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Downscaled projections of Caribbean coral bleaching that can inform conservation planning

机译:可以预测保护规划的加勒比珊瑚漂白的缩小比例预测

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Projections of climate change impacts on coral reefs produced at the coarse resolution (similar to 1 degrees) of Global Climate Models (GCMs) have informed debate but have not helped target local management actions. Here, projections of the onset of annual coral bleaching conditions in the Caribbean under Representative Concentration Pathway (RCP) 8.5 are produced using an ensemble of 33 Coupled Model Intercomparison Project phase-5 models and via dynamical and statistical downscaling. A high-resolution (similar to 11 km) regional ocean model (MOM4.1) is used for the dynamical downscaling. For statistical downscaling, sea surface temperature (SST) means and annual cycles in all the GCMs are replaced with observed data from the similar to 4-km NOAA Pathfinder SST dataset. Spatial patterns in all three projections are broadly similar; the average year for the onset of annual severe bleaching is 2040-2043 for all projections. However, downscaled projections show many locations where the onset of annual severe bleaching (ASB) varies 10 or more years within a single GCM grid cell. Managers in locations where this applies (e.g., Florida, Turks and Caicos, Puerto Rico, and the Dominican Republic, among others) can identify locations that represent relative albeit temporary refugia. Both downscaled projections are different for the Bahamas compared to the GCM projections. The dynamically downscaled projections suggest an earlier onset of ASB linked to projected changes in regional currents, a feature not resolved in GCMs. This result demonstrates the value of dynamical downscaling for this application and means statistically downscaled projections have to be interpreted with caution. However, aside from west of Andros Island, the projections for the two types of downscaling are mostly aligned; projected onset of ASB is within +/-10 years for 72% of the reef locations.
机译:关于以全球气候模式(GCM)的粗略分辨率(大约1度)产生的气候变化对珊瑚礁影响的预测,已经为辩论提供了信息,但并没有帮助针对当地的管理行动。在这里,使用33个耦合模型比对项目第5阶段模型合集并通过动态和统计缩小比例,得出了在代表性浓度途径(RCP)8.5下加勒比地区每年珊瑚白化状况的开始的预测。高分辨率(类似于11 km)的区域海洋模型(MOM4.1)用于动态降尺度。为了进行统计缩减,将所有GCM中的海表温度(SST)平均值和年周期替换为类似于4公里NOAA Pathfinder SST数据集的观测数据。所有三个预测的空间格局大致相似。对于所有预测,每年一次严重漂白的平均年份为2040年至2043年。但是,按比例缩小的投影显示出许多地方,在一个GCM网格中,每年的严重漂白(ASB)发生时间会变化10年或更长时间。适用的地点(例如,佛罗里达州,特克斯和凯科斯群岛,波多黎各和多米尼加共和国等)的管理人员可以确定代表相对地点的地点,尽管这是暂时的避难所。与GCM预测相比,巴哈马的这两个缩减的预测都不同。动态缩小的预测表明,ASB的出现较早,与区域潮流的预计变化有关,这一特征在GCM中尚未解决。此结果证明了此应用程序动态降级的价值,这意味着必须谨慎解释统计学上缩小的投影。但是,除了安德罗斯岛(Andros Island)的西部以外,这两种缩减规模的预测大多是一致的。预计72%的珊瑚礁位置的ASB发病时间为+/- 10年。

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