2018
DOI: 10.1111/gcb.14487
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Legacies of La Niña: North American monsoon can rescue trees from winter drought

Abstract: While we often assume tree growth–climate relationships are time‐invariant, impacts of climate phenomena such as the El Niño Southern Oscillation (ENSO) and the North American Monsoon (NAM) may challenge this assumption. To test this assumption, we grouped ring widths (1900‐present) in three southwestern US conifers into La Niña periods (LNP) and other years (OY). The 4 years following each La Niña year are included in LNP, and despite 1–2 year growth declines, compensatory adjustments in tree growth responses… Show more

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Cited by 30 publications
(47 citation statements)
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References 58 publications
(103 reference statements)
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“…When there have been no recent droughts ( d = 0), all three regions respond positively to precipitation (Figure a), negatively to temperature and PDSI (Figure b,c), and negatively to the P ant × D ant interaction (though magnitudes may strongly differ, Figure d). A negative PDSI effect is consistent with our previous work that analyzed a subset of these climate and tree‐ring datasets using a similar modeling framework (Peltier & Ogle, ). Since this covariate is analogous to a precipitation by (negative) temperature interaction, the negative PDSI effects simply reflect greater sensitivity of ring width to precipitation when it is warm (that is, when ‘negative temperature' is low) (Peltier & Ogle, ).…”
Section: Resultssupporting
confidence: 90%
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“…When there have been no recent droughts ( d = 0), all three regions respond positively to precipitation (Figure a), negatively to temperature and PDSI (Figure b,c), and negatively to the P ant × D ant interaction (though magnitudes may strongly differ, Figure d). A negative PDSI effect is consistent with our previous work that analyzed a subset of these climate and tree‐ring datasets using a similar modeling framework (Peltier & Ogle, ). Since this covariate is analogous to a precipitation by (negative) temperature interaction, the negative PDSI effects simply reflect greater sensitivity of ring width to precipitation when it is warm (that is, when ‘negative temperature' is low) (Peltier & Ogle, ).…”
Section: Resultssupporting
confidence: 90%
“…A negative PDSI effect is consistent with our previous work that analyzed a subset of these climate and tree‐ring datasets using a similar modeling framework (Peltier & Ogle, ). Since this covariate is analogous to a precipitation by (negative) temperature interaction, the negative PDSI effects simply reflect greater sensitivity of ring width to precipitation when it is warm (that is, when ‘negative temperature' is low) (Peltier & Ogle, ).…”
Section: Resultssupporting
confidence: 90%
See 3 more Smart Citations