水土流失风险扰动下区域人地系统适应性研究——以榆林市为例

doi:10.11849/zrzyxb.20150161

Abstract

Abstract: The concept of adaptation provides a new research thought in the field of sustainable science. On the basis of summarizing and combing the definition of adaptation and integrating the theories and methods related to adaptation, this paper proposes an analytical framework of the adaptation based on the risk disturbance. In this research, risk-adaptive capacity index is used to quantify the adaptation of regional human-environmental system, and adaptation of system is divided into two dimensions: risk interference and adaptive capacity (including three parameters: ecological capacity, economic capacity and social capacity). From the perspective of the risks of soil erosion in the study area, the adaptation evaluation index system is constructed. By using USA Universal Soil Loss Equation (USLE) and adaptive function model, the risk of soil erosion and the spatial-temporal evolution characteristics of adaptive capacity of human-environmental system in Yulin City were analyzed. On the foundation of the evaluation of adaptive level of system, this paper reveals the driving factors of the adaptive evolution of human-environmental system in different periods in Yulin City. The results are shown as follows: 1) In Yulin City, the risk of soil erosion significantly decreased during 2000-2011, but the spatial and temporal evolution was obvious. In 2011, the high loss areas were transferred to the southwest region and region along the Great Wall. 2) During 2000-2011, the adaptive level of system showed an overall increasing trend in Yulin City, however it was polarized in space showing a pattern of “high in northwest Yulin and low in southeast Yulin”. The northern counties were significantly higher than the southern part in ecological capacity, economic capacity and social capacity, but the advancement of adaptive level of the southern counties was more obvious than the northern part. 3) The driving force of the adaptive evolution of human-environmental system transformed from the social and economic development to the combined action of ecological environment restoration, economic capacity enhancement and social security promotion.

Key words: adaptive capacity, risk, soil erosion, Yulin City

CLC Number:

S157.1

CHEN Jia, WU Kong-sen, YIN Sha, YANG Qing-qing. The Adaptation of Regional Human-environmentalSystem under the Risk of Soil Erosion: A Case Study of Yulin City[J].JOURNAL OF NATURAL RESOURCES, 2016, 31(10): 1688-1701.

References

[1] TIMMRMAN P. Vulnerability, Resilience and the Collapse of Society: A Review of Models and Possible Climatic Applications. Toronto [M]. Canada: Institute for Environmental Studies, University of Toronto, 1981.
[2] GUNDERSON L H, HOLLING C S. Panarchy: Understanding Transformations in Human and Natural Systems [M]. Washington D.C.: Island Press, 2002
[3] ADGER W N, KELLY P. M. Social vulnerability to climate change and the architecture of entitlements [J]. Mitigation and Adaptation Strategies for Global Change, 1999, 4 (34): 253-266.
[4] FOLKE C, CARPENTER S, ELMQVIST T, et al. Resilience and sustainable development: Building adaptive capacity in a world of transformations [J]. Ambio, 2002, 31(4): 437-440
[5] 葛全胜, 邹铭, 郑景云. 中国自然灾害风险综合评估初步研究 [M]. 北京: 科学出版社, 2008.

[6] BARRY S, JOHANNA W. Adaptation, adaptive capacity and vulnerability [J]. Global Environmental Change, 2006, 16: 282-292
[7] 李月臣, 刘春霞, 赵纯勇. 三峡库区重庆段水土流失的时空格局特征 [J]. 地理学报, 2010, 63(5): 502-513.

[8] 刘毅, 黄建毅, 马丽. 基于DEA模型的我国自然灾害区域脆弱性评价 [J]. 地理研究, 2010, 29(7): 1153-1162.

[9] 方修琦, 殷培红. 弹性、脆弱性和适应: IHDP三个核心概念综述 [J]. 地理科学进展, 2007, 26(5): 11-22.

