• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

MERIS 观测波罗的海浮游植物物候。

MERIS observations of phytoplankton phenology in the Baltic Sea.

机构信息

Key Laboratory of Ecological Impacts of Hydraulic-Projects and Restoration of Aquatic Ecosystem of Ministry of Water Resources, Institute of Hydroecology, Ministry of Water Resources and Chinese Academy of Sciences, Wuhan 430079, PR China; Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St. Mary, Dorking, Surrey RH5 6NT, UK.

Pixalytics Ltd., Plymouth Science Park, 1 Davy Road, Plymouth, Devon PL6 8BX, UK; School of Marine Science and Engineering, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK.

出版信息

Sci Total Environ. 2018 Nov 15;642:447-462. doi: 10.1016/j.scitotenv.2018.06.019. Epub 2018 Jun 14.

DOI:10.1016/j.scitotenv.2018.06.019
PMID:29908504
Abstract

The historical data from the MEdium Resolution Imaging Spectrometer (MERIS) is an invaluable archive for studying global waters from inland lakes to open oceans. Although the MERIS sensor ceased to operate in April 2012, the data capacities are now re-established through the recently launched Sentinel-3 Ocean and Land Colour Instrument (OLCI). The development of a consistent time series for investigating phytoplankton phenology features is crucial if the potential of MERIS and OLCI data is to be fully exploited for inland water monitoring. This study presents a time series of phytoplankton abundance and bloom spatial extent for the highly eutrophic inland water of the Baltic Sea using the 10-year MERIS archive (2002-2011) and a chlorophyll-a based Summed Positive Peaks (SPP) algorithm. A gradient approach in conjunction with the histogram analysis was used to determine a global threshold from the entire collection of SPP images for identifying phytoplankton blooms. This allows spatio-temporal dynamics of daily bloom coverage, timing, phytoplankton abundance and spatial extent to be investigated for each Baltic basin. Furthermore, a number of meteorological and hydrological variables, including spring excess phosphate, summer sea surface temperature and photosynthetically active radiation, were explored using boosted regression trees and generalised additive models to understand the ecological response of phytoplankton assemblages to environmental perturbations and potential predictor variables of summer blooms. The results indicate that the surface layer excess phosphate available in February and March had paramount importance over all other variables considered in governing summer bloom abundance in the major Baltic basins. This finding allows new insights into the development of early warning systems for summer phytoplankton blooms in the Baltic Sea and elsewhere.

摘要

MEdium Resolution Imaging Spectrometer(MERIS)的历史数据是研究从内陆湖泊到开阔海洋的全球水域的宝贵档案。尽管 MERIS 传感器已于 2012 年 4 月停止运行,但现在通过最近发射的 Sentinel-3 海洋陆地色仪(OLCI)重新建立了数据容量。如果要充分利用 MERIS 和 OLCI 数据来监测内陆水域,那么开发用于调查浮游植物物候特征的一致时间序列至关重要。本研究使用 10 年的 MERIS 档案(2002-2011 年)和基于叶绿素-a 的总和正峰(SPP)算法,为波罗的海这种高度富营养化的内陆水域提供了浮游植物丰度和浮游植物爆发空间范围的时间序列。梯度方法与直方图分析相结合,用于从整个 SPP 图像集合中确定一个全局阈值,以识别浮游植物爆发。这允许研究每个波罗的海盆地的每日爆发覆盖范围、时间、浮游植物丰度和空间范围的时空动态。此外,还使用提升回归树和广义加性模型探索了包括春季过剩磷酸盐、夏季海面温度和光合有效辐射在内的许多气象和水文变量,以了解浮游植物组合对环境干扰的生态响应以及夏季爆发的潜在预测变量。结果表明,2 月和 3 月表层过量磷酸盐的重要性超过了所有其他变量,这些变量在主要波罗的海盆地的夏季浮游植物爆发丰度中起重要作用。这一发现为波罗的海和其他地区夏季浮游植物爆发的早期预警系统的开发提供了新的见解。

相似文献

1
MERIS observations of phytoplankton phenology in the Baltic Sea.MERIS 观测波罗的海浮游植物物候。
Sci Total Environ. 2018 Nov 15;642:447-462. doi: 10.1016/j.scitotenv.2018.06.019. Epub 2018 Jun 14.
2
Determination of phytoplankton abundances (Chlorophyll-a) in the optically complex inland water - The Baltic Sea.测定光学复杂内陆水域(波罗的海)浮游植物丰度(叶绿素-a)。
Sci Total Environ. 2017 Dec 1;601-602:1060-1074. doi: 10.1016/j.scitotenv.2017.05.245. Epub 2017 Jun 9.
3
Seasonality of North Atlantic phytoplankton from space: impact of environmental forcing on a changing phenology (1998-2012).从太空看北大西洋浮游植物的季节性:环境强迫对不断变化的物候学的影响(1998-2012 年)。
Glob Chang Biol. 2014 Mar;20(3):698-712. doi: 10.1111/gcb.12352. Epub 2014 Jan 4.
4
Phenology of Trichodesmium spp. blooms in the Great Barrier Reef lagoon, Australia, from the ESA-MERIS 10-year mission.澳大利亚大堡礁泻湖中海藻 Trichodesmium spp. 水华的物候学,来自 ESA-MERIS 十年任务。
PLoS One. 2018 Dec 14;13(12):e0208010. doi: 10.1371/journal.pone.0208010. eCollection 2018.
5
Water temperature drives phytoplankton blooms in coastal waters.水温驱动沿海海域浮游植物水华。
PLoS One. 2019 Apr 5;14(4):e0214933. doi: 10.1371/journal.pone.0214933. eCollection 2019.
6
Evaluation of chlorophyll-a retrieval algorithms based on MERIS bands for optically varying eutrophic inland lakes.基于 MERIS 波段的叶绿素-a 反演算法在光变富营养化内陆湖泊中的评价。
Sci Total Environ. 2015 Oct 15;530-531:373-382. doi: 10.1016/j.scitotenv.2015.05.115. Epub 2015 Jun 5.
7
Remote sensing of bacterial response to degrading phytoplankton in the Arabian Sea.阿拉伯海细菌对降解浮游植物反应的遥感监测
Environ Monit Assess. 2016 Dec;188(12):662. doi: 10.1007/s10661-016-5666-8. Epub 2016 Nov 11.
8
Multi-sensor satellite and in situ monitoring of phytoplankton development in a eutrophic-mesotrophic lake.多传感器卫星与富营养-中营养湖泊浮游植物发展的原位监测。
Sci Total Environ. 2018 Jan 15;612:1200-1214. doi: 10.1016/j.scitotenv.2017.08.219. Epub 2017 Sep 8.
9
MODIS-Aqua detects Noctiluca scintillans and hotspots in the central Arabian Sea.中分辨率成像光谱仪-水色卫星探测到阿拉伯海中部的夜光藻和热点区域。
Environ Monit Assess. 2016 Jan;188(1):50. doi: 10.1007/s10661-015-5041-1. Epub 2015 Dec 21.
10
Satellite mapping reveals phytoplankton biomass's spatio-temporal dynamics and responses to environmental factors in a eutrophic inland lake.卫星测绘揭示了富营养化内陆湖泊中浮游植物生物量的时空动态及其对环境因素的响应。
J Environ Manage. 2024 Jun;360:121134. doi: 10.1016/j.jenvman.2024.121134. Epub 2024 May 14.