Author

A. R. Desai

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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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

K. A. Novick· 2 shared A. D. Richardson· 1 shared A. Ibrom· 1 shared A. Klosterhalfen· 1 shared A. Morfin· 1 shared A. N. Shiklomanov· 1 shared A. Noormets· 1 shared A. Singh· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersEcology

K. A. Novick

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Author profile →

4 papers

Recent·Most cited

Phenology across scales: an intercontinental analysis of leaf-out dates in temperate deciduous tree communities

N. Delpierre, S. Garnier, H. Treuil-Dussouet, K. Hufkens, J. Lin, C. Beier, M. Bell, D. Berveiller, M. Cuntz, G. Curioni, K. Dahlin, S. O. Denham, A. R. Desai, J.-C. Domec, K. M. Hart, , K. Soudani

The paper analyzes leaf-out variability across temperate deciduous forests in North America and Europe, finding similar intra-community variability despite differences in species richness and environmental conditions.

bioRxiv · Nov 21, 2023Ecology

The global distribution of paired eddy covariance towers

P. C. Stoy, H. Chu, E. Dahl, D. S. Cala, V. Shveytser, S. Wiesner, A. R. Desai, K. A. Novick

The paper identifies 56% of global eddy covariance towers as paired, finds they sample richer soils and different climates than the global network, and highlights data gaps in certain regions and ecosystems.

bioRxiv · Mar 3, 2023 · PreprintEcology

Variability in Forest Plant Traits along the Western Ghats of India and Their Environmental Drivers at Different Resolutions

T. Zheng, A. Singh, A. R. Desai, N. S. R. Krishnayya, P. A. Townsend

The paper maps plant trait variability across different spatial resolutions in the Western Ghats using imaging spectroscopy and identifies environmental drivers of trait variation.

bioRxiv · Feb 1, 2023Ecology

Capturing site-to-site variability through Hierarchical Bayesian calibration of a process-based dynamic vegetation model

I. Fer, A. N. Shiklomanov, K. A. Novick, C. M. Gough, M. A. Arain, J. Chen, B. Murphy, A. R. Desai, M. C. Dietze

This paper introduces a hierarchical Bayesian calibration method for dynamic vegetation models, showing it improves prediction accuracy by accounting for site-to-site parameter variability.

bioRxiv · Apr 28, 2021 · PreprintEcology