Using the WISE database to parameterize soil inputs for crop simulation models
Using the WISE database to parameterize soil inputs for crop simulation models
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DOI：
10.1016/j.compag.2007.01.001
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发表时间：
2007-04-01
影响因子：
8.3
通讯作者：
Hoogenboom, Gerrit
中科院分区：
文献类型：
--
作者：
Gijsman, Arjan J.;Thornton, Philip K.;Hoogenboom, Gerrit
在1990年代，荷兰的国际土壤参考和信息中心为“世界土壤排放潜力清单”项目开发了一个土壤数据库。利用该数据库，我们将来自世界各地的1125个土壤剖面转换成一种格式，该格式可以用作一些常用的生物物理计算机模型的输入数据，例如农业技术转让决策支持系统（DSSAT）中的作物模拟模型。土壤数据往往无法获得，特别是在热带和亚热带地区的许多地方。如果对某一特定地点的土壤概况知之甚少或一无所知，则可以使用土壤数据库，根据与同一地区其他土壤的比较来估计其某些参数。WISE数据库是最全面的土壤数据库之一，样本分布在世界各地。然后，所得的土壤剖面可以用作模型的输入参数，以模拟该地区一种或多种作物的生长、发育和产量。有了许多土壤类别的多个剖面，就有可能获得关于每个土壤参数值范围的指示，然后根据模型对该范围的响应进行不确定性分析。所有土壤剖面都有地理参考，因此可以与粮农组织-教科文组织世界土壤地图的数字版本相关联。我们描述了用于转换土壤剖面数据库的方法，讨论了土壤类别中关键土壤变量的可变性，说明了如何使用数据库，最后提出了进一步改进数据库以用于生物物理建模应用的建议。(c) 2007 Elsevier B.V.版权所有
During the 1990s, a soils database was developed by the International Soil Reference and Information Centre in The Netherlands for the project "World Inventory of Soil Emission Potentials" (WISE). Using this database, we converted 1125 soil profiles from around the world into a format that can be used as input data to some commonly used biophysical computer models, such as the crop simulation models within the Decision Support System for Agrotechnology Transfer (DSSAT). Soil data are often unavailable, particularly for many locations in the tropical and subtropical regions. If little or nothing is known about the soil profile for a particular location, a soil database can be used to estimate some of its parameters, based on a comparison with other soils from the same region. The WISE database is one of the most comprehensive soil databases, with samples well distributed in the World. The resulting soil profile can then be used as input parameters for a model to simulate growth, development and yield for one or more crops for this location. With multiple profiles available for many soil classes, it is possible to obtain an indication about the range of values for each soil parameter and then conduct an uncertainty analysis with respect to the model's response to this range. All soil profiles have been geo-referenced, and can thus be linked to the digital version of the FAO-UNESCO soil map of the world. We describe the methods used to convert the soil profile database, discuss the variability of key soil variables by soil class, illustrate how the database can be used, and conclude with recommendations for further work to improve the database for biophysical modeling applications. (c) 2007 Elsevier B.V. All rights reserved.