不同CO2浓度变化下干旱对冬小麦叶面积指数的影响差异
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北京师范大学减灾与应急管理研究院,地表过程与资源生态国家重点实验室,北京师范大学减灾与应急管理研究院,地表过程与资源生态国家重点实验室,中国科学院地理科学与资源研究所,地表过程与资源生态国家重点实验室

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国家自然科学基金项目(NSFC41171403);国家科技支撑计划课题(2012BAH29B02);长江学者和创新团队发展计划资助(PCSIRT)


The difference of drought impacts on winter wheat leaf area index under different CO2 concentration
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Academy of Disaster Reduction and Emergency Management MOCA/MOE, Beijing Normal University,,Academy of Disaster Reduction and Emergency Management MOCA/MOE, Beijing Normal University,,,

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    摘要:

    叶面积指数是作物生长状况的一个重要表征参数,也是研究陆地生态系统的一个重要的参数.当今世界温室气体排放逐年上升,气候变暖趋势明显,对气候变化敏感的农业将受到影响.在全球变化的背景下,采用农业技术转移决策支持系统(DSSAT)系统,通过在黄淮海平原典型站点模拟3种CO2浓度条件下冬小麦在水分充足和水分亏缺2种情境下的生长过程,分析不同CO2浓度下水分亏缺对冬小麦叶面积指数的影响差异.研究发现,CO2浓度升高对叶面积指数增长有促进作用,且在干旱情况下对叶面积指数的正效应比湿润情况下更为明显,在CO2浓度倍增条件下,发生水分亏缺的作物叶面积指数数倍增长.研究结论有助于分析CO2浓度变化对农作物生长过程的影响,为农田水分管理提供依据,又为估算叶面积指数提出了一种模型的方法.

    Abstract:

    The leaf area index (LAI) controls a variety of biophysical and physiological processes of vegetation canopy, such as photosynthesis, respiration, transpiration, carbon cycle, precipitation interception and energy exchange, thus it is an important parameter for characterizing crop growth as well as studying terrestrial ecosystems. In recent years, with the continuous increase of greenhouse gas emissions, the whole globe has gone through an intensifying warming trend. Up to now, a large number of agricultural experiments, such as Free Air CO2 Enrichment, (FACE) and Open-Top-Chamber(OTC), show that elevated CO2 concentration will cause reduced plant transpiration rate, strengthened stomatal resistance and a significant increase in water use efficiency. Agriculture, which is quite sensitive to climate change, will be significantly affected under the context of global warming. In this paper, the Decision Support System for Agrotechnology Transfer (DSSAT) developed by the U.S. Department of Agriculture is used to simulate the growth process of winter wheat under three different CO2 concentrations combined with water deficiency and adequacy status. The observed experimental data over 2007-2008 is from Gucheng Ecology and Agricultural Experiment Station, Chinese Academy of Meteorological Sciences. Using DSSAT, the impacts of environmental CO2 concentration change on crop LAI are analyzed. The results indicate that elevated CO2 concentration will strengthen the leaf area index growth, with more significant positive effects on LAI under drought condition (water supply:150mm) than under the wet condition (water supply: 620mm), At current CO2 level, crop LAI under water deficiency condition is significantly less than that under wet condition; when the CO2 concentration is increased by 20%, the difference of LAI under dry and wet conditions declined slightly; when the CO2 concentration is doubled, the maximum of LAI under wet conditions increased by 0.31 and LAI under the water deficiency increased by 0.82, which leads to the conclusion that crop LAI under water deficit condition increased several times at doubled CO2 level. Contrast to both concentrations of water deficit and sufficient, when CO2 concentration doubled, it is significantly alleviate the adverse effects of leaf area index in the water deficit condition. Over time series, the change of LAI is very small when CO2 concentration changed before returning green stage (about 130 days after planting). However, the influences of CO2 concentration change on crop LAI become significant after returning green stage. Also, there is another study which shows that the combination of elevated CO2 concentration and drought stress can increase the air and canopy temperature, offsetting the fertilizer effect of elevated CO2 concentration. The study facilitates the analysis of the impacts of CO2 concentration changes on crop growth process, which can provide the basis for the agricultural water management and propose a model approach for estimating LAI.

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李小涵,武建军,吕爱锋,刘明.不同CO2浓度变化下干旱对冬小麦叶面积指数的影响差异.生态学报,2013,33(9):2936~2943

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