中国北方农牧交错区生态脆弱性时空演变格局与驱动因素——以盐池县为例

doi:10.12118/j.issn.1000–6060.2021.04.29

Abstract

Abstract:

Ecological vulnerability is a current focus of research on global environmental changes and regional sustainable development, as well as of research on ecological civilization construction and green development. In this study, Yanchi County in Ningxia, which is an agro-pastoral area in northern China, was taken as an example. Three remote sensing datasets were collected from 2000 to 2017, and the landscape pattern index method, grid technology, spatial autocorrelation analysis, and geographic detector models were used to assess the ecological vulnerability of the study area. The temporal and spatial patterns and their driving factors were evaluated comprehensively. The results showed that, during the study period, the landscape of Yanchi County was dominated by grassland and cultivated land. Together, the two land types accounted for more than 70% of the total study area. The grassland increased in area each year at an average annual rate of 0.82%. The farm land and unused land decreased in area by 44673.7 and 73033.1 hm², respectively. The woodland, water, and construction land types increased rapidly in area at average annual rates of 2.86%, 2.15%, and 4.80%, respectively. The number of patches of landscape in the study area decreased over time; the degree of fragmentation decreased, and the different land types had good connectivity. Generally, the land types showed regular and continuous evolution, and the ecological vulnerability of the study area decreased each year. Ecologically fragile areas were mainly distributed in Gaoshawo Town and Huamachi Town in the north and Hui’anbu Town in the west. Less ecologically fragile areas were mainly distributed in Mahuangshan Town, Dashuikeng Town, and Qingshan Township in the southeast. The less ecologically fragile area was continuously distributed from southeast to northwest, and the spatial autocorrelation Moran’s I was greater than 0.52, which indicates a positive correlation and represents significant agglomeration and heterogeneity. The results indicated that the number of landscape patches, landscape fragmentation, landscape dominance, and Shannon diversity index are the main influencing factors that affect the spatial heterogeneity of ecological vulnerability in the study area.

Key words: ecological vulnerability, spatiotemporal evolution, spatial autocorrelation, geographic detector, farming pastoral ecotone in north China

HUANG Yue,CHENG Jing,WANG Peng. Spatiotemporal evolution pattern and driving factors of ecological vulnerability in agro-pastoral region in northern China: A case of Yanchi County in Ningxia[J].Arid Land Geography, 2021, 44(4): 1175-1185.

