Seasonal Changes in Vegetation Activity in Response to Climate Changes in China between 1982 and 1999

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  • Department of Urban & Environmental Sciences, and Center for Ecological Research & Education, Peking University, Beijing 100871, China

Received date: 2002-04-17

  Revised date: 2002-10-09

  Online published: 2003-01-25

Supported by

National Key Project for Basic Research, No.G2000046801; National Natural Science Foundation of China, No.40152003

Abstract

In the present study, using normalized difference vegetation index (NDVI) as an indicator of vegetation activity, seasonal trends of vegetation activity and their dynamic responses to climate changes in China were explored based on remotely sensed data (NOAA-AVHRR) from 1982 to 1999. As a result, spatially averaged seasonal NDVI in China showed a pronounced increase in all four seasons (spring, summer, autumn and winter) during the past 18 years. The average spring NDVI indicated the most significant increase (P<0.001) with a mean rate of 1.3%, while the average autumn NDVI showed the least increase (P=0.075). Analyzing interannual changes in seasonal mean NDVI by vegetation type, it was found that the advance of growing season was a major way for response of vegetation activity to climate changes and that the way exhibited a large regional heterogeneity. In the past 18 years, regions with the largest increase rate of summer NDVI appeared in Northwest China and the Tibetan Plateau, while areas with that of spring NDVI occurred in the eastern part of the country.

Cite this article

PIAO Shilong, FANG Jingyun . Seasonal Changes in Vegetation Activity in Response to Climate Changes in China between 1982 and 1999[J]. Acta Geographica Sinica, 2003 , 58(1) : 119 -125 . DOI: 10.11821/xb200301014

References


[1] Cramer W P, R Leemans. Assessing impacts of climate change on vegetation using climate classfication systems. In: Solomon A M, Shugart H H (eds.), Vegetation Dynamics and Global Change. London: Chapman and Hall, 1993. 190-217.

[2] Keeling C D, J F S Chin, T P Whorf. Increased activity of northern vegetation in inferred from atmospheric CO2 measurements. Nature, 1996, 382: 146-149.

[3] Myneni R B, C D Keeling, C J Tucker et al. Increased plant growth in the northern high latitudes from 1981-1991. Nature, 1997, 386: 698-702.

[4] Fang J Y, A P Chen, C H Peng et al. Changes in forest biomass carbon storage in China between 1949 and 1998. Science, 2001, 292: 2320-2322.

[5] Zhou L M, C J Tucker, R K Kaufmann et al. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. Journal of Geophysical Research, 2001, 106: 20069-20083.

[6] Piao Shilong, Fang Jingyun. Dynamic vegetation cover change over last 18 years in China. Querternary Sciences, 2001, 21: 294-302.
[朴世龙, 方精云. 最近18年来中国植被覆盖的动态变化. 第四纪研究, 2001, 21: 294-302.]

[7] Tucker C J, I Y Fung, C D Keeling et al. Relationship between atmospheric CO2 variations and a satellite-derived vegetation index. Nature, 1986, 319: 195-199.

[8] Sellers P J, B W Meeson, F G Hall et al. Remote sensing of the land surface for studies of global change: Models-Algorithms-Experiments. Remote Sensing of Environment, 1995, 51: 3-26.

[9] Potter C S, J T Randerson, C B Field et al. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochemical Cycles, 1993, 7: 811-841.

[10] Field C B, J T Randerson, C M Malmstrom. Global net primary production: combining ecology and remote sensing. Remote Sensing of Environment, 1995, 51: 74-88.

[11] Cramer W, Kicklighter D W, Bondeau A et al. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Change Biology, 1999, 5: 1-15.

[12] Fang J Y, S L Piao, Z Y Tang et al. Interannual variability in net primary productivity and precipitation. Science, 2001, 293: 1723a.

[13] Michael J B, J T Randerson, C R Mcclain et al. Biospheric primary production during an ENSO transition. Science, 2001, 291: 2595-2597.

[14] James M E, S N V Kalluri. The pathfinder AVHRR land area data set: an improved coarse resolution data set for terrestrial monitoring. International Journal of Remote Sensing, 1994, 15: 3347-3363.

[15] Defries R S, J R G Townshend. NDVI-derived land cover classifications at a global scale. International Journal of Remote Sensing, 1994, 15: 3567-3586.

[16] Holben B N. Characteristics of maximum-value composite images for temporal AVHRR data. International Journal of Remote Sensing, 1986, 7: 1435-1445.

[17] Tucker C J, Newcomb W W, Dregne H E. AVHRR data sets for determination of desert spatial extent. International Journal of Remote Sensing, 1994, 17: 3547-3565.

[18] Botany Institute of Chinese Academy of Sciences. Vegetation of China. Beijing: Cartographic Publishing House, 1982.
[中国科学院植物研究所. 中国植被图. 北京: 地图出版社, 1982.]

[19] Randerson J T, C B Field, I Y Fung et al. Increases in early season ecosystem uptake recent explain recent changes in the seasonal cycle of atmospheric CO2 at high northern latitudes. Geographical Research Letters, 1999, 26: 2765-2768.

[20] Lei Wenfang. The influence of Pinatubo eruption to atmosphere aerosol. In: Wang Gengchen, Wen Yupu (eds), The Measurement of Greenhouse Gas and Their Release and Related Processes. Beijing: China Environment Science Press, 1996. 391-397.
[雷文方. Pinatubo火山爆发对平流层气溶胶的影响. 见: 王庚辰, 温玉璞 主编, 温室气体浓度和排放检测及相关过程. 北京: 中国环境科学出版社, 1996. 391-397.]

[21] Jiang Gaoming. Response of plant ecophysiologic to global change. In: Fang Jingyun (ed.), Global Ecology: Climate Change and Ecological Responses. Beijing: Higher Education Press, 2000. 26-41.
[蒋高明. 全球变化与植物生理生态反应. 见: 方精云 主编, 全球生态学: 气候变化与生态响应. 北京: 高教出版社, 2000. 26-41.]

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