2015
DOI: 10.1038/nclimate2873
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Multi-scale predictions of massive conifer mortality due to chronic temperature rise

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Cited by 329 publications
(273 citation statements)
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“…However, to our knowledge, few modeling studies have considered the impacts of climate change coupled with changes in vegetation (Buma and Livneh, 2015;Carroll et al, 2017;Pribulick et al, 2016). In this study, we incorporated changes from the CMIP5 dynamic vegetation models and from an estimate of forest mortality (McDowell et al, 2016) to consider the impacts of both climate and vegetation changes on the water balance in a headwater system of the CRB, the San Juan River basin. We found that failing to consider climate change coupled with vegetation disturbances could result in a ∼ 10 % over-estimation of the annual water availability for this basin.…”
Section: Discussionmentioning
confidence: 99%
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“…However, to our knowledge, few modeling studies have considered the impacts of climate change coupled with changes in vegetation (Buma and Livneh, 2015;Carroll et al, 2017;Pribulick et al, 2016). In this study, we incorporated changes from the CMIP5 dynamic vegetation models and from an estimate of forest mortality (McDowell et al, 2016) to consider the impacts of both climate and vegetation changes on the water balance in a headwater system of the CRB, the San Juan River basin. We found that failing to consider climate change coupled with vegetation disturbances could result in a ∼ 10 % over-estimation of the annual water availability for this basin.…”
Section: Discussionmentioning
confidence: 99%
“…For both the dynamic and disturbed scenarios, historical forest cover fractions were reduced and concordantly replaced by shrubs in increments of ∼ 10 years (2006)(2007)(2008)(2009)(2010)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020), and so forth); we then ran the projections in 10 year segments, with each segment having a new (constant) forest fraction and starting with the state from the previous time period. Forest cover was reduced by approximately 90 % by 2100 for the disturbed scenario McDowell et al, 2016;Fig. 2c, d).…”
Section: Climate and Vegetation Change Scenariosmentioning
confidence: 99%
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