Justin Maxwell

Dr. Justin Maxwell

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 May 2019 in Global Change Biology
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Journal Article
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SKSteven A. Kannenberg
Steven A. Kannenberg
KNKim Novick
Kim Novick
MAM. Ross Alexander
M. Ross Alexander
JMJustin Maxwell
Justin Maxwell
DMDavid J. P. Moore
David J. P. Moore
WAWilliam R. L. Anderegg
William R. L. Anderegg

20 February 2018 in Global Change Biology
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Journal Article
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LDLoïc D'ORangeville
Loïc D'ORangeville
JMJustin Maxwell
Justin Maxwell
DKDaniel Kneeshaw
Daniel Kneeshaw
NPNeil Pederson
Neil Pederson
LDLouis Duchesne
Louis Duchesne
RPRichard P. Phillips
Richard P. Phillips

13 May 2022 in Science
Verified
Journal Article
Closed access
ACAntoine Cabon
Antoine Cabon
SKSteven A. Kannenberg
Steven A. Kannenberg
AAAltaf Arain
Altaf Arain
FBFlurin Babst
Flurin Babst
DBDennis Baldocchi
Dennis Baldocchi
WAWilliam R. L. Anderegg
William R. L. Anderegg
Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of forest carbon sequestration and response to climate change. The prevalence and extent to which carbon assimilation (source) or cambial activity (sink) mediate wood production are fundamentally important and remain elusive. We quantified source-sink relations across biomes by combining eddy-covariance gross primary production with extensive on-site and regional tree ring observations. We found widespread temporal decoupling between carbon assimilation and tree growth, underpinned by contrasting climatic sensitivities of these two processes. Substantial differences in assimilation-growth decoupling between angiosperms and gymnosperms were determined, as well as stronger decoupling with canopy closure, aridity, and decreasing temperatures. Our results reveal pervasive sink control over tree growth that is likely to be increasingly prominent under global climate change.

8 November 2018 in Ecology Letters
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Journal Article
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SKSteven A Kannenberg
Steven A Kannenberg
JMJustin Maxwell
Justin Maxwell
NPNeil Pederson
Neil Pederson
LDLoïc D'Orangeville
Loïc D'Orangeville
DFDarren Ficklin
Darren Ficklin
RPRichard P Phillips
Richard P Phillips

15 October 2021 in Global Change Biology
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Journal Article
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KAKristina J. Anderson‐Teixeira
Kristina J. Anderson‐Teixeira
VHValentine Herrmann
Valentine Herrmann
CRChristine Rollinson
Christine Rollinson
BGBianca Gonzalez
Bianca Gonzalez
EGErika B. Gonzalez‐Akre
Erika B. Gonzalez‐Akre
PZPieter A. Zuidema
Pieter A. Zuidema
Tree rings provide an invaluable long‐term record for understanding how climate and other drivers shape tree growth and forest productivity. However, conventional tree‐ring analysis methods were not designed to simultaneously test effects of climate, tree size, and other drivers on individual growth. This has limited the potential to test ecologically relevant hypotheses on tree growth sensitivity to environmental drivers and their interactions with tree size. Here, we develop and apply a new method to simultaneously model nonlinear effects of primary climate drivers, reconstructed tree diameter at breast height (DBH), and calendar year in generalized least squares models that account for the temporal autocorrelation inherent to each individual tree's growth. We analyze data from 3811 trees representing 40 species at 10 globally distributed sites, showing that precipitation, temperature, DBH, and calendar year have additively, and often interactively, influenced annual growth over the past 120 years. Growth responses were predominantly positive to precipitation (usually over ≥3‐month seasonal windows) and negative to temperature (usually maximum temperature, over ≤3‐month seasonal windows), with concave‐down responses in 63% of relationships. Climate sensitivity commonly varied with DBH (45% of cases tested), with larger trees usually more sensitive. Trends in ring width at small DBH were linked to the light environment under which trees established, but basal area or biomass increments consistently reached maxima at intermediate DBH. Accounting for climate and DBH, growth rate declined over time for 92% of species in secondary or disturbed stands, whereas growth trends were mixed in older forests. These trends were largely attributable to stand dynamics as cohorts and stands age, which remain challenging to disentangle from global change drivers. By providing a parsimonious approach for characterizing multiple interacting drivers of tree growth, our method reveals a more complete picture of the factors influencing growth than has previously been possible.

17 August 2018 in New Phytologist
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Journal Article
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KYKoong Yi
Koong Yi
JMJustin Maxwell
Justin Maxwell
MWMatthew K. Wenzel
Matthew K. Wenzel
DRD. Tyler Roman
D. Tyler Roman
PSPeter E. Sauer
Peter E. Sauer
KNKimberly A. Novick
Kimberly A. Novick