Andrew Richardson

Professor

Northern Arizona University

United States

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About

Andrew Richardson is a Professor at Northern Arizona University in the United States. His research focuses on ecosystem dynamics, canopy temperature, and carbon flux measurements, drawing insights from machine learning applications. He has recently published articles on topics such as phenological transitions in the Northern Hemisphere and tree growth phenology in forest ecosystems.

Articles (30)

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2022

Collaborators (30)

Lin Meng

Assistant Professor

Vanderbilt University

UNITED STATES

Andrew Richardson

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About

Articles (30)

Machine Learning-Based Prediction of Ecosystem-Scale CO2 Flux Measurements

Decades‐old carbon reserves are widespread among tree species, constrained only by sapwood longevity

Drivers of canopy temperature dynamics across diverse ecosystems

Cooling outweighs warming across phenological transitions in the Northern Hemisphere

Robust filling of extra-long gaps in eddy covariance CO2 flux measurements from a temperate deciduous forest using eXtreme Gradient Boosting

Robust filling of extra-long gaps in eddy covariance CO<sub>2</sub> flux measurements from a temperate deciduous forest using eXtreme Gradient Boosting

Machine Learning-Based Prediction of Ecosystem-Scale CO<sub>2</sub> Flux Measurements

From Roots to Leaves: Tree Growth Phenology in Forest Ecosystems

Predicting end-of-season timing across diverse North American grasslands

Recommendations for developing, documenting, and distributing data products derived from NEON data

Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America

Phenology of Photosynthesis in Winter‐Dormant Temperate and Boreal Forests: Long‐Term Observations From Flux Towers and Quantitative Evaluation of Phenology Models

Canopy temperature dynamics are closely aligned with ecosystem water availability across a water- to energy-limited gradient

DeepPhenoMem V1.0: deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology

The PROLIB leaf radiative transfer model: Simulation of the dorsiventrality of leaves from visible to mid-wave infrared

AFM Special Issue Summary - Integrating Surface Flux with Boundary Layer Measurements

Experimental Whole‐Ecosystem Warming Enables Novel Estimation of Snow Cover and Depth Sensitivities to Temperature, and Quantification of the Snow‐Albedo Feedback Effect

Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge

Using phenology to unravel differential soil water use and productivity in a semiarid savanna

Snow-corrected vegetation indices for improved gross primary productivity assessment in North American evergreen forests

Carbon starvation following a decade of experimental drought consumes old reserves in Pinus edulis

Using long‐term data from a whole ecosystem warming experiment to identify best spring and autumn phenology models

Leaf phenology as an indicator of ecological integrity

An incubation method to determine the age of available nonstructural carbon in woody plant tissues

The NEON Ecological Forecasting Challenge

Interannual precipitation controls on soil CO2 fluxes in high elevation conifer and aspen forests

Detecting long‐term changes in stomatal conductance: challenges and opportunities of tree‐ring δ18O proxy

Evergreen broadleaf greenness and its relationship with leaf flushing, aging, and water fluxes

Insights into source/sink controls on wood formation and photosynthesis from a stem chilling experiment in mature red maple

Disentangling the Relative Drivers of Seasonal Evapotranspiration Across a Continental‐Scale Aridity Gradient

Collaborators (30)

Lin Meng

Andreas Westergaard-Nielsen

Annemarie Hildegard Eckes-Shephard

Christian Reimers

Gerardo Moreno

Mariah Carbone

Jia Hu

Annette Menzel

David JP Moore

Tim Rademacher

J. William Munger

Benjamin Lucas

Asko Noormets

Rossella Guerrieri

Yann Vitasse

Henry Adams

Scott Ollinger

Masahito Ueyama

Thomas Kolb

Minkyu Moon

Michael Bahn

PETER BLANKEN

Yunpeng Luo

Kai Zhu

Mark Friedl

Alexander J. Winkler

Amy M. Trowbridge

R. Quinn Thomas

Natasha MacBean

M. Altaf Arain

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