Met Office Hadley Centre, FitzRoy Road Exeter, Devon EX1 3PB, UK.
Philos Trans R Soc Lond B Biol Sci. 2010 Sep 27;365(1554):2973-89. doi: 10.1098/rstb.2010.0158.
This paper reviews recent literature concerning a wide range of processes through which climate change could potentially impact global-scale agricultural productivity, and presents projections of changes in relevant meteorological, hydrological and plant physiological quantities from a climate model ensemble to illustrate key areas of uncertainty. Few global-scale assessments have been carried out, and these are limited in their ability to capture the uncertainty in climate projections, and omit potentially important aspects such as extreme events and changes in pests and diseases. There is a lack of clarity on how climate change impacts on drought are best quantified from an agricultural perspective, with different metrics giving very different impressions of future risk. The dependence of some regional agriculture on remote rainfall, snowmelt and glaciers adds to the complexity. Indirect impacts via sea-level rise, storms and diseases have not been quantified. Perhaps most seriously, there is high uncertainty in the extent to which the direct effects of CO(2) rise on plant physiology will interact with climate change in affecting productivity. At present, the aggregate impacts of climate change on global-scale agricultural productivity cannot be reliably quantified.
本文回顾了近期有关气候变化可能对全球农业生产力产生影响的多种过程的文献,并展示了气候模型集合中相关气象、水文和植物生理数量的变化预测,以说明关键的不确定性领域。很少有进行全球规模的评估,并且这些评估在捕捉气候预测中的不确定性方面能力有限,并且忽略了诸如极端事件和病虫害变化等潜在重要方面。从农业角度量化气候变化对干旱的影响尚不清楚,不同的指标对未来风险的看法大相径庭。一些地区农业对远程降雨、融雪和冰川的依赖增加了复杂性。通过海平面上升、风暴和疾病的间接影响尚未量化。也许最严重的是,二氧化碳上升对植物生理学的直接影响与气候变化对生产力的影响相互作用的程度存在高度不确定性。目前,气候变化对全球农业生产力的综合影响无法可靠地量化。