Figures/Tables 8

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References 37

[1]	王贝贝, 丁明军, 管琪卉, 等. 基于格网的南昌市生态环境脆弱性评价[J]. 生态学报, 2019, 39(15):5460-5472.
	[ Wang Beibei, Ding Mingjun, Guan Qihui, et al. Gridded assessment of eco-environmental vulnerability in Nanchang City[J]. Acta Ecologica Sinica, 2019, 39(15):5460-5472. ]
[2]	靳毅, 蒙吉军. 生态脆弱性评价与预测研究进展[J]. 生态学杂志, 2011, 30(11):2646-2652.
	[ Jin Yi, Meng Jijun. Assessment and forecast of ecological vulnerability: A review[J]. Chinese Journal of Ecology, 2011, 30(11):2646-2652. ]
[3]	张学玲, 余文波, 蔡海生, 等. 区域生态环境脆弱性评价方法研究综述[J]. 生态学报, 2018, 38(16):5970-5981.
	[ Zhang Xueling, Yu Wenbo, Cai Haisheng, et al. Review of the evaluation methods of regional eco-environmental vulnerability[J]. Acta Ecologica Sinica, 2018, 38(16):5970-5981. ]
[4]	田亚平, 常昊. 中国生态脆弱性研究进展的文献计量分析[J]. 地理学报, 2012, 67(11):1515-1525.
	[ Tian Yaping, Chang Hao. Bibliometric analysis of research progress on ecological vulnerability in China[J]. Journal of Geographical Sciences, 2012, 67(11):1515-1525. ]
[5]	陈萍, 陈晓玲. 全球环境变化下人-环境耦合系统的脆弱性研究综述[J]. 地理科学进展, 2010, 29(4):454-462. doi: 10.11820/dlkxjz.2010.04.010
	[ Chen Ping, Chen Xiaoling. Summary on research of coupled human-environment system vulnerability under global environmental change[J]. Progress in Geography, 2010, 29(4):454-462. ] doi: 10.11820/dlkxjz.2010.04.010
[6]	刘晶, 刘学录, 侯莉敏. 祁连山东段山地景观格局变化及其生态脆弱性分析[J]. 干旱区地理, 2012, 35(5):795-805.
	[ Liu Jing, Liu Xuelu, Hou Limin. Mountain landscape pattern changes and ecological vulnerability analysis in the eastern part of Qilian Mountains[J]. Arid Land Geography, 2012, 35(5):795-805. ]
[7]	贾晶晶, 赵军, 王建邦, 等. 基于SRP模型的石羊河流域生态脆弱性评价[J]. 干旱区资源与环境, 2020, 34(1):34-41.
	[ Jia Jingjing, Zhao Jun, Wang Jianbang, et al. Ecological vulnerability assessment of Shiyang River Basin based on SRP model[J]. Journal of Arid Land Resources and Environment, 2020, 34(1):34-41. ]
[8]	田鹏, 李加林, 姜忆湄, 等. 海湾景观生态脆弱性及其对人类活动的响应——以东海区为例[J]. 生态学报, 2019, 39(4):1463-1474.
	[ Tian Peng, Li Jialin, Jiang Yimei, et al. Ecological vulnerability of the bay landscape and its response to human activities: A case study of the East China Sea[J]. Acta Ecologica Sinica, 2019, 39(4):1463-1474. ]
[9]	付刚, 白加德, 齐月, 等. 基于GIS的北京市生态脆弱性评价[J]. 生态与农村环境学报, 2018, 34(9):830-839.
	[ Fu Gang, Bai Jiade, Qi Yue, et al. Ecological vulnerability assessment in Beijing based on GIS spatial analysis[J]. Journal of Ecology and Rural Environment, 2018, 34(9):830-839. ]
[10]	韩鑫, 刘传胜, 胡江玲, 等. 新疆天山自然遗产地景观格局动态演化及其生态健康评价[J]. 干旱区地理, 2019, 42(1):195-205.
	[ Han Xin, Liu Chuansheng, Hu Jiangling, et al. Dynamic evolution of landscape pattern and ecological health evaluation of natural heritage sites in Tianshan Mountains, Xinjiang[J]. Arid Land Geography, 2019, 42(1):195-205. ]
[11]	魏晓旭, 赵军, 魏伟, 等. 中国县域单元生态脆弱性时空变化研究[J]. 环境科学学报, 2016, 36(2):726-739.
	[ Wei Xiaoxu, Zhao Jun, Wei Wei, et al. Spatial and temporal changes of ecological vulnerability per county unit in China[J]. Acta Scientiae Circumstantiae, 2016, 36(2):726-739. ]
[12]	林金煌, 胡国建, 祁新华, 等. 闽三角城市群生态环境脆弱性及其驱动力[J]. 生态学报, 2018, 38(12):4155-4166.
	[ Lin Jinhuang, Hu Guojian, Qi Xinhua, et al. Ecological environmental vulnerability and its driving forces in urban agglomeration in the Fujian Delta Region[J]. Acta Ecologica Sinica, 2018, 38(12):4155-4166. ]
[13]	田海宁. 汉中市生态脆弱性评价及空间分布规律研究[J]. 中国农业资源与区划, 2017, 38(3):148-152.
	[ Tian Haining. The ecological vulnerability assessment and spatial distribution of Hanzhong City[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(3):148-152. ]
