Advanced Search
Article Contents

The Influence of Changes in Vegetation Type on the Surface Energy Budget


doi: 10.1007/BF02666542

  • The influence of changes in vegetation type on the surface energy budget was studied using the Simple Biosphere Model (SiB) of Sellers et al. (1986). The modeled energy budget response to the conversion of forest to short vegeta-tion or bare soil (deforestation) was investigated with SiB forced by three time-series of atmospheric boundary condi-tions collected at three different climatic sites: an Amazonian tropical forest, a. U.S. Great Plains grassland, and a cen-tral Wales spruce forest. The results show that SiB can simulate realistic surface energy budgets and surface tempera-tures, and that deforestation may have a significant influence on the local surface energy budget and surface weather. The influence is especially prominent at the Amazonian and U.S. Great Plains sites, and greater in summer than in other seasons.It was found that atmospheric boundary conditions play a dominant role in determining the degree of changes in the surface fluxes and temperature induced by deforestation; the largest change in latent heat flux appeared at the Amazon site, the largest change in sensible heat flux appeared at the Spruce forest site, and the largest change in sur-face temperature appeared at the Great Plains site. The Bowen ratios of the SiB sensitivity integrations for each site are comparable with observations. The values of the Bowen ratio and the ratio of latent heat flux to net radiation vary distinctly from site to site, implying that local atmospheric conditions limit the range of changes caused by the vegeta-tion change.
  • [1] LIU Shuhua, YUE Xu, LIU Huizhi, HU Fei, 2004: Using a Modified Soil-Plant-Atmosphere Scheme (MSPAS) to Study the Sensitivity of Land Surface and Boundary Layer Processes to Soil and Vegetation Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 717-729.  doi: 10.1007/BF02916369
    [2] Chujie GAO, Haishan CHEN, Shanlei SUN, Bei XU, Victor ONGOMA, Siguang ZHU, Hedi MA, Xing LI, 2018: Regional Features and Seasonality of Land-Atmosphere Coupling over Eastern China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 689-701.  doi: 10.1007/s00376-017-7140-0
    [3] ZENG Xinmin, ZHAO Ming, SU Bingkai, TANG Jianping, ZHENG Yiqun, GUI Qijun, ZHOU Zugang, 2003: Simulations of a Hydrological Model as Coupled to a Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 227-236.  doi: 10.1007/s00376-003-0008-5
    [4] PING Fan, GAO Shouting, WANG Huijun, 2003: An Improvement of the Mass Flux Convection Parameterization Scheme and its Sensitivity Tests for Seasonal Prediction over China, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 978-990.  doi: 10.1007/BF02915521
    [5] ZENG Hongling, WANG Zaizhi, JI Jinjun, WU Guoxiong, 2008: An Updated Coupled Model for Land-Atmosphere Interaction. Part I: Simulations of Physical Processes, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 619-631.  doi: 10.1007/s00376-008-0619-y
    [6] ZENG Hongling, JI Jinjun, WU Guoxiong, 2008: An Updated Coupled Model for Land-Atmosphere Interaction. Part II: Simulations of Biological Processes, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 632-640.  doi: 10.1007/s00376-008-0632-1
    [7] Yongkang Xue, 1991: A Two-Dimensional Coupled Biosphere-Atmosphere Model and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 447-458.  doi: 10.1007/BF02919267
    [8] ZHANG Xiaohui, GAO Zhiqiu, WEI Dongping, 2012: The Sensitivity of Ground Surface Temperature Prediction to Soil Thermal Properties Using the Simple Biosphere Model (SiB2)}, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 623-634.  doi: 10.1007/s00376-011-1162-9
    [9] ZHI Hai, WANG Panxing, DAN Li, YU Yongqiang, XU Yongfu, ZHENG Weipeng, 2009: Climate-Vegetation Interannual Variability in a Coupled Atmosphere-Ocean-Land Model, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 599-612.  doi: 10.1007/s00376-009-0599-6
    [10] Xue Jishan, Wang Kangling, Wang Zhiming, Huang Minqiang, Zhang Xuehong, Yuan Chongguang, 1988: TEST OF A TROPICAL LIMITED AREA NUMERICAL PREDIC-TION MODEL INCLUDING EFFECT OF REAL TOPOGRAPHY, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 1-14.  doi: 10.1007/BF02657341
    [11] LI Fang, ZENG Xiaodong, SONG Xiang, TIAN Dongxiao, SHAO Pu, ZHANG Dongling, 2011: Impact of Spin-up Forcing on Vegetation States Simulated by a Dynamic Global Vegetation Model Coupled with a Land Surface Model, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 775-788.  doi: 10.1007/s00376-010-0009-0
    [12] HU Yinqiao, CHEN Jinbei, ZHENG Yuanrun, LI Guoqing, ZUO Hongchao, 2006: Some Phenomena of the Interaction Between Vegetation and a Atmosphere on Multiple Scales, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 639-648.  doi: 10.1007/s00376-006-0639-4
    [13] Li Yinpeng, Ji Jinjun, 2001: Model Estimates of Global Carbon Flux between Vegetation and the Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 807-818.
    [14] XU Xingkui, Jason K. LEVY, 2011: The Impact of Agricultural Practices in China on Land-Atmosphere Interactions, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 821-831.  doi: 10.1007/s00376-010-0007-2
    [15] Zhang Daomin, Sheng Hua, Ji Liren, 1990: Development and Test of Hydrostatic Extraction Scheme in Spectral Model, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 142-153.  doi: 10.1007/BF02919152
    [16] Zhang Daomin, Li Jinlong, Ji Liren, Huang Boyin, Wu Wanli, Chen Jiabin, Song Zhengshan, 1995: A Global Spectral Model and Test of Its Performance, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 67-78.  doi: 10.1007/BF02661288
    [17] Sun Shufen, Xue Yongkang, 2001: Implementing a New Snow Scheme in Simplified Simple Biosphere Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 335-354.  doi: 10.1007/BF02919314
    [18] LIANG Miaoling, XIE Zhenghui, 2008: Improving the Vegetation Dynamic Simulation in a Land Surface Model by Using a Statistical-dynamic Canopy Interception Scheme, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 610-618.  doi: 10.1007/s00376-008-0610-7
    [19] Youlong XIA, Zong-Liang YANG, Paul L. STOFFA, Mrinal K. SEN, 2005: Optimal Parameter and Uncertainty Estimation of a Land Surface Model: Sensitivity to Parameter Ranges and Model Complexities, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 142-157.  doi: 10.1007/BF02930878
    [20] GAO Rong, DONG Wenjie, WEI Zhigang, 2008: Simulation and Analysis of China Climate Using Two-Way Interactive Atmosphere-Vegetation Model (RIEMS-AVIM), ADVANCES IN ATMOSPHERIC SCIENCES, 25, 1085-1097.  doi: 10.1007/s00376-008-1085-2

