Vogeler Iris, Lilburne Linda, Webb Trevor, Cichota Rogerio, Sharp Joanna, Carrick Sam, Brown Hamish, Snow Val
The New Zealand Institute for Plant & Food Research Limited, Lincoln, New Zealand.
Aarhus University, Tjele, Denmark.
MethodsX. 2022 Feb 6;9:101632. doi: 10.1016/j.mex.2022.101632. eCollection 2022.
Agroecosystem models have become an important tool for impact assessment studies, and their results are often used for management and policy decisions. Soil information is a key input for these models, yet site-specific soil property data are often not available, and soil databases are increasingly being used to provide input parameters. For New Zealand, the digital spatial soil information system S-map provides geospatial data on a range of soil characteristics, including estimates of soil water properties. We describe a protocol for how properties from S-map can be used as input parameters for the APSIM (Agricultural Production Systems sIMulator) framework. Finally, we investigate how changes in the physical description of soil layers, and soil organic matter pools, affect the various outputs of APSIM.•This paper presents a description of how information from S-map, a digital soil map of New Zealand, can be used for building a soil description for APSIM.•A sensitivity analysis shows the effect of soil layering and the set-up setup, size, and distribution of SOM pools on model outputs, including plant growth and N leaching.
农业生态系统模型已成为影响评估研究的重要工具,其结果常被用于管理和政策决策。土壤信息是这些模型的关键输入,但特定地点的土壤属性数据往往难以获取,因此越来越多地使用土壤数据库来提供输入参数。对于新西兰而言,数字空间土壤信息系统S-map提供了一系列土壤特征的地理空间数据,包括土壤水分属性的估算值。我们描述了一种将S-map中的属性用作APSIM(农业生产系统模拟器)框架输入参数的方案。最后,我们研究了土壤层物理描述和土壤有机质库的变化如何影响APSIM的各种输出。•本文介绍了如何利用新西兰数字土壤图S-map中的信息为APSIM构建土壤描述。•敏感性分析表明了土壤分层以及土壤有机质库的设置、大小和分布对模型输出的影响,包括植物生长和氮素淋失。