{"title":"全球集装箱运输排放与海洋初级生产之间的关系:地理和时间加权分析","authors":"Hongchu Yu , Yifan Lu , Zhixiang Fang , Lei Xu","doi":"10.1016/j.marenvres.2025.107195","DOIUrl":null,"url":null,"abstract":"<div><div>Ocean sustainability is a critical global issue. However, increasing CO<sub>2</sub> emissions from container shipping have adversely impacted marine ecosystems. Oceanic net primary production (NPP) is a key indicator of marine ecosystem health. Despite abundant research showing a relationship between CO<sub>2</sub> and NPP, limited attention has been given to the relationship between CO<sub>2</sub> emissions from ships and NPP. This study estimates global CO<sub>2</sub> emissions from container shipping from 2018 to 2021 using the Ship Traffic Emission Assessment Model (STEAM), then combines remote sensing NPP data and applies a geographically and temporally weighted regression (GTWR) model to explore their spatiotemporal relationship. The results reveal the temporal variation patterns, hotspot regions, and clustering characteristics of CO<sub>2</sub> emissions from container shipping and NPP. Furthermore, the findings indicate that NPP's response to CO<sub>2</sub> emissions shows varying correlations. In western South America, southwestern Africa, the equatorial Atlantic, and the southern Greenland Sea, CO<sub>2</sub> emissions from container shipping promote NPP, while in the Indian Ocean, Black Sea, Mediterranean Sea, and North Atlantic, CO<sub>2</sub> emissions inhibit NPP. That implies differing environmental sensitivities and the variations in balance between the positive effects of increased dissolved inorganic carbon (DIC) and the negative effects of ocean acidification. This study clarifies the spatiotemporal heterogeneous relationship between CO<sub>2</sub> emissions from container shipping and NPP, providing strong support for the development of sustainable oceans.</div></div>","PeriodicalId":18204,"journal":{"name":"Marine environmental research","volume":"209 ","pages":"Article 107195"},"PeriodicalIF":3.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How global container shipping emissions and marine primary production are related to: A geographically and temporally weighted analysis\",\"authors\":\"Hongchu Yu , Yifan Lu , Zhixiang Fang , Lei Xu\",\"doi\":\"10.1016/j.marenvres.2025.107195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Ocean sustainability is a critical global issue. However, increasing CO<sub>2</sub> emissions from container shipping have adversely impacted marine ecosystems. Oceanic net primary production (NPP) is a key indicator of marine ecosystem health. Despite abundant research showing a relationship between CO<sub>2</sub> and NPP, limited attention has been given to the relationship between CO<sub>2</sub> emissions from ships and NPP. This study estimates global CO<sub>2</sub> emissions from container shipping from 2018 to 2021 using the Ship Traffic Emission Assessment Model (STEAM), then combines remote sensing NPP data and applies a geographically and temporally weighted regression (GTWR) model to explore their spatiotemporal relationship. The results reveal the temporal variation patterns, hotspot regions, and clustering characteristics of CO<sub>2</sub> emissions from container shipping and NPP. Furthermore, the findings indicate that NPP's response to CO<sub>2</sub> emissions shows varying correlations. In western South America, southwestern Africa, the equatorial Atlantic, and the southern Greenland Sea, CO<sub>2</sub> emissions from container shipping promote NPP, while in the Indian Ocean, Black Sea, Mediterranean Sea, and North Atlantic, CO<sub>2</sub> emissions inhibit NPP. That implies differing environmental sensitivities and the variations in balance between the positive effects of increased dissolved inorganic carbon (DIC) and the negative effects of ocean acidification. This study clarifies the spatiotemporal heterogeneous relationship between CO<sub>2</sub> emissions from container shipping and NPP, providing strong support for the development of sustainable oceans.</div></div>\",\"PeriodicalId\":18204,\"journal\":{\"name\":\"Marine environmental research\",\"volume\":\"209 \",\"pages\":\"Article 107195\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marine environmental research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0141113625002521\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine environmental research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141113625002521","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
How global container shipping emissions and marine primary production are related to: A geographically and temporally weighted analysis
Ocean sustainability is a critical global issue. However, increasing CO2 emissions from container shipping have adversely impacted marine ecosystems. Oceanic net primary production (NPP) is a key indicator of marine ecosystem health. Despite abundant research showing a relationship between CO2 and NPP, limited attention has been given to the relationship between CO2 emissions from ships and NPP. This study estimates global CO2 emissions from container shipping from 2018 to 2021 using the Ship Traffic Emission Assessment Model (STEAM), then combines remote sensing NPP data and applies a geographically and temporally weighted regression (GTWR) model to explore their spatiotemporal relationship. The results reveal the temporal variation patterns, hotspot regions, and clustering characteristics of CO2 emissions from container shipping and NPP. Furthermore, the findings indicate that NPP's response to CO2 emissions shows varying correlations. In western South America, southwestern Africa, the equatorial Atlantic, and the southern Greenland Sea, CO2 emissions from container shipping promote NPP, while in the Indian Ocean, Black Sea, Mediterranean Sea, and North Atlantic, CO2 emissions inhibit NPP. That implies differing environmental sensitivities and the variations in balance between the positive effects of increased dissolved inorganic carbon (DIC) and the negative effects of ocean acidification. This study clarifies the spatiotemporal heterogeneous relationship between CO2 emissions from container shipping and NPP, providing strong support for the development of sustainable oceans.
期刊介绍:
Marine Environmental Research publishes original research papers on chemical, physical, and biological interactions in the oceans and coastal waters. The journal serves as a forum for new information on biology, chemistry, and toxicology and syntheses that advance understanding of marine environmental processes.
Submission of multidisciplinary studies is encouraged. Studies that utilize experimental approaches to clarify the roles of anthropogenic and natural causes of changes in marine ecosystems are especially welcome, as are those studies that represent new developments of a theoretical or conceptual aspect of marine science. All papers published in this journal are reviewed by qualified peers prior to acceptance and publication. Examples of topics considered to be appropriate for the journal include, but are not limited to, the following:
– The extent, persistence, and consequences of change and the recovery from such change in natural marine systems
– The biochemical, physiological, and ecological consequences of contaminants to marine organisms and ecosystems
– The biogeochemistry of naturally occurring and anthropogenic substances
– Models that describe and predict the above processes
– Monitoring studies, to the extent that their results provide new information on functional processes
– Methodological papers describing improved quantitative techniques for the marine sciences.