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Parameterisation and application of dynamic energy budget model to sea cucumber Apostichopus japonicus

文献类型： 外文期刊

作者： Ren, Jeffrey S. 1 ; Stenton-Dozey, Jeanie 1 ; Zhang, Jihong 2 ;

作者机构： 1.Natl Inst Water & Atmospher Res, 10 Kyle St,POB 8602, Christchurch 8440, New Zealand

2.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, 106 Nanjing Rd, Qingdao 266071, Peoples R China

3.Qingdao Natl Lab Marine Sci & Technol, Funct Lab Marine Fisheries Sci & Food Prod Proc, 1 Wenhai Rd, Qingdao 266200, Peoples R China

关键词： Sea cucumber; Dynamic energy budget model; DEB model; Parameterisation; Covariation method; Application

期刊名称：AQUACULTURE ENVIRONMENT INTERACTIONS （ 影响因子：3.074； 五年影响因子：3.475 ）

ISSN： 1869-215X

年卷期： 2017 年 9 卷

页码：

收录情况： SCI

摘要： The sea cucumber Apostichopus japonicus is an important aquaculture species in China. As global interest in sustainable aquaculture grows, the species has increasingly been used for co- culture in integrated multitrophic aquaculture (IMTA). To provide a basis for optimising stocking density in IMTA systems, we parameterised and validated a standard dynamic energy budget (DEB) model for the sea cucumber. The covariation method was used to estimate parameters of the model with the DEBtool package. The method is based on minimisation of the weighted sum of squared deviation for datasets and model predictions in one single-step procedure. Implementation of the package requires meaningful initial values of parameters, which were estimated using non-linear regression. Parameterisation of the model suggested that the accuracy of the lower (TL) and upper (TH) boundaries of tolerance temperatures are particularly important, as these would trigger the unique behaviour of the sea cucumber for hibernation and aestivation. After parameterisation, the model was validated with datasets from a shellfish aquaculture environment in which sea cucumbers were co-cultured with the scallop Chlamys farreri and Pacific oyster Crassostrea gigas at various combinations of density. The model was also applied to a land-based pond culture environment where the sea cucumber underwent a fast growth period in spring and non-growth periods during winter hibernation and summer aestivation. Application of the model to datasets showed that the model is capable of simulating the physiological behaviour of the sea cucumber and responds adequately to the wide range of environmental and culture conditions.

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