Ecological forecasts for marine resource management during climate extremes

被引:12
作者
Brodie, Stephanie [1 ,2 ,3 ]
Buil, Mercedes Pozo [1 ,2 ]
Welch, Heather [1 ,2 ]
Bograd, Steven J. [1 ,2 ]
Hazen, Elliott L. [1 ,2 ]
Santora, Jarrod A. [4 ,5 ]
Seary, Rachel [1 ,2 ]
Schroeder, Isaac D. [1 ,2 ]
Jacox, Michael G. [1 ,2 ,6 ]
机构
[1] Univ Calif Santa Cruz, Inst Marine Sci, Monterey, CA 93955 USA
[2] NOAA, Natl Marine Fisheries Serv, Div Environm Res, Southwest Fisheries Sci Ctr, Monterey, CA 93940 USA
[3] Commonwealth Sci & Ind Res Org CSIRO, Environm, Brisbane, Qld, Australia
[4] NOAA, Fisheries Ecol Div, Southwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Santa Cruz, CA USA
[5] Univ Calif Santa Cruz, Dept Appl Math, Santa Cruz, CA 1156 USA
[6] NOAA, Earth Syst Res Labs, Phys Sci Lab, Boulder, CO USA
关键词
TO-INTERANNUAL PREDICTION; SYSTEM; FISHERIES; SKILL;
D O I
10.1038/s41467-023-43188-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Forecasting weather has become commonplace, but as society faces novel and uncertain environmental conditions there is a critical need to forecast ecology. Forewarning of ecosystem conditions during climate extremes can support proactive decision-making, yet applications of ecological forecasts are still limited. We showcase the capacity for existing marine management tools to transition to a forecasting configuration and provide skilful ecological forecasts up to 12 months in advance. The management tools use ocean temperature anomalies to help mitigate whale entanglements and sea turtle bycatch, and we show that forecasts can forewarn of human-wildlife interactions caused by unprecedented climate extremes. We further show that regionally downscaled forecasts are not a necessity for ecological forecasting and can be less skilful than global forecasts if they have fewer ensemble members. Our results highlight capacity for ecological forecasts to be explored for regions without the infrastructure or capacity to regionally downscale, ultimately helping to improve marine resource management and climate adaptation globally.
引用
收藏
页数:10
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