Modeling of integrated marine ecosystem including the generation-tracing type scallop growth model

Sato, Tatsuaki; Imazu, Yugo; Sakawa, Takuya; Kazama, Takahiro; Wakabayashi, Takashi; Uhrenholdt, Thomas

doi:10.1016/j.ecolmodel.2007.06.003

Cited by 12 publications

(3 citation statements)

References 18 publications

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“…The area of the lagoon is 152 km 2 and has an average depth of 14 m [ 30 ]. There are 8 major rivers that flow into the lagoon, with seasonal differences in the freshwater discharges, and the Saromabetsu River in the eastern part of the lagoon is the largest in terms of catchment size [ 47 ]. The watersheds of these rivers mainly consist of forests and agricultural lands.…”

Section: Methodsmentioning

confidence: 99%

Spatial patterns and predictor variables vary among different types of primary producers and consumers in eelgrass (Zostera marina) beds

Namba

Nakaoka

2018

PLoS ONE

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Eelgrass (Zostera marina) forms extensive beds in coastal and estuarine environments and provides various ecosystem functions. The aboveground part of eelgrass provides habitats for other types of primary producers such as epiphytic microalgae and for epifaunal invertebrate grazers. Because of the different sizes, generation times and resource requirements, these different types of producers and consumers may be affected by different sets of biotic/abiotic factors over multiple spatial scales. We examined the spatial variations in three functional groups of eelgrass beds (eelgrass, epiphytic microalgae and epifaunal invertebrates) and the abiotic/biotic factors responsible for these variations in three lagoons with different environmental properties at the eastern region of Hokkaido Island, Japan. The spatial scale responsible for the variation in the biomasses of the three functional groups varied, where within-lagoon variation was important for eelgrass and epifauna but among-lagoon variation was important for microalgae. The environmental predictors for the observed spatial variations also differed among the different functional groups, with variation in eelgrass biomass related to depth, nutrient and salinity, epiphytes to water temperature, eelgrass biomass and water column chlorophyll and epifauna mainly to eelgrass biomass. These results revealed that the level of importance of among- and within-lagoon environmental gradients vary in the different functional groups of the eelgrass bed community. The large-scale variation in pelagic productivity, which is tightly related to the ocean current regimes, is likely responsible for the great among-lagoon variation in microalgae. The local variations in environmental factors such as salinity and nutrients, which change with alterations in terrestrial river inputs, are likely related to the great variations in eelgrass and epifauna within the ecosystem. The observed relationship of epifauna with eelgrass biomass indicates the importance of non-trophic plant-animal interactions because epifauna utilize eelgrass as habitat. We therefore emphasize the importance of evaluating spatial variations at multiple scales to further understand the functions of coastal and estuarine ecosystems.

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Section: Methodsmentioning

confidence: 99%

Spatial patterns and predictor variables vary among different types of primary producers and consumers in eelgrass (Zostera marina) beds

Namba

Nakaoka

2018

PLoS ONE

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“…13.1 ). By contrast, low temperatures and low salinity levels observed from November to April drive from the East Sakhalin cold current, which is dominant in winter season (Sato et al 2007 ). In the lake, two artifi cial sea mouths have been excavated where the water exchange can be maintained.…”

Section: Profi Le Of Case Study Site (Saroma Lake)mentioning

confidence: 99%

Community Practices for Disaster Risk Reduction in Japan

Shaw¹

2014

Disaster Risk Reduction

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Disaster risk reduction is a process, which leads to the safety of community and nations. After the 2005 World Conference on Disaster Reduction, held in Kobe, Japan, the Hyogo Framework for Action (HFA) was adopted as a framework of risk reduction. The academic research and higher education in disaster risk reduction has made/is making gradual shift from pure basic research to applied, implementation oriented research. More emphasis is given on the multi-stakeholder collaboration and multi-disciplinary research. Emerging university networks in Asia, Europe, Africa and Americas have urged for the process-oriented research in disaster risk reduction fi eld. Keeping this in mind, this new series will promote the outputs of action research on disaster risk reduction, which will be useful for a wider range of stakeholders including academicians, professionals, practitioners, and students and researchers in the related fi eld. The series will focus on some of emerging needs in the risk reduction fi eld, starting from climate change adaptation, urban ecosystem, coastal risk reduction, education for sustainable development, community based practices, risk communication, human security etc. Through academic review, this series will encourage young researchers and practitioners to analyze fi eld practices, and link it to theory and policies with logic, data and evidences. Thus, the series emphasizes evidence based risk reduction methods, approaches and practices.

