2000—2018年黄土高原植被覆盖时空变化及影响因素

doi:10.16843/j.sswc.2021.04.007

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Abstract [Background] The Loess Plateau is located in a semi-arid and semi-humid climate zone with serious soil erosion. It is an ecologically fragile area and a key area of soil and water conservation in China. Since the implementation of the project of Returning Farmland to Forest in 1999, the vegetation coverage of the area has increased significantly. Yan'an city and Wuqi county are the typical areas that have taken the lead in implementing the project of Returning Farmland to Forest.[Methods] Based on MODIS-NDVI data, the vegetation coverage in the growing season of the Loess Plateau from 2000 to 2018 was estimated using the image element dichotomy method. The spatial and temporal characteristics of vegetation cover and its correlation with climatic factors were studied by trend analysis, partial correlation analysis and significance test. The influence of human activities on the trend of vegetation cover change was explored by excluding the influence of climatic factors on vegetation cover through residual analysis.[Results] 1) From 2000 to 2018, the vegetation coverage in the growing season of the Loess Plateau showed a fluctuating upward trend with an overall growth rate of 0.004 62/a, and the spatial distribution of vegetation coverage decreased from southeast to northwest. 2) In the time series, the vegetation coverage in the Loess Plateau was significantly positively correlated with the annual precipitation (P<0.05), and 30% of the region showed a significant positive, but the correlation with the annual average temperature was not significant and the correlation coefficient was low. 3)Yan'an city and Wuqi county, as typical areas of Returning Farmland to Forest, were generally better than the Loess Plateau, the average growth rates in recent 20 years was in Wuqi>Yan'an>Loess Plateau, with significant increase in vegetation cover and significant ecological construction effects. 4) The vegetation cover in the Yan'an and Wuqi counties were positively correlated with annual precipitation, while negatively correlated with annual average temperature. The correlation coefficient between county's vegetation coverage and climate factors was higher, but it did not pass the statistical significance test. 5) Human activities have had a large impact on the Loess Plateau, with a significant positive impact on northern Yan'an and its surrounding areas. The project of Returning Farmland to Forest has achieved remarkable results in this area.[Conclusions] In the context of Returning Farmland to Forest project, the Loess Plateau has experienced significant vegetation recovery in the past 20 years. Compared with temperature, the correlation between precipitation and vegetation coverage is more significant. Human activities have both constructive and destructive effects on vegetation cover change in the Loess Plateau, but the positive effect is greater than the negative effect.

Key words： NDVI climate factors trend analysis human activities the Loess Plateau

Received: 12 October 2020

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	LI Yixuan
	ZHU Qingke
	SHI Ruoying
	GOU Qingping

Cite this article:

LI Yixuan,ZHU Qingke,SHI Ruoying, et al. Spatial and temporal changes of vegetation cover and its influencing factors in the Loess Plateau from 2000 to 2018[J]. SSWC, 2021, 19(4): 60-68.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2021.04.007 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2021/V19/I4/60

