A spatially explicit application has been developed for the conterminous United States to assist farmers and extension agents with selecting appropriate tree species for agroforestry applications. The application combines several spatially explicit databases of tree species, high-resolution soil data, and climate. On the front-end of the application, a simple graphical user interface (GUI) allows the user to indicate their location, the size of the area to be searched, and the functional use category for the trees. These parameters are used to query a PostGRESQL relational database management system on the back-end via a Python script. All tree species within the user-specified area and matching the user-specified objectives, are returned to the web page along with tree characteristics, and soil and climate data for the specified location. Expert feedback on the application was solicited and used to make improvements to the service. The accuracy of the application was tested at several locations in Missouri, USA, and found satisfactory.

中文翻译：

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美国农林业的空间显式树搜索应用程序

已经为美国本土开发了一个空间明确的应用程序，以帮助农民和推广人员选择适合农林业应用的树种。该应用程序结合了几个树种、高分辨率土壤数据和气候的空间显式数据库。在应用程序的前端，一个简单的图形用户界面 (GUI) 允许用户指示他们的位置、要搜索的区域的大小以及树木的功能使用类别。这些参数用于通过 Python 脚本查询后端的 PostGRESQL 关系数据库管理系统。用户指定区域内并与用户指定目标相匹配的所有树种，连同指定位置的树木特征、土壤和气候数据一起返回到网页。征求了有关该应用程序的专家反馈意见，并将其用于改进服务。该应用程序的准确性在美国密苏里州的多个地点进行了测试，结果令人满意。