共查询到19条相似文献,搜索用时 62 毫秒
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该文从大气-作物-土壤系统出发,建立了贵州省粮食作物综合生产潜力模式,提出了作物增产潜力指数的概念,分析了在现实条件下和未来条件下作物生态气候增产潜力前景。 相似文献
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提出热是区的概念,指出三江平原和松嫩平原同属一个热量区,可以发展玉米、水稻等高产作物;又估算了全省最大气候生产潜力,旨出2000年前只要增加投入,再增75亿公斤粮食是可能的;到2010年要再增加250亿公斤粮食,单靠增加单产是不行的,必须扩大现有耕地面积。 相似文献
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本文就朔州市2000年降水不多而粮食获得丰收,分析了年内4-9月光、热、水对农作物的利弊影响,提出了预报服务中应重视作物关键生育期的天气预报,以利于农业生产巧用天时,趋利避害,夺取丰收。 相似文献
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1 天麻种植的生态气候条件1 .1 菌 天麻必须与萌发菌和蜜环菌共生 ,即天麻胚胎 (早期生长 )靠萌发菌来培养 ,当胚胎形成后必须靠蜜环菌共生。因此种植天麻首先要选优质萌发菌和蜜环菌 ,菌优麻长得大 ,产量高 ;菌弱天麻瘦少 ,产量低 ,甚至空窝。1 .2 温度 天麻喜凉爽环境 ,最适宜生长温度1 0~ 2 5℃ ,8℃开始萌动生长 ,3 0℃就会停止生长。超过 3 0℃时蜜环菌和天麻生长受到抑制。1 .3 湿度 天麻喜湿润 ,它适宜生长在疏松的砂质土壤中 ,腐殖土含水量达 5 %0~ 6 0 %,天麻生长良好。土壤湿度过大会引起块茎腐烂。1 .4 光照 天麻从种… 相似文献
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毕节地区发展畜牧养殖业的气候资源条件分析及分区探讨 总被引:1,自引:0,他引:1
分析毕节地区气候资源和牧草、饲料的关系,找出发展畜牧养殖业的气候资源优势,以气候资源为主要依据,在考虑牧草地状况、饲料来源和社会因素的前提下进行畜牧气候资源分区,为畜牧业的规划和健康发展提供参考依据. 相似文献
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攀枝花市旅游气候资源分析及开发建议 总被引:3,自引:0,他引:3
利用攀枝花市长年代、高质量的气象观测资料,分析了攀枝花的气候特点,把分析结果与一些著名旅游城市比较,发现攀枝花市“冬暖”得天独厚,它是本地区旅游业开发的主要自然资源之一。然后,为了使旅游业成为近期本市经济的一个快速增长点,必须大力发展特色旅游。从长远的观点看,为了使全市旅游业可持续发展,在发展生态观光旅游的时候,我们必须加强生态环境保护和建设,那么未来攀枝花市的社会经济发展与自然资源环境将进入良性循环,从而找到具有攀枝花市特点和旅游发展模式。 相似文献
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利用攀枝花市长年代、高质量的气象观测资料,分析了攀枝花的气候特点,把分析结果与一些著名旅游城市比较,发现攀枝花市"冬暖"得天独厚,它是本地区旅游业开发的主要自然资源之一.然而,为了使旅游业成为近期本市经济的一个快速增长点,必须大力发展特色旅游.从长远的观点看,为了使全市旅游业可持续发展,在发展生态观光旅游的时候,我们必须加强生态环境保护和建设,那么未来攀枝花市的社会经济发展与自然资源环境将进入良性循环,从而找到具有攀枝花市特点的旅游发展模式. 相似文献
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黎平县在2005年的小区对比示范和2006年的大区示范推广均取得成功.通过2a的气候跟踪调查和定点观测显示,超级稻的产量除了品种的固有特性和栽培水平外,还与黎平气候条件有着密切的关系.根据当地气候条件,最好种植在海拔600m以下的地区. 相似文献
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利用习水1959年以来年、季降水等资料,对习水县降水的长期变化趋势和年际变化作较全面的分析,并作出未来5年内的降水趋势预测,为水资源可持续开发利用提供科学依据. 相似文献
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分析研究习水县气候特点与黔北麻羊养殖之间的关系,总结出当地影响麻羊养殖的有利和不利的气候条件,为发展当地麻羊养殖提供重要的参考依据。 相似文献
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Carlos E. Maytín Miguel F. Acevedo Ramón Jaimez Rigoberto Andressen Mark A. Harwell Alan Robock Aura Azócar 《Climatic change》1995,29(2):189-211
Simulated impacts of global and regional climate change, induced by an enhanced greenhouse effect and by Amazonian deforestation, on the phenology and yield of two grain corn cultivars in Venezuela (CENIAP PB-8 and OBREGON) are reported. Three sites were selected:Turén, Barinas andYaritagua, representing two important agricultural regions in the country. The CERES-Maize model, a mechanistic process-based model, in theDecision Support System for Agrotechnology Transfer (DSSAT) was used for the crop simulations. These simulations assume non-limiting nutrients, no pest damage and no damage from excess water; therefore, the results indicate only the difference between baseline and perturbed climatic conditions, when other conditions remain the same. Four greenhouse-induced global climate change scenarios, covering different sensitivity levels, and one deforestation-induced regional climate change scenario were used. The greenhouse scenarios assume increased air temperature, increased rainfall and decreased incoming solar radiation, as derived from atmospheric GCMs for doubled CO2 conditions. The deforestation scenarios assume increased air temperature, increased incoming solar radiation and decreased rainfall, as predicted by coupled atmosphere-biosphere models for extensive deforestation of a portion of the Amazon basin. Two baseline climate years for each site were selected, one year with average precipitation and another with lower than average rainfall. Scenarios associated with the greenhouse effect cause a decrease in yield of both cultivars at all three sites, while the deforestation scenarios produce small changes. Sensitivity tests revealed the reasons for these responses. Increasing temperatures, especially daily maximum temperatures, reduce yield by reducing the duration of the phenological phases of both cultivars, as expected from CERES-Maize. The reduction of the duration of the kernel filling phase has the largest effect on yield. Increases of precipitation associated with greenhouse warming have no effects on yield, because these sites already have adequate precipitation; however, the crop model used here does not simulate potential negative effects of excess water, which could have important consequences in terms of soil erosion and nutrient leaching. Increases in solar radiation increased yields, according to the non-saturating light response of the photosynthesis rate of a C4 plant like corn, compensating for reduced yields from increased temperatures in deforestation scenarios. In the greenhouse scenarios, reduced insolation (due to increased cloud cover) and increased temperatures combine to reduce yields; a combination of temperature increase with a reduction in solar radiation produces fewer and lighter kernels.A report of thePAN-EARTH Project, Venezuela Case Study. 相似文献