Spatially-explicit modeling improves empirical characterization of dispersal: theory and a case study

摘要: Abstract Dispersal is a key ecological process. An individual dispersal event has source and destination, both are well localized in space can be seen as points. A probability to move from point destination described by kernel. However, when we measure dispersal, the of dispersing individuals usually an area, which distorts shape gradient compared Here, show theoretically how different geometries affect depending on type We present approach for estimating kernels measurements gradients independently geometry. Further, use achieve first field measurement kernel important fungal pathogen wheat, Zymoseptoria tritici. Rain-splash dispersed asexual spores spread scale one meter. Our results demonstrate analysis data improved more rigorous measures dispersal. findings enable direct comparison between outcomes experiments, will allow acquire knowledge large number previous empirical studies