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Predicting the potential geographic distribution of weeds in 2080

机译:预测2080年杂草的潜在地理分布

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Accounting for climate change is an important factor to consider in weed risk assessments and can be useful when planning strategic management approaches and targeting weed education initiatives. Global climate modelling has now reached a sufficient level of maturity that regional climate models can be used with greater confidence to apply future climate scenarios to biophysical models. Data from four Global Climate Models using four SRES emission scenarios (IPCC 2000) were used to develop a framework for generating climate change surfaces for use in CL1MEX~(TM). The supplied variables were transformed and reformatted and, where necessary, new variables were estimated. Using this framework, future climate surfaces can be generated for any user-defined period up to 2100 and applied to any base climatology by interpolating the change surfaces. The future climate surfaces have been applied to the climate models of three important weeds in Australia with contrasting climatic requirements (prickly acacia. Acacia nilotica (L.) Willd. ex Delile, Siam weed Chromolaena odorata (L.) R.M.King & H.Rob., and buddleia, Buddleja davidii Franch.) to show a range of possible future distributions for them in Australia.
机译:气候变化的核算是在杂草风险评估中考虑的重要因素,并且在规划战略管理方法和针对杂草教育举措时可以有用。全球气候建模现已达到了足够的成熟程度,即区域气候模型可以更有信心地应用于将未来的气候情景应用于生物物理模型。使用四个SRES发射方案(IPCC 2000)的四种全球气候模型的数据用于开发用于生成气候变化表面的框架,用于CL1MEX〜(TM)。提供的变量转换并重新格式化,必要时估计新的变量。使用此框架,可以为任何用户定义的时期生成未来的气候表面,最高可达2100,并通过插入变化表面来应用于任何基础气候学。未来的气候表面已应用于澳大利亚三个重要杂草的气候模型,具有对比的气候要求(刺刺刺激。Acacia Nilotica(L.)Willd。Ex·德河,暹罗杂草素奥多拉塔(L.)RMKing&H.Rob 。和Buddleia,Buddleja Davidii Franch。)为在澳大利亚显示一系列可能的未来发行版。

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