Author

M. Torresani

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· 4

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 4 Assay:imaging· 3 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Assay:metagenomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

D. Rocchini· 4 shared M. Malavasi· 4 shared P. Simova· 4 shared V. Moudry· 4 shared J. Lenoir· 2 shared L. Conti· 2 shared M. Perrone· 2 shared M. Wegmann· 2 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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4 shared papersEcology

D. Rocchini

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4 papers

Recent·Most cited

"Flower power": how flowering affects spectral diversity metrics and their relationship with plant diversity

M. Perrone, L. Conti, T. Galland, J. Komarek, O. Lagner, M. Torresani, C. Rossi, C. P. Carmona, F. de Bello, D. Rocchini, V. Moudry, P. Simova, S. Bagella, M. Malavasi

This study evaluates how flowering affects spectral diversity metrics and their relationship with plant diversity in grasslands, finding significant but low-explained variance in the link when using categorical metrics.

bioRxiv · Dec 11, 2023Ecology

The relationship between spectral and plant diversity: disentangling the influence of metrics and habitat types

M. Perrone, M. Di Febbraro, L. Conti, J. Divisek, M. Chytry, P. Keil, M. L. Carranza, D. Rocchini, M. Torresani, V. Moudry, P. Simova, D. Prajzlerova, J. Müllerova, J. Wild, M. Malavasi

This study evaluates the relationship between spectral diversity metrics and plant biodiversity across different habitats in the Czech Republic, finding context-dependent results.

bioRxiv · Sep 5, 2022 · PreprintEcology

rasterdiv - an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

D. Rocchini, E. Thouverai, M. Marcantonio, M. Iannacito, D. Da Re, M. Torresani, G. Bacaro, M. Bazzichetto, A. Bernard, G. M. Foody, R. Furrer, D. Kleijn, S. Larsen, J. Lenoir, M. Malavasi, , M. Wegmann

The paper introduces an R package called rasterdiv for measuring ecosystem heterogeneity using remotely sensed data and demonstrates its application in revealing hidden heterogeneity patterns.

bioRxiv · Feb 9, 2021Ecology

From local spectral species to global spectral communities: a benchmark for ecosystem diversity estimate by remote sensing

D. Rocchini, N. Salvatori, C. Beierkuhnlein, A. Chiarucci, F. de Boissieu, M. Foerster, C. X. Garzon-Lopez, T. W. Gillespie, H. C. Hauffe, K. S. He, B. Kleinschmit, J. Lenoir, M. Malavasi, V. Moudry, H. Nagendra, , J.-B. Feret

The paper benchmarks a method to estimate ecosystem diversity using remote sensing data by analyzing spectral species and their spatial distribution across Europe.

bioRxiv · Nov 4, 2020Ecology