Stochastic models in seed dispersals: random walks and birth-death processes
Seed dispersals deal with complex systems through which the data collected using advanced seed tracking facilities pose challenges to conventional approaches, such as empirical and deterministic models. The use of stochastic models in current seed dispersal studies is encouraged. This review describ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/82252/ http://psasir.upm.edu.my/id/eprint/82252/1/Stochastic%20models%20in%20seed%20.pdf |
| _version_ | 1848859268150722560 |
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| author | Abdullahi, Auwal Shohaimi, Shamarina Kilicma, Adem Ibrahim, Mohd Hafiz |
| author_facet | Abdullahi, Auwal Shohaimi, Shamarina Kilicma, Adem Ibrahim, Mohd Hafiz |
| author_sort | Abdullahi, Auwal |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Seed dispersals deal with complex systems through which the data collected using advanced seed tracking facilities pose challenges to conventional approaches, such as empirical and deterministic models. The use of stochastic models in current seed dispersal studies is encouraged. This review describes three existing stochastic models:the birth–death process (BDP), a 2 dimensional (2D) symmetric ran-dom walks and a 2D intermittent walks. The three models possess Markovian property, which make them flexible for studying natural phenomena. Only a few of applications in ecology are found in seed dispersals. The review illustrates how the models are to be used in seed dispersals context. Using the nonlinear BDP, we formulate the individual-based models for two competing plant species while the cover time model is formulated by the symmetric and intermittent random walks. We also show that these three stochastic models can be formulated using the Gillespie algorithm. The full cover time obtained by the symmetric random walks can approximate the Gumbel distribution pattern as the other searching strategies do.We suggest that the applications of these models in seed dispersals may lead to understanding of many complex systems, such as the seed removal experiments and behaviour of foraging agents, among others. |
| first_indexed | 2025-11-15T12:26:38Z |
| format | Article |
| id | upm-82252 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:26:38Z |
| publishDate | 2019 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-822522020-12-16T06:00:31Z http://psasir.upm.edu.my/id/eprint/82252/ Stochastic models in seed dispersals: random walks and birth-death processes Abdullahi, Auwal Shohaimi, Shamarina Kilicma, Adem Ibrahim, Mohd Hafiz Seed dispersals deal with complex systems through which the data collected using advanced seed tracking facilities pose challenges to conventional approaches, such as empirical and deterministic models. The use of stochastic models in current seed dispersal studies is encouraged. This review describes three existing stochastic models:the birth–death process (BDP), a 2 dimensional (2D) symmetric ran-dom walks and a 2D intermittent walks. The three models possess Markovian property, which make them flexible for studying natural phenomena. Only a few of applications in ecology are found in seed dispersals. The review illustrates how the models are to be used in seed dispersals context. Using the nonlinear BDP, we formulate the individual-based models for two competing plant species while the cover time model is formulated by the symmetric and intermittent random walks. We also show that these three stochastic models can be formulated using the Gillespie algorithm. The full cover time obtained by the symmetric random walks can approximate the Gumbel distribution pattern as the other searching strategies do.We suggest that the applications of these models in seed dispersals may lead to understanding of many complex systems, such as the seed removal experiments and behaviour of foraging agents, among others. Taylor & Francis 2019-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82252/1/Stochastic%20models%20in%20seed%20.pdf Abdullahi, Auwal and Shohaimi, Shamarina and Kilicma, Adem and Ibrahim, Mohd Hafiz (2019) Stochastic models in seed dispersals: random walks and birth-death processes. Journal of Biological Dynamics, 13 (1). pp. 345-361. ISSN 1751-3758; ESSN: 1751-3766 https://www.tandfonline.com/doi/full/10.1080/17513758.2019.1605003 10.1080/17513758.2019.1605003 |
| spellingShingle | Abdullahi, Auwal Shohaimi, Shamarina Kilicma, Adem Ibrahim, Mohd Hafiz Stochastic models in seed dispersals: random walks and birth-death processes |
| title | Stochastic models in seed dispersals: random walks and birth-death processes |
| title_full | Stochastic models in seed dispersals: random walks and birth-death processes |
| title_fullStr | Stochastic models in seed dispersals: random walks and birth-death processes |
| title_full_unstemmed | Stochastic models in seed dispersals: random walks and birth-death processes |
| title_short | Stochastic models in seed dispersals: random walks and birth-death processes |
| title_sort | stochastic models in seed dispersals: random walks and birth-death processes |
| url | http://psasir.upm.edu.my/id/eprint/82252/ http://psasir.upm.edu.my/id/eprint/82252/ http://psasir.upm.edu.my/id/eprint/82252/ http://psasir.upm.edu.my/id/eprint/82252/1/Stochastic%20models%20in%20seed%20.pdf |