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利用交叉信息熵模拟东北地区水稻种植面积空间分布
  • ISSN号:1002-6819
  • 期刊名称:农业工程学报
  • 时间:2013.9.1
  • 页码:96-104
  • 分类:S127[农业科学—农业基础科学]
  • 作者机构:[1]农业部农业信息技术重点实验室,北京100081, [2]中国农业科学院农业资源与农业区划研究所,北京100081, [3]International Food Policy Research Institute (IFPRI), Washington DC, 20006, USA, [4]中山大学地理科学与规划学院,广州510275
  • 相关基金:全球变化研究国家重大科学研究计划项目(2010CB951502); 国家自然科学基金项目(41171328); 中央级公益性科研院所专项资金(2013-16); 农业部农业信息技术重点实验室开放课题(2012010)共同资助
  • 相关项目:基于交叉信息熵理论的我国东北地区农作物空间分布研究
中文摘要:

作物时空分布变化是农业研究的重要内容。近30a来,东北地区水稻种植面积显著增加,为探讨东北地区水稻时空变化特征,进一步丰富和完善作物空间分布信息获取方法,研究作物空间分布对包括气候变化在内的多种影响因素的响应关系,该研究综合80年代以来的作物面积与产量统计数据、耕地数据、农业灌溉数据以及作物生长适宜性分布等多源数据,利用基于交叉信息熵原理的作物空间分配模型(spatial production allocation model,SPAM)构建了针对中国作物分布特点的SPAM-China模型,模拟了中国东北地区1980-2008年像元尺度上水稻空间分布信息。结果表明,模拟结果能较好地反映出东北地区水稻主要种植区域,近30a东北地区水稻种植时空变化特征显著,水稻种植区域向北向东扩展,种植重心北移了约1.76个纬度,中北部地区水稻种植面积增加且趋势明显,南部地区变化趋势不显著。

英文摘要:

The crop’s spatial-temporal pattern is critical to many agricultural studies. In the last 30 years, the rice area in Northeast China increased significantly, and has become one of the major rice producing regions in China. To explore the rice spatial-temporal change characteristics and enrich the crop spatial distribution information acquisition methods, this study combined such multi-source datasets as agricultural statistics data, cropland data, irrigation map and crop suitability, and uses a crop spatial distribution model SPAM (Spatial Production Allocation Model) which has been based on the cross-entropy theory and applied successfully in Brazil and Africa. We further modified the model and applied it to China, and named it SPAM-China. This model mainly has four modules that include a data consistency processing module which makes the multisource data a better spatial match, an agricultural statistical data input module, and a multisource data discrimination module that uses GAMS to optimize the procedure and improve the efficiency of the model, and a result output module. With the SPAM-China model, the study simulates the rice spatial distribution of Northeast China on the pixel scale in the past 30 years (1980-2008) and obtains four rice distribution maps. The result shows that the model has a better capacity to simulate rice spatial distribution, and can reflect the main rice cultivation region and temp-spatial change characteristics. In the last 30 years, rice spatial distribution change characteristics were very significant. The rice cultivation area obviously increased, and the cultivation region constantly expanded northeastward. Rice cultivation gravity was northward about 1.76 latitude (140 km) in the nearest 30 years, but the rice cultivation gravity of 2008 is southward about 0.23 latitude (16km) than that of 2000. The rice area rose sharply and has a distinct upward trend in the middle and north of this area, where the north region has the most significant increasing trend. Sanj

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期刊信息
  • 《农业工程学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国农业工程学会
  • 主编:朱明
  • 地址:北京朝阳区麦子店街41号
  • 邮编:100125
  • 邮箱:tcsae@tcsae.org
  • 电话:010-59197076 59197077 59197078
  • 国际标准刊号:ISSN:1002-6819
  • 国内统一刊号:ISSN:11-2047/S
  • 邮发代号:18-57
  • 获奖情况:
  • 百种中国杰出学术期刊,中国精品科技期刊,中国科协精品科技期刊工程项目期刊,RCCSE中国权威学术期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国食品科技文摘,中国北大核心期刊(2000版)
  • 被引量:93231