Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection
Remote Sensing-Driven Pacific Oyster (Crassostrea gigas) Growth Modeling to Inform Offshore Aquaculture Site Selection
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DOI：
10.3389/fmars.2019.00802
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发表时间：
2020-01-14
影响因子：
3.7
通讯作者：
Barille, Laurent
中科院分区：
文献类型：
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作者：
Palmer, Stephanie C. J.;Gornez, Pierre M.;Barille, Laurent
水产养殖对全球海产品产量的贡献越来越大，需要新的养殖场才能持续增长。在法国，牡蛎养殖通常在潮间带进行，那里几乎没有进一步扩张的空间。尽管有兴趣将生产进一步转移到海外，但需要更多关于近海牡蛎生长的生物潜力的信息，包括其空间和时间变异性。这项研究使用了中分辨率成像光谱仪(MERIS)遥感的叶绿素a和总悬浮物浓度，以及先进的甚高分辨率辐射计(AVHRR)的海表面温度，所有这些都通过现场匹配测量进行了验证，作为法国大西洋沿岸一个研究地点(法国Bourgneuf Bay)运行动态能量预算(DEB)太平洋牡蛎生长模型的输入。所得到的牡蛎生长图使用在两个生长季节对牡蛎总重量的现场测量进行了校准和验证，这些测量来自目前进行养殖的潮间带，以及来自近海实验地点的幼贝(R-2=0.91；RMSE=1.60g)和成体(R-2=0.95；RMSE=4.34g)。牡蛎生长时间序列被进一步消化为与行业相关的指标，如达到市场权重的时间和质量指数，并与当地生产商和行业专业人士协商制定，并绘制了地图。离岸增长被发现是可行的，而且比潮间带快两倍(p<；0.001)。然而，调查地区的增长潜力也存在很大的变数。测绘揭示了近海环境中生产潜力的明显空间梯度，海湾的东北部比西南部更适合。结果还突出了时空数据的附加值，如卫星图像时间序列，以推动支持海洋空间规划的建模。目前的工作证明了在贝类养殖背景下采用这种耦合的遥感-建模方法的可行性和效益，以回应牡蛎生产者的实际和当前的利益。
Aquaculture increasingly contributes to global seafood production, requiring new farm sites for continued growth. In France, oyster cultivation has conventionally taken place in the intertidal zone, where there is little or no further room for expansion. Despite interest in moving production further offshore, more information is needed regarding the biological potential for offshore oyster growth, including its spatial and temporal variability. This study shows the use of remotely-sensed chlorophyll-a and total suspended matter concentrations retrieved from the Medium Resolution Imaging Spectrometer (MERIS), and sea surface temperature from the Advanced Very High Resolution Radiometer (AVHRR), all validated using in situ matchup measurements, as input to run a Dynamic Energy Budget (DEB) Pacific oyster growth model for a study site along the French Atlantic coast (Bourgneuf Bay, France). Resulting oyster growth maps were calibrated and validated using in situ measurements of total oyster weight made throughout two growing seasons, from the intertidal zone, where cultivation currently takes place, and from experimental offshore sites, for both spat (R-2 = 0.91; RMSE = 1.60 g) and adults (R-2 = 0.95; RMSE = 4.34 g). Oyster growth time series are further digested into industry-relevant indicators, such as time to achieve market weight and quality index, elaborated in consultation with local producers and industry professionals, and which are also mapped. Offshore growth is found to be feasible and to be as much as two times faster than in the intertidal zone (p < 0.001). However, the potential for growth is also revealed to be highly variable across the investigated area. Mapping reveals a clear spatial gradient in production potential in the offshore environment, with the northeastern segment of the bay far better suited than the southwestern. Results also highlight the added value of spatiotemporal data, such as satellite image time series, to drive modeling in support of marine spatial planning. The current work demonstrates the feasibility and benefit of such a coupled remote sensing-modeling approach within a shellfish farming context, responding to real and current interests of oyster producers.