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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (9): 247-251.doi: 10.11924/j.issn.1000-6850.2014-1811

所属专题： 水稻； 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于MaxEnt模型湖南双季稻种植气候适宜性分布研究

谢佰承1,2,杜东升3,陆魁东1,段居琦4,刘富来1   

  1. (1湖南省气象科学研究所,长沙 410118；2西北农林科技大学理学院,陕西杨凌 712100；3湖南省气候中心,长沙 410118；4国家气候中心,北京 100081）
  • 收稿日期:2014-06-30 修回日期:2015-01-27 接受日期:2014-08-18 出版日期:2015-04-07 发布日期:2015-04-07
  • 通讯作者: 谢佰承
  • 基金资助:
    中国气象局公益性行业（气象行业）科研专项“超级稻超高产栽培气象保障技术研究”(GYHY201206020)。

Research on Double Rice Climatic Suitability Planting Regions Based on MaxEnt Model in Hunan

Xie Baicheng1,2, Du Dongsheng3, Lu Kudong1, Duan Juqi4, Liu Fulai1   

  1. (1Institute of Meteorology Science of Hunan Province, Changsha 410118;2College of Science, Northwest A & F University, Yangling Shaanxi 712100;3Hunan Province Climate Center, Changsha 410118;4National Climate Center, Beijing 100081)
  • Received:2014-06-30 Revised:2015-01-27 Accepted:2014-08-18 Online:2015-04-07 Published:2015-04-07

摘要： 通过查阅了相关文献资料，选取了适宜湖南水稻种植分布8个潜在的气候因子和湖南17个双季稻农业气象观测站点位置信息，利用MaxEnt模型，构建了湖南杂交水稻潜在种植分布与气候因子关系模型，得出影响湖南水稻种植的主要气候因子，以及湖南水稻适宜性种植分布区域。结果表明：10~22℃活动积温、4—10月日照时数、稳定通过22℃持续日数、4—10月降水量为影响种植湖南双季杂交稻主导气候因子。并进一步通过得到的主导气候因子，采用MaxEnt模型再次进行湖南双季杂交水稻适宜种植性分区，将湖南省双季稻制种植分布划分为：最适宜区、适宜区、低适宜区和不适宜区。本研究的主要目的是在省级层面上利用MaxEnt模型筛选影响湖南水稻种植主导气象因子，并对湖南水稻适宜性种植分布做了不同等级划分，为优化湖南双季杂交稻生产布局、改进种植制度和确保粮食生产安全提供了一定气象参考依据。

关键词: 有机复合栽培基质, 有机复合栽培基质, 普通小麦肥, 小麦穗长, 穗数, 产量, 增长

Abstract: The paper aims to explore the potential climatic factors of rice planting. 17 rice conservation stations’ geographical information was taken as analysis sample and the relationship model between rice planting distribution and environment factors were established according to the maximum entropy model and GIS software, to discuss the rice climatic suitability planting distribution and define the influencing climatic factors. The result showed that: accumulated temperature from 10 to 22℃, sunshine duration from April to October, days of no less than 22℃ stably and annual precipitations from April to October were major influencing factors of double rice planting distribution. Furthermore, the author used these critical factors and MaxEnt model to divide the climatic suitability of potential double rice planting regions into four levels: optimum area, suitable area, less suitable area and unsuitable area. The climatic factors affecting double rice planting were discussed in the scale of province. The study could provide reference for reasonable use of climatic resources, scientific planning of double rice planting and policy making in coping with the climate change.