13 resultados para biodeposition


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Effects of stocking density on seston dynamics and filtering and biodeposition by the suspension-cultured Zhikong scallop Chlamys farreri Jones et Preston in a eutrophic bay (Sishili Bay, northern China), were determined in a 3-month semi-field experiment with continuous flow-through seawater from the bay. Results showed that the presence of the scallops could strongly decrease seston and chlorophyll a concentrations in the water column. Moreover, in a limited water column, increasing scallop density could cause seston depletion due to scallop's filtering and biodeposition process, and impair scallop growth. Both filtration rate and biodeposition rate of C. farreri showed significant negative correlation with their density and positive relationship with seston concentration. Calculation predicts that the daily removal of suspended matter from water column by the scallops in Sishili Bay ecosystem can be as high as 45% of the total suspended matter; and the daily production of biodeposits by the scallops in early summer in farming zone may amount to 7.78 g m(-2), with daily C, N and P biodeposition rates of 3.06 x 10(-1), 3.86 x 10(-2) and 9.80 x 10(-3) g m(-2), respectively. The filtering and biodeposition by suspension-cultured scallops could substantially enhance the deposition of total suspended particulate material, suppress accumulation of particulate organic matter in water column, and increase the flux of C, N and P to benthos, strongly enhancing pelagic-benthic coupling. It was suggested that the filtering-biodeposition process by intensively suspension-cultured bivalve filter-feeders could exert strong top-down control on phytoplankton biomass and other suspended particulate material in coastal ecosystems. This study also indicated that commercially suspension-cultured bivalves may simultaneously and potentially aid in mitigating eutrophication pressures on coastal ecosystems subject to anthropogenic N and P loadings, serving as a eutrophic-environment bioremediator. The ecological services (e.g. filtering capacity, top-down control, and benthic-pelagic coupling) functioned by extractive bivalve aquaculture should be emphasized in coastal ecosystems. (c) 2005 Elsevier B.V. All rights reserved.

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In coastal ecosystems, suspension-cultured bivalve filter feeders may exert a strong impact on phytoplankton and other suspended particulate matter and induce strong pelagic-benthic coupling via intense filtering and biodeposition. We designed an in situ method to determine spatial variations in the filtering-biodeposition process by intensively suspension-cultured scallops Chlamys farreri in summer in a eutrophic bay (Sishili Bay, China), using cylindrical biodeposition traps directly suspended from longlines under ambient environmental conditions. Results showed that bivalve filtering-biodeposition could substantially enhance the deposition of total suspended material and the flux of C, N and P to the benthos, indicating that the suspended filter feeders could strongly enhance pelagic-benthic coupling and exert basin-scale impacts in the Sishili Bay ecosystem. The biodeposition rates of 1-yr-old scallops varied markedly among culture sites (33.8 to 133.0 mg dry material ind.(-1) d(-1)), and were positively correlated with seston concentrations. Mean C, N and P biodeposition rates were 4.00, 0.51, 0.11 mg ind.-1 d-1, respectively. The biodeposition rates of 2-yr-old scallops were almost double these values. Sedimentation rates at scallop culture sites averaged 2.46 times that at the reference site. Theoretically, the total water column of the bay could be filtered by the cultured scallops in 12 d, with daily seston removal amounting to 64%. This study indicated that filtering-biodeposition by suspension-cultured scallops could exert long-lasting top-down control on phytoplankton biomass and other suspended material in the Sishili Bay ecosystem. In coastal waters subject to anthropogenic N and P inputs, suspended bivalve aquaculture could be advantageous, not only economically, but also ecologically, by functioning as a biofilter and potentially mitigating eutrophication pressures. Compared with distribution-restricted wild bivalves, suspension-cultured bivalves in deeper coastal bays may be more efficient in processing seston on a basin scale.