[1]	FU Bbjie, HU Chenxia, CHEN Liding, et al. Evaluating change in agricultural landscape pattern between 1980 and 2000 in the loess hilly region of Ansai county, China[J]. Agriculture, Ecosystems and Environment, 2005, 114(2):387.
[2]	ZHAGN Xiaoping, ZHANG Lu, ZHAO Jing, et al. Responses of streamflow to changes in climate and land use/cover in the Loess Plateau, China[J]. Water Resources Research, 2008, 44(7):423.
[3]	BAUDENA M, D'ANDREA F, PROVENZALE A. A model for soil-vegetation-atmosphere interactions in waterlimited ecosystems[J]. Water Resources Research, 2008, 44(12):429.
[4]	张含玉,方怒放,史志华. 黄土高原植被覆盖时空变化及其对气候因子的响应[J]. 生态学报,2016, 36(13):3960. ZHANG Hanyu, FANG Nvfang, SHI Zhihua. Spatio-temporal patterns for the NDVI and its responses to climatic factors in the Loess Plateau, China[J].Acta Ecologica Sinica,2016,36(13):3960.
[5]	信忠保,许炯心,郑伟. 气候变化和人类活动对黄土高原植被覆盖变化的影响[J]. 中国科学(D辑:地球科学),2007,37(11):1504. XIN Zhongbao, XU Jiongxin, ZHENG Wei. Impacts of climate change and human activities on vegetation cover change in the Loess Plateau[J].Science in China (Series D:Earth Sciences), 2007, 37(11):1504.
[6]	程红芳,章文波,陈锋. 植被覆盖度遥感估算方法研究进展[J]. 国土资源遥感,2008(1):13. CHENG Hongfang, ZHANG Wenbo, CHEN Feng. Advances in researches on application of remote sensing method to estimating vegetation coverage[J]. Remote Sensing for Land & Resources, 2008(1):13.
[7]	PETTORELLI N, VIK J O, MYSTERUD A, et al. Using the satellite-derived NDVI to assess ecological responses to environmental change[J]. Trends in Ecology & Evolution, 2005, 20(9):503.
[8]	张宝庆,吴普特,赵西宁. 近30a黄土高原植被覆盖时空演变监测与分析[J]. 农业工程学报, 2011, 27(4):287. ZHANG Baoqing, WU Pute, ZHAO Xining. Detecting and analysis of spatial and temporal variation of vegetation cover in the Loess Plateau during 1982-2009[J].Transactions of the CSAE,2011,27(4):287.
[9]	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. 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.
[10]	刘静,温仲明,刚成诚. 黄土高原不同植被覆被类型NDVI对气候变化的响应[J]. 生态学报,2020,40(2):678. LIU Jing, WEN Zhongming, GANG Chengcheng. Normalized difference vegetation index of different vegetation cover types and its responses to climate change in the Loess Plateau[J]. Acta Ecologica Sinica. 2020, 40(2):678.
[11]	李双双,延军平,万佳. 近10年陕甘宁黄土高原区植被覆盖时空变化特征[J]. 地理学报,2012,67(7):960. LI Shuangshuang, YAN Junping, WAN Jia. The spatial-temporal changes of vegetation restoration on Loess Plateau in Shaanxi-Gansu-Ningxia region[J]. Acta Geographica Sinica, 2012, 67(7):960.
[12]	郭永强,王乃江,褚晓升,等. 基于Google Earth Engine分析黄土高原植被覆盖变化及原因[J]. 中国环境科学,2019,39(11):4804. GUO Yongqiang, WANG Naijiang, CHU Xiaosheng, et al. Analyzing vegetation coverage changes and its reasons on the Loess Plateau based on Google Earth Engine[J]. China Environmental Science, 2019, 39(11):4804.
[13]	肖强,陶建平,肖洋. 黄土高原近10年植被覆盖的动态变化及驱动力[J]. 生态学报,2016,36(23):7594. XIAO Qiang, TAO Jianping, XIAO Yang.Dynamic vegetation cover change over the past 10 years on the Loess Plateau,China[J].Acta Ecologica Sinica, 2016, 36(23):7594.
[14]	刘旻霞,赵瑞东,邵鹏,等. 近15 a黄土高原植被覆盖时空变化及驱动力分析[J]. 干旱区地理,2018,41(1):99. LIU Minxia, ZHAO Ruidong, SHAO Peng, et al.Temporal and spatial variation of vegetation coverage and its driving forces in the Loess Plateau from 2001 to 2015[J]. Arid Land Geography, 2018, 41(1):99.
