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首页> 外文期刊>Limnologica >Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: Intra-annual observations from Sentinel-2A
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Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: Intra-annual observations from Sentinel-2A

机译：空间中浅水湖中主要生产商的空间和时间动态：Sentinel-2a的年内观察

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Under the current high anthropic pressure and climate change scenarios, a trend towards increasing changes in the trophic status of shallow lakes, and the development of opportunistic floating species is to be expected. This raises the need for monitoring and management actions to prevent widespread environmentally negative effects (e.g., anoxia). An efficient approach to monitoring water quality and primary producers in inland waters is to integrate in situ with remote sensing data. In this work, satellite multispectral data acquired by Sentinel-2 A are used to assess the intra-annual spatial and temporal dynamics of phytoplankton abundance, in terms of chlorophyll-a (Chl-a) concentration and macrophyte Leaf Area Index (LAI) in a shallow eutrophic fluvial lake system (Mantua Lakes, Italy). Chl-a concentrations and LAI were derived from Sentinel-2 A data by applying a semi-empirical band ratio algorithm combined with a bio-optical model (BOMBER) for the former (Chl-a), and a semi-empirical model for the latter (LAI). These products were validated against in situ data (rRMSE = 20% for both products; R-2 = 0.93 for Chl-a; R-2 = 0.83 for LAI). Phytoplankton maps showed a marked intra-annual spatial and temporal variability, generally revealing a Chl-a concentration gradient from lotic to lentic waters. Air temperature was the main driver of Chl-a concentration, followed by water discharge and precipitation. The macrophyte LAI followed aquatic plant growth seasonally, and was independent of the hydro-meteorological data. Allochthonous and invasive macrophyte species (such as Nelumbo nucifera and Ludwigia hexapetala) had higher LAI compared than the Mantua Lakes' autochthonous floating-leaved species (e.g., Trapa natans and Nuphar lutea). Maps of the abundance of primary producers can be used to follow the temporal and spatial evolution of different communities and support management actions, e.g., by identifying potential algal bloom hotspots, or the optimal timing for
机译：在目前的高度的高度和气候变化场景下，预期越来越多的浅水区营养地位变化的趋势，以及机会主义浮动物种的发展。这提出了需要监测和管理行动，以防止广泛的环境负面影响（例如，缺氧）。在内陆水域监测水质和主要生产商的有效方法是使用遥感数据融合。在这项工作中，由Sentinel-2 A获取的卫星多光谱数据用于评估叶绿素-A（CHL-A）浓度和宏观物质叶区域指数（LAI）的植物植物丰富的年度空间和时间动态。浅兴奋性河湖系统（意大利Mantua Lakes）。通过将半经验频带比率算法与前者（CHL-A）的生物光学模型（Bomber）组合的半经验频率比算法和半经验模型相结合，从Sentinel-2 A浓度和Lai衍生自Sentinel-2 A数据。和半经验模型后者（莱）。这些产品以原位数据（rrmse = 20％用于两种产品; r-2 = 0.93的chl-a; r-2 = 0.83）。 Phytoplankton地图显示了一年内的历时的空间和时间变异性，通常揭示了从荷兰到偶然水的CHL-A浓度梯度。空气温度是CHL-A浓度的主要驱动器，其次是排水和沉淀。麦克酸赖伴水生植物生长季节性，并独立于水流气象数据。与Mantua Lakes Autochthonous浮血叶（例如，Trapa Natisans和Nuphar Lutea）相比，表演和侵入性宏观物种（如Nelumbo Nucifera和Ludwigia Hexapetala）的含量较高。初级生产者丰富的地图可用于遵循不同社区的时间和空间演进，并支持管理行动，例如，通过识别潜在的藻类绽放热点或最佳时机

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