Spatialising crop models

Agronomie Pub Date : 2004-05-01 DOI:10.1051/AGRO:2004016
R. Faivre, D. Leenhardt, M. Voltz, M. Benoît, F. Papy, G. Dedieu, D. Wallach
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引用次数: 90

Abstract

There are many incentives for applying a crop model at a regional scale, i.e. over an area larger than that for which it has been developed. This is what we call “spatialising” a crop model. These large areas can have very heterogeneous soil, climate and management practices. Consequently, spatialising a crop model can pose serious problems. One set arises from the fact that the basic concepts, hypotheses and validity domains of crop models are derived at the plot scale and may not apply at a larger scale. Another set arises from the lack of adequate and sufficient data to run the model at a regional scale. The workshop held in Toulouse (France) on 14–15 January 2002 dealt with the topic of spatialising crop models. The present paper is a comprehensive summary of the thoughts we had before, during and after the workshop.
作物模型的空间化
在区域尺度上应用作物模型有许多激励措施,即在比开发该模型的面积更大的区域上应用。这就是我们所说的“空间化”作物模型。这些大片地区的土壤、气候和管理做法可能非常不一样。因此,对作物模型进行空间化可能会带来严重的问题。一组是由于作物模型的基本概念、假设和有效域是在地块尺度上推导出来的,可能不适用于更大的尺度。另一组是由于缺乏足够的数据来在区域尺度上运行模型而产生的。2002年1月14日至15日在法国图卢兹举行的讲习班讨论了作物模型的空间化问题。本文综合总结了我们在研讨会之前、期间和之后的想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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