宁夏水土保持生态补偿优先区识别

doi:10.13866/j.azr.2023.09.16

Abstract

Abstract:

Identifying priority areas for ecological compensation under soil and water conservation is an important reference for establishing a suitable compensation system to support local ecological development. In this study, the Ningxia Hui Autonomous Region is taken as the study area, and the InVEST model is employed to evaluate three major soil and water conservation service functions: water connotation, soil conservation, and carbon storage. Their respective value amounts were assessed. Additionally, the ecological compensation priority and ecological vulnerability index of each district and county are considered to conduct a spatial identification of priority areas for ecological compensation for soil and water conservation in Ningxia. Research has shown that the value of soil and water conservation in Ningxia has steadily increased each decade from 2000 to 2020, reaching 247.89 billion yuan, 266.17 billion yuan, and 295.85 billion yuan, respectively. Geographically, the southern regions generally exhibit higher values, whereas the northern regions show lower values, with Jingyuan County, Guyuan City, and Jinfeng District, Yinchuan City, representing the highest, and lowest values, respectively. Over the years, the priority compensation areas for soil and water conservation have experienced relatively minor changes. These areas are mainly located in the southern regions, characterized by high ecological value but economic backwardness. The secondary priority areas for ecological compensation are located in the central and northern regions, characterized by low ecological value but high economic development. Compensating these priority areas can effectively improve the efficiency of ecological compensation, foster the regional ecological environment, and promote sustainable economic, and social development.

Key words: ecological service value, ecological compensation priority zone, soil and water conservation, InVEST model

SHEN Cao,REN Zongping,LI Peng,WANG Kaibo,LU Kexin,REN Zhengyan,WEI Xiaoyan. Identification of priority areas for ecological compensation under soil and water conservation in Ningxia[J].Arid Zone Research, 2023, 40(9): 1527-1536.

Figures/Tables 10

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References 33

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评价分数	1级区	2级区	3级区
强脆弱性	5	4	3
弱脆弱性	4	3	2

分目标层	本层权重	准则层	本层权重	指标层	指标说明
生态压力度	0.14	人口活动压力	0.4	人口密度	正向指标
生态压力度	0.14	经济活动压力	0.6	地均GDP	负向指标
生态敏感性	0.62	地形因子	0.2	高程	正向指标
				坡度	正向指标
				地形起伏度	正向指标
		气象因子	0.1	降雨侵蚀力	正向指标
				年均气温	负向指标
				年均相对湿度	负向指标
		地表因子	0.1	植被覆盖率	负向指标
		土壤因子	0.5	土壤侵蚀强度	正向指标
生态恢复力	0.24	景观结构	0.2	景观多样性指数	负向指标
		功能	0.5	土壤有机质	正向指标
		生态环境质量	0.3	生物丰度	负向指标

地区	2000年		2010年		2020年
地区	水保价值 /(10⁴元·km^-2)	GDP/(10⁴元·km^-2)	水保价值 /(10⁴元·km^-2)	GDP/(10⁴元·km^-2)	水保价值 /(10⁴元·km^-2)	GDP /(10⁴元·km^-2)
泾源县	2293.5	13.9	2452.9	64.5	2480.6	183.8
海原县	635.6	8.4	665.6	43.8	842.5	152.6
彭阳县	1133.5	10.2	1253.8	73.7	1194.0	253.3
西吉县	1081.4	12.2	1200.9	82.8	963.4	223.3
隆德县	1888.3	36.9	2021.2	110.8	1190.4	315.9
同心县	402.7	7.8	424.1	60.2	573.8	207.7
盐池县	229.2	14.6	265.7	41.8	336.5	161.3
原州区	957.0	17.9	1017.1	161.3	1019.4	495.8
红寺堡区	251.8	16.6	255.3	34.9	325.6	301.6
沙坡头区	211.8	25.6	218.6	159.6	324.7	354.5
中宁县	231.3	27.3	229.8	205.5	301.8	523.2
平罗县	218.6	48.8	245.3	393.4	367.7	812.1
贺兰县	171.7	124.0	172.3	449.9	459.3	1158.7
青铜峡市	243.2	83.0	261.1	486.1	232.9	663.0
永宁县	177.2	149.6	181.7	666.2	255.7	1093.2
惠农区	194.2	111.4	189.5	390.9	343.8	1473.2
利通区	197.6	153.2	245.0	955.0	235.1	1055.7
大武口区	258.2	247.8	287.2	1278.7	406.0	1968.7
西夏区	174.8	34.8	181.9	531.6	550.5	3590.9
灵武市	258.0	449.4	272.9	1638.6	201.1	1748.6
兴庆区	150.1	307.8	154.2	3805.1	199.3	8244.0
金凤区	160.2	484.3	138.7	4759.2	209.3	10489.3

生态补偿区划	补偿面积/（km²）	补偿面积占比/%	水土保持价值/10⁸元	水土保持价值占比/%	GDP占比/%	水土流失面积占比/%
优先补偿区	23726	0.46	1892.2	0.64	0.12	0.71
次级补偿区	8132	0.16	455.5	0.15	0.09	0.15
一般补偿区	10533	0.2	342.2	0.12	0.18	0.08
潜在补偿区	9532	0.18	268.6	0.09	0.61	0.07

Identification of priority areas for ecological compensation under soil and water conservation in Ningxia

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