2014
DOI: 10.3390/f5040620
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Carbon Stocks and Climate Change: Management Implications in Northern Arizona Ponderosa Pine Forests

Abstract: Abstract:Researchers have observed climate-driven shifts of forest types to higher elevations in the Southwestern US and predict further migration coupled with large-scale mortality events proportional to increases in radiative forcing. Range contractions of forests are likely to impact the total carbon stored within a stand. This study examines the dynamics of Pinus ponderosa stands under three climate change scenarios in Northern Arizona using the Climate Forest Vegetation Simulator (Climate-FVS) model to pr… Show more

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Cited by 14 publications
(9 citation statements)
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“…The tree mortality in our simulations was similar to Azpeleta et al. (), Bagdon and Huang (), Stoddard et al. (), and Shive et al.…”
Section: Discussionsupporting
confidence: 90%
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“…The tree mortality in our simulations was similar to Azpeleta et al. (), Bagdon and Huang (), Stoddard et al. (), and Shive et al.…”
Section: Discussionsupporting
confidence: 90%
“…S1). The tree mortality in our simulations was similar to Azpeleta et al (2014), Bagdon and Huang (2014), Stoddard et al (2015), and Shive et al (2014). However, Azpeleta et al (2014) and Shive et al (2014) found that 20-yr fire intervals maintained a stable forest.…”
Section: Forest Changes Under Climate Changesupporting
confidence: 88%
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“…Our multimodel approach linked the empirically based forest growth model Climate-Forest Vegetation Simulator (C-FVS) (Crookston et al 2010) with the landscape simulation model LANDIS-II (v6.0) (Scheller et al 2007). C-FVS is based on empirical tree species-climate relationships developed from extensive plot data (Rehfeldt et al 2006), and the model has previously been used to project forest response to climate change in the southwestern United States (Azpeleta Tarancón et al 2014, Bagdon andHuang 2014). We used LANDIS-II to simulate spatial patterns of disturbance, succession, and forest growth.…”
Section: Introductionmentioning
confidence: 99%