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Volume 29 Issue 5

Sep.  2012

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2012 >  29(5): 1063-1077

Responses of Grassland and Forest to Temperature and Precipitation Changes in Northeast China

  • 1.

    State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Zhuhai 519087, State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Ch;State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Zhuhai 519087, State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Ch;State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Zhuhai 519087, State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Ch;National Climate Center, China Meteorological Administration, Beijing 100081


doi: 10.1007/s00376-012-1172-2

  • Using the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth, we explored the characteristics and differences in the response to drought of five vegetation biomes in Northeast China, including typical steppe, desert steppe, meadow steppe, deciduous coniferous forest and deciduous broad-leaved forest during the period 1982--2009. The results indicate that growing season precipitation may be the primary vegetation growth-limiting factor in grasslands. More than 70% of the temporal variations in NDVI can be explained by the amount of precipitation during the growing season in typical and desert steppes. During the same period, the mean temperature in the growing season could explain nearly 43% of the variations in the mean growing season NDVI and is therefore a dominant growth-limiting factor for forest ecosystems. Therefore, the NDVI trends differ largely due to differences in the vegetation growth-limiting factors of the different vegetation biomes. The NDVI responses to droughts vary in magnitude and direction and depend on the drought-affected areas of the five vegetation types. Specifically, the changes in NDVI are consistent with the variations in precipitation for grassland ecosystems. A lack of precipitation resulted in decreases in NDVI, thereby reducing vegetation growth in these regions. Conversely, increasing precipitation decreased the NDVI of forest ecosystems. The results also suggest that grasslands under arid and semi-arid environments may be more sensitive to drought than forests under humid environments. Among grassland ecosystems, desert steppe was most sensitive to drought, followed by typical steppe; meadow steppe was the least sensitive.
  • [1] CHEN Wei, LU Riyu, 2014: The Interannual Variation in Monthly Temperature over Northeast China during Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 515-524.  doi: 10.1007/s00376-013-3102-3
    [2] WANG Lin, CHEN Wen, ZHOU Wen, 2014: Assessment of Future Drought in Southwest China Based on CMIP5 Multimodel Projections, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1035-1050.  doi: 10.1007/s00376-014-3223-3
    [3] Huanlian LI, Huijun WANG, Dabang JIANG, 2017: Influence of October Eurasian Snow on Winter Temperature over Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 116-126.  doi: 10.1007/s00376-016-5274-0
    [4] Xiujing YU, Guoyu REN, Panfeng ZHANG, Jingbiao HU, Ning LIU, Jianping LI, Chenchen ZHANG, 2020: Extreme Temperature Change of the Last 110 Years in Changchun, Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 347-358.  doi: 10.1007/s00376-020-9165-z
    [5] SUN Li, SHEN Baizhu, GAO Zongting, SUI Bo, Lesheng BAI, Sheng-Hung WANG, AN Gang, LI Jian, 2007: The Impacts of Moisture Transport of East Asian Monsoon on Summer Precipitation in Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 606-618.  doi: 10.1007/s00376-007-0606-8
    [6] Tingting HAN, Shengping HE, Huijun WANG, Xin HAO, 2019: Variation in Principal Modes of Midsummer Precipitation over Northeast China and Its Associated Atmospheric Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 55-64.  doi: 10.1007/s00376-018-8072-z
    [7] Shuangmei MA, Congwen ZHU, Juan LIU, 2020: Combined Impacts of Warm Central Equatorial Pacific Sea Surface Temperatures and Anthropogenic Warming on the 2019 Severe Drought in East China, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1149-1163.  doi: 10.1007/s00376-020-0077-8
    [8] YUE Jin, HAN Shenghui, ZHENG Xunhua, 2012: Designing a Regional Nitrogen Cycle Module of Grassland for the IAP-N Model, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 320-332.  doi: 10.1007/s00376-011-0165-x
    [9] XU Xingkai, HAN Lin, LUO Xianbao, HAN Shijie, 2011: Synergistic Effects of Nitrogen Amendments and Ethylene on Atmospheric Methane Uptake under a Temperate Old-growth Forest, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 843-854.  doi: 10.1007/s00376-010-0071-7
    [10] Reshmita NATH, Debashis NATH, Qian LI, Wen CHEN, Xuefeng CUI, 2017: Impact of Drought on Agriculture in the Indo-Gangetic Plain, India, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 335-346.  doi: 10.1007/s00376-016-6102-2
    [11] LIAN Yi, ZHAO Bin, SHEN Baizhu, LI Shangfeng, LIU Gang, 2014: Numerical Experiments on the Impact of Spring North Pacific SSTA on NPO and Unusually Cool Summers in Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1305-1315.  doi: 10.1007/s00376-014-3247-8
    [12] WANG Zhongrui, Song FENG, TANG Maocang, 2003: A Relationship between Solar Activity and Frequency of Natural Disasters in China, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 934-939.  doi: 10.1007/BF02915516
    [13] Chan XIAO, Peili WU, Lixia ZHANG, Robin T. CLARK, 2018: Increasing Flash Floods in a Drying Climate over Southwest China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1094-1099.  doi: 10.1007/s00376-018-7275-7
    [14] SUN Li, SHEN Baizhu, SUI Bo, 2010: A Study on Water Vapor Transport and Budget of Heavy Rain in Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1399-1414.  doi: 10.1007/s00376-010-9087-2
    [15] Minwei Qian, N. Loglisci, C. Cassardo, A. Longhetto, C. Giraud, 2001: Energy and Water Balance at Soil-Air Interface in a Sahelian Region, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 897-909.
    [16] Jinling PIAO, Wen CHEN, Ke WEI, Yong LIU, Hans-F. GRAF, Joong-Bae AHN, Alexander POGORELTSEV, 2017: An Abrupt Rainfall Decrease over the Asian Inland Plateau Region around 1999 and the Possible Underlying Mechanism, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 456-468.  doi: 10.1007/s00376-016-6136-5
    [17] Zheng Weizhong, Ni Yunqi, 1999: A Numerical Experiment Study for Effects of the Grassland Desertification on Summer Drought in North China, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 251-262.  doi: 10.1007/BF02973086
    [18] ZHANG Jingyong, DONG Wenjie, FU Congbin, WU Lingyun, 2003: The Influence of Vegetation Cover on Summer Precipitation in China: a Statistical Analysis of NDVI and Climate Data, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 1002-1006.  doi: 10.1007/BF02915523
    [19] SHI Weilai, WANG Hanjie, 2003: The Regional Climate Effects of Replacing Farmland and Re-greening the Desertification Lands with Forest or Grass in West China, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 45-54.  doi: 10.1007/BF03342049
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    • Manuscript History

