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. 2015 Oct 20;5:15455. doi: 10.1038/srep15455

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Copyright © 2015, Macmillan Publishers Limited

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Three principal aspects of disturbance are varied: disturbance periodicity (T = 100, 200, 300···700), disturbance extent (0 < ρ_d < 1), and spatial clumping of the disturbed area (q_d/d ∈ ). Two types of dispersal are simulated: local (a) and global (b). The boundary line dividing the region of species persistence (left region) and extinction (right region) varies with disturbance periodicity (T). As the range of spatial correlation of disturbance (q_d/d) shrinks with increasing disturbance extent (ρ_d), each panel also has an invalid region according to equation (3). Parameter values: intrinsic birth rate α = β = 0.01, intrinsic mortality rate m = 0.005 and species sensitivity to crowding (i.e., intraspecific competition coefficient) γ = 0.

Inline graphic — Three principal aspects of disturbance are varied: disturbance periodicity (T = 100, 200, 300···700), disturbance extent (0 < ρ_d < 1), and spatial clumping of the disturbed area (q_d/d ∈ ). Two types of dispersal are simulated: local (a) and global (b). The boundary line dividing the region of species persistence (left region) and extinction (right region) varies with disturbance periodicity (T). As the range of spatial correlation of disturbance (q_d/d) shrinks with increasing disturbance extent (ρ_d), each panel also has an invalid region according to equation (3). Parameter values: intrinsic birth rate α = β = 0.01, intrinsic mortality rate m = 0.005 and species sensitivity to crowding (i.e., intraspecific competition coefficient) γ = 0.