Measuring long‐distance seed dispersal in complex natural environments: an evaluation and integration of classical and genetic methods

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Interspecific variation in primary seed dispersal in a tropical forest (2008, background): “2006; Jones & Muller-Landau 2008).”
Effects of canopy heterogeneity, seed abscission and inertia on wind‐driven dispersal kernels of tree seeds (2008, methodology): “Combined with improved methods of seed-rain observation and interpretation, such as long-term seed trapping and genetic methods (e.g. Jones & Muller-Landau 2008) insights gained by such numerical studies may be used to develop and test parameterizations of less complex models.”
What is long‐distance dispersal? And a taxonomy of dispersal events (2017, background): “But much of the population geneticist and ecologist communities remains unaware of the state of the art in each other and likely underappreciates their potential to validate and enrich dispersal studies (Jones & Muller-Landau 2008).”
Plant functional connectivity – integrating landscape structure and effective dispersal (2017, unknown): “This allows the quanti ﬁ cation of seed dispersal distances and direction, as well as the dispersal effectiveness of available vectors (Jones & Muller-Landau 2008; Robledo-Arnuncio et al. 2012).”
A synthesis of empirical plant dispersal kernels (2017, background): “Certain functions are very popular in the wider dispersal literature, such as the log-normal (Greene et al. 2004), which performed very badly here; or the 2Dt (Jones & Muller-Landau 2008) which performed fairly well.”