Evidence map›Paper›PMID 38687134›Full record

ArticleAnnals of botany2025

Lethal combination for seedlings: extreme heat drives mortality of drought-exposed high-elevation pine seedlings.

Lacey E Hankin, Felipe H Barrios-Masias, Alexandra K Urza, Sarah M Bisbing

Abstract read
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Article in Annals of botany, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lacey E HankinDepartment of Natural Resources & Environmental Science, University of Nevada Reno, 1664 North Virginia Street, Reno, NV 89557, USA.
Felipe H Barrios-MasiasDepartment of Agriculture, Veterinary, and Rangeland Sciences, University of Nevada Reno, 1664 North Virginia Street, Reno, NV 89557, USA.
Alexandra K UrzaRocky Mountain Research Station, USDA Forest Service, 920 Valley Road, Reno, NV 89512, USA.
Sarah M BisbingDepartment of Natural Resources & Environmental Science, University of Nevada Reno, 1664 North Virginia Street, Reno, NV 89557, USA.

Funding

National Institute of Food and Agriculture 1023408Rocky Mountain Research Station
6 · The paper itself

Abstract

BACKGROUND AND

aimsHotter drought- and biotically driven tree mortality are expected to increase with climate change in much of the western USA, and species persistence will depend upon ongoing establishment in novel conditions or migration to track ecological niche requirements. High-elevation tree species might be particularly vulnerable to increasing water stress as snowpack declines, increasing the potential for adult mortality and simultaneous regeneration failures. Seedling survival will be determined by ecophysiological limitations in response to changing water availability and temperature.

methodsWe exposed seedlings from populations of Pinus longaeva, Pinus flexilis and Pinus albicaulis to severe drought and concurrent temperature stress in common gardens, testing the timing of drought onset under two different temperature regimes. We monitored seedling functional traits, physiological function and survival. KEY

resultsThe combined stressors of water limitation and extreme heat led to conservative water-use strategies and declines in physiological function, with these joint stressors ultimately exceeding species tolerances and leading to complete episodic mortality across all species. Growing conditions were the primary determinant of seedling trait expression, with seedlings exhibiting more drought-resistant traits, such as lower specific leaf area, in the hottest, driest treatment conditions. Water stress-induced stomatal closure was also widely apparent. In the presence of adequate soil moisture, seedlings endured prolonged exposure to high air and surface temperatures, suggesting broad margins for survival.

conclusionsThe critical interaction between soil moisture and temperature suggests that rising temperatures will exacerbate moisture stress during the growing season. Our results highlight the importance of local conditions over population- and species-level influences in shaping strategies for stress tolerance and resistance to desiccation at this early life stage. By quantifying some of the physiological consequences of drought and heat that lead to seedling mortality, we can gain a better understanding of the future effects of global change on the composition and distribution of high-elevation conifer forests.

Indexed as

DroughtsExtreme HeatPinusSeedlingsAltitudeClimate ChangeWaterWaterfunctional traitsheat stressPinusTree seedlingwater balancewater stress

Identifiers

PMID38687134
PMCPMC11805925

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.