[15]	赵安周,刘宪锋,朱秀芳,等. 2000-2014年黄土高原植被覆盖时空变化特征及其归因[J]. 中国环境科学,2016, 36(5):1568. ZHAO Anzhou, LIU Xianfeng, ZHU Xiufang, et al. Spatiotemporal analyses and associated driving forces of vegetation coverage change in the Loess Plateau[J]. China Environmental Science, 2016, 36(5):1568.
[16]	张琨,吕一河,傅伯杰,等. 黄土高原植被覆盖变化对生态系统服务影响及其阈值[J]. 地理学报,2020,75(5):949. ZHANG Kun, LU Yihe, FU Bojie, et al. The effects of vegetation coverage changes on ecosystem service and their threshold in the Loess Plateau[J]. Acta Geographica Sinica, 2020, 75(5):949.
[17]	朱会利,杨改河,韩磊. 延安市退耕过程植被覆盖度变化及其影响因子分析[J]. 农业机械学报,2015,46(8):272. ZHU Huili, YANG Gaihe, HAN Lei. Analysis of fractional vegetation coverage changes and its influence factors during farmland returned to forest period in Yan'an city[J]. Transactions of the CSAM, 2015, 46(8):272.
[18]	李登科. 陕北吴起县退耕还林(草)成效的遥感监测分析[J]. 中国沙漠,2009,29(1):125. LI Dengke, Remote sensing analysis on effect of tillage reverting to woodland or grassland in Wuqi Shaanxi province[J]. Journal of Desert Research, 2009, 29(1):125.
[19]	李登科,王钊. 退耕还林后陕西省植被覆盖度变化及其对气候的响应[J]. 生态学杂志,2020,39(1):1. LI Dengke, WANG Zhao. Changes of fractional vegetation coverage after returning farmland to forests and its response to climate in Shaanxi[J]. Chinese Journal of Ecology, 2020, 39(1):1.
[20]	罗舒元,朱清科,辛云玲,等. 陕北吴起县植被覆盖度时空特征及其影响机制[J]. 中国水土保持科学, 2020,18(3):146. LUO Shuyuan, ZHU Qingke, XIN Yunling, et al. Spatio-temporal characteristics of vegetation coverage and its influencing mechanism in Wuqi county, northern Shaanxi province[J]. Science of Soil and Water Conservation, 2020, 18(3):146.
[21]	中华人民共和国水利部. SL190-2007土壤侵蚀分类分级标准[S]. 北京:中国水利水电出版社,2008. Ministry of Water Resources the People's Republic of China. SL190-2007 Standards for classification and gradation of soil erosion[S]. Beijing:China Water & Power Press, 2008.
[22]	WANG Fang,GE Quansheng,WANG Shaowu,et al. A new estimation of urbanization's contribution to the warming trend in China[J]. Journal of Climate, 2015, 28(22):8923.
[23]	阿多,赵文吉,宫兆宁,等. 1981-2013华北平原气候时空变化及其对植被覆盖度的影响[J].生态学报,2017,37(2):576. A Duo, ZHAO Wenji, GONG Zhaoning. Temporal analysis of climate change and its relationship with vegetation cover on the north china plain from 1981 to 2013[J]. Acta Ecologica Sinica, 2017,37(2):576.
[24]	李辉霞,刘国华,傅伯杰.基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J].生态学报,2011,31(19):5495. LI Huixia, LIU Guohua, FU Bojie. Response of vegetation to climate change and human activity based on NDVI in the Three-River Headwaters region[J]. Acta Ecologica Sinica, 2011,31(19):5495.
[25]	EVANS J, GEERKEN R. Discrimination between climate and human-induced dryland degradation[J]. Journal of Arid Environments,2004,57(4):535.
[26]	易浪,任志远,张翀,等. 黄土高原植被覆盖变化与气候和人类活动的关系[J]. 资源科学,2014,36(1):166. YI Lang, REN Zhiyuan, ZHANG Chong, et al. Vegetation cover, climate and human activities on the Loess Plateau[J]. Resources Science, 2014, 36(1):166.
[27]	孙锐,陈少辉,苏红波. 2000-2016年黄土高原不同土地覆盖类型植被NDVI时空变化[J]. 地理科学进展,2019,38(8):1248. SUN Rui, CHEN Shaohui, SU Hongbo. Spatiotemporal variations of NDVI of different land cover types on the Loess Plateau from 2000 to 2016[J]. Progress in Geography, 2019, 38(8):1248.