Stephen D.J. Lang , Philip D. Doherty , Brendan J. Godley , Shing Yip Lee , Felix Leung , Manmohan D. Sharma , Kristian Metcalfe
{"title":"快速发展的沿海特大城市水域中海上船只的空间足迹","authors":"Stephen D.J. Lang , Philip D. Doherty , Brendan J. Godley , Shing Yip Lee , Felix Leung , Manmohan D. Sharma , Kristian Metcalfe","doi":"10.1016/j.marpol.2025.106739","DOIUrl":null,"url":null,"abstract":"<div><div>Coastal megalopolises are transportation gateways of the global economy, but marine traffic around these developed urban areas exerts considerable pressure on the environment. A key starting point in understanding how this pressure may impact marine species and ecosystems is to map the spatial footprint of maritime vessels. Using six years of vessel tracking data from 2013–18, we mapped fine-scale spatial (0.002°) and temporal (daily) distribution of marine traffic within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) — a coastal megalopolis with the largest population (∼86 million) and second-largest economy of bay areas globally. Data indicates that on average, 5981 ( ± 1941 SD) unique vessels were active in the GBA daily. Space-use of both fishing and non-fishing vessels showed temporally consistent, persistent, and spatially-dense coverage, with 80 % of vessel traffic occurring in shallow water (0–20 m). Movement in such shallow water of the GBA likely results in increased rates of shoreline erosion, turbidity, noise pollution, and vessel collisions — posing a substantial threat to many regionally important marine species of conservation concern. Daily rates of disturbance in the GBA by non-fishing vessels were eight times higher than for fishing vessels, with some areas experiencing disturbance across more than 95 % of days in the study period. Our findings highlight how AIS data holds a wealth of information that takes considerable computing power to extract, so we make our processed datasets openly accessible to aid in future marine conservation planning and analyses.</div></div>","PeriodicalId":48427,"journal":{"name":"Marine Policy","volume":"179 ","pages":"Article 106739"},"PeriodicalIF":3.5000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial footprint of maritime vessels in the waters of a fast-growing coastal megalopolis\",\"authors\":\"Stephen D.J. Lang , Philip D. Doherty , Brendan J. Godley , Shing Yip Lee , Felix Leung , Manmohan D. Sharma , Kristian Metcalfe\",\"doi\":\"10.1016/j.marpol.2025.106739\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Coastal megalopolises are transportation gateways of the global economy, but marine traffic around these developed urban areas exerts considerable pressure on the environment. A key starting point in understanding how this pressure may impact marine species and ecosystems is to map the spatial footprint of maritime vessels. Using six years of vessel tracking data from 2013–18, we mapped fine-scale spatial (0.002°) and temporal (daily) distribution of marine traffic within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) — a coastal megalopolis with the largest population (∼86 million) and second-largest economy of bay areas globally. Data indicates that on average, 5981 ( ± 1941 SD) unique vessels were active in the GBA daily. Space-use of both fishing and non-fishing vessels showed temporally consistent, persistent, and spatially-dense coverage, with 80 % of vessel traffic occurring in shallow water (0–20 m). Movement in such shallow water of the GBA likely results in increased rates of shoreline erosion, turbidity, noise pollution, and vessel collisions — posing a substantial threat to many regionally important marine species of conservation concern. Daily rates of disturbance in the GBA by non-fishing vessels were eight times higher than for fishing vessels, with some areas experiencing disturbance across more than 95 % of days in the study period. Our findings highlight how AIS data holds a wealth of information that takes considerable computing power to extract, so we make our processed datasets openly accessible to aid in future marine conservation planning and analyses.</div></div>\",\"PeriodicalId\":48427,\"journal\":{\"name\":\"Marine Policy\",\"volume\":\"179 \",\"pages\":\"Article 106739\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marine Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308597X2500154X\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Policy","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308597X2500154X","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Spatial footprint of maritime vessels in the waters of a fast-growing coastal megalopolis
Coastal megalopolises are transportation gateways of the global economy, but marine traffic around these developed urban areas exerts considerable pressure on the environment. A key starting point in understanding how this pressure may impact marine species and ecosystems is to map the spatial footprint of maritime vessels. Using six years of vessel tracking data from 2013–18, we mapped fine-scale spatial (0.002°) and temporal (daily) distribution of marine traffic within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) — a coastal megalopolis with the largest population (∼86 million) and second-largest economy of bay areas globally. Data indicates that on average, 5981 ( ± 1941 SD) unique vessels were active in the GBA daily. Space-use of both fishing and non-fishing vessels showed temporally consistent, persistent, and spatially-dense coverage, with 80 % of vessel traffic occurring in shallow water (0–20 m). Movement in such shallow water of the GBA likely results in increased rates of shoreline erosion, turbidity, noise pollution, and vessel collisions — posing a substantial threat to many regionally important marine species of conservation concern. Daily rates of disturbance in the GBA by non-fishing vessels were eight times higher than for fishing vessels, with some areas experiencing disturbance across more than 95 % of days in the study period. Our findings highlight how AIS data holds a wealth of information that takes considerable computing power to extract, so we make our processed datasets openly accessible to aid in future marine conservation planning and analyses.
期刊介绍:
Marine Policy is the leading journal of ocean policy studies. It offers researchers, analysts and policy makers a unique combination of analyses in the principal social science disciplines relevant to the formulation of marine policy. Major articles are contributed by specialists in marine affairs, including marine economists and marine resource managers, political scientists, marine scientists, international lawyers, geographers and anthropologists. Drawing on their expertise and research, the journal covers: international, regional and national marine policies; institutional arrangements for the management and regulation of marine activities, including fisheries and shipping; conflict resolution; marine pollution and environment; conservation and use of marine resources. Regular features of Marine Policy include research reports, conference reports and reports on current developments to keep readers up-to-date with the latest developments and research in ocean affairs.