| publications-2521 |
Peer reviewed articles |
2020 |
Fabrizio Bernardi Aubry, Francesco Acri, Gian Marco Scarpa, Federica Braga |
Phytoplankton–Macrophyte Interaction in the Lagoon of Venice (Northern Adriatic Sea, Italy) |
Water |
10.3390/w12102810 |
Data Management & Analytics |
Natural Water Bodies |
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The coexistence of phytoplankton and macrophytes in the Lagoon of Venice (Northern Adriatic Sea, Italy) was investigated using in situ data collected monthly as part of International Long Term Ecosystem Research (LTER), together with satellite imagery for the period 1998–2017. The concentrations of chlorophyll a and hydrochemical parameters were measured in three areas of the lagoon, where the expansion of well-developed stands of submerged vegetation was observed by remote sensing. Our results suggest interaction between phytoplankton and macrophytes (macroalgae and seagrasses) in the last few years of the time series, evidenced by decreasing chlorophyll a concentrations in the vicinity of the macrophyte stands. The integration of LTER and remotely sensed data made it possible to evaluate the interaction of macrophytes and phytoplankton at the ecosystem scale for the first time in the Lagoon of Venice. |
776348 |
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| publications-2522 |
Peer reviewed articles |
2021 |
Pierre Gernez, Stephanie C. J. Palmer, Yoann Thomas, Rodney Forster |
Editorial: Remote Sensing for Aquaculture |
Frontiers in Marine Science |
10.3389/fmars.2020.638156 |
Uncategorized |
Aquaculture |
|
No abstract available |
776348 |
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| publications-2523 |
Peer reviewed articles |
2019 |
Debora Bellafiore; Christian Ferrarin; Federica Braga; Luca Zaggia; Francesco Maicu; Giuliano Lorenzetti; Giorgia Manfè; Vittorio E. Brando; Francesca De Pascalis |
Coastal mixing in multiple-mouth deltas: A case study in the Po delta, Italy |
Estuarine, Coastal and Shelf Science |
10.5281/zenodo.3604113 |
Simulation & Modeling |
River Basins |
|
No abstract available |
776348 |
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| publications-2524 |
Peer reviewed articles |
2020 |
Federica Braga, Gian Marco Scarpa, Vittorio Ernesto Brando, Giorgia Manfè, Luca Zaggia |
COVID-19 lockdown measures reveal human impact on water transparency in the Venice Lagoon |
Science of The Total Environment |
10.1016/j.scitotenv.2020.139612 |
Data Management & Analytics |
Natural Water Bodies |
|
No abstract available |
776348 |
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| publications-2525 |
Peer reviewed articles |
2021 |
Simon Oiry, Laurent Barillé |
Using sentinel-2 satellite imagery to develop microphytobenthos-based water quality indices in estuaries |
Ecological Indicators |
10.1016/j.ecolind.2020.107184 |
Data Management & Analytics |
River Basins |
|
No abstract available |
776348 |
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| publications-2526 |
Peer reviewed articles |
2019 |
Apostolos Apostolakis, Mauro F. Pereira |
Potential and limits of superlattice multipliers coupled to different input power sources |
Journal of Nanophotonics |
10.1117/1.jnp.13.036017 |
Uncategorized |
Uncategorized |
|
No abstract available |
832876 |
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| publications-2527 |
Peer reviewed articles |
2021 |
Maria Rousi, Vasileios Sitokonstantinou, Georgios Meditskos, Ioannis Papoutsis, Ilias Gialampoukidis, Alkiviadis Koukos, Vassilia Karathanassi, Thanassis Drivas, Stefanos Vrochidis, Charalampos Kontoes, Ioannis Kompatsiaris |
Semantically Enriched Crop Type Classification and Linked Earth Observation Data to Support the Common Agricultural Policy Monitoring |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
10.1109/jstars.2020.3038152 |
Data Management & Analytics |
Precipitation & Ecological Systems |
|
No abstract available |
832876 |
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| publications-2528 |
Peer reviewed articles |
2021 |
Michael W. Thayne, Benjamin M. Kraemer, Jorrit P. Mesman, Bastiaan W. Ibelings, Rita Adrian |
Antecedent lake conditions shape resistance and resilience of a shallow lake ecosystem following extreme wind storms |
Limnology and Oceanography |
10.1002/lno.11859 |
Simulation & Modeling |
Natural Water Bodies |
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AbstractExtreme wind storms can strongly influence short‐term variation in lake ecosystem functioning. Climate change is affecting storms by altering their frequency, duration, and intensity, which may have consequences for lake ecosystem resistance and resilience. However, catchment and lake processes are simultaneously affecting antecedent lake conditions which may shape the resistance and resilience landscape prior to storm exposure. To determine whether storm characteristics or antecedent lake conditions are more important for explaining variation in lake ecosystem resistance and resilience, we analyzed the effects of 25 extreme wind storms on various biological and physiochemical variables in a shallow lake. Using boosted regression trees to model observed variation in resistance and resilience, we found that antecedent lake conditions were more important (relative importance = 67%) than storm characteristics (relative importance = 33%) in explaining variation in lake ecosystem resistance and resilience. The most important antecedent lake conditions were turbidity, Schmidt stability, %O2 saturation, light conditions, and soluble reactive silica concentrations. We found that storm characteristics were all similar in their relative importance and results suggest that resistance and resilience decrease with increasing duration, mean precipitation, shear stress intensity, and time between storms. In addition, we found that antagonistic or opposing effects between the biological and physiochemical variables influence the overall resistance and resilience of the lake ecosystem under specific lake and storm conditions. The extent to which these results apply to the resistance and resilience of different lake ecosystems remains an important area for inquiry. |
722518 |
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| publications-2529 |
Peer reviewed articles |
2021 |
Tadhg N. Moore, Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer, Freya Olsson, Rachel M. Pilla, Tom Shatwell, Jason J. Venkiteswaran, Austin D. Delany, Hilary Dugan, Kevin C. Rose, Jordan S. Read |
LakeEnsemblR: An R package that facilitates ensemble modelling of lakes |
Environmental Modelling & Software |
10.1016/j.envsoft.2021.105101 |
Data Management & Analytics |
Natural Water Bodies |
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No abstract available |
722518 |
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| publications-2530 |
Peer reviewed articles |
2020 |
M. F. Pereira, V. Anfertev, Y. Shevchenko, V. Vaks |
Giant controllable gigahertz to terahertz nonlinearities in superlattices |
Scientific Reports |
10.1038/s41598-020-72746-5 |
Uncategorized |
Uncategorized |
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AbstractOptical nonlinearities are of perpetual importance, notably connected with emerging new materials. However, they are difficult to exploit in the gigahertz–terahertz (GHz–THz) range at room temperature and using low excitation power. Here, we present a clear-cut theoretical and experimental demonstration of real time, low power, room temperature control of GHz–THz nonlinearities. The nonlinear susceptibility concept, successful in most materials, cannot be used here and we show in contrast, a complex interplay between applied powers, voltages and asymmetric current flow, delivering giant control and enhancement of the nonlinearities. Semiconductor superlattices are used as nonlinear sources and as mixers for heterodyne detection, unlocking their dual potential as compact, room temperature, controllable sources and detectors. The low input powers and voltages applied are within the range of compact devices, enabling the practical extension of nonlinear optics concepts to the GHz–THz range, under controlled conditions and following a predictive design tool. |
832876 |
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