艾比湖流域植被时空变化及驱动力分析

doi:10.12118/j.issn.1000–6060.2021.199

Abstract

Abstract:

Vegetation is one of the sensitive factors reflecting the changes of the land ecosystem and plays an essential role in maintaining and regulating ecosystem stability. In this study, the Ebinur Lake Basin with complex terrain is located northwest of Xinjiang, China and has severe ecological and environmental degradation. Additionally, the ecological environment spatial specificity is obvious. Previous studies have only discussed the influence of climate and elevation on vegetation normalized difference vegetation index (NDVI) in the Ebinur Lake Basin. However, no research has been conducted on other natural and human activity factors, such as the type of vegetation and land use. Additionally, the most relevant analyses could not reveal the complex spatial anisotropy of the Ebinur Lake Basin and study the driver factors of NDVI variation quantitatively. Therefore, this paper takes the ecologically fragile area, i.e., the Ebinur Lake Basin, as the research area. The MODIS vegetation NDVI data from 2000 to 2020 and unary linear regression methods are used to analyze the characteristics of vegetation NDVI from 2000 to 2020. Then, the geographic detector model is used to investigate the influence of natural and human factors and their interaction with vegetation coverage. Furthermore, analyzing the appropriate range (categories) of various influencing factors promotes vegetation growth. The results are as follows. (1) From 2000 to 2020, the average vegetation cover in the Ebinur Lake Basin increased at the rate of 0.035·(10a)^-1, medium grade (0.4-0.6), medium and high grade (0.6-0.8), and high grade (0.8-1.0) vegetation area increased significantly. The ecological environment was effectively improved. The improved areas were distributed in the central and western regions. The significantly improved areas were located in the central part of the Ebinur Lake Basin. Meanwhile, severely degraded areas were scattered in the central part of the Ebinur Lake Basin. (2) The land use type, vegetation type, and soil type factors had a greater influence on the spatial distribution of vegetation NDVI than other factors as the main influencing factors. Elevation was the secondary factor. The precipitation, geomorphological type, temperature, slope, and slope had little direct impact on the spatial distribution of vegetation in the Ebinur Lake Basin. Compared with natural factors, human factors played a leading role in vegetation NDVI changes in the Ebinur Lake Basin. The interaction between natural and human factors on vegetation NDVI was dominated by nonlinear and double-factor enhancements, and there was no independent relationship. (3) Cultivland, cultivated vegetation, artificial soil, medium-undulating mountains, elevation range of 2177-2558 m, precipitation range of 228-245 mm, temperature range of 4.74-5.25 ℃, aspect of 157.5°-202.5°, and slope of 25°-35° were suitable for vegetation growth. This study explored the vegetation spatial differentiation and driving mechanism using the geographic detector model. The results of this study will provide a scientific basis for the ecological protection of the Ebinur Lake Basin.

Key words: normalized vegetation index (NDVI), vegetation change, geographic detector, Ebinur Lake Basin

REN Liqing. Spatiotemporal change and driving force of vegetation in Ebinur Lake Basin[J].Arid Land Geography, 2022, 45(2): 467-477.

