NDVI Variations and Its Response to Extreme Climate in Xinjiang Uygur Autonomous Region During 2001-2017

Zhang Jinxia; Xuchang Chun; Yang Qiuping

doi:10.13961/j.cnki.stbctb.2020.05.036

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NDVI Variations and Its Response to Extreme Climate in Xinjiang Uygur Autonomous Region During 2001-2017

- NDVI Variations and Its Response to Extreme Climate in Xinjiang Uygur Autonomous Region During 2001-2017
- Bulletin of Soiland Water Conservation Vol. 40, Issue 5, Pages: 250-256(2020)
- 作者机构：
  
  1. 新疆大学资源与环境科学学院,新疆,乌鲁木齐,830046
  2. 新疆大学绿洲生态教育部重点实验室,新疆,乌鲁木齐,830046
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2020.05.036
  CLC： Q948.1
- Published：2020
- 稿件说明：
移动端阅览
Zhang Jinxia, Xuchang Chun, Yang Qiuping. NDVI Variations and Its Response to Extreme Climate in Xinjiang Uygur Autonomous Region During 2001-2017[J]. Bulletin of Soiland Water Conservation, 2020, 40(5): 250-256.
DOI：

Zhang Jinxia, Xuchang Chun, Yang Qiuping. NDVI Variations and Its Response to Extreme Climate in Xinjiang Uygur Autonomous Region During 2001-2017[J]. Bulletin of Soiland Water Conservation, 2020, 40(5): 250-256. DOI： 10.13961/j.cnki.stbctb.2020.05.036.

摘要

[目的

]

研究新疆2001—2017年植被覆盖变化，并分析其与气候指数之间的响应特征，以期为该地区生态环境保护和区域可持续发展提供理论依据。[方法

]

基于2001—2017年的MOD

NDVI数据，采用最大合成法、Savitzky-Golay（SG）滤波法和相关分析等方法，并结合同期气温和降水数据，分析新疆生长季归一化植被指数（NDVI）和极端气候之间的响应关系。[结果

]

①2001—2017年，新疆地区植被覆盖普遍不高，自2009年开始表现出缓慢改善趋势，且未来一段时间内，该趋势具有一定的持续性；②NDVI总体上呈西北向东南降低趋势，天山山脉和伊犁河谷地区是NDVI高值区，北疆各子区域生长季NDVI普遍高于南疆地区；③NDVI在北疆中部和南疆西南部等地区与极端气温指数多呈负相关，日平均温差（DTR）和冷夜日数（TN

10p

）是主要的影响指数；NDVI与平均气温指数在沙漠地区多呈负相关，在部分山区呈正相关，这主要与年平均气温（T

）的变化有关；④NDVI与降水指数之间多呈正相关，且单日最大降水量（RX

1 d

），连续5日最大降水量（RX

5 d

）和年降水量（TP

）对NDVI的影响都很显著。[结论

]

新疆植被覆盖总体向良好方向发展。NDVI对降水指数的响应高于气温指数，其中，降水指数以正向影响为主，气温指数则以负向影响为主，降水对新疆植被改善有着明显的促进作用。

Abstract

[Objective] The vegetation cover in Xinjiang Uygur Autonomous Region from 2001 to 2017 and its response to the extreme climate index were analyzed in order to provide a theoretical basis for the ecological-environmental protection and sustainable development of the region.[Methods] Data of the MOD13Q1 normalized difference vegetation index (NDVI)

temperature

and precipitation during the period from 2001 to 2017 were used along with the maximum synthesis method

Savitzky-Golay (SG) filtering method

and a correlation analysis to investigate the relationship between the NDVI and the extreme climate index during the growing season.[Results] ① The vegetation cover in Xinjiang was not high overall from 2001 to 2017

with a slowly improving trend since 2009

which is likely to continue in the future. ② In general

the NDVI decreased from northwest to the southeast. The Tianshan Mountains and Ili River valley were the areas with the highest values

and the NDVI in the sub-regions of Northern Xinjiang was generally higher than that of the Southern Xinjiang. ③ The NDVI was negatively correlated with the extreme temperature index in the central part of Northern Xinjiang and the southwest part of Southern Xinjiang. The diurnal temperature range (DTR) and number of cool nights (TN10p) were the main influencing indices. The NDVI was negatively correlated with the average temperature index in desert areas

whereas it was positively correlated in some mountainous areas

which was mainly due to the variation of the annual average temperature (Ty). ④ The NDVI was positively correlated with the precipitation index. The maximum 1-day precipitation amount (RX1 d)

maximum 5-day precipitation amount (RX5 d)

and annual precipitation (TPy) were the main contributors.[Conclusion] The vegetation coverage in Xinjiang is developing in a positive direction. The response of the NDVI to the precipitation index was higher than its response to the temperature index. The precipitation index mainly exhibited a positive influence

while the temperature index had a negative influence. Precipitation had an obvious promoting effect on the improvement of vegetation in Xinjiang.

关键词

Keywords

references

姜汉侨,段昌群,杨树华,等.植物生态学[M].2版.北京:高等教育出版社,2010:11-17.

杜怀玉,赵军,师银芳,等.气候变化下中国潜在植被演替及其敏感性[J].生态学杂志,2018,37(5):1459-1466.

