张继红,刘云鹤,王全九,苏李君,郭毅,王康.典型作物Logistic模型生长参数空间分布及其地区水热相关性[J].干旱地区农业研究,2021,39(5):199~209
典型作物Logistic模型生长参数空间分布及其地区水热相关性
Typical crops’ spatial variability of Logistic model parameters and its correlation with regional water and heat
  
DOI:10.7606/j.issn.1000-7601.2021.05.26
中文关键词:  Logistic模型  典型作物  生长参数  空间分布  降雨量  活动积温
英文关键词:Logistic model  typical crops  growth parameters  spatial variation  precipitation  activity accumulated temperature
基金项目:国家重点研发计划(2016YFC0501405-4);国家自然科学基金重点项目(41830754);新疆维吾尔自治区水利专项(2020.D-001)
作者单位
张继红 State Key Laboratory of Eco\|hydraulics in Northwest Arid Region of ChinaXi’an University of TechnologyXi’an, Shaanxi 710048China 
刘云鹤 State Key Laboratory of Eco\|hydraulics in Northwest Arid Region of ChinaXi’an University of TechnologyXi’an, Shaanxi 710048China 
王全九 State Key Laboratory of Eco\|hydraulics in Northwest Arid Region of ChinaXi’an University of TechnologyXi’an, Shaanxi 710048China 
苏李君 State Key Laboratory of Eco\|hydraulics in Northwest Arid Region of ChinaXi’an University of TechnologyXi’an, Shaanxi 710048China 
郭毅 State Key Laboratory of Eco\|hydraulics in Northwest Arid Region of ChinaXi’an University of TechnologyXi’an, Shaanxi 710048China 
王康 State Key Laboratory of Eco\|hydraulics in Northwest Arid Region of ChinaXi’an University of TechnologyXi’an, Shaanxi 710048China 
摘要点击次数: 300
全文下载次数: 197
中文摘要:
      为明确作物生长模型——Logistic模型参数的空间变异特征,本文以冬小麦、夏玉米、水稻和新疆棉花作为典型作物,以作物株高、叶面积指数和干物质积累量作为生长指标,研究各生长指标的全相对化Logistic模型参数的空间分布情况,进一步分析该模型参数与地区多年平均降雨量、多年平均活动积温的相关关系。结果表明,4种典型作物全相对化Logistic模型参数变异系数均大于0.20,属于强变异性,空间分布具有明显的地带性,主要表现为:冬小麦的叶面积指数模型参数表现为黄河中下游地区大于新疆地区;夏玉米的叶面积指数模型参数表现为自沿海向内陆先增大、后减小的变化特征;水稻的干物质积累量模型参数表现为自西南向东北先减小、后增加的规律;新疆棉花的株高模型参数表现为西北小、东南大,且新疆中部地区存在极大值。全相对化Logistic模型参数与地区多年平均降雨量和多年平均活动积温间均具有显著或极显著的正相关关系,其相关系数r均介于0.3和0.6之间,即各地区模型参数的大小与该地区降雨量和温度相关。
英文摘要:
      Identifying the spatial distribution characteristics of the parameters in the crop growth model and the main factors affecting the parameters in each region are of great significance to accurately simulate the crop growth indicators and predicte the crop yield. In this study, winter wheat, summer maize, rice, and Xinjiang cotton were used as four typical crops, and crop height, leaf area index, and dry matter accumulation were served as three growth indicators. The spatial distribution of the parameters of the fully relative Logistic model of each crop index was studied in order to identify the spatial variability of each parameter.The correlation between model parameters and meteorological factors was further analyzed. The results showed that the coefficient of variation (C.V.) of four typical crops’ total relative Logistic model parameters were all greater than 0.20, which belonged to strong variability. The spatial distribution had obvious zonality. The parameters of Logistic model for the leaf area index of winter wheat in the middle and lower reaches of the Yellow River were larger than those of Xinjiang, and the parameters of summer maize increased first and then decreased from coastal to inland. The parameters of Logistic model for dry matter accumulation of rice decreased first and then increased from southwest to northeast, and the parameters of Logistic model for plant height of cotton in Xinjiang were small in northwest and large in southeast. There was a significant or extremely significant positive correlation between the parameters of the full relative Logistic model and the average annual rainfall and the average annual accumulated temperature. The correlation coefficients r was between 0.3 and 0.6, meaning the size of the model parameters in each region was related to the rainfall and temperature in this region.
查看全文  查看/发表评论  下载PDF阅读器