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Expert Systems Modeling for Assessing Climate Change Impacts and Adaptation in Agricultural Systems at Regional Level

机译:在区域一级评估气候变化对农业系统的影响和适应的专家系统建模

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Australian agriculture is very susceptible to the adverse impacts of climate change, with major shifts in temperature and rainfall projected. In this context, this paper describes a research methodology for assessing potential climate change impacts on, and formulating adaptation options for, agriculture at regional level. The methodology was developed and applied in the analysis of climate change impacts on key horticultural commodities—pome fruits (apples and pears), stone fruits (peaches and nectarines) and wine grapes—in the Goulburn Broken catchment management region, State of Victoria, Australia. Core components of the methodology are mathematical models that enable to spatially represent the degree of biophysical land suitability for the growth of agricultural commodities in the region of interest given current and future climatic conditions. The methodology provides a sound analytic approach to 1) recognise regions under threat of declines in agricultural production due to unfolding climatic changes; 2) identify alternative agricultural systems better adapted to likely future climatic conditions and 3) investigate incremental and transformational adaptation actions to improve the problem situations that are being created by climate change.
机译:澳大利亚的农业非常容易受到气候变化不利影响的影响,预计温度和降雨量将发生重大变化。在这种情况下,本文描述了一种研究方法,用于评估气候变化对区域农业的潜在影响并为农业制定适应方案。开发了该方法,并将其用于分析气候变化对澳大利亚维多利亚州Goulburn破碎集水区的主要园艺商品(梨果(苹果和梨),核果(桃子和油桃)和酿酒葡萄)的影响。 。该方法的核心组成部分是数学模型,该数学模型能够在空间上表示在当前和将来的气候条件下,感兴趣地区农业商品的生物物理土地适应程度。该方法提供了一种合理的分析方法,以:1)识别由于不断变化的气候变化而受到农业生产下降威胁的地区; 2)确定更能适应未来可能的气候条件的替代农业系统,以及3)研究增量和转型适应措施,以改善气候变化造成的问题状况。

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