白文龙,张福平,倪海燕,等.关中地区植被覆盖变化及其对气候因子的响应研究[J].农业现代化研究,2013,34(1):104-108.

Stocker T. Climate Change 2013:The Physical Science Basis. Contribution of Working Group Ⅰ to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change[M]. Cambridge:Cambridge University Press, 2014:134-136.

王晓利,侯西勇.1982-2014年中国沿海地区归一化植被指数(NDVI)变化及其对极端气候的响应[J].地理研究,2019,38(4):807-821.

Zhong Lei, Ma Yaoming, Salama M S, et al. Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau[J]. Climatic Change, 2010,103(3/4):519-535.

何宝忠,丁建丽,李焕,等.新疆植被物候时空变化特征[J].生态学报,2018,38(6):2139-2155.

胡汝骥,姜逢清,王亚俊,等.新疆气候由暖干向暖湿转变的信号及影响[J].干旱区地理,2002,25(3):194-200.

孙晓鹏,王天明,寇晓军,等.黄土高原泾河流域长时间序列的归一化植被指数动态变化及其驱动因素分析[J].植物生态学报,2012,36(6):511-521.

张佳华,王长耀.区域归一化植被指数(NDVI)对植被光合作用响应的研究[J].干旱区资源与环境,2003,17(1):91-95.

包刚,包玉海,覃志豪,等.近10年蒙古高原植被覆盖变化及其对气候的季节响应[J].地理科学,2013,33(5):613-621.

Eastman J, Sangermano F, Machado E, et al. Global trends in seasonality of normalized difference vegetation index (NDVI),1982-2011[J]. Remote Sensing, 2013,5(10):4799-4818.

Chen Chi, Park T, Wang Xuhui, et al. China and India lead in greening of the world through land-use management[J]. Nature Sustainability, 2019,2(2):122-129.

侯小丽.基于MODIS数据的全球干旱区植被变化及其与气候关系的研究(2002-2011年)[D].山东泰安:山东农业大学,2016.

郑艺,张丽,周宇,等. 1982-2012年全球干旱区植被变化及驱动因子分析[J]. 干旱区研究,2017,34(1):59-66.

Li Zhi, Chen Yaning, Li Weihong, et al. Potential impacts of climate change on vegetation dynamics in Central Asia[J]. Journal of Geophysical Research (Atmospheres), 2015,120(24):12345-12356.

Steinier J, Termonia Y, Deltour J. Smoothing and differentiation of data by simplified least square procedure[J]. Analytical Chemistry, 1972,44(11):1906-1909.

孟梦,牛铮.近30 a内蒙古NDVI演变特征及其对气候的响应[J].遥感技术与应用,2018,33(4):676-685.

Zhang Xuebin, Yang Feng. RClimDex(1.0)User Manual[R]. Climate Research Branch Environment Canada Downsview, Ontario Canada, 2004.

钱永兰,吕厚荃,张艳红.基于ANUSPLIN软件的逐日气象要素插值方法应用与评估[J].气象与环境学报,2010,26(2):7-15.

江田汉,邓莲堂. Hurst指数估计中存在的若干问题:以在气候变化研究中的应用为例[J].地理科学,2004,24(2):177-182.

任璇,郑江华,穆晨,等.不同气象插值方法在新疆草地NPP估算中的可靠性评价[J].草业科学,2017,34(3):439-448.

谭剑波,李爱农,雷光斌. 青藏高原东南缘气象要素Anusplin和Cokriging空间插值对比分析[J]. 高原气象,2016,35(4):875-886.

周梦甜,李军,朱康文.近15a新疆不同类型植被NDVI时空动态变化及对气候变化的响应[J].干旱区地理,2015,38(4):779-787.

何宝忠,丁建丽,张喆,等.新疆植被覆盖度趋势演变实验性分析[J].地理学报,2016,71(11):1948-1966.

王倩,杨太保,杨雪梅.新疆伊犁河流域植被变化动态监测与评价[J].干旱区资源与环境,2015,29(8):126-131.

何航,张勃,侯启,等.1982-2015年中国北方归一化植被指数(NDVI)变化特征及对气候变化的响应[J].生态与农村环境学报,2020,36(1):70-80.

杨光华,包安明,陈曦,等.1998-2007年新疆植被覆盖变化及驱动因素分析[J].冰川冻土,2009,31(3):436-445.

李佳秀,陈亚宁,刘志辉.新疆不同气候区的气温和降水变化及其对地表水资源的影响[J].中国科学院大学学报,2018,35(3):370-381.

王计平,郭仲军,黄继红,等.北疆不同生态功能区近30年来植被盖度时空变化[J].林业资源管理,2015(6):64-70.

祝稳.西北干旱区植被覆盖动态及其对极端气温和降水过程的响应[D].甘肃兰州:西北师范大学,2015.

沈永平,苏宏超,王国亚,等.新疆冰川、积雪对气候变化的响应(Ⅰ):水文效应[J].冰川冻土,2013,35(3):513-527.

张扬,楚新正,杨少敏,等.近56a新疆北部地区气候变化特征[J].干旱区研究,2019,36(1):212-219.

谢培,顾艳玲,张玉虎,等.1961-2015年新疆降水及干旱特征分析[J].干旱区地理,2017,40(2):332-339.

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