Figures/Tables 14

Fig. 1

Fig. 2

Tab. 1

Tab. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Tab. 3

Tab. 4

Tab. 5

Tab. 6

Tab. 7

Tab. 8

References 28

[1]	张戈丽, 徐兴良, 周才平, 等. 近30年来呼伦贝尔地区草地植被变化对气候变化的响应[J]. 地理学报, 2011, 66(1):47-58.
	[ Zhang Geli, Xu Xingliang, Zhou Caiping, et al. Responses of vegetation changes to climatic variations in Hulun Buir grassland in past 30 years[J]. Acta Geographica Sinica, 2011, 66(1):47-58. ]
[2]	金凯, 王飞, 韩剑桥, 等. 1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J]. 地理学报, 2020, 75(5):961-974. doi: 10.11821/dlxb202005006
	[ Jin Kai, Wang Fei, Han Jianqiao, et al. Contribution of climatic change and human activities to vegetation NDVI change over China during 1982—2015[J]. Acta Geographica Sinica, 2020, 75(5):961-974. ] doi: 10.11821/dlxb202005006
[3]	刘春静, 张丽, 周宇, 等. 中国新疆及中亚五国干旱区草地覆盖度反演与分析[J]. 草业科学, 2016, 33(5):861-870.
	[ Liu Chunjing, Zhang Li, Zhou Yu, et al. Retrieval and analysis of grassland coverage in arid Xinjiang, China and five countries of Central Asia[J]. Pratacultural Science, 2016, 35(5):861-870. ]
[4]	刘宪锋, 任志远. 西北地区植被覆盖变化及其与气候因子的关系[J]. 中国农业科学, 2012, 45(10):1954-1963.
	[ Liu Xianfeng, Ren Zhiyuan. Vegetation coverage change and its relationship with climate factors in northwest China[J]. Scientia Agricultura Sinica, 2012, 45(10):1954-1963. ]
[5]	董璐, 赵杰, 刘雪佳, 等. 1982—2015年新疆地区植被生长对气温的响应[J]. 应用生态学报, 2019, 30(7):2165-2170.
	[ Dong Lu, Zhao Jie, Liu Xuejia, et al. Responses of vegetation growth to temperature during 1982—2015 in Xinjiang, China[J]. Chinese Journal of Applied Ecology, 2019, 30(7):2165-2170. ]
[6]	杜加强, 贾尔恒·阿哈提, 赵晨曦, 等. 1982—2012年新疆植被NDVI的动态变化及其对气候变化和人类活动的响应[J]. 应用生态学报, 2015, 26(12):3567-3578.
	[ Du Jiaqiang, Ahati Jiaerheng, Zhao Chenxi, et al. Dynamic changes in vegetation NDVI from 1982 to 2012 and its responses to climate change and human activities in Xinjiang, China[J]. Chinese Journal of Applied Ecology, 2015, 26(12):3567-3578. ]
[7]	孙天瑶, 李雪梅, 许民, 等. 2000—2018年塔里木河流域植被覆盖时空格局[J]. 干旱区地理, 2020, 43(2):415-424.
	[ Sun Tianyao, Li Xuemei, Xu Min, et al. Spatial-temporal variations of vegetation coverage in the Tarim River Basin from 2000 to 2018[J]. Arid Land Geography, 2020, 43(2):415-424. ]
[8]	庞冉, 王文. 基于MODIS数据的吐鲁番盆地2001—2017年植被变化及水热组合影响分析[J]. 干旱区地理, 2020, 43(5):1242-1252.
	[ Pang Ran, Wang Wen. Analysis of vegetation index changes and the influence of hydrothermal combination in the Turpan Basin from 2001 to 2017 based on MODIS data[J]. Arid Land Geography, 2020, 43(5):1242-1252. ]
[9]	孙红雨, 王长耀, 牛铮, 等. 中国地表植被覆盖变化及其与气候因子关系——基于NOAA时间序列数据分析[J]. 遥感学报, 1998, 2(3):204-210.
	[ Sun Hongyu, Wang Changyao, Niu Zheng, et al. Analysis of the vegetation cover change and the relationship between NDVI and environmental factors by using NOAA time series data[J]. Journal of Remote Sensing, 1998, 2(3):204-210. ]
