Author

Xiaojie Gao

Harvard UniversityORCID 0000-0002-0607-7768Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Jonathan R. ThompsoniD· 3 shared Valerie J. PasquarellaiD· 2 shared Amey S. BaileyiD· 1 shared Andrew D. RichardsoniD· 1 shared Benjamin GlassiD· 1 shared Jaclyn Hatala MatthesiD· 1 shared John F. O'Keefe· 1 shared Luca L. MorrealeiD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersEcology

Jonathan R. ThompsonORCID

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3 papers

Recent·Most cited

A comparison shopper's guide to forest datasets

Lucy Lee, Valerie J. Pasquarella, Benjamin Glass, Luca L. Morreale, Nina Chung, Xiaojie Gao, Jonathan R. Thompson

The paper evaluates 27 forest cover datasets to identify differences in their estimates of forest extent and change, highlighting the importance of careful dataset selection.

Landscape Ecology · Nov 13, 2025Peer-reviewedEcology

Asymmetric Spring and Autumn Phenology Control Growing Season Length in Temperate Deciduous Forests

Xiaojie Gao, M. A. Friedl, Andrew D. Richardson, Valerie J. Pasquarella, John F. O'Keefe, Amey S. Bailey, Jonathan R. Thompson

The paper analyzes phenological dynamics across four decades and 10 tree species to show that spring and autumn phenology asymmetrically control growing season length, with spring driving interannual variation and autumn influencing long-term trends.

bioRxiv · Oct 21, 2025 · PreprintEcology

pnetr: An R package for the PnET family of forest ecosystem models

Xiaojie Gao, Zaixing Zhou, Scott V. Ollinger, Jaclyn Hatala Matthes, Wenzhe Jiao, Jonathan R. Thompson

The paper introduces the pnetr R package, which simplifies the use of PnET ecosystem models for ecological research and forecasting.

Methods in Ecology and Evolution · Jun 9, 2025Peer-reviewedEcology