Advanced Search
Article Contents

A New Economic Assessment Index for the Impact of Climate Change on Grain Yield


doi: 10.1007/s00376-007-0336-y

  • The impact of climate change on agriculture has received wide attention by the scientific community. This paper studies how to assess the grain yield impact of climate change, according to the climate change over a long time period in the future as predicted by a climate system model. The application of the concept of a traditional ``yield impact of meteorological factor (YIMF)" or ``yield impact of weather factor" to the grain yield assessment of a decadal or even a longer timescale would be suffocated at the outset because the YIMF is for studying the phenomenon on an interannual timescale, and it is difficult to distinguish between the trend caused by climate change and the one resulting from changes in non-climatic factors. Therefore, the concept of the yield impact of climatic change (YICC), which is defined as the difference in the per unit area yields (PUAY) of a grain crop under a changing and an envisaged invariant climate conditions, is presented in this paper to assess the impact of global climate change on grain yields. The climatic factor has been introduced into the renowned economic Cobb-Douglas model, yielding a quantitative assessment method of YICC using real data. The method has been tested using the historical data of Northeast China, and the results show that it has an encouraging application outlook.
  • [1] CHOU Jieming, DONG Wenjie, FENG Guolin, 2010: Application of an Economy--Climate Model to Assess the Impact of Climate Change, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 957-965.  doi: 10.1007/s00376-009-8166-8
    [2] Congbin FU, 2017: From Climate to Global Change: Following the Footprint of Prof. Duzheng YE's Research, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1159-1168.  doi: 10.1007/s00376-017-6300-6
    [3] Chen Yuejuan, Zhang Hong, Bi Xunqiang, 1998: Numerical Experiment for the Impact of the Ozone Hole over Antarctica on the Global Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 300-311.  doi: 10.1007/s00376-998-0002-z
    [4] Yun QIAN, Teppei J. YASUNARI, Sarah J. DOHERTY, Mark G. FLANNER, William K. M. LAU, MING Jing, Hailong WANG, Mo WANG, Stephen G. WARREN, Rudong ZHANG, 2015: Light-absorbing Particles in Snow and Ice: Measurement and Modeling of Climatic and Hydrological impact, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 64-91.  doi: 10.1007/s00376-014-0010-0
    [5] Ning ZENG, 2003: Glacial-Interglacial Atmospheric CO2 Change--The Glacial Burial Hypothesis, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 677-693.  doi: 10.1007/BF02915395
    [6] DUAN Anmin, WU Guoxiong, LIU Yimin, MA Yaoming, ZHAO Ping, 2012: Weather and Climate Effects of the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 978-992.  doi: 10.1007/s00376-012-1220-y
    [7] Mu Mu, Duan Wansuo, Wang Jiacheng, 2002: The Predictability Problems in Numerical Weather and Climate Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 191-204.  doi: 10.1007/s00376-002-0016-x
    [8] S. PANCHEV, T. SPASSOVA, 2005: Simple General Atmospheric Circulation and Climate Models with Memory, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 765-769.  doi: 10.1007/BF02918720
    [9] Susannah M. BURROWS, Aritra DASGUPTA, Sarah REEHL, Lisa BRAMER, Po-Lun MA, Philip J. RASCH, Yun QIAN, 2018: Characterizing the Relative Importance Assigned to Physical Variables by Climate Scientists when Assessing Atmospheric Climate Model Fidelity, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1101-1113.  doi: 10.1007/s00376-018-7300-x
    [10] Lijing CHENG, John ABRAHAM, Kevin E. TRENBERTH, Tim BOYER, Michael E. MANN, Jiang ZHU, Fan WANG, Fujiang YU, Ricardo LOCARNINI, John FASULLO, Fei ZHENG, Yuanlong LI, Bin ZHANG, Liying WAN, Xingrong CHEN, Dakui WANG, Licheng FENG, Xiangzhou SONG, Yulong LIU, Franco RESEGHETTI, Simona SIMONCELLI, Viktor GOURETSKI, Gengxin CHEN, Alexey MISHONOV, Jim REAGAN, Karina VON SCHUCKMANN, Yuying PAN, Zhetao TAN, Yujing ZHU, Wangxu WEI, Guancheng LI, Qiuping REN, Lijuan CAO, Yayang LU, 2024: New Record Ocean Temperatures and Related Climate Indicators in 2023, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3378-5
