[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]
研究论文

1982-2012年中亚植被变化及其对气候变化的响应

展开
  • 1中国科学院新疆生态与地理研究所, 荒漠与绿洲生态国家重点实验室, 乌鲁木齐 830011
    2中国科学院大学, 北京 100049
# 共同第一作者

网络出版日期: 2016-01-28

基金资助

国家自然科学基金委员会-新疆联合基金“本地优秀青年人才培养专项” (U1403382), 国家自然科学基金“面上项目” (41171094)。

Vegetation change and its response to climate change in Central Asia from 1982 to 2012

Expand
  • 1State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi 830011, China
    2University of Chinese Academy of Sciences, Beijing 100049, China
# Co-first authors

Online published: 2016-01-28

摘要

归一化植被指数(NDVI)能够反映植被生长状况, 被广泛应用于区域乃至全球的植被变化研究中。该文利用1982-2012年GIMMS-NDVI数据, 通过基于像元的线性趋势分析、偏相关分析, 基于场域的经验正交分解(EOF)、奇异值分解(SVD), 综合时间和空间两个维度上的信息, 研究了近31年来中亚植被的变化及其变化中的区域差异, 分析了植被对气候变化的响应关系。线性趋势分析发现, 34%的中亚植被NDVI显著增长(p < 0.05), 山区植被NDVI的增长速率可达到每年0.004。偏相关分析表明, 63%的中亚植被受到降水的显著影响(p < 0.05, 仅4%为负相关), 而32%的植被受到气温的显著影响(p < 0.05, 仅9%为正相关)。EOF分析发现, 中亚植被NDVI的变化表现出较大的空间差异: 山区及东北部的植被NDVI变化主要分为3个阶段, 即先增长(1982-1994年)、后波动(1994-2002年)、然后继续增长(2002-2012年); 而西北部平原区的植被NDVI变化主要表现为两个阶段, 即先增长(1982-1994年)而后减少(1994-2012年)。SVD分析表明: 1982-2012年间中亚植被受到降水和气温的共同影响, 植被NDVI的空间变化特征与降水的空间变化特征较为一致, 但西北部和山区的植被NDVI对气温的响应存在差异。

本文引用格式

张琪, 袁秀亮, 陈曦, 罗格平, 李龙辉 . 1982-2012年中亚植被变化及其对气候变化的响应[J]. 植物生态学报, 2016 , 40(1) : 13 -23 . DOI: 10.17521/cjpe.2015.0236

Abstract

AimsCentral Asia is one of the most vulnerable and sensitive areas to the change in climate. To understand the response of Central Asia ecosystems to climate change, it is important to improve our understanding of vegetation change and its response to climatic variations. Our objective is to explore and analyze the normalized difference vegetation index (NDVI) and its response to climate change in Central Asia during the period 1982-2012.MethodsThe linear regression, the empirical orthogonal function (EOF), the singular value decomposition (SVD) and the partial correlation analysis were used to analyze the NDVI change and its response to climate factors in Central Asia during the period of 1982-2012.Important findings 34% of vegetation in Central Asia showed a pronounced change in NDVI with a significant trend of increase (p < 0.05) and the rate of increase in NDVI exceeded 0.004 per year for mountainous regions. Both air temperature and precipitation showed significant effects on NDVI. Based on partial correlation analysis, 63% of vegetation was found to be significantly affected by precipitation (p < 0.05) while 32% vegetation was affected by air temperature (p < 0.05). The NDVI changes showed increasing trend from 1982 to 1994, fluctuations between 1994 and 2002, and increasing trend again from 2002 to 2012 in mountainous and northeastern areas. While the NDVI changes experienced increasing trend from 1982 to 1994 but decreasing trend from 1994 to 2012 in northwestern areas. Based on the analysis of SVD, the spatial patterns of NDVI variations were consistent with the spatial patterns of precipitation variations. However, the temperature responses of vegetation NDVI differed across the northeast and the mountainous regions in Central Asia.
[an error occurred while processing this directive]