[14]	王群, 银马华, 杨兴柱, 等. 大别山贫困区旅游地社会-生态系统脆弱性时空演变与影响机理[J]. 地理学报, 2019, 74(8):1663-1679. doi: 10.11821/dlxb201908013
	[ Wang Qun, Yin Mahua, Yang Xingzhu, et al. Spatio-temporal evolution and impact mechanism of socio-ecological system vulnerability in poor mountainous tourist distinations: Taking Dabie Mountain Area as example[J]. Acta Geographica Sinica, 2019, 74(8):1663-1679. ] doi: 10.11821/dlxb201908013
[15]	赵越, 罗志军, 李雅婷, 等. 赣江上游流域景观生态风险的时空分异——从生产-生活-生态空间的视角[J]. 生态学报, 2019, 39(13):4676-4686.
	[ Zhao Yue, Luo Zhijun, Li Yating, et al. Study of the spatial-temporal variation of landscape ecological risk in the upper reaches of the Ganjiang River Basin based on the “production-living-ecological space”[J]. Acta Ecologica Sinica, 2019, 39(13):4676-4686. ]
[16]	Focks A, Ter H M, Erik V D B, et al. Integrating chemical fate and population-level effect models for pesticides at landscape scale: New options for risk assessment[J]. Ecological Modelling, 2014, 280:102-116. doi: 10.1016/j.ecolmodel.2013.09.023
[17]	Zhang W Q, Shan B Q, Li J, et al. Characteristics, distribution and ecological risk assessment of phosphorus in surface sediments from different ecosystems in eastern China: A ³¹P-nuclear magnetic resonance study[J]. Ecological Engineering, 2015, 75:264-271. doi: 10.1016/j.ecoleng.2014.11.055
[18]	王媛, 周长威. 黔中城市群景观生态安全格局构建[J]. 生态与农村环境学报, 2019, 35(9):1111-1117.
	[ Wang Yuan, Zhou Changwei. Landscape ecological security pattern in central Guizhou urban agglomeration[J]. Journal of Ecology and Rural Environment, 2019, 35(9):1111-1117. ]
[19]	李冲, 张璇, 吴一帆, 等. 京津冀生态屏障区景观格局变化及其对水源涵养的影响[J]. 中国环境科学, 2019, 39(6):2588-2595.
	[ Li Chong, Zhang Xuan, Wu Yifan, et al. Landscape pattern change of the ecological barrier zone in Beijing-Tianjin-Hebei region and its impact on water conservation[J]. China Environmental Science, 2019, 39(6):2588-2595. ]
[20]	董雅雯, 佘济云, 陈冬洋, 等. 基于景观格局及生态敏感性的三亚市景观脆弱度研究[J]. 西南林业大学学报, 2016, 36(4):103-108.
	[ Dong Yawen, She Jiyun, Chen Dongyang, et al. Landscape vulnerability analysis of Sanya City based on the landscape pattern and ecological sensibility[J]. Journal of Southwest Forestry University, 2016, 36(4):103-108. ]
[21]	王鹏, 王亚娟, 刘小鹏, 等. 基于景观结构的生态移民安置区生态风险评价——以宁夏红寺堡区为例[J]. 生态学报, 2018, 38(8):2672-2682.
	[ Wang Peng, Wang Yajuan, Liu Xiaopeng, et al. Ecological risk assessment of an ecological migrant resettlement region based on landscape structure: A case study of Hongsibu in Ningxia[J]. Acta Ecologica Sinica, 2018, 38(8):2672-2682. ]
[22]	Sati P V. Landscape vulnerability and rehabilitation issues: A study of hydropower projects in Garhwal region, Himalaya[J]. Natural Hazards, 2015, 75(3):2265-2278. doi: 10.1007/s11069-014-1430-y
[23]	Thomas M F. Landscape sensitivity in time and space: An introduction[J]. Catena, 2001, 42(2):2265-2278.
[24]	孙鸿超, 张正祥. 吉林省松花江流域景观格局脆弱性变化及其驱动力[J]. 干旱区研究, 2019, 36(4):1005-1014.
	[ Sun Hongchao, Zhang Zhengxiang. Change of landscape pattern vulnerability in the Songhua River Basin in Jilin Province and its driving forces[J]. Arid Zone Research, 2019, 36(4):1005-1014. ]
[25]	邹君, 刘媛, 谭芳慧, 等. 传统村落景观脆弱性及其定量评价——以湖南省新田县为例[J]. 地理科学, 2018, 38(8):1292-1300. doi: 10.13249/j.cnki.sgs.2018.08.011
	[ Zou Jun, Liu Yuan, Tan Fanghui, et al. Landscape vulnerability and quantitative evaluation of traditional villages: A case study of Xintian County, Hunan Province[J]. Scientia Geographica Sinica, 2018, 38(8):1292-1300. ] doi: 10.13249/j.cnki.sgs.2018.08.011
