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我国气候对植被分布和净初级生产力影响的数值模拟 被引量:24
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作者 梁妙玲 谢正辉 《气候与环境研究》 CSCD 北大核心 2006年第5期582-592,共11页
基于0.5°×0.5°经纬网格分辨率的一个全球植被动态模式,利用全国676个雨量站点1961~2000年日资料在0.5°×0.5°网格上插值得到的降水和气温资料作为模式气候强迫,模拟研究了中国区域近40年来的植被动态变化... 基于0.5°×0.5°经纬网格分辨率的一个全球植被动态模式,利用全国676个雨量站点1961~2000年日资料在0.5°×0.5°网格上插值得到的降水和气温资料作为模式气候强迫,模拟研究了中国区域近40年来的植被动态变化,估算了当前中国区域陆地植被净初级生产力,并分析气候与植被净初级生产力的相关性。结果表明:模拟的植被分布时空格局与实际观测的对应关系良好,模拟与观测的叶面积指数总体上比较一致;植被初级生产力空间分布及总量(约为4.64×1015g.a-1(C))的模拟比较理想。对模拟结果分析显示降水是影响净初级生产力的主要气候因子,而在干旱、半干旱地区温度与植被净初级生产力存在显著负相关关系。研究表明该模式能够比较合理地模拟气候对植被年际动态和生产力变化的影响,对于进一步深入研究气候与植被相互作用是有意义的。 展开更多
关键词 植被动态 植被分布 叶面积指数净 初级生产力
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Growth and yield of rice as affected by transplanting dates and seedlings per hill under high temperature of Dera Ismail Khan, Pakistan 被引量:3
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作者 BALOCH Mohammad Safdar AWAN Inayat Ullah HASSAN Gul 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2006年第7期572-579,共8页
Studies were initiated for two consecutive years to find out the effect of time of transplanting and seedlings hill^-l on the productivity of rice in Dera Ismail Khan district of North West Frontier Province (NWFP),... Studies were initiated for two consecutive years to find out the effect of time of transplanting and seedlings hill^-l on the productivity of rice in Dera Ismail Khan district of North West Frontier Province (NWFP), Pakistan. The experiment was laid out in a randomized complete block design with split plot arrangements. Main plots consisted of four transplanting dates viz. 20th and 27th of June and 4th and 1 lth of July while sub-plots contained 1, 2, 3 or 4 seedlings hill^-1. Among transplanting dates, June 20th planted crop gave highest paddy yield and net return with I seedling hill^-1. It explains that the use of more seedlings hill^-1 not only adds to cost but is also a mere wastage of natural resources. Based on research findings, we conclude that the use of I seedling hill^-1 is most appropriate for timely sowing otherwise 4 seedlings hill^-1 should be used to compensate for the yield gap in late transplanted rice. 展开更多
关键词 RICE Transplanting time SEEDLINGS Yield Leaf area index Net assimilation rate
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Effect of climate change on seasonal water use efficiency in subalpine Abies fabri 被引量:4
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作者 SUN Xiang-yang WANG Gen-xu +2 位作者 HUANG Mei HU Zhao-yong SONG Chun-lin 《Journal of Mountain Science》 SCIE CSCD 2017年第1期142-157,共16页
Abies fabri is a typical subalpine dark coniferous forest in southwestern China. Air temperature increases more at high elevation areas than that at low elevation areas in mountainous regions,and climate change ratio ... Abies fabri is a typical subalpine dark coniferous forest in southwestern China. Air temperature increases more at high elevation areas than that at low elevation areas in mountainous regions,and climate change ratio is also uneven in different seasons. Carbon gain and the response of water use efficiency(WUE) to annual and seasonal increases in temperature with or without CO_2 fertilization were simulated in Abies fabri using the atmospheric-vegetation interaction model(AVIM2). Four future climate scenarios(RCP2.6,RCP4.5,RCP6.0 and RCP8.5) from the Coupled Model Intercomparison Project Phase 5(CMIP5) were selectively investigated. The results showed that warmer temperatures have negative effects on gross primary production(GPP) and net primary production(NPP) in growing seasons and positive effects in dormant seasons due to the variation in the leaf area index. Warmer temperatures tend to generate lower canopy WUE and higher ecosystem WUE in Abies fabri. However,warmer temperature together with rising CO_2 concentrations significantlyincrease the GPP and NPP in both growing and dormant seasons and enhance WUE in annual and dormant seasons because of the higher leaf area index(LAI) and soil temperature. The comparison of the simulated results with and without CO_2 fertilization shows that CO_2 has the potential to partially alleviate the adverse effects of climate warming on carbon gain and WUE in subalpine coniferous forests. 展开更多
关键词 Climate change Carbon gain Water use efficiency Atmospheric-vegetation interaction model
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