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根据芒果生产与气象条件的关系 ,分析确定了百色地区芒果种植的农业气候区划指标 ,进行了区划指标的小网格点推算 ;采用 GIS技术对百色地区芒果种植区进行农业气候区划 ,划分适宜、次适宜和不适宜种植区 ,提出趋利避害合理发展芒果生产的措施和建议 ,为农业结构调整及芒果的合理布局提供科学依据 相似文献
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据世界气象组织《技术报告》1978年第160期报道,著名阿根廷农业气候学家帕斯卡尔提出世界小麦、大豆农业气候区划划分原则.现摘译如下:区划的划分原则是:1)作物生物气候类型;2)作物源生地的气候型;3)作物种植区的农业气候型;4)试验证明不能种植区的农业气候型;5) 相似文献
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GIS支持下的芒果种植农业气候区划 总被引：11，自引：0，他引：11
根据芒果生产与气象条件的关系，分析确定了百色地区芒果种植的农业气候区划指标，进行了区刊指标的小网格点推算；采用GIS技术对百色地区芒果种植区进行农业气候区划，划分适宜、次适宜和不适宜种植区，提出趋利避害合理发展芒果生产的措施和建议，为农业结构调整及芒果的合理布局提供科学依据。 相似文献
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基于AHP的模糊综合评判在茶叶气候种植区划中的应用 总被引：2，自引：0，他引：2
以信阳毛尖绿茶种植区划为例,运用层次分析法（AHP）确定区划指标的权重,结合模糊综合评判方法,计算出模糊隶属度,并对模糊隶属度进行加权平均,最终得到综合区划指标,从而对信阳毛尖绿茶种植区进行合理的农业气候种植区划。区划结果表明：信阳、固始、商城、新县、鸡公山等地综合指标值大于等于0.60,属于适宜种植区;罗山、光山综合指标值在0.45~0.59之间属于次适宜种植区,该区域信阳毛尖绿茶种植面积较大,但品质略逊于适宜种植区;息县、淮滨、潢川综合指标值小于0.45,属于不适宜种植区,该区域茶叶种植面积小,生产的茶叶品质较差。 相似文献
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GIS支持下的浙江省水稻种植面积遥感估算综合自然区划 总被引：6，自引：0，他引：6
通过对浙江省境内的地形地貌,水稻种植比重,区域农业气候,植被状况等因素进行综合分析,建立了水稻种植面积遥感估算综合自然区划的多层次决策结构模型及其数量关系,并利用地理信息系统的空间分析能力,实现了浙江省水稻种植面积遥感估算的综合自然区划。 相似文献
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LST在农业气候热量区划中的应用方法研究 总被引：6，自引：2，他引：6
根据广西的自然地理特点和现有卫星遥感资料，对国内外10多种反演LST(1and surfacete mperature，陆面温度)的分裂窗算法及其相关的参数估算方法进行了适用性分析。在此基础上找出了适用于计算广西白天LST的算法，并应用该算法计算了晴空条件下的LST，获得了逐日各个时次的LST实况分布。通过模板分析，找到了求算多年LST气候平均图的途径。针对云剔除问题，通过对公共晴空区的统计分析，建立了不同图像间的数值补偿关系，从而有效地消除了云的影响，最终处理生成了广西多年和不同季节的平均LST空间分布图像。分析结果表明：在10km以上的宏观尺度上，广西平均LST的空间分布与平均气温的空间分布规律基本一致，而在1km尺度上，LST的空间特征更为精细、客观，更有利于反映与作物生长关系更为密切的下垫面热量资源的气候分布，是农业气候区划中更为有效的热量区划因子。 相似文献
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E. K. Zoidze T. V. Khomyakova Z. A. Shostak V. G. Sirotenko L. I. Ovcharenko V. A. Sukhareva 《Russian Meteorology and Hydrology》2010,35(8):554-563
Problems of adapting available methods, forms, and approaches to agroclimatic support of the economy under climate change
conditions are under consideration. Development and operation of an automated reference-information system (ARIS) of agricultural
resources, assessment of the environmental bioclimatic potential, and preparation of agroclimatic Atlases (with a reference
to hazardous agroclimatic events) are dealt with. The process of adaptation includes development of such system of agroclimatic
support of the economy, which would adequately reflect the actual state of agroclimatic resources, bioclimatic potential of
the environment, hazardous agroclimatic events, etc., at any prescribed moment, at any point. The problem is supposed to be
solved with a mechanism of agricultural monitoring as one of the methods of agroclimatic support of the economy. 相似文献
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对1971～2006年6～10月北京地区的569个降雹日的灾情进行了分析,以北京地区的地貌特征、冰雹发生的频率、人口密度和奥运场馆所在区域为评价因子,采用模糊数学方法分别计算出不同区域的孕灾环境敏感度、灾害发生的危险性和城市脆弱性三种指数,建立了北京地区奥运期间冰雹灾害风险评估模型,并在此基础上客观地划分等级并利用SURFER软件对数据资料进行图形处理,最后得到了北京地区奥运期间冰雹灾害的风险分级及其区划。 相似文献
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Changing growing season observed in Canada 总被引：1，自引：1，他引：0
It is theoretically interesting for climate change detection and practically important for agricultural producers to know
whether climate change has influenced agroclimatic conditions and, if so, what the potential impacts are. We present analyses
on statistical differences in means and variances of agroclimatic indices between three 30-year periods in the 20th century
(i.e., 1911–1940, 1941–1970 and 1971–2000). We found many occurrences of statistically significant changes in means between
pairs of the three 30-year periods. The findings consistently support agroclimatic trends identified from trend analysis as
an earlier growing season start and an earlier end to spring frost (SF), together with an extended growing season, more frost-free
days (FFD) and more available heat units were often found in the later 30-year periods as compared to the earlier ones. In
