2016
DOI: 10.1002/9781119028116.ch17
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Simulating Vegetation Change, Carbon Cycling, and Fire Over the Western United States Using CMIP5 Climate Projections

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Cited by 4 publications
(5 citation statements)
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“…Our work shows that changes to environmental variables in the RCP 8.5 scenario result in larger wildfire potential than RCP 4.5. Other work has demonstrated that RCP 4.5 could lead to episodically larger wildfires in the future as that pathway has conditions conducive to fuel build up (Bachelet et al, 2016). Our methods do not account for feedbacks like this.…”
Section: Discussionmentioning
confidence: 99%
“…Our work shows that changes to environmental variables in the RCP 8.5 scenario result in larger wildfire potential than RCP 4.5. Other work has demonstrated that RCP 4.5 could lead to episodically larger wildfires in the future as that pathway has conditions conducive to fuel build up (Bachelet et al, 2016). Our methods do not account for feedbacks like this.…”
Section: Discussionmentioning
confidence: 99%
“…, , Seidl et al. , Abatzoglou and Brown ; Bachelet et al., in press). Simulations of climate, fire, and vegetation dynamics using the MC2 DGVM showed a substantial increase in fire frequency and a loss of subalpine plant communities (Sheehan et al.…”
Section: Introductionmentioning
confidence: 98%
“…One reason is that most C cycle processes related to LUCC were simplified in large‐scale C modeling assessments (Arneth et al, 2017) because DGVMs typically operate at coarse spatial resolutions with limited representation of LUCC. For example, the Community Land Model (Lindsay et al, 2014) and the Ecosystem Demography Model (Hurtt et al, 2002) have spatial resolutions of 0.5–1.0 degree for global simulations although the MC2 model has been used at 4‐km resolution for western United States (Bachelet, Sheehan, Ferschweiler, & Abatzoglou, 2016). In some cases, other sources of LUCC C effects are adopted/combined in DGVM simulations (Schimel et al, 2016; Sitch et al, 2015) in order to reflect LUCC effects.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the Community Land Model (Lindsay et al, 2014) and the Ecosystem Demography Model (Hurtt et al, 2002) have spatial resolutions of 0.5-1.0 degree for global simulations although the MC2 model has been used at 4-km resolution for western United States (Bachelet, Sheehan, Ferschweiler, & Abatzoglou, 2016). In some cases, other sources of LUCC C effects are adopted/combined in DGVM simulations (Schimel et al, 2016;Sitch et al, 2015) in order to reflect LUCC effects.…”
Section: Introductionmentioning
confidence: 99%