Effects of spatial scale on assessments of suspension bivalve aquaculture for productivity and environmental impacts
Effects of spatial scale on assessments of suspension bivalve aquaculture for productivity and environmental impacts
复制标题
空间尺度对双壳类悬浮养殖生产力和环境影响评估的影响
DOI:
10.1016/j.aquaculture.2022.738082
复制
发表时间:
2022
期刊:
影响因子:
4.5
通讯作者:
Nishimura Osamu
中科院分区:
文献类型:
--
作者:
Sakamaki Takashi;Zheng Yizhe;Hatakeyama Yuji;Fujibayashi Megumu;Nishimura Osamu
Proper evaluations of productivity and environmental impacts of bivalve aquaculture are necessary to achieve sustainable operations in coastal marine systems. Estimation of organic matter budgets using completely mixed one-box models provides an easy approach to help stakeholders of environmental management and aquaculture fisheries obtain an overview of the interactions between aquaculture and the environment. However, estimations and interpretations are highly dependent on the spatial scale of assessments because the distributions of aquaculture facilities and ecosystem structures are spatially heterogeneous. The objective of the present study was to examine how the spatial scale of assessments for the budgets of particulate organic matter (POM) affects the interpretation of the site-specific food supply for suspension oyster aquaculture and impacts of oyster biodeposition on local bottom environments. Based on the actual distribution of oyster farms in a temperate bay on the northeast coast of Japan, we estimated [food supply]/[food demand] (S/D) for oysters as well as the relative contribution of oyster biodeposition to the total deposition of POM (Brel) in the bay along a gradient of spatial scaleslfrom 0.5 m to 4000 m. Although food limitation for aquaculture oysters has been reported in the study bay,S/Dwas greater than 1 (ranging from 16 to 154) over the spatial scale gradient.S/Dtended to be relatively high and overestimated forl< 200 m andl> 1400 m due to the nature of completely mixed one-box models, but relatively lower at intermediate scales.Brelwas higher in assessments at farms or smaller scales (e.g.,l< 100 m) and was relatively lower at larger scales (e.g., <0.2 at the scale of >500 m). Based on our model-based calculations, the patterns of variation inS/Dalong the spatial scale gradient are considered to be universal; however, the scale at whichS/Dvalues are relatively low varies depending on site-specific conditions, including primary productivity and current velocity. Our findings suggest that estimated budgets of POM need to be carefully interpreted, accounting for model assumptions as well as the influence of the spatial scale of assessments.