It is thought that tropical forests can exist as an alternative stable state
to savanna [1,2]. Therefore, perturbation by climate change or human impact may
lead to crossing of a tipping point beyond which there is rapid large-scale
forest dieback that is not easily reversed [3-5]. Empirical evidence for
bistability due to fire-vegetation feedbacks relies on tree cover bimodality in
satellite-observed data [1,2], but this may also be explained by spatial
heterogeneity [6], or by biases in the data [7,8]. Theoretical evidence for
bistability [9-11] does not consider the interaction of fire with the
vegetation landscape. Focusing on landscapes consisting of tropical forest and
grassland, we show that the microscopic rules of fire and vegetation spread (as
proposed by [12]) lead to an emergent relation between macroscopic forest
structure and dynamics. This relation defines a landscape-scale balance
equation of forest area change in which the forest perimeter determines the
nonlinearity in forest growth while the forest perimeter weighted by adjacent
grassland area determines the nonlinearity in forest loss. We demonstrate that
our equation enables analysis of resilience or abrupt shifts for a given
landscape, using only the landscape state at a single point in time and
measurable parameters of the underlying microscopic spatial processes, thereby
avoiding the problems associated with reliance on bimodality