Lee Kyoung-Tae, Jeon Hye-Won, Park Sook-Young, Cho Jaepil, Kim Kwang-Hyung
Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826 Korea.
Convergence Center for Watershed Management, Integrated Watershed Management Institute, 16489 Suwon, Korea.
Clim Change. 2022;173(1-2):12. doi: 10.1007/s10584-022-03410-2. Epub 2022 Jul 20.
Recently, the International Panel for Climate Change released the 6th Coupled Model Intercomparison Project (CMIP6) climate change scenarios with shared socioeconomic pathways (SSPs). The SSP scenarios result in significant changes to climate variables in climate projections compared to their predecessor, the representative concentration pathways from the CMIP5. Therefore, it is necessary to examine whether the CMIP6 scenarios differentially impact plant-disease ecosystems compared to the CMIP5 scenarios. In this study, we used the EPIRICE-LB model to simulate and compare projected rice blast disease epidemics in the Korean Peninsula using five selected family global climate models (GCMs) of the CMIP5 and CMIP6 for two forcing scenarios. We found a similar decrease in rice blast epidemics in both CMIP scenarios; however, this decrease was greater in the CMIP6 scenarios. In addition, distinctive epidemic trends were found in North Korea, where the rice blast epidemics increase until the mid-2040s but decrease thereafter until 2100, with different spatial patterns of varying magnitudes. Controlling devastating rice blast diseases will remain important during the next decades in North Korea, where appropriate chemical controls are unavailable due to chronic economic and political issues. Overall, our analyses using the new CMIP6 scenarios reemphasized the importance of developing effective control measures against rice blast for specific high-risk areas and the need for a universal impact and vulnerability assessment platform for plant-disease ecosystems that can be used with new climate change scenarios in the future.
The online version contains supplementary material available at 10.1007/s10584-022-03410-2.
最近,国际气候变化专门委员会发布了第六次耦合模式比较计划(CMIP6)的气候变化情景以及共享社会经济路径(SSP)。与之前的CMIP5代表性浓度路径相比,SSP情景导致气候预测中的气候变量发生了显著变化。因此,有必要研究CMIP6情景与CMIP5情景相比是否对植物病害生态系统有不同影响。在本研究中,我们使用EPIRICE-LB模型,利用CMIP5和CMIP6中五个选定的全球气候模式(GCM),针对两种强迫情景,模拟并比较了朝鲜半岛预计的稻瘟病流行情况。我们发现在两种CMIP情景下稻瘟病流行情况均有类似程度的下降;然而,CMIP6情景下的下降幅度更大。此外,在朝鲜发现了独特的流行趋势,稻瘟病流行情况在2040年代中期之前增加,但此后直至2100年下降,且具有不同幅度的不同空间模式。在朝鲜,由于长期的经济和政治问题无法获得适当的化学防治措施,在未来几十年控制毁灭性的稻瘟病仍将很重要。总体而言,我们使用新的CMIP6情景进行的分析再次强调了针对特定高风险地区制定有效防治稻瘟病措施的重要性,以及需要一个可用于未来新气候变化情景的植物病害生态系统通用影响和脆弱性评估平台。
在线版本包含可在10.1007/s10584-022-03410-2获取的补充材料。