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Stocks of the eastern oyster, Crassostrea virginica, have been declining in Chesapeake Bay since the late 19th century, and current strategies involve restoring culture of Crassostrea virginica on-bottom and in devices suspended within the water column. Sub-tidal suspension culture of Crassostrea virginica in Chesapeake Bay occurs mostly in sheltered inlets and tidal creeks and, thereby, has the potential to influence shallow water biogeochemical processes. To assess the influence of Crassostrea virginica biodeposits and benthic microalgae on sediment nitrogen and phosphorus exchange, field studies with Crassostrea virginica held in aquaculture floats and laboratory experiments were conducted. Enhanced organic nitrogen deposition from Crassostrea virginica biodeposits led to gradual increases in surface sediment nitrogen and pore water ammonium concentrations; however, modifications to pore water concentrations were not always expressed at the sediment-water interface. Benthic microalgae often modulated the influence of biodeposits on sediment nitrogen exchange but, as observed in laboratory experiments, the supply of nitrogen from Crassostrea virginica biodeposits may exceed their biological demand. Organic carbon from biodeposits had varying influences on aerobic respiration but consistently stimulated anaerobic metabolism. Shifts in net phosphorus exchange were driven by this anaerobic remineralization and concentrations of iron and manganese oxy(hydr)oxides, with transitions in fluxes coinciding with changes in benthic photosynthesis and oxidation of surface sediments. Manganese and iron oxy(hydr)oxides from biodeposits supported incorporation of added phosphorus and prevented exchange at the sediment-water interface in the absence of iron-sulfide mineral formation. Differences in the response of shallow water sediments to Crassostrea virginica biodeposits were due to the quality and quantity of biodeposits supplied, as well as the spatial and temporal variability within these sediments. Initial conditions and corresponding reference sediments illustrated the potential for sediment biogeochemistry and nutrient exchange from tidal creek sediments to vary spatially and temporally on relatively small scales. Factors influencing variability within tidal creek sediments were related to shifts in riverine freshwater inputs, macroalgal blooms, nutrient concentrations in overlying waters, and bioirrigation from the clam, Macoma balthica.

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The biotic potential of the benthic filter feeding freshwater bivalve mollusc Lamellidens marginalis (Lamarck) influencing the nutrient dynamics of the bottom sediments of the lake by means of biodeposition and bioturbation activities were analysed using a lake mesocosm experiment. Five control as well as experimental mesocosms was maintained up to 60 days (d). The factors studied included the percentage of water content of the