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250814s2025 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.70317
|2 doi
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|a pubmed25n1530.xml
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|a (DE-627)NLM391141465
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|a DE-627
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|a eng
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|a Ogle, Kiona
|e verfasserin
|4 aut
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| 245 |
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|a Identifying the Climate Conditions Associated With Extreme Growth States in Trees Across the Western United States
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|c 2025
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 09.07.2025
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|a Date Revised 14.08.2025
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|a published: Print
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|a ErratumIn: Glob Chang Biol. 2025 Aug;31(8):e70445. doi: 10.1111/gcb.70445.. - PMID 40810395
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|a Citation Status MEDLINE
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|a © 2025 John Wiley & Sons Ltd.
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|a Climate extremes-e.g., drought, atmospheric rivers, heat waves-are increasing in severity and frequency across the western United States of America (USA). Tree-ring widths reflect the concurrent and legacy effects of such climate extremes, yet our ability to predict extreme tree growth is often poor. Could tree-ring data themselves identify the most important climate variables driving extreme low- and high-growth states? How does the importance of these climate drivers differ across species and time? To address these questions, we explored the spatial synchrony of extreme low- and high-growth years, the symmetry of climate effects on the probability of low- and high-growth years, and how climate drivers of extreme growth vary across tree species. We compiled ring widths for seven species (four gymnosperms and three angiosperms) from 604 sites in the western USA and classified each annual ring as representing extreme low, extreme high, or nominal growth. We used classification random forest (RF) models to evaluate the importance of 30 seasonal climate variables for predicting extreme growth, including precipitation, temperature, and vapor pressure deficit (VPD) during and up to four years prior to ring formation. For four species (three gymnosperms, one angiosperm) for which climate was predictive of growth, the RF models correctly classified 89%-98% and 80%-95% of low- and high-growth years, respectively. For these species, asymmetric climate responses dominated. Current-year winter hydroclimate (precipitation and VPD) was most important for predicting low growth, but prediction of high growth required multiple years of favorable moisture conditions, and the occurrence of low-growth years was more synchronous across space than high-growth years. Summer climate and temperature (regardless of season) were only weakly predictive of growth extremes. Our results motivate ecologically relevant definitions of drought such that current winter moisture stress exerts a dominant role in governing growth reductions in multiple tree species broadly distributed across the western USA
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|a Journal Article
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|a classification random forest
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|a drought impacts
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|a growth depression
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| 650 |
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|a machine learning
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| 650 |
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|a regression random forest
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| 650 |
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|a ring‐width indices
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| 650 |
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|a tree growth
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| 650 |
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4 |
|a tree rings
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| 700 |
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|a Barber, Jarrett J
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Strange, Brandon M
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Boone, Rohan D
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Formanack, Alicia M
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Peltier, Drew M P
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 31(2025), 7 vom: 07. Juli, Seite e70317
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnas
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| 773 |
1 |
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|g volume:31
|g year:2025
|g number:7
|g day:07
|g month:07
|g pages:e70317
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| 856 |
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|u http://dx.doi.org/10.1111/gcb.70317
|3 Volltext
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