4.7 Article

Distribution and impacts of long-lasting marine heat waves on phytoplankton biomass

期刊

FRONTIERS IN MARINE SCIENCE
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmars.2023.1177571

关键词

marine heat waves; remote sensing data; shifting baseline; K-means (KM) clustering; phytoplankton biomass

向作者/读者索取更多资源

Warm temperature anomalies in the global ocean are increasing and may have consequences on marine ecosystems. This study analyzes the distribution and dynamics of marine heat waves (MHWs) and evaluates their impacts on phytoplankton communities. The findings suggest that different drivers can generate MHWs, leading to varied effects on phytoplankton dynamics across different ocean regions.
Warm temperature anomalies are increasing in frequency in the global ocean with potential consequences on the goods and services provided by marine ecosystems. Recent studies have analyzed the distribution and dynamics of marine heat waves (MHWs) and evaluated their impacts on marine habitats. Different drivers can generate those anomalies and the emerging attributes can vary significantly both in space and time, with potentially different effects on marine biology. In this paper we classify MHWs based ontheir attributes and using different baselines, to account for different adaptive responses in phytoplankton dynamics. Specifically, we evaluate the impacts of the most extreme, long-lasting and high-intensity MHWs on phytoplankton communities using remote sensing data. We demonstrate marginal impacts on total chlorophyll concentrations which can be different across different ocean regions. These contrasting effects on phytoplankton dynamics are most likely the results of the different mechanisms generating the MHWs in the first place, including changes in front dynamics, shallower mixed layers, and eddy dynamics. We conclude that those drivers producing extreme MHWs can also induce different phytoplankton responses across the global ocean.

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