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The total dispersal kernel: a review and future directions
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, the total dispersal kernel (TDK) describes the combined influence of all primary, secondary and higher-order dispersal vectors on the...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757349/ https://www.ncbi.nlm.nih.gov/pubmed/31579119 http://dx.doi.org/10.1093/aobpla/plz042 |
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author | Rogers, Haldre S Beckman, Noelle G Hartig, Florian Johnson, Jeremy S Pufal, Gesine Shea, Katriona Zurell, Damaris Bullock, James M Cantrell, Robert Stephen Loiselle, Bette Pejchar, Liba Razafindratsima, Onja H Sandor, Manette E Schupp, Eugene W Strickland, W Christopher Zambrano, Jenny |
author_facet | Rogers, Haldre S Beckman, Noelle G Hartig, Florian Johnson, Jeremy S Pufal, Gesine Shea, Katriona Zurell, Damaris Bullock, James M Cantrell, Robert Stephen Loiselle, Bette Pejchar, Liba Razafindratsima, Onja H Sandor, Manette E Schupp, Eugene W Strickland, W Christopher Zambrano, Jenny |
author_sort | Rogers, Haldre S |
collection | PubMed |
description | 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, the total dispersal kernel (TDK) describes the combined influence of all primary, secondary and higher-order dispersal vectors on the overall dispersal kernel for a plant individual, population, species or community. Understanding the role of each vector within the TDK, and their combined influence on the TDK, is critically important for being able to predict plant responses to a changing biotic or abiotic environment. In addition, fully characterizing the TDK by including all vectors may affect predictions of population spread. Here, we review existing research on the TDK and discuss advances in empirical, conceptual modelling and statistical approaches that will facilitate broader application. The concept is simple, but few examples of well-characterized TDKs exist. We find that significant empirical challenges exist, as many studies do not account for all dispersal vectors (e.g. gravity, higher-order dispersal vectors), inadequately measure or estimate long-distance dispersal resulting from multiple vectors and/or neglect spatial heterogeneity and context dependence. Existing mathematical and conceptual modelling approaches and statistical methods allow fitting individual dispersal kernels and combining them to form a TDK; these will perform best if robust prior information is available. We recommend a modelling cycle to parameterize TDKs, where empirical data inform models, which in turn inform additional data collection. Finally, we recommend that the TDK concept be extended to account for not only where seeds land, but also how that location affects the likelihood of establishing and producing a reproductive adult, i.e. the total effective dispersal kernel. |
format | Online Article Text |
id | pubmed-6757349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67573492019-10-02 The total dispersal kernel: a review and future directions Rogers, Haldre S Beckman, Noelle G Hartig, Florian Johnson, Jeremy S Pufal, Gesine Shea, Katriona Zurell, Damaris Bullock, James M Cantrell, Robert Stephen Loiselle, Bette Pejchar, Liba Razafindratsima, Onja H Sandor, Manette E Schupp, Eugene W Strickland, W Christopher Zambrano, Jenny AoB Plants Special Issue: The Role of Seed Dispersal in Plant Populations: Perspectives and Advances in a Changing World 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, the total dispersal kernel (TDK) describes the combined influence of all primary, secondary and higher-order dispersal vectors on the overall dispersal kernel for a plant individual, population, species or community. Understanding the role of each vector within the TDK, and their combined influence on the TDK, is critically important for being able to predict plant responses to a changing biotic or abiotic environment. In addition, fully characterizing the TDK by including all vectors may affect predictions of population spread. Here, we review existing research on the TDK and discuss advances in empirical, conceptual modelling and statistical approaches that will facilitate broader application. The concept is simple, but few examples of well-characterized TDKs exist. We find that significant empirical challenges exist, as many studies do not account for all dispersal vectors (e.g. gravity, higher-order dispersal vectors), inadequately measure or estimate long-distance dispersal resulting from multiple vectors and/or neglect spatial heterogeneity and context dependence. Existing mathematical and conceptual modelling approaches and statistical methods allow fitting individual dispersal kernels and combining them to form a TDK; these will perform best if robust prior information is available. We recommend a modelling cycle to parameterize TDKs, where empirical data inform models, which in turn inform additional data collection. Finally, we recommend that the TDK concept be extended to account for not only where seeds land, but also how that location affects the likelihood of establishing and producing a reproductive adult, i.e. the total effective dispersal kernel. Oxford University Press 2019-09-03 /pmc/articles/PMC6757349/ /pubmed/31579119 http://dx.doi.org/10.1093/aobpla/plz042 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Annals of Botany Company. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Issue: The Role of Seed Dispersal in Plant Populations: Perspectives and Advances in a Changing World Rogers, Haldre S Beckman, Noelle G Hartig, Florian Johnson, Jeremy S Pufal, Gesine Shea, Katriona Zurell, Damaris Bullock, James M Cantrell, Robert Stephen Loiselle, Bette Pejchar, Liba Razafindratsima, Onja H Sandor, Manette E Schupp, Eugene W Strickland, W Christopher Zambrano, Jenny The total dispersal kernel: a review and future directions |
title | The total dispersal kernel: a review and future directions |
title_full | The total dispersal kernel: a review and future directions |
title_fullStr | The total dispersal kernel: a review and future directions |
title_full_unstemmed | The total dispersal kernel: a review and future directions |
title_short | The total dispersal kernel: a review and future directions |
title_sort | total dispersal kernel: a review and future directions |
topic | Special Issue: The Role of Seed Dispersal in Plant Populations: Perspectives and Advances in a Changing World |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757349/ https://www.ncbi.nlm.nih.gov/pubmed/31579119 http://dx.doi.org/10.1093/aobpla/plz042 |
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