Author

S. Burrascano

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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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:database / resource· 1 Assay:metagenomics· 1 Organism:multiple species· 1

Frequent Co-Authors

A. B. Fernandez Lopez· 1 shared A. Diku· 1 shared A. Friedlander· 1 shared A. Gavioli· 1 shared A. Kis· 1 shared A. Kraut· 1 shared A. Ruete· 1 shared A. T. R. Acosta· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

A. B. Fernandez Lopez

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3 papers

Recent·Most cited

EcologyGlobal Ecology and BiogeographyPeer-reviewedMay 12, 2022

Distance decay 2.0 - a global synthesis of taxonomic and functional turnover in ecological communities.

C. Graco-Roza, S. Aarnio, N. Abrego…·Hunter

This paper synthesizes global taxonomic and functional distance decay patterns across 149 datasets, finding taxonomic decay is stronger than functional decay, with mid-latitude datasets showing the fastest taxonomic spatial decay.

DOI 10.1111/geb.13513

multiple speciesmetagenomics

𝕏 PostBluesky

EcologybioRxivPreprintFeb 11, 2021

With great power comes great responsibility: an analysis of sustainable forest management quantitative indicators in the DPSIR framework

Y. Paillet, T. Campagnaro, S. Burrascano…·G. Vacchiano

The paper analyzes sustainable forest management indicators using the DPSIR framework and identifies gaps in their classification and relevance for policy-making.

DOI 10.1101/2021.02.11.430737

statistical modelecology & biodiversity

𝕏 PostBluesky

EcologybioRxivPreprintOct 30, 2020

European Primary Forest Database (EPFD) v2.0

F. M. Sabatini, H. Bluhm, Z. Kun…·Zla

The paper updates the European Primary Forest Database (EPFD) v2.0 by harmonizing 48 datasets to map 18,411 primary forest patches across Europe, assessing their disturbance status using Landsat data.

DOI 10.1101/2020.10.30.362434

statistical modeldatabase / resource

𝕏 PostBluesky