Author

M. Pinardi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Assay:imaging· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

P. Villa· 3 shared M. Bresciani· 2 shared R. Bolpagni· 2 shared V. R. Toth· 2 shared F. Nedelcut· 1 shared J.-M. Gillier· 1 shared P. Zinke· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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3 shared papersEcology

P. Villa

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3 papers

Recent·Most cited

Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species

P. Villa, R. Bolpagni, M. Pinardi, V. R. Toth

The paper shows leaf reflectance can accurately surrogate structural and biochemical traits of macrophytes with <20% error, but performs variably for photophysiological traits across species.

bioRxiv · Jun 3, 2020Ecology

Aspects of invasiveness of Ludwigia and Nelumbo in shallow temperate fluvial lakes

V. R. Toth, P. Villa, M. Pinardi, M. Bresciani

This study compares physiological and ecological traits of invasive and native aquatic plants in Mantua lakes to assess their invasiveness and adaptive responses to the environment.

bioRxiv · Dec 21, 2018Ecology

Assessing macrophyte seasonal dynamics using dense time series of medium resolution satellite data

P. Villa, M. Pinardi, R. Bolpagni, J.-M. Gillier, P. Zinke, F. Nedelcut, M. Bresciani

This study evaluates the use of medium-resolution satellite data to quantify macrophyte phenology in three European lakes, showing that 15-day resolution can accurately map growth patterns with minimal error.

bioRxiv · May 9, 2018Ecology