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. 2019 Sep 3;11(5):plz042. doi: 10.1093/aobpla/plz042

Table 1.

Empirical challenges associated with fitting total dispersal kernels, novel approaches to resolve the challenges and case studies demonstrating how this approach has been used to fit dispersal kernels or highlighting technology that could be used to study seed dispersal.

Challenge Approaches Example
Locating all possible parent plants Remote sensing Baldeck et al. (2015), Andrew and Ustin (2010)
Linking dispersed seeds to parent plants Genetic parentage analysis of seeds, chemical fingerprints, nitrogen or gamma isotopes Jordano et al. (2007),
Lesiak et al. (2015), Herrmann et al. (2016), Vander Wall (1992)
Locating all possible dispersal vectors Frugivory observations, faecal samples Jansen et al. (2014)
Linking dispersed seeds to dispersal vector Genetic analysis of scat Gonzalez-Varo et al. (2014)
Capturing movement of dispersal vectors Improved transmitters Wikelski (2010)
Estimating TDKs across a community Functional traits Mokany et al. (2014)
Linking movement to dispersal effectiveness Genetic parentage analysis of seedlings Moran and Clark (2011)