[26]	李文龙, 石育中, 鲁大铭, 等. 北方农牧交错带干旱脆弱性时空格局演变[J]. 自然资源学报, 2018, 33(9):1599-1612.
	[ Li Wenlong, Shi Yuzhong, Lu Daming, et al. The spatio-temporal evolution of drought vulnerability in the ecotone between agriculture and animal husbandry in the north of China[J]. Journal of Natural Resources, 2018, 33(9):1599-1612. ]
[27]	李旭亮, 杨礼箫, 田伟, 等. 中国北方农牧交错带土地利用/覆盖变化研究综述[J]. 应用生态学报, 2018, 29(10):3487-3495.
	[ Li Xuliang, Yang Lixiao, Tian Wei, et al. Land use and land cover change in agro-pastoral ecotone in northern China: A review[J]. Chinese Journal of Applied Ecology, 2018, 29(10):3487-3495. ]
[28]	David M, Yang Z Q, Waeern B C, et al. A forest vulnerability index based on drought and high temperatures[J]. Remote Sensing of Environment, 2016, 173:314-325. doi: 10.1016/j.rse.2015.11.024
[29]	张金茜, 李红瑛, 曹二佳, 等. 多尺度流域生态脆弱性评价及其空间关联性——以甘肃白龙江流域为例[J]. 应用生态学报, 2018, 29(9):2897-2906.
	[ Zhang Jinqian, Li Hongying, Cao Erjia, et al. Assessment of ecological vulnerability in multi-scale and its spatial correlation: A case study of Bailongjiang Watershed in Gansu Province, China[J]. Chinese Journal of Applied Ecology, 2018, 29(9):2897-2906. ]
[30]	韩振华, 李建东, 殷红, 等. 基于景观格局的辽河三角洲湿地生态安全分析[J]. 生态环境学报, 2010, 19(3):701-705.
	[ Han Zhenhua, Li Jiandong, Yin Hong, et al. Analysis of ecological security of wetland in Liaohe River delta based on the landscape pattern[J]. Ecology and Environmental Sciences, 2010, 19(3):701-705. ]
[31]	李加林, 徐谅慧, 杨磊, 等. 浙江省海岸带景观生态风险格局演变研究[J]. 水土保持学报, 2016, 30(1):293-299.
	[ Li Jialin, Xu Lianghui, Yang Lei, et al. Study on spatial pattern changes of landscape ecological risk on coastal zone of Zhejiang Province[J]. Journal of Soil and Water Conservation, 2016, 30(1):293-299. ]
[32]	王鹏, 刘小鹏, 王亚娟, 等. 黄土丘陵沟壑区生态移民过程及其生态系统服务价值评价——以宁夏海原县为例[J]. 干旱区地理, 2019, 42(2):433-443.
	[ Wang Peng, Liu Xiaopeng, Wang Yajuan, et al. Eco-immigration process and evaluation of ecosystem service value in hilly and gully regions of the Loess Plateau: Taking Haiyuan County in Ningxia as an example[J]. Arid Land Geography, 2019, 42(2):433-443. ]
[33]	李帅, 马文超, 顾艳文, 等. 宁夏黄河流域景观破碎化时空变化特征[J]. 生态学报, 2016, 36(11):3312-3320.
	[ Li Shuai, Ma Wenchao, Gu Yanwen, et al. Analysis of spatial-temporal changes in landscape fragmentation in the Ningxia Yellow River Valley[J]. Acta Ecologica Sinica, 2016, 36(11):3312-3320. ]
[34]	文琦, 施琳娜, 马彩虹, 等. 黄土高原村域多维贫困空间异质性研究——以宁夏彭阳县为例[J]. 地理学报, 2018, 73(10):1850-1864. doi: 10.11821/dlxb201810003
	[ Wen Qi, Shi Linna, Ma Caihong, et al. Spatial heterogeneity of multidimensional poverty at the village level: Loess Plateau[J]. Acta Geographica Sinica, 2018, 73(10):1850-1864. ] doi: 10.11821/dlxb201810003
[35]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1):116-134. doi: 10.11821/dlxb201701010
	[ Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1):116-134. ] doi: 10.11821/dlxb201701010
[36]	任志远, 张晗. 银川盆地土地利用变化对景观格局脆弱性的影响[J]. 应用生态学报, 2016, 27(1):243-249.
	[ Ren Zhiyuan, Zhang Han. Effects of land use change on landscape pattern vulnerability in Yinchuan Basin, northwest China[J]. Chinese Journal of Applied Ecology, 2016, 27(1):243-249. ]
[37]	陈勇, 周立华, 王伟伟, 等. 典型沙漠化逆转区人地系统脆弱性及其障碍因子[J]. 中国沙漠, 2020, 40(4):63-70.
	[ Chen Yong, Zhou Lihua, Wang Weiwei, et al. Human-land system vulnerability and obstacle factors in typical desertification reversal areas[J]. Journal of Desert Research, 2020, 40(4):63-70. ]