    [11] FAN Lei, Zhengyu LIU, LIU Qinyu, 2011: Robust GEFA Assessment of Climate Feedback to SST EOF Modes, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 907-912.  doi: 10.1007/s00376-010-0081-5
    [12] ZHOU Feifan, DING Ruiqiang, FENG Guolin, FU Zuntao, DUAN Wansuo, 2012: Progress in the Study of Nonlinear Atmospheric Dynamics and Predictability of Weather and Climate in China (2007--2011), ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1048-1062.  doi: 10.1007/s00376-012-1204-y
    [13] MU Mu, DUAN Wansuo, XU Hui, WANG Bo, 2006: Applications of Conditional Nonlinear Optimal Perturbation in Predictability Study and Sensitivity Analysis of Weather and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 992-1002.  doi: 10.1007/s00376-006-0992-3
    [14] YANG Shili, DONG Wenjie, CHOU Jieming, FENG Jinming, YAN Xiaodong, WEI Zhigang, YUAN Wenping, GUO Yan, TANG Yanli, HU Jiacong, 2015: A Brief Introduction to BNU-HESM1.0 and Its Earth Surface Temperature Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1683-1688.  doi: 10.1007/s00376-015-5050-6
    [15] B. KNOPF, K. ZICKFELD, M. FLECHSIG, V. PETOUKHOV, 2008: Sensitivity of the Indian Monsoon to Human Activities, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 932-945.  doi: 10.1007/s00376-008-0932-5
    [16] Yang Xin, Wang Mingxing, Huang Yao, 2001: The Climatic-induced Net Carbon Sink by Terrestrial Biosphere over 1901-1995, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 1192-1206.  doi: 10.1007/s00376-001-0033-1
    [17] 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
    [18] DUAN Wansuo, JIANG Zhina, XU Hui, 2007: Progress in Predictability Studies in China (2003--2006), ADVANCES IN ATMOSPHERIC SCIENCES, 24, 1086-1098.  doi: 10.1007/s00376-007-1086-6
    [19] Odd Helge OTTERA, 2008: Simulating the Effects of the 1991 Mount Pinatubo Volcanic Eruption Using the ARPEGE Atmosphere General Circulation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 213-226.  doi: 10.1007/s00376-008-0213-3
    [20] Lijing CHENG, John ABRAHAM, Kevin E. TRENBERTH, John FASULLO, Tim BOYER, Michael E. MANN, Jiang ZHU, Fan WANG, Ricardo LOCARNINI, Yuanlong LI, Bin ZHANG, Fujiang YU, Liying WAN, Xingrong CHEN, Licheng Feng, Xiangzhou SONG, Yulong LIU, Franco RESEGHETTI, Simona SIMONCELLI, Viktor GOURETSKI, Gengxin CHEN, Alexey MISHONOV, Jim REAGAN, Guancheng LI, 2023: Another Year of Record Heat for the Oceans, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 963-974.  doi: 10.1007/s00376-023-2385-2

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 March 2007
Manuscript revised: 10 March 2007
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

A New Economic Assessment Index for the Impact of Climate Change on Grain Yield

  • 1. National Climate Center, China Meteorological Administration, Beijing 100081,Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; Central University for Nationalities, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081

Abstract: The impact of climate change on agriculture has received wide attention by the scientific community. This paper studies how to assess the grain yield impact of climate change, according to the climate change over a long time period in the future as predicted by a climate system model. The application of the concept of a traditional ``yield impact of meteorological factor (YIMF)" or ``yield impact of weather factor" to the grain yield assessment of a decadal or even a longer timescale would be suffocated at the outset because the YIMF is for studying the phenomenon on an interannual timescale, and it is difficult to distinguish between the trend caused by climate change and the one resulting from changes in non-climatic factors. Therefore, the concept of the yield impact of climatic change (YICC), which is defined as the difference in the per unit area yields (PUAY) of a grain crop under a changing and an envisaged invariant climate conditions, is presented in this paper to assess the impact of global climate change on grain yields. The climatic factor has been introduced into the renowned economic Cobb-Douglas model, yielding a quantitative assessment method of YICC using real data. The method has been tested using the historical data of Northeast China, and the results show that it has an encouraging application outlook.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return