A synthesis of empirical plant dispersal kernels

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Plant dispersal syndromes are unreliable, especially for predicting zoochory and long‐distance dispersal (2021, background): “Waterbirds are highly mobile and generally disperse seeds over greater distances than do frugivorous birds (which usually disperse seeds less than 200 m, with maxima of 1.5–14.5 km, Wenny et al. 2016, Bullock et al. 2017).”
Restoration of plant species and genetic diversity depends on landscape‐scale dispersal (2018, background): “Thus, indirect estimates of dispersal have been developed by using species life history traits for building mechanistic models predicting seed dispersal distances, shape of seed dispersal kernels and seed-dispersion patterns (Thomson et al. 2010; Tamme et al. 2014; Bullock et al. 2017).”
Plant functional connectivity – integrating landscape structure and effective dispersal (2017, unknown): “These advances in the measurement of dispersal can be used to improve the modelling of dispersal kernels, which can be represented by statistical ﬁ t-ting of functions to detailed dispersal data (Bullock et al. 2017), and the dispersal process can be modelled mechanistically (Nathan et al. 2011).”