Spatial dynamics of agricultural practices on a basin territory: a retrospective study to implement models simulating nitrate flow. The case of the Seine basin

Agronomie Pub Date : 2004-05-01 DOI:10.1051/AGRO:2004015
C. Mignolet, C. Schott, M. Benoît
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引用次数: 53

Abstract

Within an interdisciplinary research programme which has aimed at modelling the nitrate flow evolution in the whole Seine basin since the seventies, we propose a methodological process in order to reconstitute and spatialise cropping systems' dynamics, whose characteristics are used to implement the STICS agronomic model. This process makes use of both expert opinions and departmental or national agricultural statistics that are compared, step by step, in order to build the most reliable database in relation to the time and space scales considered. Data mining and statistical cartography methods are, respectively used to model the crop sequences' temporal evolution and to spatialise them over the spatial pattern of the agricultural districts. The results show an important spatial and temporal differentiation of the cropping systems, both in the cropping sequences developed and in the cultivation techniques employed. Crossing several information sources allows the identification of historical trends, but with a decreasing precision as we go back in time.
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流域地区农业实践的空间动态:模拟硝酸盐流动模型的回顾性研究。塞纳河流域的例子
在一个跨学科的研究项目中,旨在模拟整个塞纳河流域自70年代以来的硝酸盐流动演变,我们提出了一种方法过程,以重建和空间化种植系统的动态,其特征用于实施STICS农艺模型。这一过程利用专家意见和逐步比较的部门或国家农业统计数据,以便建立与所考虑的时间和空间尺度有关的最可靠的数据库。数据挖掘和统计制图方法分别用于模拟作物序列的时间演变,并在农业区的空间格局上对它们进行空间化。研究结果表明,在不同的种植顺序和栽培技术上,不同的种植制度存在着明显的时空差异。交叉几个信息源可以确定历史趋势,但随着时间的推移,精度会降低。
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