Ontogenetic habitat shift in Pugettia quadridens on the coast of Sagami Bay, Japan

Ohtsuchi, Naoya; Kawamura, Tomohiko; Kurogi, Hiroaki; Watanabe, Yoshirô

doi:10.1007/s12562-017-1171-4

Cited by 6 publications

(4 citation statements)

References 43 publications

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“…2). As described in other contributions to this special issue, many fish and invertebrates in coastal areas are transported passively during planktonic larval stages, grow in nursery habitats, then recruit into adult habitats when they mature; this is accompanied by changes in feeding habitat Kurita et al 2018;Ohtsuchi et al 2018;Shirafuji et al 2018;Takami and Kawamura 2018). Therefore, life history models for coastal animals, even those involving single species, are tightly linked to population connectivity, habitat heterogeneity, and trophic interactions (Fig.…”

Section: Life History Modelsmentioning

confidence: 99%

“…Ontogenetic habitat shift is one of main topics of this issue Kurita et al 2018;Minami et al 2018;Ohtsuchi et al 2018;Shirafuji et al 2018;Takami and Kawamura 2018). Clear shifts during early life history stages have been observed for Pacific herring (Shirafuji et al 2018), Japanese flounder (Kurita et al 2018), abalone (Takami and Kawamura 2018), turban snails , kelp crabs , and Japanese sea cucumber (Minami et al 2018).…”

Section: Possible Applications: Case Studies In This Special Issuementioning

confidence: 99%

“…Below, we consider three issues (habitat function, ontogenetic development from planktonic larvae to benthic/nektonic juvenile, and recruitment variability) that have been identified in case studies of the special issue as being important Hasegawa et al 2018;Hayakawa et al 2018;Ichimi et al, unpublished data;Kasai et al 2018;Minami et al 2018;Ohtsuchi et al 2018;Shirafuji et al 2018;Takami and Kawamura 2018;Tanaka et al 2018;Sawada et al unpublished data).…”

Section: Challengesmentioning

confidence: 99%

“…Indeed, Rose et al (2015) modeled the entire life cycles of sardine and anchovy in the California Current System. If these models included benthic habitats they would be able to model settlement from planktonic stages to the benthos, and the subsequent ontogenetic habitat shifts Minami et al 2018;Ohtsuchi et al 2018;Takami and Kawamura 2018;Sawada et al, unpublished data). Although Ecospace and Atlantis include benthic habitats and generally consider finer trophic networks than do IBMs, the resolution of early life history stages is relatively coarse, partly because of the high computational cost.…”

Section: Challengesmentioning

confidence: 99%

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Modeling the coastal ecosystem complex: present situation and challenges

et al. 2018

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To enhance numerical modeling of the coastal ecosystem complex (CEC), we reviewed the CEC and related concepts along with the current coastal ecosystem model framework in this study. We identified two model implementation paths from the initial objectives to numerical models: specific model building, and the use of existing model frameworks. As the CEC is still at the conceptual stage, both paths are possible. Four important ecological features of CEC modeling (population connectivity, habitat heterogeneity, ontogeny of organisms, and trophic interactions) were also identified. Models for population connectivity, species distributions, life histories, and food webs were categorized using these features. We found that some previously established concepts (between-habitat interactions, coastal ecosystem mosaic, and seascape nursery) overlap with the CEC concept. Several existing integrated model frameworks were reviewed, focusing on their potential to simulate CEC processes. Building specific models for the CEC at the current conceptual stage will be challenging, and modification of existing models will be needed if they are to be used for CEC modeling. Habitat function, ontogenetic development in early life stages, and recruitment variability are important factors when modifying existing models for the development of CEC models. Although model complexity should become high to reproduce observed ecoclogical processes, an intermediate level of model ccomplexity is feasible to decrease parameter uncertainty in models for fisheries management.

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Section: Life History Modelsmentioning

confidence: 99%