[10] 陈宜瑜. 对开展全球变化区域适应研究的几点看法 [J]. 地球科学进展, 2004, 19(4): 495-499. [CHEN Y Y. Some views on the study of regional adaptation to global change. Advances in Earth Science, 2004, 19(4): 495 -499. ]
[11] SMIT B, WANDEL J. Adaptation, adaptive capacity and vulnerability [J]. Global Environmental Change, 2006, 16(3): 282-292.
[12] NELSON D R, ADGER W N, BROWN K. Adaptation to environmental change: Contributions of a resilience framework [J]. Annual Review of Environment and Resources, 2006, 32(1): 395-419.
[13] GALLOPIN G C. Linkages between vulnerability, resilience, and adaptive capacity [J]. Global Environmental Change, 2006, 16(3): 293-303.
[14] JANSSEN M A, OSTROM E. Resilience, vulnerability, and adaptation: A crosscutting theme of the International Human Dimensions Programmer on Global Environmental Change [J]. Global Environmental Change, 2006, 16(3): 237-239.
[15] LILIBETH A, RICHARD J.T, PYTRIK R. A spatially explicit scenario-driven model of adaptive capacity to global change in Europe [J]. Global Environmental Change, 2013, 23: 1211-1224.
[16] 徐瑱, 祁元, 齐红超. 社会-生态系统框架下区域生态系统适应能力建模研究 [J]. 中国沙漠, 2010, 30(5): 1174-1179.

[17] VISHNU P P, MUKAND S B, SANGAM S, et al. A framework to assess adaptive capacity of the water resources system in Nepalese river basins [J]. Ecological Indicators, 2011, 11: 480-488.
[18] 徐广才, 康慕谊, 史亚军. 自然资源适应性管理研究综述 [J]. 自然资源学报, 2013, 28(10): 1797-1807.

[19] 仇方道. 东北地区矿业城市产业生态系统适应性研究 [M]. 北京: 科学出版社, 2011: 41-44.

[20] 喻忠磊, 杨新军, 杨涛. 乡村农户适应旅游发展的模式及影响机制——以秦岭金丝峡景区为例 [J]. 地理学报, 2013, 68(8): 1143-1156.

[21] GUNDERSON L H, HOLLING C S. Panarchy: Understanding Transformations in Human and Natural Systems [M]. Washington D C: Island Press, 2002.
[22] ADGER W N. Vulnerability [J]. Global Environmental Change, 2006, 16: 268-281.
[23] POLSKY C, NEFF R, YARNAL B. Building comparable global change vulnerability assessments: The vulnerability scoping diagram [J]. Global Environmental Change, 2007, 17(3/4): 472-485.
[24] FRAZIER T G, THOMPSON C M, DEZZANI R J, et al. A framework for the development of the SERV model: A spatially explicit resilience-vulnerability model [J]. Applied Geography, 2014, 51: 158-172.
[25] 侯国林, 黄震方. 旅游地社区参与度熵权层次分析评价模型与应用 [J]. 地理研究, 2010, 29(10): 1803-1813.

[26] 喻忠磊, 杨新军, 石育中. 关中地区城市干旱脆弱性评价 [J]. 资源科学, 2012, 34(3): 581-588.

[27] LUERS A L, LOBELL D B, SKLAR LS, et al. A method for quantifying vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico [J]. Global Environmental Change, 2003, 13(4): 255-267.
[28] METZGER M J, LEEMANS R, SCHRÖTER D. A multidisciplinary multi-scale framework for assessing vulnerabilities to global change [J]. International Journal of Applied Earth Observation and Geoinformation, 2005, 7(4): 253-267.
[29] WISCHMEIER W H, SMITH D D. Predicting Rainfall Erosion Losses [M]. USDA Agricultural Handbook, 1978: 537.
[30] WISCHMEIER W H, JOHNSON C B, CROSS B V. A soil erodibility nomograph farmland and construction sites [J]. Journal of Soil and Water Conservation, 1971, 26: 189-193.
[31] 蔡崇法, 丁树文, 史志华, 等. 应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究 [J]. 水土保持学报, 2000, 24(2): 20-25.