    Manuscript received: 10 September 2012
    Manuscript revised: 10 September 2012
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Responses of Grassland and Forest to Temperature and Precipitation Changes in Northeast China

    • 1. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Zhuhai 519087, State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Ch;State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Zhuhai 519087, State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Ch;State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Zhuhai 519087, State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Ch;National Climate Center, China Meteorological Administration, Beijing 100081
    • Manuscript received: 2012-09-10
    • Manuscript revised: 2012-09-10

    Abstract: Using the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation growth, we explored the characteristics and differences in the response to drought of five vegetation biomes in Northeast China, including typical steppe, desert steppe, meadow steppe, deciduous coniferous forest and deciduous broad-leaved forest during the period 1982--2009. The results indicate that growing season precipitation may be the primary vegetation growth-limiting factor in grasslands. More than 70% of the temporal variations in NDVI can be explained by the amount of precipitation during the growing season in typical and desert steppes. During the same period, the mean temperature in the growing season could explain nearly 43% of the variations in the mean growing season NDVI and is therefore a dominant growth-limiting factor for forest ecosystems. Therefore, the NDVI trends differ largely due to differences in the vegetation growth-limiting factors of the different vegetation biomes. The NDVI responses to droughts vary in magnitude and direction and depend on the drought-affected areas of the five vegetation types. Specifically, the changes in NDVI are consistent with the variations in precipitation for grassland ecosystems. A lack of precipitation resulted in decreases in NDVI, thereby reducing vegetation growth in these regions. Conversely, increasing precipitation decreased the NDVI of forest ecosystems. The results also suggest that grasslands under arid and semi-arid environments may be more sensitive to drought than forests under humid environments. Among grassland ecosystems, desert steppe was most sensitive to drought, followed by typical steppe; meadow steppe was the least sensitive.

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