4.7 Review

Using Global-Scale Earth System Models for Regional Fisheries Applications

期刊

FRONTIERS IN MARINE SCIENCE
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2021.622206

关键词

living marine resources; earth system models; modeling; primary production; biogeochemistry; CMIP6; climate change

资金

  1. NOAA's Integrated Ecosystem Assessment program
  2. NOAA Marine Ecosystem Tipping Points Initiative
  3. NOAA Ocean Acidification Program
  4. Future Seas I & II project under NOAA Coastal and Ocean Climate Applications and Climate [NA17OAR4310268, NA20OAR4310507]
  5. Future Seas I & II project under NOAA Climate and Fisheries Adaptation Program [NA17OAR4310268, NA20OAR4310507]
  6. NOAA [NA20OAR4310405, NA20OAR4310447]

向作者/读者索取更多资源

Climate change can impact ocean ecosystems through various mechanisms, such as shifts in primary productivity, ocean acidification, and deoxygenation. Global Earth system models (ESMs) are increasingly used in fisheries management and other marine resource applications, but projections of relevant metrics may vary widely between ESMs due to structural differences in biogeochemical sub-models. Understanding these differences is important for their application in marine resource management.
Climate change may impact ocean ecosystems through a number of mechanisms, including shifts in primary productivity or plankton community structure, ocean acidification, and deoxygenation. These processes can be simulated with global Earth system models (ESMs), which are increasingly being used in the context of fisheries management and other living marine resource (LMR) applications. However, projections of LMR-relevant metrics such as net primary production can vary widely between ESMs, even under identical climate scenarios. Therefore, the use of ESM should be accompanied by an understanding of the structural differences in the biogeochemical sub-models within ESMs that may give rise to these differences. This review article provides a brief overview of some of the most prominent differences among the most recent generation of ESM and how they are relevant to LMR application.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据