Trade-offs associated with different modeling approaches for assessment of fish and shellfish responses to climate change

被引:22
作者
Hollowed, Anne Babcock [1 ]
Curchitser, Enrique N. [2 ]
Stock, Charles A. [3 ]
Zhang, Chang Ik [4 ]
机构
[1] NOAA, Alaska Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA 98115 USA
[2] Rutgers State Univ, Inst Marine & Coastal Sci, Dept Environm Sci, New Brunswick, NJ 08901 USA
[3] Princeton Univ, Geophys Fluid Dynam Lab, Princeton, NJ 08540 USA
[4] Pukyong Natl Univ, Div Marine Prod Syst Management, Pusan 608737, South Korea
基金
美国国家科学基金会;
关键词
EASTERN BERING-SEA; POLLOCK THERAGRA-CHALCOGRAMMA; MANAGEMENT STRATEGIES; SKILL ASSESSMENT; DYNAMICS MODEL; FOOD WEBS; FISHERIES; ECOSYSTEM; OCEAN; UNCERTAINTY;
D O I
10.1007/s10584-012-0641-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Considerable progress has been made in integrating carbon, nutrient, phytoplankton and zooplankton dynamics into global-scale physical climate models. Scientists are exploring ways to extend the resolution of the biosphere within these Earth system models (ESMs) to include impacts on global distribution and abundance of commercially exploited fish and shellfish. This paper compares different methods for modeling fish and shellfish responses to climate change on global and regional scales. Several different modeling approaches are considered including: direct applications of ESM's, use of ESM output for estimation of shifts in bioclimatic windows, using ESM outputs to force single-and multispecies stock projection models, and using ESM and physical climate model outputs to force regional bio-physical models of varying complexity and mechanistic resolution. We evaluate the utility of each of these modeling approaches in addressing nine key questions relevant to climate change impacts on living marine resources. No single modeling approach was capable of fully addressing each question. A blend of highly mechanistic and less computationally intensive methods is recommended to gain mechanistic insights and to identify model uncertainties.
引用
收藏
页码:111 / 129
页数:19
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