[10]	刘军会, 高吉喜. 气候和土地利用变化对中国北方农牧交错带植被覆盖变化的影响[J]. 应用生态学报, 2008, 19(9):2016-2022.
	[ Liu Junhui, Gao Jixi. Effects of climate and land use change on the changes of vegetation coverage in farming-pastoral ecotone of northern China[J]. Chinese Journal of Applied Ecology, 2008, 19(9):2016-2022. ]
[11]	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
[12]	彭文甫, 张冬梅, 罗艳玫, 等. 自然因子对四川植被NDVI变化的地理探测[J]. 地理学报, 2019, 74(9):1758-1776. doi: 10.11821/dlxb201909005
	[ Peng Wenfu, Zhang Dongmei, Luo Yanmei, et al. Influence of natural factors on vegetation NDVI using geographical detection in Sichuan Province[J]. Acta Geographica Sinica, 2019, 74(9):1758-1776. ] doi: 10.11821/dlxb201909005
[13]	裴志林, 杨勤科, 王春梅, 等. 黄河上游植被覆盖度空间分布特征及其影响因素[J]. 干旱区研究, 2019, 36(3):546-555.
	[ Pei Zhilin, Yang Qinke, Wang Chunmei, et al. Spatial distribution characteristic and its influencing factors of the vegetation cover of the upper Yellow River based on the geographical detector[J]. Arid Zone Research, 2019, 36(3):546-555. ]
[14]	祝聪, 彭文甫, 张丽芳, 等. 2006—2016年岷江上游植被覆盖度时空变化及驱动力[J]. 生态学报, 2019, 39(5):1583-1594.
	[ Zhu Cong, Peng Wenfu, Zhang Lifang, et al. Study of temporal and spatial variation and driving force of fractional vegetation cover in upper reaches of Minjiang River from 2006 to 2016[J]. Acta Ecologica Sinica, 2019, 39(5):1583-1594. ]
[15]	陶帅, 邝婷婷, 彭文甫, 等. 2000—2015年长江上游NDVI时空变化及驱动力——以宜宾市为例[J]. 生态学报, 2020, 40(14):5029-5043.
	[ Tao Shuai, Kuang Tingting, Peng Wenfu, et al. Analyzing the spatio-temporal variation and driver of NDVI in upper reaches of the Yangtze River from 2000 to 2015: A case study of Yibin City[J]. Acta Ecologica Sinica, 2020, 40(14):5029-5043. ]
[16]	张翀, 白子怡, 李学梅, 等. 2001—2018年黄土高原植被覆盖人为影响时空演变及归因分析[J]. 干旱区地理, 2021, 44(1):188-196.
	[ Zhang Chong, Bai Ziyi, Li Xuemei, et al. Spatio-temporal evolution and attribution analysis of human effects of vegetation cover on the Loess Plateau from 2001 to 2018[J]. Arid Land Geography, 2021, 44(1):188-196. ]
[17]	李艳红, 姜黎, 佟林. 新疆艾比湖流域生态环境空间分异特征研究[J]. 干旱区资源与环境, 2007, 21(11):59-62.
	[ Li Yanhong, Jiang Li, Tong Lin. Study on spatial differentiation of ecological environment in Ebinur Lake Basin of Xinjiang[J]. Journal of Arid Land Resources and Environment, 2007, 21(11):59-62. ]
[18]	王二丽, 周军其. 1998—2012年艾比湖流域NDVI变化及其气候因子驱动分析[J]. 应用科学学报, 2015, 33(1):59-69.
	[ Wang Erli, Zhou Junqi. Analysis of NDVI changes and its climate factor drivers in Ebinur Lake Basin from 1998 to 2012[J]. Journal of Applied Sciences, 2015, 33(1):59-69. ]
[19]	姜红涛, 塔西甫拉提·特依拜, 阿尔达克·克里木, 等. 艾比湖流域NDVI变化及其与降水、温度的关系[J]. 中国沙漠, 2014, 34(6):1678-1684.