addition, this study provides more detailed quantitative information than the trend signals for the practical interests of
agricultural applications. Significant changes were detected for SF and FFD at a much larger percentage of stations between
the latter two 30-year periods (1941–1970 vs. 1971–2000) as compared to the earlier two periods (1911–1940 vs. 1941–1970).
In contrast, changes in variances of the selected agroclimatic indices were less evident than changes in their means, based
on the percentage of stations showing significant differences. We also present new climate averages of the selected agroclimatic
indices that can be useful for agricultural planning and management. 相似文献
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Miroslav Trnka Josef Eitzinger Daniela Semer��dov�� Petr Hlavinka Jan Balek Martin Dubrovsky Gerhard Kubu Petr ?t��p��nek Sabina Thaler Martin Mo?ny Zden��k ?alud 《Climatic change》2011,108(1-2):261-289
During the past few decades, the basic assumption of agroclimatic zoning, i.e., that agroclimatic conditions remain relatively stable, has been shattered by ongoing climate change. The first aim of this study was to develop a tool that would allow for effective analysis of various agroclimatic indicators and their dynamics under climate change conditions for a particular region. The results of this effort were summarized in the AgriClim software package, which provides users with a wide range of parameters essential for the evaluation of climate-related stress factors in agricultural crop production. The software was then tested over an area of 114,000 km2 in Central Europe. We have found that by 2020, the combination of increased air temperature and changes in the amount and distribution of precipitation will lead to a prolonged growing season and significant shifts in the agroclimatic zones in Central Europe; in particular, the areas that are currently most productive will be reduced and replaced by warmer but drier conditions in the same time the higher elevations will most likely experience improvement in their agroclimatic conditions. This positive effect might be short-lived, as by 2050, even these areas might experience much drier conditions than observed currently. Both the rate and the scale of the shift are amazing as by 2020 (assuming upper range of the climate change projections) only 20?C38% of agriculture land in the evaluated region will remain in the same agroclimatic and by 2050 it might be less than 2%. On the other hand farmers will be able to take advantage of an earlier start to the growing season, at least in the lowland areas, as the proportion of days suitable for sowing increases. As all of these changes might occur within less than four decades, these issues could pose serious adaptation challenges for farmers and governmental policies. The presented results also suggest that the rate of change might be so rapid that the concept of static agroclimatic zoning itself might lose relevance due to perpetual change. 相似文献
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In this article the theoretical method to determine the optimum seeding time of wheat and maize isestablished.For wheat,it is based on the close relationship between accumulated temperature and numberof leaves on the main stalk as well as number of stalks per plant of wheat,and for maize,based on theclimatic potential productivity model of maize.Using these models,we found that the optimum seeding time should be,for winter wheat,decided byaccumulated temperature from seeding date to the beginning of dormancy,and for maize,postponed forabout 30 days for medium variety and about 50 days for early variety in contrast with traditional seedingtime.Besides,through analysing climatic data the agroclimatic pattern of optimum seeding time for bothcrops in Beijing area has been found as well. 相似文献
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基于Citystar地理信息系统的气候资源信息服务系统,是气候资源统计推算和数值模拟结果的显示、查询及服务的平台.利用该系统可查询任一网格点的气候要素值,检索作物气象指标、地理信息及农业统计信息等,快速制作作物种植区划.该系统已用于北京郊区结构调整和农业新功能的开发工作中,为各级领导、农业生产主管部门制定农业结构调整及旅游资源、气候资源开发利用等规划决策提供科学的参考依据. 相似文献