Literature DB >> 19556593

Quantifying the "bio-" components in biophysical models of larval transport in marine benthic invertebrates: advances and pitfalls.

Anna Metaxas1, Megan Saunders.   

Abstract

Biophysical models are being used increasingly, both as predictive tools of larval dispersal for a particular system and for general evaluation of the role of different factors in larval transport. In the results of such models, larval duration, mortality, and behavior in the water column have exhibited pronounced effects on larval dispersal of marine benthic invertebrates. The parameterization of these processes has broadly reflected values from laboratory experiments, but the accuracy of these values is unknown. The pelagic larval duration used in models should be determined by laboratory, or preferably field, studies and should incorporate environmentally dependent variability. For mortality, in situ estimates are now feasible and, likely, more accurate than the currently used values. Larval behavior can be measured in the field, by high-frequency sampling of distributional changes relative to features in the water column or by controlled larval releases in tractable systems. To successfully validate the outcomes of these models, we must either improve our techniques for measuring larval abundance at the end of larval transport immediately before settlement, or incorporate components for settlement into the models. We must also address the mismatch in sampling resolution between biological and physical processes. If used with caution, this powerful approach can significantly advance our understanding of larval transport.

Entities:  

Mesh:

Year:  2009        PMID: 19556593     DOI: 10.1086/BBLv216n3p257

Source DB:  PubMed          Journal:  Biol Bull        ISSN: 0006-3185            Impact factor:   1.818


  20 in total

1.  Dispersal and population connectivity are phenotype dependent in a marine metapopulation.

Authors:  Emily K Fobert; Eric A Treml; Stephen E Swearer
Journal:  Proc Biol Sci       Date:  2019-08-28       Impact factor: 5.349

2.  Reverse engineering field-derived vertical distribution profiles to infer larval swimming behaviors.

Authors:  M K James; J A Polton; A R Brereton; K L Howell; W A M Nimmo-Smith; A M Knights
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-23       Impact factor: 11.205

3.  Identification of genetically and oceanographically distinct blooms of jellyfish.

Authors:  Patricia L M Lee; Michael N Dawson; Simon P Neill; Peter E Robins; Jonathan D R Houghton; Thomas K Doyle; Graeme C Hays
Journal:  J R Soc Interface       Date:  2013-01-03       Impact factor: 4.118

4.  Using post-settlement demography to estimate larval survivorship: a coral reef fish example.

Authors:  D W Johnson; M R Christie; C D Stallings; T J Pusack; M A Hixon
Journal:  Oecologia       Date:  2015-06-21       Impact factor: 3.225

Review 5.  Selection of predictor variables for species distribution models: a case study with an invasive marine bryozoan.

Authors:  Conrad James Pratt; Danielle Denley; Anna Metaxas
Journal:  Oecologia       Date:  2022-01-26       Impact factor: 3.225

6.  Waves cue distinct behaviors and differentiate transport of congeneric snail larvae from sheltered versus wavy habitats.

Authors:  Heidi L Fuchs; Gregory P Gerbi; Elias J Hunter; Adam J Christman
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

7.  Model-derived dispersal pathways from multiple source populations explain variability of invertebrate larval supply.

Authors:  Carla P Domingues; Rita Nolasco; Jesus Dubert; Henrique Queiroga
Journal:  PLoS One       Date:  2012-04-25       Impact factor: 3.240

8.  Larval connectivity and the international management of fisheries.

Authors:  Andrew S Kough; Claire B Paris; Mark J Butler
Journal:  PLoS One       Date:  2013-06-07       Impact factor: 3.240

9.  Recruitment constraints in Singapore's fluted giant clam (Tridacna squamosa) population--a dispersal model approach.

Authors:  Mei Lin Neo; Paul L A Erftemeijer; Jan K L van Beek; Dirk S van Maren; Serena L-M Teo; Peter A Todd
Journal:  PLoS One       Date:  2013-03-13       Impact factor: 3.240

10.  Larval dispersal modeling of pearl oyster Pinctada margaritifera following realistic environmental and biological forcing in Ahe atoll lagoon.

Authors:  Yoann Thomas; Franck Dumas; Serge Andréfouët
Journal:  PLoS One       Date:  2014-04-16       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.