sediment, percentage of total nitrogen, percentage of organic matter along with the total phosphorus and humic acid content. While total phosphorus and humic acid content of the experimental mesocosoms showed gradual and significant increases from 30d of the experiment to reach the maximum levels after 60d, the percentage of organic matter registered significant increases right from 15d onwards and reached the maximum values after 60d. On the other hand, while the percentage of water content of the sediments of the experimental mesocosoms increased only up to 30d experiment, percentage of nitrogen was increased during the first half and at the fag end of the experiment. All the investigated ecological factors were found to be significantly influenced by the presence of L. marginalis in the experimental mesocosms. The study indicated that the mussel influence the nutrient dynamics of the inhabitant ecosystem through the processes of excretion, biodeposition of pseudofaeces and faeces, along with the bioturbation of the sediments brought about by their ploughing movements. KEYWORDS: freshwater mussel, Lamellidens marginalis, bioturbation, biodeposition, mesocosms.

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近年来,由于对海区不合理的开发,我国浅海贝类筏式养殖接连遭受重创,这亟需从理论上和实践中确定养殖容量和养殖模式。本文在我国北方典型养殖海湾四十里湾对筏式养殖的贝类开展了现场生理生态学研究,对贝类对浮游植物等悬浮颗粒物的处理过程即贝类对颗粒有机物及营养元素C、N、P的摄食、吸收、排泄、排粪和生长进行了剖析,分析了贝类在沿岸养殖生态系中的物质和营养循环中所扮演的角色,为海区贝类养殖容量和养殖模式的最终确定提供了基础数据。另外,本文还对海水、沉积物及生物体中磷的分析方法进行了大量的实验工作。主要结果如下:① 比较系统地评述了双壳贝类的生物沉积(biodeposition)的原理、测定方法及其生态效应。贝类通过生物沉积在沿岸生态系中的物质和营养循环中扮演着重要的角色。国际上已有不少研究专门报道了贝类在海区现场的生物沉积。而在我国,这方面的研究却罕见。② 综述了双壳贝类各种形态的 N 和 P 排泄及其生态效应。对于我国广泛养殖 的栉孔扇贝、海湾扇贝和牡蛎等双壳贝类的TDN、TP排泄尚未见报道。 ③ 在6~7月,在四十里湾的不同养殖海区(8个站位)对扇贝的生物沉积进行了现场测定。在整个四十里湾海区,一龄栉孔扇贝(壳高 41.1±4.1mm,软体干重 0.48±O.10 g/ind))每个每天所产生生物沉积物干重平均为59.9mg,对颗粒有机质(POM)、颗粒有机碳(POC)、颗粒有机氮(PON)和颗粒有机磷(POP)的生物沉积速率范围及平均值分别为: 6.88、3.09、0.392 和 0.022mg/ind·d。还在一个站位测定了海湾扇贝(壳高 24.6±2.3mm;软体干重 O.14g/ind)的生物沉积速率为 24.3mg/ind·d,或179.2mg/g·d。不同站位一龄栉孔扇贝的生物沉积速率有较大变化,这主要与饵料浓度不同有关。二龄栉孔扇贝(壳高60.9±8.2mm;软体干重1.91±0.32 g/ind)的生物沉积速率平均为 112.7mg/ind·d,对POM、POC、PON和POP的沉积速率分别是一龄扇贝的1.85倍、1.68倍、1.77倍和2.33倍。养殖海区与非养殖海区比较,前者近海底沉积速率是后者的 1.51~3.47 倍。根据以上数据,作者计算了中等规格栉孔扇贝(用壳高 41.1±4.8mm 扇贝估算)在四十里湾在夏季每天的生物沉积量达 162 吨(干重),或18.6tPOM、8.37tPOC、1.06tPON和60kgPP。在四十里湾的贝类筏式养殖海区,可以估计贝类每年因生物沉积的生产而循环427tN和98.OtP(包括20.0t OP的贡献),它们能分别满足浮游藻类生产所需求N和P的17.0%和28.3%(其中OP贡献 6.9%)。可见,贝类在养殖生态系的物质和营养盐循环中扮演着重要的角色。高密度、大面积的贝类养殖使大量的生物沉积物聚集于海底,可能对海区环境产生冲击。作者分析,98年8月份烟台养殖区赤潮的发生很可能与海底生物沉积物营养盐的快速释放以及栉孔扇贝大面积死亡而使浮游藻类失去了摄食控制有关,而风平浪静和养殖笼对水流的阻挡也为赤潮的发生提供了有利条件。④ 采用半现场流水系统法测定了栉孔扇贝在不同养殖密度、不同养殖模式(扇贝单养、贝藻混养、贝藻参混养)中的生物沉积。实验时间尺度大,前后计80天。结果说明扇贝的生物沉积速率与其养殖密度呈反比关系。养殖密度的高低影响饵料浓度的变化(两者呈负相关的对数函数关系),而饵料浓度的高低直接决定着扇贝的生物沉积速率的高低,两者呈正相关关系(生物沉积速率与POC和叶绿 a 分别呈对数和指数函数关系)。不仅生物沉积物的数量与养殖密度(或饵料浓度)有关,生物沉积物的质量同样与养殖密度(或饵料浓度)有关。栉孔扇贝的养殖使沉积物的有机质含量及C、N 和 P 含量降低,且密度越高,它们的含量越低。这反映了扇贝对环境的适应能力。在海带和扇贝的混养模式中,海带对扇贝生物沉积物的数量和质量不构成影响,当然这是在海带不影响浮游植物数量的前提下得出的结果。而实际上在自然海区两者可能是竞争关系。⑤ 对从海区取回到实验室的多种滤食性动物,包括经济双壳贝类(栉孔扇贝、海湾扇贝、长牡蛎、贻贝、菲律宾蛤仔等)和养殖中的污损动物(栖海鞘、玻璃海鞘、藤壶、玟斑稜蛤)的 N 和 P 排泄进行了测定,包括排泄成分和排泄速率。