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[1]MIAO Xu,LI Jiuyi,SONG Xiaoyan,et al.Analysis on Change Pattern and Attribution of Vegetation NDVI in Ordos City from 2000 to 2020[J].Research of Soil and Water Conservation,2022,29(03):300-307.

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Analysis on Change Pattern and Attribution of Vegetation NDVI in Ordos City from 2000 to 2020

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 03 Page number: 300-307 Column: Public date: 2022-04-20

Title:: Analysis on Change Pattern and Attribution of Vegetation NDVI in Ordos City from 2000 to 2020

Author(s):: MIAO Xu¹, LI Jiuyi², SONG Xiaoyan¹, CHENG Duliang¹, LIU Yumei³; (1.Northwest A&F University, Yangling, Shaanxi 712100, China; 2.Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China; 3.School of Geography Science and Geomatics Engineering, SUST, Suzhou,Jiangsu 215009, China)

Keywords:: vegetation NDVI; climate; human activities; Ordos City

CLC:: Q948.1

DOI:: -

Abstract:: The ecological system of Ordos City, located in agro-pastoral ecotone, is more sensitive. In order to explore the impact of global climate changes and the human activities on the ecosystem of Ordos City, we used MOD13Q1 NDVI, meteorological data, the partial correlation analysis and residual driving force analysis methods to analyze the change characteristics and driving force for vegetation NDVI of Ordos City from 2000 to 2020. The results show that:(1)the vegetation NDVI of Ordos City had shown an overall upward trend in the past 21 years, and the vegetation had improved significantly; the vegetation NDVI of 68.66% of the city had been improved, and the improvement rate of vegetation in the southwest was smaller than that in the northeast;(2)there were obvious regional differences in the partial correlation between vegetation NDVI and climatic factors in Ordos City; the partial correlation between vegetation NDVI and precipitation was relatively high, and the area affected by precipitation and temperature together accounted for about 2.27% of the total area;(3)the vegetation of Ordos City was affected by both human activities and climate change; in the past 21 years, human activities played a leading role in the change of vegetation NDVI in Ordos City with an average contribution rate of 82.67%; the main influence of climate change on the growth of vegetation NDVI was the precipitation; the impact of humans on the vegetation of Ordos City had two sides; urban construction restrict the growth of vegetation, and the implementation of ecological projects was conducive to the growth of vegetation;(4)from 2000 to 2020, the increase of vegetation coverage represented by NDVI in Ordos City was inseparable from human activities, but at the same time, the climatic conditions in the Ordos region had a great restrictive effect on the growth of vegetation; when implementing ecological projects, we must pay attention to the impact of climate change, and must not blindly expand ecological projects; the vegetation in areas such as the Mu Us desert needs to be artificially protected to form a stable ecosystem.

References:: [1] 仝莉棉,曾彪,王鑫.山西省不同生态区NDVI时空变化及其影响因素[J].水土保持研究,2016,23(3):71-76.
[2] Wang J, Meng J J, Cai Y L. Assessing vegetation dynamics impacted by climate change in the southwestern karst region of China with AVHRR NDVI and AVHRR NPP time-series[J]. Environmental Geology, 2008,54(6):1185-1195.
[3] 李鸣蝉.2000—2017年澜沧江—湄公河流域植被NDVI指数与降水的关系研究[D].昆明:云南师范大学,2019.
[4] 谢宝妮.黄土高原近30年植被覆盖变化及其对气候变化的响应[D].陕西杨凌:西北农林科技大学,2016.
[5] 陈效逑,王恒.1982—2003年内蒙古植被带和植被覆盖度的时空变化[J].地理学报,2009,64(1):84-94.
[6] 穆少杰,李建龙,陈奕兆,等.2001—2010年内蒙古植被覆盖度时空变化特征[J].地理学报,2012,67(9):1255-1268.
[7] 方修琦,余卫红.物候对全球变暖响应的研究综述[J].地球科学进展,2002,17(5):714-719.
[8] 杨艳林.基于遥感技术的香格里拉草地退化研究[D].昆明:云南师范大学,2019.
[9] 张庆斌.2000—2017年湖南省NDVI的时空变化及驱动力定量分析[D].长沙:中南林业科技大学,2020.
[10] Ichii K, Kawabata A, Yamaguchi Y. Global correlation analysis for NDVI and climatic variables and NDVI trends:1982—1990[J]. International Journal of Remote Sensing, 2002,23(18):3873-3878.
[11] 李晓兵,史培军.中国典型植被类型NDVI动态变化与气湿,降水变化的敏感性分析[J].植物生态学报,2000,24(3):379-382.
[12] 孟晗,黄远程,史晓亮.黄土高原地区2001—2015年植被覆盖变化及气候影响因子[J].西北林学院学报,2019,34(1):211-217.
[13] 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.
[14] 刘梁美子,占车生,胡实,等.黔桂喀斯特山区年NDVI变化的影响因素研究[J].地理科学进展,2019,38(11):1783-1792.
[15] 马明国,王建,王雪梅.基于遥感的植被年际变化及其与气候关系研究进展[J].遥感学报,2006,10(3):421-431.
[16] 陈宽,柴洋洋,李科,等.资源型城市人口、GDP时空变化对土地利用/覆盖的影响:以内蒙古鄂尔多斯市为例[J].资源开发与市场,2020,36(11):1197-1206.
[17] 黄永梅,张明理.鄂尔多斯高原植物群落多样性时空变化特点[J].生物多样性,2006,14(1):13-20.
[18] 王瑾.内蒙古自治区植被覆盖度变化的驱动因素与气候因子响应[D].江苏徐州:中国矿业大学,2020.
[19] 严恩萍,林辉,党永峰,等.2000—2012年京津风沙源治理区植被覆盖时空演变特征[J].生态学报,2014,34(17):5007-5020.
[20] 李光强,曾绍琴,邓敏,等.重心转移曲线在时空演化模式表达中的应用[J].武汉大学学报:信息科学版,2013,38(8):940-944.
[21] 武正丽.2000—2012年祁连山植被覆盖变化及其对气候的响应研究[D].兰州:西北师范大学,2014.
[22] 方健梅,马国青,余新晓,等.青海湖流域NDVI时空变化特征及其与气候之间的关系[J].水土保持学报,2020,34(3):105-112.
[23] 李应鑫,李石华,彭双云.云南省九大高原湖泊流域NDVI时空演变及其与气候的响应关系[J].水土保持研究,2020,27(4):192-200.
[24] Sun Y, Yang Y, Zhang L, et al. The relative roles of climate variations and human activities in vegetation change in North China[J]. Physics and Chemistry of the Earth, Parts A/B/C,2015,87:67-78.
[25] 孙建国,张卓,韩惠,等.气候和人类因素在黄土高原西北部植被变化中的贡献率研究[J].遥感信息,2014,29(2):83-88.
[26] 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):5495-5504.

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Last Update: 2022-04-20