PDF Download

[1]ZHAO Anzhou,ZHANG Anbing,ZHAO Yanxu,et al.Spatiotemporal Changes of Vegetation in the Shaanxi—Gansu—Ningxia Region and Response to Climatic Extremes Based on MODIS NDVI Data[J].Research of Soil and Water Conservation,2018,25(03):224-231.

Copy

Spatiotemporal Changes of Vegetation in the Shaanxi—Gansu—Ningxia Region and Response to Climatic Extremes Based on MODIS NDVI Data

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 03 Page number: 224-231 Column: Public date: 2018-04-10

Title:: Spatiotemporal Changes of Vegetation in the Shaanxi—Gansu—Ningxia Region and Response to Climatic Extremes Based on MODIS NDVI Data

Author(s):: ZHAO Anzhou^1,2, ZHANG Anbing^1,2, ZHAO Yanxu³, FAN Qianqian^1,2, ZHAO Yuling^1,2; 1. College of Resources, Hebei University of Engineering. Handan, Hebei 056038, China;
2. Hebei Collaborative Innovation Center of Coal Exploitation, Hebei University of Engineering. Handan, Hebei 056038;
3. College of Architecture and Art, Hebei University of Engineering. Handan, Hebei 056038, China

Keywords:: NDVI; spatiotemporal variation; climate extremes; correlation analysis; Shaanxi-Gansu-Ningxia region

CLC:: Q948.1;P467

DOI:: -

Abstract:: Droughts, precipitation and other extreme climatic events often impact on vegetation. Base on daily precipitation, temperature (average, maximum, and minimum) data from 14 meteorological stations and a satellite-derived normalized difference vegetation index (NDVI) from MODIS dataset, we investigated relationship between vegetation change and climatic extremes in Shaanxi-Gansu-Ningxia region during 2000-2014. The results showed that the vegetation coverage of the study region exhibited the significant increase, with a linear tendency being 0.066/decade (p<0.01) during 2000-2014. Annual NDVI during 2000-2014 for grassland, shrub-land, cultivated vegetation, needle leaved forest and broad-leaf forest exhibited the significant increase in a linear trend of 0.06/decade, 0.058/decade, 0.077/decade, 0.039/decade and 0.036/decade (p<0.01), respectively. As for spatial distribution, NDVI showed thedecreasing trend from southeast to northwest, the areas in Yulin and Yan’an exhibited the significant increase because of the ecological engineering construction. All of the climatic extremes had no significantly change trend except the TXx. On the monthly scale, vegetation coverage and different vegetation types significantly positively responded to precipitation extremes and temperature extremes (TMAXmean, TMINmean, TNx, TNn, TXn and TXx) (p<0.01). All of the precipitation extremes and temperature extremes indicted significant positive relationship with NDVI in the spring and autumn (p<0.01). However, only the relationship between precipitation extremes (RX1day and RX5day) and NDVI was significant in summer. The vegetation showed the significant negative relation to RX5day in winter (p<0.05). Time lags analysis demonstrated that NDVI responded to precipitation extremes (RX1day and RX5day) and temperature extremes (TMAXmean and TXx) a lag of 1 month.

References:: [1] 郑景云,郝志新,方修琦,等.中国过去2000年极端气候事件变化的若干特征[J].地理科学进展,2014,33(1):3-12.
[2] 刘宪锋,朱秀芳,潘耀忠,等.近53年内蒙古寒潮时空变化特征及其影响因素[J].地理学报,2014,69(7):1013-1024.
[3] Easterling D R, Meehl G A, Parmesan C, et al. Climate extremes:Observations, modeling, and impacts[J]. Science, 2000,289(5487):2068-2074.
[4] Liao H, Chang W. Integrated assessment of air quality and climate change for policy-making:highlights of IPCC AR5 and research challenges[J]. National Science Review, 2014,1(2):176-179.
[5] 赵安周,刘宪锋,朱秀芳,等.1965-2013年黄土高原地区极端气温趋势变化及空间差异[J].地理研究,2016,35(4):639-652.
[6] Nemani R R, Keeling C D, Hashimoto H, et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999[J]. Science, 2003,300(5625):1560-1563.
[7] Ma Z, Peng C, Zhu Q, et al. Regional drought-induced reduction in the biomass carbon sink of Canada’s boreal forests[J]. Proceedings of the National Academy of Sciences, 2012,109(7):2423-2427.
[8] Ding M, Zhang Y, Liu L, et al. The relationship between NDVI and precipitation on the Tibetan Plateau[J]. Journal of Geographical Sciences, 2007,17(3):259-268.
[9] 刘宪锋,潘耀忠,朱秀芳,等.2000-2014年秦巴山区植被覆盖时空变化特征及其归因[J].地理学报,2015,70(5):705-716.
[10] John R, Chen J, Ou-Yang Z T, et al. Vegetation response to extreme climate events on the Mongolian Plateau from 2000 to 2010[J]. Environmental Research Letters, 2013,8(3):33-35.
[11] Hilker T, Lyapustin A I, Tucker C J, et al. Vegetation dynamics and rainfall sensitivity of the Amazon[J]. Proceedings of the National Academy of Sciences, 2014,111(45):16041-16046.
[12] Stocker T F. Climate change 2013:The physical science basis:Working Group I contribution to the Fifth assessment report of the Intergovernmental Panel on Climate Change[M]. Cambridge University Press, 2014.
[13] Reichstein M, Bahn M, Ciais P, et al. Climate extremes and the carbon cycle[J]. Nature, 2013,500(7462):287-295.
[14] 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):960-970.
[15] Li S, Yang S, Liu X, et al. NDVI-based analysis on the influence of climate change and human activities on vegetation restoration in the Shaanxi-Gansu-Ningxia region, Central China[J]. Remote Sensing, 2015,7(9):11163-11182.
[16] 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.
[17] 王琼,张明军,王圣杰,等.1962-2011年长江流域极端气温事件分析[J].地理学报,2013,68(5):611-625.
[18] 李双双,杨赛霓,刘宪锋.1960-2013年秦岭-淮河南北极端降水时空变化特征及其影响因素[J].地理科学进展,2015,34(3):354-363.
[19] Sen P K. Estimates of the regression coefficient based on Kendall’s tau[J]. Journal of the American Statistical Association, 1968,63(324):1379-1389.
[20] Kendall M G. Rank correlation methods[J]. British Journal of Psychology, 1984,25(1):86-91.
[21] Peng J, Liu Z, Liu Y, et al. Trend analysis of vegetation dynamics in Qinghai-Tibet Plateau using Hurst Exponent[J]. Ecological Indicators, 2012,14(1):28-39.
[22] 赵舒怡,宫兆宁,刘旭颖.2001-2013年华北地区植被覆盖度与干旱条件的相关分析[J].地理学报,2015,70(5):717-729.
[23] 张彬,朱建军,刘华民,等.极端降水和极端干旱事件对草原生态系统的影响[J].植物生态学报,2014,38(9):1008-1018.
[24] Liu G, Liu H, Yin Y. Global patterns of NDVI-indicated vegetation extremes and their sensitivity to climate extremes[J]. Environmental Research Letters, 2013,8(2):025009.
[25] Tan Z, Tao H, Jiang J, et al. Influences of climate extremes on NDVI(normalized difference vegetation index)in the Poyang Lake Basin, China[J]. Wetlands, 2015,35(6):1033-1042.
[26] 周德成,赵淑清,朱超.退耕还林工程对黄土高原土地利用/覆被变化的影响:以陕西省安塞县为例[J].自然资源学报,2011,26(11):1866-1878.

Similar References:

Memo

Last Update: 1900-01-01