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 April 1994
Manuscript revised: 10 April 1994
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

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

The Influence of Changes in Vegetation Type on the Surface Energy Budget

  • 1. Center for Ocean-Land-Atmosphere Studies 4041 Powder Mill Road, Calverton, MD 20705, USA,Center for Ocean-Land-Atmosphere Studies 4041 Powder Mill Road, Calverton, MD 20705, USA,NASA / GSFC 923, Greenbelt, MD 20771, USA

Abstract: The influence of changes in vegetation type on the surface energy budget was studied using the Simple Biosphere Model (SiB) of Sellers et al. (1986). The modeled energy budget response to the conversion of forest to short vegeta-tion or bare soil (deforestation) was investigated with SiB forced by three time-series of atmospheric boundary condi-tions collected at three different climatic sites: an Amazonian tropical forest, a. U.S. Great Plains grassland, and a cen-tral Wales spruce forest. The results show that SiB can simulate realistic surface energy budgets and surface tempera-tures, and that deforestation may have a significant influence on the local surface energy budget and surface weather. The influence is especially prominent at the Amazonian and U.S. Great Plains sites, and greater in summer than in other seasons.It was found that atmospheric boundary conditions play a dominant role in determining the degree of changes in the surface fluxes and temperature induced by deforestation; the largest change in latent heat flux appeared at the Amazon site, the largest change in sensible heat flux appeared at the Spruce forest site, and the largest change in sur-face temperature appeared at the Great Plains site. The Bowen ratios of the SiB sensitivity integrations for each site are comparable with observations. The values of the Bowen ratio and the ratio of latent heat flux to net radiation vary distinctly from site to site, implying that local atmospheric conditions limit the range of changes caused by the vegeta-tion change.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return