Maynard Jeffrey, van Hooidonk Ruben, Harvell C Drew, Eakin C Mark, Liu Gang, Willis Bette L, Williams Gareth J, Groner Maya L, Dobson Andrew, Heron Scott F, Glenn Robert, Reardon Kathleen, Shields Jeffrey D
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA Laboratoire d'Excellence "CORAIL" USR 3278 CNRS-EPHE, CRIOBE, Papetoai, Moorea, Polynésie Française
Atlantic Oceanographic and Meteorological Laboratory, NOAA, 4301 Rickenbacker Causeway, Miami, FL 33149, USA Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA.
Philos Trans R Soc Lond B Biol Sci. 2016 Mar 5;371(1689). doi: 10.1098/rstb.2015.0208.
To forecast marine disease outbreaks as oceans warm requires new environmental surveillance tools. We describe an iterative process for developing these tools that combines research, development and deployment for suitable systems. The first step is to identify candidate host-pathogen systems. The 24 candidate systems we identified include sponges, corals, oysters, crustaceans, sea stars, fishes and sea grasses (among others). To illustrate the other steps, we present a case study of epizootic shell disease (ESD) in the American lobster. Increasing prevalence of ESD is a contributing factor to lobster fishery collapse in southern New England (SNE), raising concerns that disease prevalence will increase in the northern Gulf of Maine under climate change. The lowest maximum bottom temperature associated with ESD prevalence in SNE is 12 °C. Our seasonal outlook for 2015 and long-term projections show bottom temperatures greater than or equal to 12 °C may occur in this and coming years in the coastal bays of Maine. The tools presented will allow managers to target efforts to monitor the effects of ESD on fishery sustainability and will be iteratively refined. The approach and case example highlight that temperature-based surveillance tools can inform research, monitoring and management of emerging and continuing marine disease threats.
随着海洋变暖,要预测海洋疾病的爆发需要新的环境监测工具。我们描述了一个开发这些工具的迭代过程,该过程将适合的系统的研究、开发和部署结合起来。第一步是识别候选宿主-病原体系统。我们识别出的24个候选系统包括海绵、珊瑚、牡蛎、甲壳类动物、海星、鱼类和海草(等等)。为了说明其他步骤,我们展示了一个美国龙虾 epizootic shell disease(ESD)的案例研究。ESD发病率的上升是新英格兰南部(SNE)龙虾渔业崩溃的一个促成因素,这引发了人们对气候变化下缅因湾北部疾病发病率将上升的担忧。与SNE中ESD发病率相关的最低最高底层温度为12°C。我们对2015年的季节性展望和长期预测表明,缅因州沿海海湾在今年及未来几年可能会出现大于或等于12°C的底层温度。所展示的工具将使管理人员能够有针对性地努力监测ESD对渔业可持续性的影响,并将不断迭代完善。该方法和案例表明,基于温度的监测工具可为新兴和持续的海洋疾病威胁的研究、监测和管理提供信息。