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首页> 外文期刊>Journal of the Royal Society Interface >North-outh divide: contrasting impacts of climate change on crop yields in Scotland and England
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North-outh divide: contrasting impacts of climate change on crop yields in Scotland and England

机译:南北分界:苏格兰和英国气候变化对农作物产量的不同影响

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摘要

Effects of climate change on productivity of agricultural crops in relation to diseases that attack them are difficult to predict because they are complex and nonlinear. To investigate these crop-disease-climate interactions, UKCIP02 scenarios predicting UK temperature and rainfall under high- and low-CO2 emission scenarios for the 2020s and 2050s were combined with a crop-simulation model predicting yield of fungicide-treated winter oilseed rape and with a weather-based regression model predicting severity of phoma stem canker epidemics. The combination of climate scenarios and crop model predicted that climate change will increase yield of fungicide-treated oilseed rape crops in Scotland by up to 0.5 t ha~(-1) (15%). In contrast, in southern England the combination of climate scenarios, crop, disease and yield loss models predicted that climate change will increase yield losses from phoma stem canker epidemics to up to 50 per cent (1.5 t ha~(-1)) and greatly decrease yield of untreated winter oilseed rape. The size of losses is predicted to be greater for winter oilseed rape cultivars that are susceptible than for those that are resistant to the phoma stem canker pathogen Leptosphaeria maculans. Such predictions illustrate the unexpected, contrasting impacts of aspects of climate change on crop-disease interactions in agricultural systems in different regions.
机译:由于气候变化是复杂且非线性的,因此难以预测与侵害疾病有关的农作物生产力的影响。为了调查这些作物-疾病-气候的相互作用,将UKCIP02情景预测英国在2020年代和2050年代高和低CO2排放情景下的温度和降雨量与情景模拟模型相结合,该模型模拟了用杀真菌剂处理过的冬季油菜的产量,以及一种基于天气的回归模型,可预测食管茎溃疡病的严重程度。气候情景和作物模型的结合预测,气候变化将使苏格兰经杀真菌剂处理的油菜油菜作物的产量增加多达0.5 t ha〜(-1)(15%)。相比之下,在英格兰南部,气候情景,作物,疾病和单产损失模型的结合预测,气候变化将使茎秆枯萎病流行的单产损失增加至50%(1.5 t ha〜(-1)),并且大大提高降低未经处理的冬季油菜的产量。预计对易感冬季油菜品种的损失将大于对耐茎秆枯萎病病原体Leptosphaeria maculans的油菜品种的损失。这样的预测说明了气候变化各方面对不同地区农业系统中农作物-疾病相互作用的意想不到的,相反的影响。

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