We propose to enable a spatially explicit ecosystem process model, Fire-BGCv2, to simulate influences of grazing regimes in an interactive context with episodic disturbance (fire suppression, fuels management) under different scenarios for climate warming. Our results will articulate interactions between grazing regimes and the regimes of the other agents, and clarify the extent to which variance in grazing should modify strategic LFSM projections for stand-level fuel dynamics (Type I responses), landscape fire regimes (Type II responses), and landscape vegetation mosaics (Type III responses). We will synthesize our results statistically to provide insights to the functional and practical significance of grazing, and to provide guidance for incorporating its effects into process-based and management-support models.
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We propose to enable a spatially explicit ecosystem process model, Fire-BGCv2, to simulate influences of grazing regimes in an interactive context with episodic disturbance (fire suppression, fuels management) under different scenarios for climate warming. Our results will articulate interactions between grazing regimes and the regimes of the other agents, and clarify the extent to which variance in grazing should modify strategic LFSM projections for stand-level fuel dynamics (Type I responses), landscape fire regimes (Type II responses), and landscape vegetation mosaics (Type III responses). We will synthesize our results statistically to provide insights to the functional and practical significance of grazing, and to provide guidance for incorporating its effects into process-based and management-support models.
