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