距离 2015 使用ArcGIA 0.5软件距离工具下的欧氏距离计算获得 m 到铁路距离 m 到公路距离 m 到农村居民点距离 m 到城镇距离 2013、2017 m
Table 2. Carbon density of different land use types in Zichang county (t/hm2)
View tableView in ArticleTable 2. Carbon density of different land use types in Zichang county (t/hm2)
土地利用类型 Ci -above Ci -below Ci -soil 耕地 14.47 37.08 99.45 林地 19.48 53.25 217.33 草地 16.22 39.74 91.74 水域 0.02 0 60.56 城乡工矿建设用地 0 0 54.51
Table 3. Predicted land type of four scenarios of GFGP in Zichang county in 2037 (hm2)
View tableView in ArticleTable 3. Predicted land type of four scenarios of GFGP in Zichang county in 2037 (hm2)
退耕还林还草情景 耕地 林地 草地 水域 城乡工矿建设用地 2017年 84376 47853 105885 249 1111 退耕还林还草情景A 63974 59570 112742 230 2959 退耕还林还草情景B 60920 61841 113535 230 2948 退耕还林还草情景C 58528 63468 114310 230 2939 退耕还林还草情景D 56198 65025 115091 230 2930
Table 4. Effect of GFGP on carbon storage in terrestrial ecosystem in Zichang county
View tableView in ArticleTable 4. Effect of GFGP on carbon storage in terrestrial ecosystem in Zichang county
2000—2008年 2008—2013年 2013—2017年 2000—2017年 退耕情景A 退耕情景B 退耕情景C 退耕情景D 退耕还林/hm2 15962.4 1443.15 2561.4 19966.95 14228.01 14924.97 15739.56 16125.12 退耕还草/hm2 1018.89 8716.86 1925.28 11661.03 38491.38 38996.91 39220.11 40177.26 退耕总面积/hm2 16981.29 10160.01 4486.68 31627.98 52719.39 53921.88 54959.67 56302.38 退耕还林贡献碳汇量/103 t 643.41 90.57 31.83 765.81 2247.22 2366.31 2429.37 2557.37 退耕还草贡献碳汇量/103 t 3.11 9.44 1.09 13.64 87.90 83.85 80.33 77.43 退耕贡献碳汇总量/103 t 646.53 100.01 32.92 779.45 2335.12 2450.16 2509.70 2634.80 退耕还林贡献碳汇经济价值/万美元 2525.40 2659.24 2730.11 2873.95 2525.40 2659.24 2730.11 2873.95 退耕还草贡献碳汇经济价值/万美元 98.78 94.23 90.28 87.02 98.78 94.23 90.28 87.02 退耕贡献碳汇总价值/万美元 2624.19 2753.47 2820.38 2960.96 2624.19 2753.47 2820.38 2960.96
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Yuan-jie DENG, Shun-bo YAO, Meng-yang HOU, Tong-yue ZHANG, Ya-nan LU, Zhi-wen GONG, Yi-fei WANG. Assessing the effects of the Green for Grain Program on ecosystem carbon storage service by linking the InVEST and FLUS models: A case study of Zichang county in hilly and gully region of Loess Plateau[J]. Journal of Natural Resources, 2020, 35(4): 826
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Received: Dec. 25, 2018
Accepted: --
Published Online: Oct. 17, 2020
The Author Email: YAO Shun-bo (yaoshunbo@163.com)
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