Under the current high anthropic pressure and climate change scenarios, a trend towards increasing alteration in trophic status of shallow lakes and the development of opportunistic floating species are to be expected. This would imply the need for monitoring and management actions in order to prevent broad environmentally negative effects (e.g. anoxia). An efficient approach in monitoring water quality and primary producers in inland waters is the integration of in situ with remote sensing data. In this work, satellite multispectral data acquired by Sentinel-2A 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 and LAI products were derived from Sentinel-2A data by applying a semi-empirical band ratio algorithm combined with a bio-optical model (BOMBER) and a semi-empirical model, respectively. These products were validated against in situ data (rRMSE = 20% for both products; R2 = 0.93 for Chl-a; R2 = 0.83 for LAI). Phytoplankton maps showed high intra-annual spatial and temporal variability, generally showing a Chl-a concentration gradient from lotic to lentic waters. Air temperature is the main driver on Chl-a concentration, followed by water discharge and precipitation. Macrophyte LAI follows the aquatic plant growth seasonality, and is independent of the hydro-meteorological data. Allochthonous and invasive macrophyte species (such as Nelumbo nucifera and Ludwigia hexapetala) presented the highest LAI values compared to the autochthonous floating-leaved species (e.g. Trapa natans and Nuphar lutea) of the Mantua Lakes. Primary producers abundance maps can be used to follow the temporal and spatial evolution of the different communities and support management actions, e.g. by identifying potential hotspot of algal blooms, or the optimal period to control invasive species overgrowth.

Pinardi, M., Bresciani, M., Villa, P., Cazzaniga, I., Laini, A., Vitóth, V., et al. (2018). Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: intra-annual observations from Sentinel-2A. LIMNOLOGICA, 72, 32-43 [10.1016/j.limno.2018.08.002].

Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: intra-annual observations from Sentinel-2A

Cazzaniga, I;
2018

Abstract

Under the current high anthropic pressure and climate change scenarios, a trend towards increasing alteration in trophic status of shallow lakes and the development of opportunistic floating species are to be expected. This would imply the need for monitoring and management actions in order to prevent broad environmentally negative effects (e.g. anoxia). An efficient approach in monitoring water quality and primary producers in inland waters is the integration of in situ with remote sensing data. In this work, satellite multispectral data acquired by Sentinel-2A 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 and LAI products were derived from Sentinel-2A data by applying a semi-empirical band ratio algorithm combined with a bio-optical model (BOMBER) and a semi-empirical model, respectively. These products were validated against in situ data (rRMSE = 20% for both products; R2 = 0.93 for Chl-a; R2 = 0.83 for LAI). Phytoplankton maps showed high intra-annual spatial and temporal variability, generally showing a Chl-a concentration gradient from lotic to lentic waters. Air temperature is the main driver on Chl-a concentration, followed by water discharge and precipitation. Macrophyte LAI follows the aquatic plant growth seasonality, and is independent of the hydro-meteorological data. Allochthonous and invasive macrophyte species (such as Nelumbo nucifera and Ludwigia hexapetala) presented the highest LAI values compared to the autochthonous floating-leaved species (e.g. Trapa natans and Nuphar lutea) of the Mantua Lakes. Primary producers abundance maps can be used to follow the temporal and spatial evolution of the different communities and support management actions, e.g. by identifying potential hotspot of algal blooms, or the optimal period to control invasive species overgrowth.
Articolo in rivista - Articolo scientifico
remote sensing; chlorophyll-a; macrophytes; LAI; phytoplankton; inland water
English
2018
72
32
43
none
Pinardi, M., Bresciani, M., Villa, P., Cazzaniga, I., Laini, A., Vitóth, V., et al. (2018). Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: intra-annual observations from Sentinel-2A. LIMNOLOGICA, 72, 32-43 [10.1016/j.limno.2018.08.002].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/204893
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