Tompkins Adrian M, Caporaso Luca
Abdus Salam International Centre for Theoretical Physics, Trieste.
Geospat Health. 2016 Mar 31;11(1 Suppl):380. doi: 10.4081/gh.2016.380.
Using mathematical modelling tools, we assessed the potential for land use change (LUC) associated with the Intergovernmental Panel on Climate Change low- and high-end emission scenarios (RCP2.6 and RCP8.5) to impact malaria transmission in Africa. To drive a spatially explicit, dynamical malaria model, data from the four available earth system models (ESMs) that contributed to the LUC experiment of the Fifth Climate Model Intercomparison Project are used. Despite the limited size of the ESM ensemble, stark differences in the assessment of how LUC can impact climate are revealed. In three out of four ESMs, the impact of LUC on precipitation and temperature over the next century is limited, resulting in no significant change in malaria transmission. However, in one ESM, LUC leads to increases in precipitation under scenario RCP2.6, and increases in temperature in areas of land use conversion to farmland under both scenarios. The result is a more intense transmission and longer transmission seasons in the southeast of the continent, most notably in Mozambique and southern Tanzania. In contrast, warming associated with LUC in the Sahel region reduces risk in this model, as temperatures are already above the 25-30°C threshold at which transmission peaks. The differences between the ESMs emphasise the uncertainty in such assessments. It is also recalled that the modelling framework is unable to adequately represent local-scale changes in climate due to LUC, which some field studies indicate could be significant.
我们使用数学建模工具,评估了与政府间气候变化专门委员会的低端和高端排放情景(代表性浓度路径2.6和代表性浓度路径8.5)相关的土地利用变化(LUC)对非洲疟疾传播产生影响的可能性。为驱动一个空间明确的动态疟疾模型,我们使用了来自四个可用地球系统模型(ESMs)的数据,这些模型为第五次气候模型比较计划的土地利用变化实验做出了贡献。尽管地球系统模型的数量有限,但在评估土地利用变化如何影响气候方面仍显示出明显差异。在四个地球系统模型中的三个模型中,土地利用变化对下个世纪降水和温度的影响有限,导致疟疾传播没有显著变化。然而,在一个地球系统模型中,在代表性浓度路径2.6情景下,土地利用变化导致降水增加,在两种情景下,向农田转变的土地利用区域温度升高。结果是非洲大陆东南部的传播更加剧烈,传播季节更长,最显著的是在莫桑比克和坦桑尼亚南部。相比之下,在萨赫勒地区,与土地利用变化相关的变暖在该模型中降低了风险,因为温度已经高于传播高峰时的25 - 30°C阈值。地球系统模型之间的差异凸显了此类评估中的不确定性。还应指出的是,该建模框架无法充分体现因土地利用变化导致的当地尺度气候的变化,而一些实地研究表明这种变化可能很大。