Spatially realistic plant metapopulation models and the colonization–competition trade‐off

By Steven Higgins, M. Cain. 2002

120 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f01c56b1d8b636410448e6d8a8deaffdd7eb2f5e

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Colonization and persistence ability explain the extent to which plant species fill their potential range (2007, background): “Of the large number of processes ignored by the Levins model (Hanski, 1999; Higgins & Cain, 2002 ), two seem particularly relevant for the range dynamics of Proteaceae.”
Effects of long‐distance dispersal for metapopulation survival and genetic structure at ecological time and spatial scales (2005, methodology): “Realistic dispersal kernels have been incorporated in models of population spread (e.g. Le Corre et al. 1997; Neubert & Caswell 2000; Austerlitz & Garnier-Géré 2003) and multispecies community context (Higgins & Cain 2002; Verheyen et al. 2004).”
Dispersal, demography and spatial population models for conservation and control management (2008, background): “It is good practice to test if each level of complexity that is added to a spread model really 7 contributes to our understanding of the spatial population dynamics for management 8 (Higgins and Cain, 2002).”
Genetic containment of forest plantations (2007, background): “Alternatively, probability density functions of propagule movement and/or reproductive success can be used to determine the probability of dispersal between points on a lattice of habitat cells (Higgins and Cain 2002; Lavorel et al. 1999).”
Symmetric competition causes population oscillations in an individual-based model of forest dynamics (2008, background): “This function was shown by Higgins and Cain (2002) to allow great flexibility in dispersal modelling: with p = 1 one can simulate a local dispersal case, whereas with p = 0 and b bigger than the size of the grid one can simulate a global dispersal case (which follows the historical occupancy…”
Response of forest plant species to land‐use change: a life‐history trait‐based approach (2003, background): “Clark et al. 2001; Higgins & Cain 2002 ) also indicate that colonization ability cannot be predicted from information on a single trait like disperal strategy or fecundity.”
Trade‐offs in community ecology: linking spatial scales and species coexistence (2004, background): “These measures have their own biases, and multiple measurements should be considered when determining a species’ colonization ability (Higgins & Cain 2002).”
Theoretical Perspectives on Evolution of Long-Distance Dispersal and the Example of Specialized Pests (2003, background): “These models, though highly unrealistic for most systems, can serve as useful approximations that capture many—but not all (Durrett and Levin 1994, Higgins and Cain 2002)—of the features of more complex S pe c ia l Fe at u r e models, and have the advantage of being analytically tractable.”
The Ecology of Seeds: References (2005, background): “Neither of these assumptions is particularly realistic, and relaxing either allows species to coexist without a competition--colonization trade-off (Higgins & Cain, 2002).”
Effects of canopy heterogeneity, seed abscission and inertia on wind‐driven dispersal kernels of tree seeds (2008, background): “LDD events are anticipated to facilitate colonization of recently disturbed or new habitats, enable coexistence of competing species, affect population survival and genetic variability, and determine the consequences of management and conservation efforts (Kot et al . 1996; Higgins & Cain 2002; Vo”
The Ecology and Evolution of Seed Dispersal: A Theoretical Perspective (2003, methodology): “Higgins & Cain (2002) use such a model to demonstrate that fecundity, interpatch distances, and the rates and distances of LDD all had significant, interacting effects on colonization rates and overall dynamics, while short-distance dispersal was unimportant.”
Non‐random seed abscission, long‐distance wind dispersal and plant migration rates (2008, background): “As such, long-distance dispersal (LDD) of propagules is crucial in metapopulations and other forms of spatial dynamics (Hanski 1998; Nathan & Muller-Landau 2000; Freckleton & Watkinson 2002; Higgins & Cain 2002; Soons et al .”