It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
The ability to anticipate marine habitat shifts responding to climate variability has high scientific and socioeconomic value. Here we quantify interannual-to-decadal predictability of habitat shifts by combining trait-based aerobic habitat constraints with a suite of initialized retrospective Earth System Model forecasts, for diverse marine ecotypes in the North American Large Marine Ecosystems. We find that aerobic habitat viability, defined by joint constraints of temperature and oxygen on organismal energy balance, is potentially predictable in the upper-600 m ocean, showing a substantial improvement over a simple persistence forecast. The skillful multiyear predictability is dominated by the oxygen component in most ecosystems, yielding higher predictability than previously estimated based on temperature alone. Notable predictability differences exist among ecotypes differing in temperature sensitivity of hypoxia vulnerability, especially along the northeast coast with predictability timescale ranging from 2 to 10 years. This tool will be critical in predicting marine habitat shifts in face of a changing climate.
Here, the authors show that multiyear prediction of marine habitat shifts can be skillfully accomplished by combining trait based aerobic habitat constraints with a suite of initialized retrospective Earth System Model temperature forecasts.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 University of Connecticut, Department of Marine Sciences, Groton, USA (GRID:grid.63054.34) (ISNI:0000 0001 0860 4915)
2 National Center for Atmospheric Research, Climate & Global Dynamics Laboratory, Boulder, USA (GRID:grid.57828.30) (ISNI:0000 0004 0637 9680)
3 University of California San Diego, Scripps Institution of Oceanography, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242)
4 NOAA, Princeton University, Geophysical Fluid Dynamics Laboratory, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006)
5 Princeton University, Department of Geosciences/High Meadows Environmental Institute, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006)