The total dispersal kernel: A review and future directions

摘要: The distribution and abundance of plants across the world depends in part on their ability to move, which is commonly characterized by a dispersal kernel. For seeds, total kernel (TDK) describes combined influence all primary, secondary higher-order vectors overall for plant individual, population, species or community. Understanding role each vector within TDK, critically important being able predict responses changing biotic abiotic environment. In addition, fully characterizing TDK including may affect predictions population spread. Here, we review existing research discuss advances empirical, conceptual modelling statistical approaches that will facilitate broader application. concept simple, but few examples well-characterized TDKs exist. We find significant empirical challenges exist, as many studies do not account (e.g. gravity, vectors), inadequately measure estimate long-distance resulting from multiple and/or neglect spatial heterogeneity context dependence. Existing mathematical methods allow fitting individual kernels combining them form TDK; these perform best if robust prior information available. recommend cycle parameterize TDKs, where data inform models, turn additional collection. Finally, be extended only seeds land, also how location affects likelihood establishing producing reproductive adult, i.e. effective