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Modeling crop spatial patterns and their phenological calendars using geographical factors — A case study in Northwest China

机译:利用地理因素模拟作物空间格局及其物候日历-以中国西北地区为例

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Crop growth has strong regional and phenological properties. This study was aiming to test the capability of modeling crops spatial pattern and their phenological calendars based on geographical factors. Study area was located in a mountainous middle to north-western transition zone of China. Agrometeorological data was critical research material which provided local actual cropping system and their phenologies records. We focused on the temperature response of crop regional patterns and their phenological phases; multiple regression models were established based on agrometeorological records against geographical factors (latitude, longitude, and altitude). Geographical information system (GIS) was employed to execute the regression models to simulate a raster surface. Result showed that goodness-of-fit of prediction are satisfactory except for minor circumstances, which demonstrates that the feasibility and deficiency when using regression model-based statistical methodology. Further study should be focus on crop growth simulation model and remote sensing to advance the research in crop phenology.
机译:作物生长具有很强的区域和物候特性。这项研究旨在测试基于地理因素对作物空间格局及其物候日历进行建模的能力。研究区域位于中国中西部向西北部的山区过渡带。农业气象数据是重要的研究材料,提供了当地的实际种植系统及其物候记录。我们专注于作物区域格局及其物候阶段的温度响应。基于农业气象记录针对地理因素(纬度,经度和海拔)建立了多个回归模型。地理信息系统(GIS)用于执行回归模型以模拟栅格表面。结果表明,除少数情况外,预测的拟合优度都令人满意,这表明使用基于回归模型的统计方法时的可行性和不足性。进一步的研究应集中在作物生长模拟模型和遥感上,以促进作物物候学的研究。

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