Kavanaugh Maria T, Rheuban Jennie E, Luis Kelly M A, Doney Scott C
Marine Chemistry and Geochemistry Department Woods Hole Oceanographic Institution Woods Hole MA USA.
Ocean Ecology and Biogeochemistry, College of Earth, Ocean, and Atmospheric Sciences Oregon State University Corvallis OR USA.
J Geophys Res Oceans. 2017 Dec;122(12):9399-9414. doi: 10.1002/2017JC012953. Epub 2017 Dec 4.
The U.S. Northeast Continental Shelf is experiencing rapid warming, with potentially profound consequences to marine ecosystems. While satellites document multiple scales of spatial and temporal variability on the surface, our understanding of the status, trends, and drivers of the benthic environmental change remains limited. We interpolated sparse benthic temperature data along the New England Shelf and upper Slope using a seasonally dynamic, regionally specific multiple linear regression model that merged in situ and remote sensing data. The statistical model predicted nearly 90% of the variability of the data, resulting in a synoptic time series spanning over three decades from 1982 to 2014. Benthic temperatures increased throughout the domain, including in the Gulf of Maine. Rates of benthic warming ranged from 0.1 to 0.4°C per decade, with fastest rates occurring in shallow, nearshore regions and on Georges Bank, the latter exceeding rates observed in the surface. Rates of benthic warming were up to 1.6 times faster in winter than the rest of the year in many regions, with important implications for disease occurrence and energetics of overwintering species. Drivers of warming varied over the domain. In southern New England and the mid-Atlantic shallow Shelf regions, benthic warming was tightly coupled to changes in SST, whereas both regional and basin-scale changes in ocean circulation affect temperatures in the Gulf of Maine, the Continental Shelf, and Georges Banks. These results highlight data gaps, the current feasibility of prediction from remotely sensed variables, and the need for improved understanding on how climate may affect seasonally specific ecological processes.
美国东北大陆架正在经历快速变暖,这可能会对海洋生态系统产生深远影响。虽然卫星记录了海面多种时空尺度的变化,但我们对底栖环境变化的现状、趋势和驱动因素的了解仍然有限。我们使用一个季节性动态、区域特定的多元线性回归模型,将现场数据和遥感数据合并,对新英格兰陆架和上坡的稀疏底栖温度数据进行了插值。该统计模型预测了近90%的数据变异性,从而生成了一个从1982年到2014年跨越三十多年的全景时间序列。整个区域的底栖温度都在上升,包括缅因湾。底栖变暖速率为每十年0.1至0.4°C,最快的速率出现在浅海近岸区域和乔治斯浅滩,后者超过了海面观测到的速率。在许多地区,冬季底栖变暖速率比一年中的其他时间快1.6倍,这对疾病发生和越冬物种的能量学具有重要影响。变暖的驱动因素在整个区域各不相同。在新英格兰南部和中大西洋浅海架区域,底栖变暖与海表温度的变化紧密相关,而海洋环流的区域和盆地尺度变化则影响缅因湾、大陆架和乔治斯浅滩的温度。这些结果突出了数据差距、从遥感变量进行预测的当前可行性,以及需要更好地理解气候如何影响季节性特定生态过程。