Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal
Larval dispersal is arguably the most important but least understood demographic process in the sea. The likelihood of a larva dispersing from its birthplace to successfully recruit in another location is the culmination of many intrinsic and extrinsic factors that operate in early life. Empirical...
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Taylor & Francis
2021
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| author | Swearer, Stephen E. Treml, Eric A. Shima, Jeffrey S. |
| author_browse | Shima, Jeffrey S. Swearer, Stephen E. Treml, Eric A. |
| author_facet | Swearer, Stephen E. Treml, Eric A. Shima, Jeffrey S. |
| author_sort | Swearer, Stephen E. |
| collection | Directory of Open Access Books |
| description | Larval dispersal is arguably the most important but least understood demographic process in the sea.
The likelihood of a larva dispersing from its birthplace to successfully recruit in another location
is the culmination of many intrinsic and extrinsic factors that operate in early life. Empirically
estimating the resulting population connectivity has been immensely difficult because of the
challenges of studying and quantifying dispersal in the sea. Consequently, most estimates are based
on predictions from biophysical models. Although there is a long history of dispersal modelling,
there has been no comprehensive review of this literature. We conducted a systematic quantitative
review to address the following questions: (1) Is there any bias in the distribution of research effort
based on geographical or taxonomic coverage? (2) Are hydrodynamic models resolving ocean
circulation at spatial scales (resolution and extent) relevant to the dispersal process under study?
(3) Where, when and how many particles are being tracked, and is this effort sufficient to capture
the spatiotemporal variability in dispersal? (4) How is biological and/or behavioural complexity
incorporated into Lagrangian particle tracking models. (i.e. are key attributes of the dispersal
process well captured.)? Our review confirms strong taxonomic and geographic biases in published
work to date. We found that computational ‘effort’ (i.e. model resolution and particle number) has
not kept pace with dramatic increases in computer processor speed. We also identified a number of
shortcomings in the incorporation of biology, and behaviour specifically into models. Collectively,
these findings highlight some important gaps and key areas for improvement of biophysical models
that aspire to inform larval dispersal processes. In particular, we suggest the need for greater
emphasis on validation of model assumptions, as well as testing of dispersal predictions with
empirically derived data. |
| format | Online |
| id | doab-20.500.12854ir-32642 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-326422025-07-30T10:21:27Z Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal Swearer, Stephen E. Treml, Eric A. Shima, Jeffrey S. biophysical models marine larval dispersal demographic process sea thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Larval dispersal is arguably the most important but least understood demographic process in the sea. The likelihood of a larva dispersing from its birthplace to successfully recruit in another location is the culmination of many intrinsic and extrinsic factors that operate in early life. Empirically estimating the resulting population connectivity has been immensely difficult because of the challenges of studying and quantifying dispersal in the sea. Consequently, most estimates are based on predictions from biophysical models. Although there is a long history of dispersal modelling, there has been no comprehensive review of this literature. We conducted a systematic quantitative review to address the following questions: (1) Is there any bias in the distribution of research effort based on geographical or taxonomic coverage? (2) Are hydrodynamic models resolving ocean circulation at spatial scales (resolution and extent) relevant to the dispersal process under study? (3) Where, when and how many particles are being tracked, and is this effort sufficient to capture the spatiotemporal variability in dispersal? (4) How is biological and/or behavioural complexity incorporated into Lagrangian particle tracking models. (i.e. are key attributes of the dispersal process well captured.)? Our review confirms strong taxonomic and geographic biases in published work to date. We found that computational ‘effort’ (i.e. model resolution and particle number) has not kept pace with dramatic increases in computer processor speed. We also identified a number of shortcomings in the incorporation of biology, and behaviour specifically into models. Collectively, these findings highlight some important gaps and key areas for improvement of biophysical models that aspire to inform larval dispersal processes. In particular, we suggest the need for greater emphasis on validation of model assumptions, as well as testing of dispersal predictions with empirically derived data. 2021-02-10T12:58:18Z 2019-10-21 11:50:32 2020-04-01T10:07:34Z 2019 chapter 1005391 OCN: 1135848726 http://library.oapen.org/handle/20.500.12657/24720 9780429026379 https://directory.doabooks.org/handle/20.500.12854/32642 eng Oceanography and Marine Biology : An Annual Review open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/24720/1/9780367134150_oachapter7.pdf https://library.oapen.org/bitstream/20.500.12657/24720/1/9780367134150_oachapter7.pdf https://library.oapen.org/bitstream/20.500.12657/24720/1/9780367134150_oachapter7.pdf https://library.oapen.org/bitstream/20.500.12657/24720/1/9780367134150_oachapter7.pdf Taylor & Francis CRC Press fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Oceanography and Marine Biology 9780429026379 CRC Press 34 open access |
| spellingShingle | biophysical models marine larval dispersal demographic process sea thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences Swearer, Stephen E. Treml, Eric A. Shima, Jeffrey S. Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal |
| title | Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal |
| title_full | Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal |
| title_fullStr | Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal |
| title_full_unstemmed | Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal |
| title_short | Chapter 7 A Review of Biophysical Models of Marine Larval Dispersal |
| title_sort | chapter 7 a review of biophysical models of marine larval dispersal |
| topic | biophysical models marine larval dispersal demographic process sea thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | biophysical models marine larval dispersal demographic process sea thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | 1005391 |
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