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“…In contrast, studies describing the coupling of an ecosystem model and a bivalve ecophysiological model are less numerous. Most of these studies were conducted with the aim of improving the management of shellfish aquaculture and fishery (Dowd, 1997, Pastres et al, 2001, Marinov et al, 2007, Sato et al, 2007 or to assess the carrying capacity of cultivated ecosystems (Raillard and Ménesguen, 1994, Duarte et al, 2003, Grant et al, 2007, Ferreira et al, 2008, Spillman et al, 2008. These models link biogeochemical models of varying complexity with net production models that primarily describe the growth of total soft body weight.…”

Section: Introductionmentioning

confidence: 99%

Modelling the influence of environmental factors on the physiological status of the Pacific oyster Crassostrea gigas in an estuarine embayment; The Baie des Veys (France)

Grangeré

Ménesguen

Lefebvre

et al. 2009

Journal of Sea Research

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It is well known that temporal changes in bivalve body mass are strongly correlated with temporal variations in water temperature and food supply. In order to study the influence of the year-to-year variability of environmental factors on oyster growth, we coupled a biogeochemical sub-model, which simulates trophic resources of oysters (i.e. phytoplankton biomass via chlorophyll a), and an ecophysiological sub-model, which simulates growth and reproduction (i.e. gametogenesis and spawning), using mechanistic bases. The biogeochemical sub-model successfully simulated phytoplankton dynamics using river nutrient inputs and meteorological factors as forcing functions. Adequate simulation of oyster growth dynamics requires a relevant food quantifier compatible with outputs of the biogeochemical sub-model (i.e. chlorophyll a concentration). We decided to use the phytoplankton carbon concentration as quantifier for food, as it is a better estimator of the energy really available to oysters. The transformation of chlorophyll a concentration into carbon concentration using a variable chlorophyll a to carbon ratio enabled us to improve the simulation of oyster growth especially during the starvation period (i.e. autumn and winter). Once validated, the coupled model was a suitable tool to study the influence of the year-to-year variability of phytoplankton dynamics and water temperature on the gonado-somatic growth of the Pacific oyster. Four years with highly contrasted meteorological conditions (river inputs, water temperature and light) 2000, 2001, 2002 and 2003, were simulated. The years were split into two groups, wet years (2000 and 2001) and dry years (2002 and 2003). Significant variability of the response of oysters to environmental conditions was highlighted between the four scenarios. In the wet years, an increase in loadings of river nutrients and suspended particulate matter led to a shift in the initiation and the magnitude of the phytoplanktonic spring bloom, and consequently to a shift in oyster growth patterns. In contrast, in the dry years, an increase in water temperature-especially during summer-resulted in early spawning. Thus, the gonado-somatic growth pattern of oysters was shown to be sensitive to variations in river loadings and water temperature. In this context, the physiological status of oysters is discussed using a relevant indicator of energy needs.

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Modeling of integrated marine ecosystem including the generation-tracing type scallop growth model

Cited by 12 publications

References 18 publications

Spatial patterns and predictor variables vary among different types of primary producers and consumers in eelgrass (Zostera marina) beds

Spatial patterns and predictor variables vary among different types of primary producers and consumers in eelgrass (Zostera marina) beds

Community Practices for Disaster Risk Reduction in Japan

Modelling the influence of environmental factors on the physiological status of the Pacific oyster Crassostrea gigas in an estuarine embayment; The Baie des Veys (France)

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