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A framework for examining climate-driven changes to the seasonality and geographical range of coastal pathogens and harmful algae

机译:一个研究气候驱动的沿海病原体和有害藻类的季节性和地理范围变化的框架

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摘要

Abstract Climate change is expected to alter coastal ecosystems in ways which may have predictable consequences for the seasonality and geographical distribution of human pathogens and harmful algae. Here we demonstrate relatively simple approaches for evaluating the risk of occurrence of pathogenic bacteria in the genus Vibrio and outbreaks of toxin-producing harmful algae in the genus Alexandrium, with estimates of uncertainty, in U.S. coastal waters under future climate change scenarios through the end of the 21st century. One approach forces empirical models of growth, abundance and the probability of occurrence of the pathogens and algae at specific locations in the Chesapeake Bay and Puget Sound with ensembles of statistically downscaled climate model projections to produce first order assessments of changes in seasonality. In all of the case studies examined, the seasonal window of occurrence for Vibrio and Alexandrium broadened, indicating longer annual periods of time when there is increased risk for outbreaks. A second approach uses climate model projections coupled with {GIS} to identify the potential for geographic range shifts for Vibrio spp. in the coastal waters of Alaska. These two approaches could be applied to other coastal pathogens that have climate sensitive drivers to investigate potential changes to the risk of outbreaks in both time (seasonality) and space (geographical distribution) under future climate change scenarios.
机译:摘要预期气候变化将以某种方式对沿海生态系统产生影响,从而可能对人类病原体和有害藻类的季节性和地理分布产生可预测的影响。在这里,我们展示了相对简单的方法,用于评估弧菌属中致病菌的发生风险和亚历山大藻属中毒素产生的有害藻类暴发的​​风险,并通过不确定性估计,在未来气候变化情景下直至2004年底,美国沿海水域21世纪。一种方法是通过对切萨皮克湾和普吉特海湾特定位置的病原体和藻类的生长,丰度以及发生概率的经验模型,结合统计上缩小规模的气候模型预测,来对季节性变化进行一级评估。在所有检查的案例研究中,弧菌和亚历山大菌的季节性发病窗口扩大了,表明当爆发风险增加时,每年的时间更长。第二种方法是将气候模型预测与{GIS}结合使用,以识别弧菌的地理范围变化的可能性。在阿拉斯加的沿海水域。可以将这两种方法应用于具有气候敏感性驱动因素的其他沿海病原体,以研究未来气候变化情景下时间(季节性)和空间(地理分布)爆发风险的潜在变化。

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