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Using a process-oriented methodology to precisely evaluate temperature suitability for potato growth in China using GlS

机译:使用面向过程的方法,使用GlS精确评估温度对中国马铃薯生长的适宜性

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摘要

A process-oriented methodology to conduct precise evaluation temporally and spatially on temperature suitability for potato growth was applied in China. Arable lands in China were gridded with 1 km×1 km geographic units, and potential potato phenology in each unit was automatically identified in terms of the potato planting initial temperature and effective accumulated temperature. A temperature thermal response coefficient model was used to compute a temperature suitability value for each day of potato phenology in each geographic unit. In addition, five temperature suitability ranking methods were applied to define suitable areas: (1) upper fourth quantile, (2) median, (3) expected value+1/4 standard deviation, (4) expected value+1/2 standard deviation, (5) expected value+1 standard deviation. A validation indicator was innovated to test the effectiveness of the five ranking methods. The results showed that from a strict degree point of view, the five methods sequence was as follows: 1=3>4>2>5, with a and c determined as the two best ranking methods. For methods 1 and 3, the suitable potato growing area was 1 of 57.76×104 km2. In addition, the suitable areas were spatially coincident with the main potato producing counties. The study output technically supports the proposal from China''s government that there is a large potential area to grow winter-ploughed potato in South China because the potential suitable area for growing potato is approximately 2×107 ha. In southeast Heilongjiang and east Jilin, where it is hilly and mountainous, there are still some potentially suitable areas for potato growing accounting for nearly 2.32×106 ha. The authors suggest to optimize the agricultural regionalization and layout in China and to adjust the cropping pattern structure.
机译:在中国采用了一种以过程为导向的方法,可以在时间和空间上对马铃薯的温度适宜性进行精确评估。将中国的耕地划分为1 km×1 km的地理单位,并根据马铃薯种植的初始温度和有效积温自动识别每个单元中潜在的马铃薯物候。使用温度热响应系数模型来计算每个地理单位中马铃薯物候的每一天的温度适用性值。此外,应用了五种温度适应性排名方法来定义合适的区域:(1)上四分位数,(2)中位数,(3)期望值+1/4标准偏差,(4)期望值+1/2标准偏差,(5)期望值+1标准偏差。创新了验证指标以测试五种排名方法的有效性。结果表明,从严格的角度来看,这五种方法的顺序如下:1 = 3> 4> 2> 5,其中a和c被确定为两种最佳排序方法。对于方法1和3,合适的马铃薯种植面积为57.76×104 km2中的1个。此外,适宜的区域与马铃薯主产县在空间上重合。研究结果从技术上支持了中国政府的建议,即华南地区有很大的潜力种植冬耕马铃薯,因为马铃薯的潜在适宜种植面积约为2×107公顷。在黑龙江东南部和吉林东部多山多山的地区,仍有一些潜在的马铃薯适宜种植区,占近2.32×106公顷。作者建议优化中国的农业区域化和布局,并调整种植模式结构。

著录项

  • 来源
    《农业科学学报(英文版)》 |2017年第7期|1520-1529|共10页
  • 作者单位

    Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Science, Beijing 100081, P.R.China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.China;

    Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Science, Beijing 100081, P.R.China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.China;

    Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Science, Beijing 100081, P.R.China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.China;

    School of Management, Tianjin Polytechnic University, Tianjin 300387, P.R.China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:23:58
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