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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1111/nph.17043
|2 doi
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|a pubmed24n1055.xml
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|a (DE-627)NLM316810363
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|a (NLM)33112415
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Venturas, Martin D
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Understanding and predicting forest mortality in the western United States using long-term forest inventory data and modeled hydraulic damage
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| 264 |
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|c 2021
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 14.05.2021
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|a Date Revised 14.05.2021
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|a published: Print-Electronic
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|a figshare: 10.6084/m9.figshare.12645368
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|a CommentIn: New Phytol. 2021 Jun;230(5):1685-1687. - PMID 33797779
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|a Citation Status MEDLINE
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|a © 2020 The Authors New Phytologist © 2020 New Phytologist Foundation.
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|a Global warming is expected to exacerbate the duration and intensity of droughts in the western United States, which may lead to increased tree mortality. A prevailing proximal mechanism of drought-induced tree mortality is hydraulic damage, but predicting tree mortality from hydraulic theory and climate data still remains a major scientific challenge. We used forest inventory data and a plant hydraulic model (HM) to address three questions: can we capture regional patterns of drought-induced tree mortality with HM-predicted damage thresholds; do HM metrics improve predictions of mortality across broad spatial areas; and what are the dominant controls of forest mortality when considering stand characteristics, climate metrics, and simulated hydraulic stress? We found that the amount of variance explained by models predicting mortality was limited (R2 median = 0.10, R2 range: 0.00-0.52). HM outputs, including hydraulic damage and carbon assimilation diagnostics, moderately improve mortality prediction across the western US compared with models using stand and climate predictors alone. Among factors considered, metrics of stand density and tree size tended to be some of the most critical factors explaining mortality, probably highlighting the important roles of structural overshoot, stand development, and biotic agent host selection and outbreaks in mortality patterns
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 650 |
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|a climate change
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| 650 |
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4 |
|a drought stress
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| 650 |
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|a forest inventory
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| 650 |
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|a modeling
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| 650 |
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|a mortality drivers
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| 650 |
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|a percentage loss in hydraulic conductance
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| 650 |
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|a trait plasticity
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| 650 |
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4 |
|a tree mortality
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| 700 |
1 |
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|a Todd, Henry N
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Trugman, Anna T
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Anderegg, William R L
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t The New phytologist
|d 1979
|g 230(2021), 5 vom: 15. Juni, Seite 1896-1910
|w (DE-627)NLM09818248X
|x 1469-8137
|7 nnns
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1 |
8 |
|g volume:230
|g year:2021
|g number:5
|g day:15
|g month:06
|g pages:1896-1910
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| 856 |
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|u http://dx.doi.org/10.1111/nph.17043
|3 Volltext
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