APSIM 的起源及其最初 30 年的演变:回顾与思考

IF 6.4 1区 农林科学 Q1 AGRONOMY
Brian Anthony Keating
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引用次数: 0

摘要

在过去的 60 年里,模拟模型与农业研究方法共同发展,现已成为农业研究与开发中被广泛接受和使用的组成部分。仿真模型为各种学科和情况下的研究提供支持,在农业系统研究中更是如此。当代农业系统研究的特点是,面对气候的多变性和变化,在空间和时间上发生复杂的相互作用,在这种情况下,农业系统模型是解释和归纳研究成果的重要工具。本综述探讨了应用最广泛的农业系统建模平台之一--农业生产系统模拟器(APSIM)的演变过程。本综述介绍了 20 世纪 60 年代和 70 年代的农学研究方法,为 APSIM 的开发奠定了基础。简要介绍了 20 世纪 80 年代作物和土壤建模方面的早期创新,并从 20 世纪 90 年代起对 APSIM 的发展历史进行了更明确的报道。报告回顾了 2000 年代和 2010 年代 APSIM 的使用情况和影响。回顾的最后,反思了影响和促成 APSIM 发展和使用的 30 多年历史的各种力量,并展望了未来的挑战。近距离和遥感技术的最新发展,以及机器学习所带来的经验模型能力的进步,并不被视为威胁,而更多的是为更有效地部署合理的生物物理模型提供了机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

APSIM’s origins and the forces shaping its first 30 years of evolution: A review and reflections

APSIM’s origins and the forces shaping its first 30 years of evolution: A review and reflections

Simulation models have co-evolved with agricultural research methods over the last 60 years and they are now a widely accepted and deployed component of agricultural research and development. Modelling supports research in a very diverse range of disciplines and situations, but nowhere more so than in farming systems research. The complex interactions in space and time in the face of climate variability and change that characterise contemporary farming systems research create a situation in which farming systems models are vital tools in interpreting and generalising research results. This review examines the evolution of one of the most widely used farming systems modelling platforms, the Agricultural Production Systems Simulator (APSIM). The review sets the scene for APSIM development with an account of research approaches in agronomy during the 1960s and 1970s. The early innovations in crop and soil modelling in the 1980s are covered briefly and a more explicit history of APSIM development is reported from the 1990s. Reports of APSIM use and impact are reviewed over the 2000s and 2010s. The review concludes with reflections on the forces that have shaped and enabled this more than 30-year history of APSIM development and use, together with a look forward to future challenges. Recent developments in proximal and remote sensing together with advances in the power of empirical models arising from machine learning are not seen as threats but more so opportunities for sound bio-physical models to be deployed with greater effect.

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来源期刊
Agronomy for Sustainable Development
Agronomy for Sustainable Development 农林科学-农艺学
CiteScore
10.70
自引率
8.20%
发文量
108
审稿时长
3 months
期刊介绍: Agronomy for Sustainable Development (ASD) is a peer-reviewed scientific journal of international scope, dedicated to publishing original research articles, review articles, and meta-analyses aimed at improving sustainability in agricultural and food systems. The journal serves as a bridge between agronomy, cropping, and farming system research and various other disciplines including ecology, genetics, economics, and social sciences. ASD encourages studies in agroecology, participatory research, and interdisciplinary approaches, with a focus on systems thinking applied at different scales from field to global levels. Research articles published in ASD should present significant scientific advancements compared to existing knowledge, within an international context. Review articles should critically evaluate emerging topics, and opinion papers may also be submitted as reviews. Meta-analysis articles should provide clear contributions to resolving widely debated scientific questions.
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