Author

A. Klosterhalfen

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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Plant Biology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Ghahramani· 2 shared A. Poyda· 2 shared A. Souissi· 2 shared B. Basso· 2 shared B. Dumont· 2 shared B. Maestrini· 2 shared C. Dibari· 2 shared C. Garcia· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPlant Biology

A. Ghahramani

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Author profile →

3 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 chaos in calibrating crop models

D. Wallach, T. Palosuo, P. Thorburn, Z. Hochman, E. Gourdain, F. Andrianasolo, S. Asseng, B. Basso, S. Buis, N. Crout, C. Dibari, B. Dumont, R. Ferrise, T. Gaiser, C. Garcia, , Srivas

The paper proposes a method to develop calibration guidelines for system models by analyzing multi-model simulations, applying it to crop model phenology calibration and providing recommendations on objective functions, parameters, and software.

bioRxiv · Sep 12, 2020 · PreprintPlant Biology

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

D. Wallach, T. Palosuo, P. Thorburn, E. Gourdain, S. Asseng, B. Basso, S. Buis, N. Crout, C. Dibari, B. Dumont, R. Ferrise, T. Gaiser, C. Garcia, S. Gayler, A. Ghahramani, , J. Wang

This study evaluates how well 27 crop modeling groups predict wheat phenology in Northern France using calibration data from the same target population, finding mean absolute errors comparable to measurement error.

bioRxiv · Mar 30, 2020Plant Biology