参考文献

1 Bojanowski JS, Kowalik W, Bochenek Z (2009). Noise reduction of NDVI time series: A robust method based on Savitzky-Golay filter.Annals of Geomatics, 7, 13-21.
2 Chen FH, Huang W, Jin LY, Chen JH, Wang JS (2011). Spatiotemporal precipitation variations in the arid Central Asia in the context of global warming.Science China Earth Sciences, 54, 1812-1821.
3 Chen X (2012). Retrieval and Analysis of Evapotranspiration in Central Areas of Asia. China Meteorological Press, Beijing. 111. (in Chinese)
3 [陈曦 (2012). 亚洲中部干旱区蒸散发研究. 气象出版社, 北京. 111.]
4 de Beurs KM, Henebry GM (2004). Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan.Remote Sensing of Environment, 89, 497-509.
5 de Beurs KM, Wright CK, Henebry GM (2009). Dual scale trend analysis for evaluating climatic and anthropogenic effects on the vegetated land surface in Russia and Kazakhstan.Environmental Research Letters, 4, 940-941. doi: 10.1016/ j.rse.2003.11.006.
6 Du JQ, Shu JM, Yin JQ, Yuan XJ, Jiaerheng A, Xiong SS, He P, Liu WL (2015). Analysis on spatio-temporal trends and drivers in vegetation growth during recent decades in Xinjiang, China.International Journal of Applied Earth Observation and Geoinformation, 38, 216-228.
7 Fang JY, Piao SL, He JS, Ma WH (2003). Vegetation activity increased in China in nearly 20 years.Science in China Series C: Life Sciences, 33, 554-565. (in Chinese)
7 [方精云, 朴世龙, 贺金生, 马文红 (2003). 近20年来中国植被活动在增强. 中国科学(C辑:生命科学), 33, 554-565.]
8 Fensholt R, Langanke T, Rasmussen K, Reenberg A, Prince SD, Tucker C, Scholes RJ, Le QB, Bondeau A, Eastman R, Epstein H, Gaughan AE, Hellden U, Mbow C, Olsson L, Paruelo J, Schweitzer C, Seaquist J, Wessels K (2012). Greenness in semi-arid areas across the globe 1981-2007: An earth observing satellite based analysis of trends and drivers.Remote Sensing of Environment, 121, 144-158.
9 Gessner U, Naeimi V, Klein I, Kuenzer C, Klein D, Dech S (2013). The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia.Global and Planetary Change, 110, 74-87.
10 Gimeno R, Manchado B, Mı?nguez R (1999). Stationarity tests for financial time series.Physica A: Statistical Mechanics and its Applications, 269, 72-78.
11 Hu ZY, Zhang C, Hu Q, Tian HQ (2014). Temperature changes in Central Asia from 1979 to 2011 based on multiple datasets.Journal of Climate, 27, 1143-1167.
12 IGBP (The International Geosphere Biosphere Programme) (1997). The Terrestrial Biosphere and Global Change. Cambridge University Press, Stockholm, Sweden.
13 Jiang B, Liang SL, Yuan WP (2015). Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test.Journal of Geophysical Research, 120, 1-12.
14 Johnson RA, Wichern DW (2007). Applied Multivariate Statistical Analysis. 6th edn. Pearson Prentice Hall Press, US. 401-409.
15 Jordi A, Basterretxea G (2012). Using SVD analysis of combined altimetry and ocean color satellite data for assessing basin scale physical-biological coupling in the Mediterranean Sea.Remote Sensing of Biomass, 6, 123-140.
16 Kariyeva J, van Leeuwen WJD, Woodhouse CA (2012). Impacts of climate gradients on the vegetation phenology of major land use types in Central Asia (1981-2008).Frontiers of Earth Science, 6, 206-225.
17 Lioubimtseva E, Cole R, Adams JM, Kapustin G (2005). Impacts of climate and land-cover changes in arid lands of Central Asia.Journal of Arid Environments, 62, 285-308.
18 Lioubimtseva E, Henebry GM (2009). Climate and environmental change in arid Central Asia: Impacts, vulnerability, and adaptations.Journal of Arid Environments, 73, 963-977.
19 Loboda TV, Giglio L, Boschetti L, Justice CO (2012). Regional fire monitoring and characterization using global NASA MODIS fire products in dry lands of Central Asia.Frontiers of Earth Science, 6, 196-205.