年份	项目	耕地	林地	草地	水域	建设用地	未利用地
2000	面积/hm²	214131.27	83211.15	377689.95	9220.58	25777.45	127698.94
2000	比例/%	25.56	9.93	45.08	1.10	3.08	15.24
2008	面积/hm²	189927.18	105415.27	412605.18	11267.99	32484.44	86029.31
2008	比例/%	22.67	12.58	49.25	1.35	3.88	10.27
2017	面积/hm²	169457.57	123698.84	430485.28	12595.88	46825.93	54665.84
2017	比例/%	20.23	14.77	51.39	1.50	5.59	6.53
2000—2008	变化率/%	-0.66	1.57	0.54	1.31	1.53	-1.92
2008—2017	变化率/%	-0.63	1.02	0.25	0.69	2.60	-2.14
2000—2017	变化率/%	-1.23	2.86	0.82	2.15	4.80	-3.36

景观类型	年份	斑块密度/块·hm^-2	边缘密度/m·hm^-2	最大斑块指数/%	平均斑块面积/hm²
耕地	2000	1.426	14.253	13.157	237.542
	2008	1.539	16.557	11.036	212.375
	2017	1.692	17.952	10.268	199.483
林地	2000	0.563	7.442	0.619	56.593
	2008	0.497	6.129	0.843	62.469
	2017	0.423	5.622	1.236	69.342
草地	2000	2.463	22.649	23.548	204.861
	2008	2.169	19.429	25.529	396.483
	2017	1.837	17.449	27.334	475.252
水域	2000	0.359	6.253	0.816	29.354
	2008	0.372	5.972	0.849	35.559
	2017	0.409	6.128	0.926	39.608
建设用地	2000	0.842	0.573	0.428	47.529
	2008	0.719	0.591	0.627	52.267
	2017	0.568	0.463	0.934	59.346
未利用地	2000	0.423	0.396	0.716	27.689
	2008	0.476	0.463	0.529	25.466
	2017	0.545	0.579	0.337	22.537

年份	斑块数/个	面积加权平均形状指数	蔓延度指数	香浓多样性指数	香浓均匀度指数
2000	7647	24.68	59.15	0.91	0.64
2008	7269	21.19	58.49	0.89	0.62
2017	6873	19.43	58.05	0.88	0.61

影响因素	2000年	2008年	2017年
景观斑块数	0.568	0.554	0.561
景观破碎度	0.627	0.593	0.546
景观分离度	0.455	0.376	0.439
景观优势度	0.469	0.522	0.573
景观易损度	0.433	0.416	0.429
香浓多样性指数	0.463	0.522	0.569
香浓均匀度指数	0.326	0.297	0.318
斑块密度指数	0.343	0.357	0.352

Spatiotemporal evolution pattern and driving factors of ecological vulnerability in agro-pastoral region in northern China: A case of Yanchi County in Ningxia

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