	[ Jiang Hongtao, Tiyip Tashpolat, Kelimu Ardak, et al. Responses of NDVI to the variation of precipitation and temperature in the Ebinur Lake Basin[J]. Journal of Desert Research, 2014, 34(6):1678-1684. ]
[20]	孙倩, 张敏, 曾永兵, 等. 艾比湖流域降水和风速对植被NDVI时空变化的影响[J]. 西南农业学报, 2018, 31(11):2407-2412.
	[ Sun Qian, Zhang Min, Zeng Yongbing, et al. Effect of precipitation and wind speed on NDVI in Aibi Lake[J]. Southwest China Journal of Agricultural Sciences, 2018, 31(11):2407-2412. ]
[21]	邓煜霖, 塔西甫拉提·特依拜, 姜红涛, 等. 艾比湖流域NDVI垂直梯度变化特征[J]. 中国沙漠, 2015, 35(2):508-513.
	[ Deng Yulin, Tiyip Tashpolat, Jiang Hongtao, et al. NDVI at a vertical gradient in the Ebinur Lake Basin, Xinjiang, China[J]. Journal of Desert Research, 2015, 35(2):508-513. ]
[22]	唐梦迎, 丁建丽, 夏楠, 等. 博尔塔拉蒙古自治州植被覆盖度估算[J]. 测绘科学, 2019, 44(7):74-81.
	[ Tang Mengying, Ding Jianli, Xia Nan, et al. Estimation of vegetation cover in the Boertala Mongolian Autonomy Prefecture based on NDVI-DFI model[J]. Science of Surveying and Mapping, 2019, 44(7):74-81. ]
[23]	王瑾杰, 丁建丽, 张喆. 2008—2014年新疆艾比湖流域土壤水分时空分布特征[J]. 生态学报, 2019, 39(5):1784-1794.
	[ Wang Jinjie, Ding Jianli, Zhang Zhe. Temporal-spatial dynamic change characteristics of soil moisture in Ebinur Lake Basin from 2008—2014[J]. Acta Ecologica Sinica, 2019, 39(5):1784-1794. ]
[24]	延琪瑶, 王力, 张芸, 等. 新疆艾比湖小叶桦湿地3900年以来的植被及环境演变[J]. 应用生态学报, 2021, 32(2):486-494.
	[ Yan Qiyao, Wang Li, Zhang Yun, et al. Changes in vegetation and environment in the Betula microphylla wetland of Ebinur Lake in Xinjiang, China since 3900 cal. aBP[J]. Chinese Journal of Applied Ecology, 2021, 32(2):486-494. ]
[25]	彭文甫, 王广杰, 周介铭, 等. 基于多时相Landsat5/8影像的岷江汶川—都江堰段植被覆盖动态监测[J]. 生态学报, 2016, 36(7):1975-1988.
	[ Peng Wenfu, Wang Guangjie, Zhou Jieming, et al. Dynamic monitoring of fractional vegetation cover along Minjiang River from Wenchuan County to Dujiangyan City using multi-temporal landsat 5 and 8 images[J]. Acta Ecologica Sinica, 2016, 36(7):1975-1988. ]
[26]	陈燕丽, 龙步菊, 潘学标, 等. MODIS NDVI和AVHRR NDVI对草原植被变化监测差异[J]. 遥感学报, 2011, 15(4):831-845.
	[ Chen Yanli, Long Buju, Pan Xuebiao, et al. Differences between MODIS NDVI and AVHRR NDVI in monitoring grasslands change[J]. Journal of Remote Sensing, 2011, 15(4):831-845. ]
[27]	刘宪锋, 朱秀芳, 潘耀忠, 等. 1982—2012年中国植被覆盖时空变化特征[J]. 生态学报, 2015, 35(16):5331-5342.
	[ Liu Xianfeng, Zhu Xiufang, Pan Yaozhong, et al. Spatiotemporal changes in vegetation coverage in China during 1982—2012[J]. Acta Ecologica Sinica, 2015, 35(16):5331-5342. ]
[28]	刘彦随, 李进涛. 中国县域农村贫困化分异机制的地理探测与优化决策[J]. 地理学报, 2017, 72(1):161-173. doi: 10.11821/dlxb201701013
	[ Liu Yansui, Li Jintao. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China[J]. Acta Geographica Sinica, 2017, 72(1):161-173. ] doi: 10.11821/dlxb201701013