[32] 胡文敏, 周卫军, 余宇航, 等. 基于RS和USLE的红壤丘陵区小流域水土流失量估算 [J]. 国土资源遥感, 2013, 25(3): 171-177.

The Adaptation of Regional Human-environmentalSystem under the Risk of Soil Erosion: A Case Study of Yulin City

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	LI Ming-yu, GAO Xi-ning, PAN Jie, XIONG Wei, GUO Li-ping, LIN Er-da, LI Kuo. Possible trends of rice yield in China under global warming by 1.5 ℃ and 2.0 ℃ [J]. JOURNAL OF NATURAL RESOURCES, 2021, 36(3): 567-581.
[2]	XIE Li-xia, BAI Yong-ping, CHE Lei, QIAO Fu-wei, SUN Shuai-shuai, YANG Xue-di. Construction of ecological zone based on value-risk ecological function area in the Upper Yellow River [J]. JOURNAL OF NATURAL RESOURCES, 2021, 36(1): 196-207.
[3]	WANG Yan-zai, DONG Yi-fan, SU Zheng-an. Assessment of soil erosion change under land use and reforestation scenarios [J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(6): 1369-1380.
[4]	WANG Xiang, HUAI Jian-jun. Multi-risk assessment of agrometeorological disasters based on a three-level hierarchical framework [J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(6): 1460-1471.
[5]	WANG Cheng, FAN Rong-rong, LONG Zhuo-qi. Risk assessment and spatial differentiation pattern of rural production space system in Chongqing Municipality [J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(5): 1119-1131.
[6]	WANG Jie, BAI Wan-qi, TIAN Guo-hang. A review on ecological risk assessment of land use [J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(3): 576-585.
[7]	ZHU Kong-chao, NIU Shu-wen, ZHAO Yuan, QIU Xin. Quantitative evaluation on supply security of the sources of crude oil imports for China [J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(11): 2629-2644.
[8]	LIU Di, CHEN Hai, SHI Qin-qin, ZHANG Hang, GENG Tian-wei. Spatio-temporal variation of ecological risk in the loess hilly-gully region and its precaution partitions: A case study of Mizhi county, Shaanxi province, China [J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(9): 2012-2025.
[9]	Rong-jie LU, Ying WANG, Jia-sen WU, Pei-kun JIANG. Effect of management intensity on runoff losses of nitrogen and phosphorus in bamboo forests in Zhejiang province [J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(6): 1296-1305.
[10]	Yan-de JING, Hua-mei ZHANG. Risk assessment of non-point source pollution output in Nansihu Lake Basin based on LUCC [J]. JOURNAL OF NATURAL RESOURCES, 2019, 34(1): 128-139.
[11]	MIAO Qian, XIE Zhi-qing, ZENG Yan, WANG Ke-qing, SUN Jia-li. Research of Critical Rainfalls in Wet-net Plains Based on Statistical Method and FloodArea [J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(9): 1563-1574.
[12]	WANG Chang, SONG Hui-ling, ZUO Lü-shui, SUN Jing. Risk Assessment of China’s Preponderant Metals’ Supplying Global Demand [J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(7): 1218-1229.
[13]	LI Li, SONG Bo, CHEN Tong-bin, ZHANG Yun-xia, YU Yuan-yuan, TIAN Mei-ling, LIU Chang, FU Feng-yan. Copper Concentration in Soil of Xijiang River Basin of Guangxi and Risk Assessment [J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(4): 644-656.
[14]	LIU Ting, SHAO Jing-an. Simulation of Soil Erosion Intensity in the Three Gorges Reservoir Area Using BP Neural Network [J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(4): 669-683.
[15]	WU Cheng-guo, BAI Lu, BAI Xia, JIN Ju-liang, JIANG Shang-ming. Risk Assessment and Division Model for Regional Drought Disaster Based on Cloud Model and Bootstrap Method [J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(4): 684-695.