在N排泄中,NH_4-H 占主要部分,如笼式养殖的双壳贝类 NH_4-N 占总N排泄的70%以上,平均值范围为70.8~80.1%。氨基酸是第二大排泄成分,平均占总N排泄的10~25%。其它形态的N,如尿素、亚硝酸盐和硝酸盐也有检出,如双壳贝类尿素氮在总氮排泄中占 2~5%。但在双壳贝类中未检出尿酸氮。比较而言,海鞘、藤壶的尿素氮相对高一些。在P排泄中,OP约占TDP排泄的15~27%。栉孔扇贝TDP排泄速率为0.281μmol/h·ind。作者以实验室测定结果计算,在整个四十里湾的夏季,所养殖的双壳贝类每天将排泄4.54t总溶解氮,其中NH_4-N 3.36t、Amino-N 0.69t、Urea-N 0.2t。 同时每天磷的排泄为0.57t TDP,其中OP O.15t。对面积为1.3 * 10~4hm~2的海区而言,贝类的N、P排泄分别能满足浮游植物生产所需N、P的44%和40%。尽管Urea-N所占比例有限,但也能满足海区浮游植物所需 N 的 2%左右。以上说二月高密度的贝类养殖对海区生态系统营养盐循环的影响是很显著的。附着动物(柄海鞘等)的N、P 排泄也不容忽视,它们分别能满足浮游藻类生产所需 N、P 的 ll%和 12%。它们一方面通过排泄和排粪加速营养盐和物质的循环对浮游植物的生长产生刺激作用;另一方面,对藻类产生摄食控制,如果海区中滤食性动物太多,即使营养盐再丰富也难以使浮游植物大量繁殖,这无疑将影响滤食性动物的生长速率。⑥ 运用近年来发展起来的生物沉积法对四十里湾半现场流水系统中贝类的滤水率、吸收率、生长率、生态效率等生理生态学参数进行了测定。栉孔扇贝(收获时规格0.194~0.412g软体干重/ind)滤水率平均为3.65 1/ind·h。扇贝放养密度和饵料浓度没有显著关系。扇贝的总摄食率平均为3.98mg/ind·h,对POM、POC、PON的 摄食率范围为0.84~1.87、0.335~0.748、0.0515~O.1293mg/ind·h。扇贝的摄食率随放养密度的升高而降低,与POM呈正相关关系。扇贝的吸收速率受密度和饵料浓度的影响不明显。扇贝对N的吸收效率较C、P稍高,对总有机质的吸收效率为75.9±4.1%,如此高的吸收效率与低饵料浓度有关。扇贝氨基酸泄漏所损失的能量高于排氨的能量损失。代谢能与吸收能呈明显的正相关关系。SFG与饵料浓度呈正相关关系。总生长效率K1(* 100)变化较大,范围为20~49;净生长效率K,K_2(* 100)随POM的升高而升高。扇贝对N的总生态效率范围为6.2~12.8%(平均9.9%),这高于对C(平均5.9%)和P(平均4.1%)的总生态效率。扇贝对POC、PON和PP的生长余力(SFG_C、SFG_N、SFG_P)平均分别为197、46.8和6.2μg/ind·h,它们分别与POC、PON和PP呈正比关系。扇贝对N的净生长率高于对C和P的净生长率。在N的预算中,如果仅考虑NH_4-N的排泄而忽视其它形态氮的排泄,将会产生很大偏差(平均约20%)。扇贝贝壳生长所需的能量在整个扇贝生长所需能量的9.0~15.1%(平均 11.2%);贝壳C、N和P在扇贝生长中所占的比例分别为10.5~17.8%、9.4~16.1%和8.7~15.O%。可见,贝壳不管在能量预算还是在元素预算中都不应该被忽视。理论计算而得到的SFG和SFG_C、SFG_N、SFG_P与扇贝的实际生长和扇贝C、N、P的实际增长量之间呈正相关关系,但前者明显过高地估计了扇贝的生长。⑦ 运用生物沉积法在四十里湾养殖海区现场对栉孔扇贝的生理生态学特征进行了研究。不同海区扇贝的滤水率有变化,一龄扇贝(41.1±4.1mm,软体干重 0.48±O.10g/ind)滤水率变化范围为 0.72~2.54(平均 1.27)1/ind·h 或 1.65~5.97(平均 2.61)1/g·h。与半现场研究结果一致,滤水率与TPM没有明显关系,而摄食率却与TPM呈正相关关系。二龄扇贝(软体干重 1.91±0.32g/ind)滤水率为 2.09~3.99(平均 3.10)1/ind·h。吸收速率与POM(或TDM)呈正相关关系,与饵料质量(POM/TPM)无明显的相关关系。吸收效率AE_(POM)与TPM(或POM)没有相关关系,却与饵料质量呈明显 的正相关关系。扇贝对POC、PON和PP的吸收效率平均分别为68.9%、64.0%和63.6%。不同海区SFG差别很大。一龄扇贝SFG范围为-O.174~24.08 J/ind·h,SFG与饵料浓度POM呈正相关关系。SFG负值的出现主要与低饵料浓度有关。SFG_C、SFG_N、SFG_P分别与POC、PON和PP呈正相关关系。在N的生长余力计算中,如果仅考虑NH_4-N排泄,而不考虑其它形态N的排泄,就可能产生相当大的偏差,偏差范围为11~360%,这高于半现场的偏差值,显然SFG_N越低,产生的偏差就越大。这说明在饵料不足、扇贝生长受到限制的环境下进行N生长余力的计算时必须考虑其它形态N的排泄。⑧ 对四十里湾养殖海区一些双壳贝类和藻类的化学组成和有机净生产量进行了讨论。不同双壳贝类的软体有机碳含量差别不大,而N含量差异较大。栉孔扇贝N含量最高(占软体干重的12.36%),而牡蛎、毛蚶软体N含量相对较低,为 8~9%。从双壳贝类贝壳的组成来看,贻贝和菲律宾蛤仔贝壳中N含量最高,分别为 0.55% 和 0.56%;而栉孔扇贝贝壳N含量相对较低,在 O.1%左右。贻贝贝壳有机磷含量 (308ppm) 也明显高于栉孔扇贝贝壳(62.1 ppm)。不同海区海带的 C/N 比值较高,变化明显,范围为17.36~30.23。石莼与此相似。大型藻类高 C/N 比值说明海区营养元素N的不足。海带的不同部位N含量差别很大,中带部和边叶在不同海区有较大变化,即对环境的营养状况比较敏感。紫贻贝贝壳中C、H、N 和 P 的含量在整个贻贝中占有相对大的比例,分别为 30.4%、30.2%、31.8%和 29.6%。

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The growth and survival of the Zhikong scallop Chlamys farreri suspended in deep water of Haizhou Bay were studied from July 2007 to June 2008, and the biodeposition method was used to estimate the clearance rate of C. farreri under field conditions. Results showed that the scallop grew fast during all the culture time, with the exception of summer. The condition index of the scallop increased with time and reached the highest value in spring of the second year. The survival of scallops was 60.8 +/- A 3.9% at the end of this study, mortality occurring mainly during the summer and autumn of the first year. The clearance rate fluctuated obviously with season,with the highest value in September 2007, and the lowest value in March 2008. Factors accounting for variations in growth and clearance rate of scallops are also discussed.