因子类型	探测因子	指标
地形	X1	坡度/(°)
	X2	坡向/(°)
	X3	高程/m
土壤	X4	土壤类型
植被	X5	植被类型
地貌	X6	地貌类型
气候	X7	年均气温/℃
	X8	年降水量/mm
人类活动	X9	土地利用类型

依据	交互作用
q（X1∩X2）<Min[q（X1）,q（X2）]	非线性减弱
Min[q（X1）,q（X2）]<q（X1∩X2）<Max[q（X1）,q（X2）]	单因子非线性减弱
q（X1∩X2）>Max[q（X1）,q（X2）]	相互增强
q（X1∩X2）=q（X1）+q（X2）	独立
q（X1∩X2）>q（X1）+q（X2）	非线性增强

因子	坡度	坡向	高程	土壤类型	植被类型	地貌类型	年均气温	年降水量	土地利用类型
坡度	0.03
坡向	0.09+	0.01
高程	0.21+	0.25+	0.14
土壤类型	0.34+	0.40+	0.42+	0.27
植被类型	0.38+	0.39+	0.46++	0.47++	0.34
地貌类型	0.11+	0.13+	0.22+	0.33++	0.41++	0.08
年均气温	0.21+	0.20+	0.35+	0.48+	0.47+	0.24+	0.08
年降水量	0.25+	0.23+	0.38+	0.51+	0.47+	0.27+	0.11++	0.09
土地利用类型	0.52+	0.50+	0.64+	0.61++	0.58++	0.55+	0.56+	0.55+	0.46

因子	坡度	坡向	高程	土壤类型	植被类型	地貌类型	年均气温	年降水量
坡度
坡向	N
高程	Y	Y
土壤类型	Y	Y	Y
植被类型	Y	Y	Y	N
地貌类型	N	N	N	Y	Y
年均气温	N	N	N	Y	Y	N
年降水量	N	N	N	Y	Y	N	N
土地利用类型	Y	Y	Y	Y	Y	Y	Y	Y

因子	植被NDVI适应范围（类别）	植被NDVI均值
坡度	25°~35°	0.500
坡向	157.5°~202.5°	0.439
高程	2177~2558 m	0.572
土壤类型	人为土	0.759
植被类型	栽培植被	0.714
地貌类型	中起伏山地	0.459
年均气温	4.74~5.25 ℃	0.500
年降水量	228~245 mm	0.661
土地利用类型	耕地	0.725

Spatiotemporal change and driving force of vegetation in Ebinur Lake Basin

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 28

Related Articles 15

Metrics

Comments

Recommended 0

土地利用类型	耕地	林地	草地	水域	城乡工矿居民用地	未利用土地
耕地
林地	N
草地	Y	Y
水域	Y	Y	Y
城乡工矿居民用地	N	N	N	N
未利用土地	Y	Y	Y	N	N
植被NDVI均值	0.73	0.66	0.42	0.25	0.54	0.21

植被类型	其他	针叶林	灌丛	荒漠	草原	草甸	高山植被	栽培植被
其他
针叶林	Y
灌丛	Y	N
荒漠	N	Y	Y
草原	Y	Y	Y	Y
草甸	Y	Y	Y	Y	Y
高山植被	N	Y	Y	Y	Y	Y
栽培植被	Y	Y	N	Y	Y	Y	Y
植被NDVI均值	0.27	0.59	0.69	0.29	0.39	0.50	0.19	0.71

土壤类型	半淋溶土	钙层土	干旱土	漠土	初育土	半水成土	水成土	盐碱土	人为土	高山土	湖泊水库	冰川雪被
半淋溶土
钙层土	Y
干旱土	Y	Y
漠土	Y	N	Y
初育土	Y	Y	Y	Y
半水成土	N	Y	Y	Y	Y
水成土	N	N	N	N	Y	N
盐碱土	Y	N	N	N	Y	Y	N
人为土	Y	Y	Y	Y	Y	N	Y	Y
高山土	Y	Y	Y	N	Y	Y	N	N	Y
湖泊水库	Y	Y	N	Y	N	Y	N	N	Y	Y
冰川雪被	Y	Y	Y	Y	N	Y	Y	Y	Y	Y	N
植被NDVI均值	0.63	0.41	0.29	0.43	0.15	0.68	0.47	0.38	0.76	0.46	0.26	0.16

