The Ecology and Evolution of Seed Dispersal: A Theoretical Perspective

By Simon A. Levin, H. Muller‐Landau, Ran Nathan, Jérôme Chave. 2003

811 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/8e756fbad6cecf7f28694ac7fd5dfc8317e026cd

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In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

Seed dispersal effectiveness revisited: a conceptual review. (2010, background): “…s ⁄ n, Isla de La Cartuja, E–41092 Sevilla, Spain; 3Grupo de Ecologı́a Terrestre, Dpto Ecologı́a, Facultad de Ciencias, Universidad de Granada, E–18071 Granada, Spain New Phytologist (2010) 188: 333–353 doi: 10.1111/j.1469-8137.2010.03402.x Key words: complementary dispersal, context dependence,…”
The role of waterbirds in the dispersal of aquatic alien and invasive species (2015, background): “Managing alien invasive species requires an understanding of spatial patterns of dispersal and the mechanisms that generate them (Sakai et al., 2001; Levin et al., 2003).”
Consequences of Seed Dispersal for Plant Recruitment in Tropical Forests: Interactions Within the Seedscape (2013, background): “…trade-offs between colonization ability, including dispersal ability or fecundity, and other characteristics, such as competitive ability or tolerance in stressful environments, are expected to maintain plant diversity (Tilman 1994, Levin et al. 2003, Levine and Murrell 2003, Muller-Landau 2010).”
Traits related to species persistence and dispersal explain changes in plant communities subjected to habitat loss (2012, background): “Although dispersal has long been suggested as a key factor in plant metacommunity dynamics (MacArthur & Wilson, 1967; Levin et al., 2003) only recently has this been tested in largescale empirical studies (e.”
Propagule dispersal and the scales of marine community process (2005, background): “interest in LDD in plant communities has been driven by the realization that LDD can play a crucial role in colonization, spread, diversity, landscape pattern, genetic structure and evolution (Cain et al., 2000; Levin et al., 2003).”
Effects of canopy heterogeneity, seed abscission and inertia on wind‐driven dispersal kernels of tree seeds (2008, background): “An upsurge in research interest in biological transport processes through the atmosphere (Nathan et al. 2005; Nathan 2006) is perhaps best exemplified by the recent advances in mechanistic modelling of seed dispersal by wind (Levin et al. 2003; Kuparinen 2006).”
Dispersal, demography and spatial population models for conservation and control management (2008, background): “Mechanistic dispersal models are normally parameterized with independent data and can therefore predict dispersal distances rather than being fitted to distance data like empirical dispersal models (Levin et al., 2003).”
Barriers or corridors? The overlooked role of unpaved roads in endozoochorous seed dispersal (2013, background): “2005), which is essential for plant populations (Levin et al. 2003), and boosts biodiversity conservation (Damschen et al.”
Facilitations between the Introduced Nitrogen-fixing Tree, Robinia pseudoacacia, and Nonnative Plant Species in the Glacial Outwash Upland Ecosystem of Cape Cod, MA (2006, background): “The dispersal mechanisms of the nonnative species found within these stands may influence their spatial distributions; which could, in turn, influence the spread of these nonindigenous species and the community structure of the stands that they invade (Shigesada and Kawasaki 1997; Higgins and Richar”
Seed dispersal by Galápagos tortoises (2012, background): “Seed dispersal distance is a strong determinant of the structure, dynamics and evolution of plant populations (Nathan & Muller-Landau, 2000; Levey et al., 2002; Levin et al., 2003).”
Species resistance and community response to wind disturbance regimes in northern temperate forests (2006, background): “In the absence of suitable long-term empirical studies, models parameterized using field data can be used to improve our understanding of how natural ecosystems function ( Levin et al . 2003; Levine & Murrell 2003); they are a powerful alternative to purely empirical studies (Pacala et al . 1996); ”
The Mathematics of Atmospheric Dispersion Modeling (2011, background): “Gaussian plume models have been applied extensively in the study of emissions from large industrial operations as well as a variety of other applications including ash release from volcanic eruptions [41]; seed, pollen, and insect dispersal [19, 23, 47]; and odor propagation from livestock facilitie”