دورية أكاديمية

Trends in phytoplankton communities within large marine ecosystems diverge from the global ocean

التفاصيل البيبلوغرافية
العنوان: Trends in phytoplankton communities within large marine ecosystems diverge from the global ocean
المؤلفون: Friedland, Kevin D., Moisan, John R., Maureaud, Aurore A., Brady, Damian C., Davies, Andrew J., Bograd, Steven J., Watson, Reg A., Rousseau, Yannick
المصدر: Canadian Journal of Fisheries and Aquatic Sciences ; volume 78, issue 11, page 1689-1700 ; ISSN 0706-652X 1205-7533
بيانات النشر: Canadian Science Publishing
سنة النشر: 2021
مصطلحات موضوعية: Aquatic Science, Ecology, Evolution, Behavior and Systematics
الوصف: Large marine ecosystems (LMEs) are highly productive regions of the world ocean under anthropogenic pressures; we analyzed trends in sea surface temperature (SST), cloud fraction (CF), and chlorophyll concentration (CHL) over the period 1998–2019. Trends in these parameters within LMEs diverged from the world ocean. SST and CF inside LMEs increased at greater rates inside LMEs, whereas CHL decreased at a greater rates. CHL declined in 86% of all LMEs and of those trends, 70% were statistically significant. Complementary analyses suggest phytoplankton functional types within LMEs have also diverged from those characteristic of the world ocean, most notably, the contribution of diatoms and dinoflagellates, which have declined within LMEs. LMEs appear to be warming rapidly and receiving less solar radiation than the world ocean, which may be contributing to changes at the base of the food chain. Despite increased fishing effort, fishery yields in LMEs have not increased, pointing to limitations related to productivity. These changes raise concerns over the stability of these ecosystems and their continued ability to support services to human populations.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1139/cjfas-2020-0423
الإتاحة: https://doi.org/10.1139/cjfas-2020-0423Test
حقوق: http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMiningTest
رقم الانضمام: edsbas.16E7C786
قاعدة البيانات: BASE