[1]	HUANG Yunbo, ZHANG Chong, WANG Yudan. Change trend of vegetation cover and its response to soil moisture status in Weihe River Basin [J]. Arid Land Geography, 2024, 47(5): 841-849.
[2]	LI Junjia, ZHAO Meifeng. Spatial evolution and influencing mechanism of high-quality development in ethnic minority areas of China [J]. Arid Land Geography, 2024, 47(3): 496-505.
[3]	MU Shilei, YANG Yuhuan, Wuritaoketaohu . Spatial differentiation pattern and influencing factors of national desert (rocky desert) parks [J]. Arid Land Geography, 2024, 47(2): 356-368.
[4]	LI Jianhui, CHEN Lin, DANG Zheng. Spatial pattern and influencing factors of patriotic education bases in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(9): 1536-1544.
[5]	ZHANG Hao, HAN Zenglin, QIAO Guorong, WANG Hui, WANG Hongye, DUAN Ye. Patterns and influencing factors of tourism economic linkages between cities in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(8): 1344-1354.
[6]	KANG Ligang, CAO Shengkui, CAO Guangchao, YAN Li, CHEN Lianxuan, LI Wenbin, ZHAO Haoran. Spatiotemporal variation of land surface temperature in Qinghai Lake Basin [J]. Arid Land Geography, 2023, 46(7): 1084-1097.
[7]	ZHU Lei, LI Yannan, HU Jing, TIAN Xiaobo, XU Jiahui, QING Qi. Multi-scale characteristics and influencing mechanism of spatial pattern on research and practice bases in China [J]. Arid Land Geography, 2023, 46(4): 625-635.
[8]	CHENG Jing,WANG Peng,CHEN Hongxiang,HAN Yonggui. Spatiotemporal evolution of habitat quality in the Weihe River Basin and its topographic gradient effects and influencing factors [J]. Arid Land Geography, 2023, 46(3): 481-491.
[9]	LIU Jingming, DING Jianli, BAO Qingling, ZHANG Zipeng, JIANG Leipeng, QU Yi. Characteristics of groundwater in Ebinur Lake Basin using isotopes method [J]. Arid Land Geography, 2023, 46(2): 201-210.
[10]	LU Chenyu,HUANG Ping,ZHANG Tong,LIU Xiaowan,CHENG Wei. Spatiotemporal evolution and driving factors of the green development efficiency in Gansu Province [J]. Arid Land Geography, 2023, 46(2): 305-315.
[11]	YANG Yang, QIAO Jiajun, WANG Wei, ZHANG Ershen. Impact of poverty alleviation resource allocation on income of rural low-income farmer households: A case of 18 villages in Qinghai Province [J]. Arid Land Geography, 2023, 46(2): 325-336.
[12]	MA Xiaomin, ZHANG Zhibin, GUO Qianqian, WU Zhixiang, FENG Xueli. Spatial distribution, type structure and influencing factors of popular science education bases in China [J]. Arid Land Geography, 2023, 46(11): 1879-1890.
[13]	CHENG Jing,WANG Peng,CHEN Hongxiang,HAN Yonggui. Geographical exploration of the spatial and temporal evolution of ecological risk and its influencing factors in semi-arid regions: A case of Yanchi County in Ningxia [J]. Arid Land Geography, 2022, 45(5): 1637-1648.
[14]	HE Junqi,WEI Yan,GAO Wande,CHEN Yunfei,MA Yandong,LIU Xiuhua. Temporal and spatial variation of vegetation NDVI and its response to climatic factors in the southeastern margin of Mu Us Sandy Land [J]. Arid Land Geography, 2022, 45(5): 1523-1533.
[15]	LI Shiyao,CONG Shixiang,WANG Rongrong,YU Hailong,HUANG Juying. Effects of climate change and human activities on net primary productivity of vegetation in Yanchi County [J]. Arid Land Geography, 2022, 45(4): 1186-1199.