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DOI | 10.1038/s41558-022-01489-0 |
Tipping points of marine phytoplankton to multiple environmental stressors | |
Ban, Zhan; Hu, Xiangang; Li, Jinghong | |
发表日期 | 2022 |
ISSN | 1758-678X |
EISSN | 1758-6798 |
起始页码 | 1045 |
结束页码 | + |
卷号 | 12期号:11页码:14 |
英文摘要 | The authors establish machine learning models to identify multifactor tipping points of global marine phytoplankton. They show that temperature and carbon dioxide dominate risks, and project crossing tipping points in tropical area production (50%) and resistance (41%) by 2100 under high emissions. Globally, anthropogenic climate change is threatening marine species. However, whether and how global marine phytoplankton, which represent the base of marine food webs, will exceed their tipping points under multiple climate factors remain unclear. Here, by establishing machine learning models, we identified the tipping points of global marine phytoplankton production and resistance under eight environmental stressors. Phytoplankton production and resistance are affected by multiple factors and the temperature and partial pressure of carbon dioxide dominate the risks for reaching their tipping points. If the current emission scenario continues, 50% (40-61% at 90% confidence) and 41% (2-80% at 90% confidence) of tropical areas would reach the tipping points of ongoing phytoplankton production and resistance decline, respectively, in 2100. Compared with single- or few-factor studies, machine learning (for example, ensemble machine learning) provides a powerful and realistic solution for policy-makers facing large-scale ecological responses to global climate changes under multiple environmental stressors. |
学科领域 | Environmental Sciences; Environmental Studies; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000865703700004 |
来源期刊 | NATURE CLIMATE CHANGE |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/274167 |
作者单位 | Nankai University; Tsinghua University |
推荐引用方式 GB/T 7714 | Ban, Zhan,Hu, Xiangang,Li, Jinghong. Tipping points of marine phytoplankton to multiple environmental stressors[J],2022,12(11):14. |
APA | Ban, Zhan,Hu, Xiangang,&Li, Jinghong.(2022).Tipping points of marine phytoplankton to multiple environmental stressors.NATURE CLIMATE CHANGE,12(11),14. |
MLA | Ban, Zhan,et al."Tipping points of marine phytoplankton to multiple environmental stressors".NATURE CLIMATE CHANGE 12.11(2022):14. |
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