寒冷天气作物适宜性模型

Kamille Lemieux, Nana-Agyei O. Afriyie, Shane Furze, Patrick Toner, Paul A. Arp
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摘要

本文介绍了ArcGIS Pro工作流程的结果,旨在对新不伦瑞克省(NB)在1米高程分辨率下从0%到100%的寒冷天气作物适应性进行评级和绘图。该评级考虑了土壤条件(质地、粗粒、深度、钙质、排水、坡度)、生长程度天数(GDD)和无霜期天数(FFD)在田间到跨地区的变化。如此产生的评级反映了农场和农场/林地财产评估价值的很大一部分,因为这些价值也因面积和建筑足迹而异。虽然土壤的质地、粗粒、深度和钙质属性因NB土壤关联测绘单元而异,但田间适用性也因坡度从平坦到陡峭而异,也因排水而异,因为它通过深度到水(DTW)从非常差到差、不完美、中等、良好和过度而与地形相关。标记为1.5 - 10%的地区由于坡面增加的土壤侵蚀和可通行性风险,适合度低或不适合。整个NB的生长度数和无霜期天数被认为足以在寒冷天气种植,除了在高海拔地区略微如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cold-Weather Crop Suitability Modelling
This article presents ArcGIS Pro workflow results aimed at rating and mapping cold-weather crop suitability from 0% to 100% at 1-m elevation resolution for the Province of New Brunswick (NB). This rating accounts for variations by soil conditions (texture, coarse fragments, depth, calcareousness, drainage, slope), growing degree days (GDD) and frost-free days (FFD) from within fields to across regions. The ratings so produced reflect a significant part of farm and farm/woodlot property assessment values as these also vary by area and building footprint. While the soil properties for texture, coarse fragments, depth, and calcareousness vary by NB soil association mapping units, within-field suitabilities also vary by slope from flat to steep and by drainage as it correlates across the terrain by depth-to-water (DTW) from very poor to poor, imperfect, moderate, well and excessive. Areas marked by 1.5 10% have low to no suitability because of slope-increased soil erosion and trafficability risks. The number of growing-degree and frost-free days across NB were rated to be sufficient for cold weather cropping, except marginally so at the high-elevation locations.
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