Author

N. Barve

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· 2 Zoology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

L. Brenskelle· 2 shared P. S. Soltis· 2 shared R. P. Guralnick· 2 shared V. Barve· 2 shared A. H. Arino· 1 shared A. Y. Kawahara· 1 shared B. D. Mishler· 1 shared B. McLean· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersEcology

L. Brenskelle

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Spatial phylogenetics of butterflies in relation to environmental drivers and angiosperm diversity across North America

C. Earl, M. W. Belitz, S. W. Laffan, V. Barve, N. Barve, D. E. Soltis, J. M. Allen, P. S. Soltis, B. D. Mishler, A. Y. Kawahara, R. P. Guralnick

This study compares spatial phylogenetic patterns of butterflies and flowering plants in North America, finding divergent biodiversity patterns and suggesting differences in habitat conservation.

bioRxiv · Jul 22, 2020Ecology

Methods for broad-scale plant phenology assessments using citizen scientists’ photographs

V. Barve, L. Brenskelle, D. Li, B. Stucky, N. Barve, M. Hantak, B. McLean, D. Paluh, J. Oswald, M. Belitz, R. A. Folk, R. P. Guralnick

The paper develops best practices for using iNaturalist citizen science data to assess plant flowering phenology, demonstrating its utility for studying unusual flowering events and integrating data into a global knowledge store.

bioRxiv · Sep 1, 2019Ecology

Research applications of primary biodiversity databases in the digital age

J. Ball-Damerow, L. Brenskelle, N. Barve, P. S. Soltis, P. Sierwald, R. Bieler, R. LaFrance, A. H. Arino, R. Guralnick

This study analyzes the use of biodiversity databases since 2010, finding common applications and highlighting gaps in data quality and integration.

bioRxiv · Apr 10, 2019Zoology