20 Luo GP, Han QF, Zhou DC, Li L, Chen X, Li Y, Hu YK, Li BL (2012). Moderate grazing can promote aboveground primary production of grassland under water stress.Ecological Complexity, 11, 126-136.
21 Mohammat A, Wang XH, Xu XT, Peng LQ, Yang Y, Zhang XP, Myneni RB, Piao SL (2013). Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia. Agricultural and Forest Meteorology, 178-179, 21-30.
22 Park HS, Sohn BJ (2010). Recent trends in changes of vegetation over East Asia coupled with temperature and rainfall variations.Journal of Geophysical Research, 115, D14101. doi: 10.1029/2009JD012752.
23 Peng SS, Chen AP, Xu L, Cao CX, Fang JY, Myneni RB, Pinzon JE, Tucker CJ, Piao SL (2011). Recent change of vegetation growth trend in China.Environmental Research Letters, 6, 044027. doi: 10.1088/1748-9326/6/4/044027.
24 Piao SL, Wang XH, Ciais P, Zhu B, Wang T, Liu J (2011). Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006.Global Change Biology, 17, 3228-3239.
25 Prohaska JT (1976). A technique for analyzing the linear relationships between two meteorological fields.Monthly Weather Review, 104, 1345-1353.
26 Propastin PA, Kappas M, Muratova NR (2008a). Inter-annual changes in vegetation activities and their relationship to temperature and precipitation in Central Asia from 1982 to 2003.Journal of Environmental Informatics, 12, 75-87.
27 Propastin PA, Kappas M, Muratova NR (2008b). A remote sensing based monitoring system for discrimination between climate and human-induced vegetation change in Central Asia.Management of Environmental Quality, 19, 579-596.
28 Slayback DA, Pinzon JE, Los SO, Tucker CJ (2003). Northern hemisphere photosynthetic trends 1982-99.Global Change Biology, 9, 1-15.
29 Sugihara G, May R, Ye H, Hsieh CH, Deyle E, Fogarty M, Munch S (2012). Detecting causality in complex ecosystems.Science, 338, 496-500.
30 Suo YX, Wang ZX, Liu C, Yu BH (2009). Relationship
31 between NDVI and precipitation and temperature in Middle Asia during1982-2002.Resources Science, 31, 1422-1429. (in Chinese with English abstract)
31 [索玉霞, 王正兴, 刘闯, 于伯华 (2009). 中亚地区1982年至2002年植被指数与气温和降水的相关性分析. 资源科学, 31, 1422-1429.]
32 Tsonis AA, Deyle ER, May RM, Sugihara G, Swanson K, Verbeten JD, Wang GL (2015). Dynamical evidence for causality between galactic cosmic rays and interannual variation in global temperature.Proceedings of the National Academy of Sciences of the United States of America, 112, 3253-3256.
33 Wei FY (2007). Modern Climate Statistics and Forecast Technology. 2nd edn. China Meteorological Press, Beijing. 114. (in Chinese)
33 [魏凤英 (2007). 现代气候统计诊断与预测技术第二版. 气象出版社, 北京. 114.]
34 Wright CK, de Beurs KM, Akhmadieva ZK, Groisman PY, Henebry GM (2009). Reanalysis data underestimate significant changes in growing season weather in Kazakhstan.Environmental Research Letters, 4, 0450202. doi: 10. 1088/1748- 9326/4/4/045020.
35 Xu XR (2005). Remote Sensing Physics. The Peking University Publishing House, Beijing. 176. (in Chinese)
35 [徐希濡 (2005). 遥感物理. 北京大学出版社, 北京. 176.]
36 Zhang XZ (2014). Main models of variations of autumn vegetation greenness in the mid-latitude of north hemisphere in 1982-2011.Scientia Geographica Sinica, 34, 1226-1232. (in Chinese with English abstract)
36 [张学珍 (2014). 1982-2011年北半球中纬度秋季植被绿度变化的主要模态. 地理科学, 34, 1226-1232.]
37 Zhao X, Tan K, Zhao SQ, Fang JY (2011). Changing climate affects vegetation growth in the arid region of the northwestern China.Journal of Arid Environments, 75, 946-952.
38 Zhou KF, Zhang Q, Chen X, Sun L (2007). Features and trends of the environmental change in the arid areas in Central Asia.Science China Series D: Earth Sciences, 50, 142-148.
39 Zhou Y, Zhang L, Fensholt R, Wang K, Vitkovskaya I, Tian F (2015). Climate contributions to vegetation variations in Central Asian drylands: Pre-and Post-USSR collapse.Remote Sensing, 7, 2449-2470.
文章导航

/

[an error occurred while processing this directive]