基于RUSLE的农业生态系统土壤保持价值估算研究

doi:10.19788/j.issn.2096-6369.000005

Abstract

Abstract:

Taking Gongzhuling of Jilin Province as the research area, the soil conservation value of the total ecosystem and agricultural ecosystem in this area was estimated respectively by using meteorological data, land use data, digital elevation data, remote sensing image data, agricultural fertilizer market price statistics, and the modified general soil loss equation (RUSLE). The result shows that the total ecosystem soil conservation value of the entire region in 2015 was about 12.537 billion yuan (accounting for 28.3% of the total GDP of the same year), of which the agricultural ecosystem soil conservation value was about 11.107 billion yuan, accounting for 88.6% of the total ecosystem soil conservation value; This includes a value of 9.348 billion yuan for cultivated land conservation, 1.671 billion yuan for forest land conservation, and 88 million yuan for grassland conservation.

Key words: RUSLE, soil conservation, value, estimate, GIS

YANG XinHai, JIANG HaoChen, LEI BaoJia, YAO ZhenHai, MA Chao. Estimation of Soil Conservation Value in Agro-ecosystem Based on RUSLE[J].Journal of Agricultural Big Data, 2024, 6(1): 48-55.

Figures/Tables 9

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References 16

[1]	李晓晖, 萧敬豪, 王建军, 等. 面向生态修复的自然资源资产评估与应用研究——以广州市为例[J]. 生态学报, 2022, 42(3):1192-1202.
[2]	李加林, 童亿勤, 杨晓平, 等. 杭州湾南岸农业生态系统土壤保持功能及其生态经济价值评估[J]. 水土保持研究, 2005(4):202-205.
[3]	朱青, 周自翔, 刘婷, 等. 黄土高原植被恢复与生态系统土壤保持服务价值增益研究——以延河流域为例[J]. 生态学报, 2021, 41(7):2557-2570.
[4]	陈童尧, 贾燕锋, 王佳楠, 等. 基于InVEST模型的祁连山国家级自然保护区土壤保持现状与功能[J]. 干旱区研究, 2020, 37(1):150-159.
[5]	陈召亚, 李超, 何玲, 等. 黄骅市土壤保持价值年内动态特征[J]. 中国生态农业学报, 2016, 24(2):244-255.
[6]	王纪伟, 孙光, 罗遵兰, 等. 汉江上游森林生态系统土壤保持服务功能研究[J]. 环境科学与技术, 2015, 38(12):291-297.
[7]	肖洋, 欧阳志云, 徐卫华, 等. 基于GIS重庆土壤侵蚀及土壤保持分析[J]. 生态学报, 2015, 35(21):7130-7138.
[8]	黄龙生, 王兵, 牛香, 等. 天保工程对东北和内蒙古重点国有林区保育土壤生态效益的影响[J]. 中国水土保持科学, 2017, 15(5):67-77.
[9]	刘勇, 王玉杰, 王红霞, 等. 长江三峡库区6种退耕还林模式涵养水源与保育土壤效益及其价值估算[J]. 中国水土保持科学, 2014, 12(6): 50-58.
[10]	李晶, 任志远. 基于GIS的陕北黄土高原土地生态系统水土保持价值评价[J]. 中国农业科学, 2007(12):2796-2803.
[11]	李晶, 任志远. 陕北黄土高原土地利用生态服务价值时空研究[J]. 中国农业科学, 2006(12):2538-2544.
[12]	RENARD K G, FOSTER G R, WEESIES G A, et al. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)[M]. 1997.
[13]	ARNOLDUS H M J. An Approximation of the Rainfall Factor in the Universal Soil Loss Equation//De Boodt M, Gabriels D(Eds). Assessment of Erosion[M]. John Wiley and Sons Ltd, 1980: 127-132.
[14]	翟伟峰, 许林书. 东北典型黑土区土壤可蚀性K值研究[J]. 土壤通报, 2011, 42(5):1209-1213.
[15]	张宪奎, 许靖华, 卢秀琴, 等. 黑龙江省土壤流失方程的研究[J]. 水土保持通报, 1992(4):1-9.
[16]	DEM, soil data, landuse data[DS/OL]. V1. Science Data Bank, 2023[2023-12-21]. https://cstr.cn/17058.11.sciencedb.agriculture.00095.

	海拔（m）	坡度（°）
最大值	360.00	25.86
最小值	125.00	0.00
平均值	198.88	1.61
标准差	29.69	1.27

序号	数据类型	数据内容	时间（年）	空间分辨率（m）	来源
1	气象数据	主要收集研究区范围内的20个气象站的逐月降雨数据	1986；2015	\	Jiang. 2023^[16]
2	土壤数据	研究区土壤类型分布图；土地利用现状数据	2015	\	Jiang. 2023^[16]
3	DEM数据	采用Aster-gDEM	\	30	Jiang. 2023^[16]
4	遥感影像数据	Landsat8影像数据	2015	15	地理空间数据云 https://www.gscloud.cn/sources
5	土壤参数数据	研究区土壤类型氮、磷、钾含量	2015	30	Jiang. 2023^[16]
6	其他数据	农业化肥价格资料及社会经济统计数据等	2015	\	统计年鉴 http://tjj.jl.gov.cn/tjsj/tjnj/2015/ml/indexc.htm

	草地	灌丛	茂林	耕地
>70%	0.04	0.03	0.0003	\
(50%, 70%]	0.06	0.05	0.01	\
(30%, 50%]	0.10	0.09	0.04	\
[10%, 30%]	0.17	0.15	0.05	\
<10%	0.24	0.20	0.06	\
顺坡耕作	\	\	\	1
等高耕作	\	\	\	0.350
梯田耕作	\	\	\	0.030
灌溉措施	\	\	\	0.003

农业生态系统		土壤保持价值（万元）
农业生态系统		N	P	K	合计
耕地	水田	1247.05	1233.4	32626.195	35106.645
耕地	旱地	28132.3	28469.805	843090.5	899692.605
林地	有林地	10570.14	10945.55	120767.5	142283.19
	疏林地	1269.0545	1290.709	17312.75	19872.5135
	灌木林地	268.59105	271.58285	1645.0035	2185.1774
	其他林地	157.6953	163.0895	2438.8595	2759.6443
草地	高覆盖草地	138.285	141.2306	2360.806	2640.3216
	中覆盖草地	330.3629	336.84805	5376.665	6043.87595
	低覆盖草地	3.0065	3.262	109.80235	116.07085
总计					1110701.44

Estimation of Soil Conservation Value in Agro-ecosystem Based on RUSLE

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