Global sowing and harvesting windows of major crops

Using daily weather data for the period 1996–2005 as the inputs to a rule-based model, we derive calendars for maize, rice, winter and spring wheat and soybeans around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. Winter and spring wheat and rainfed versus irrigated conditions are differentiated. Separate calendars for rainfed and irrigated conditions and three representative varieties (short-, medium- and long-season varieties) are estimated. The daily probabilities of sowing and harvesting derived using the model can be converted into sowing and harvesting windows, respectively, with user-defined thresholds.

本研究以1996—2005年的逐日气象数据作为基于规则的模型（rule-based model）的输入变量，针对2000年前后的玉米、水稻、冬小麦、春小麦及大豆作物，构建了经纬度空间分辨率均为0.5°的作物物候历。本数据集区分了冬小麦、春小麦的雨养与灌溉种植条件。针对雨养、灌溉两种种植模式，以及短生育期、中生育期、长生育期三类典型品种，分别估算得到对应的作物物候历。通过该模型推导得到的逐日播种与收获概率，可结合用户自定义阈值分别转换为播种窗口与收获窗口。