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The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

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The purpose of this study is to produce a series of Conceptual Ecological Models (CEMs) that represent sublittoral rock habitats in the UK. CEMs are diagrammatic representations of the influences and processes that occur within an ecosystem. They can be used to identify critical aspects of an ecosystem that may be studied further, or serve as the basis for the selection of indicators for environmental monitoring purposes. The models produced by this project are control diagrams, representing the unimpacted state of the environment free from anthropogenic pressures. It is intended that the models produced by this project will be used to guide indicator selection for the monitoring of this habitat in UK waters. CEMs may eventually be produced for a range of habitat types defined under the UK Marine Biodiversity Monitoring R&D Programme (UKMBMP), which, along with stressor models, are designed to show the interactions within impacted habitats, would form the basis of a robust method for indicator selection. This project builds on the work to develop CEMs for shallow sublittoral coarse sediment habitats (Alexander et al 2014). The project scope included those habitats defined as ‘sublittoral rock’. This definition includes those habitats that fall into the EUNIS Level 3 classifications A3.1 Atlantic and Mediterranean high energy infralittoral rock, A3.2 Atlantic and Mediterranean moderate energy infralittoral rock, A3.3 Atlantic and Mediterranean low energy infralittoral rock, A4.1 Atlantic and Mediterranean high energy circalittoral rock, A4.2 Atlantic and Mediterranean moderate energy circalittoral rock, and A4.3 Atlantic and Mediterranean low energy circalittoral rock as well as the constituent Level 4 and 5 biotopes that are relevant to UK waters. A species list of characterising fauna to be included within the scope of the models was identified using an iterative process to refine the full list of species found within the relevant Level 5 biotopes. A literature review was conducted using a pragmatic and iterative approach to gather evidence regarding species traits and information that would be used to inform the models and characterise the interactions that occur within the sublittoral rock habitat. All information gathered during the literature review was entered into a data logging pro-forma spreadsheet that accompanies this report. Wherever possible, attempts were made to collect information from UK-specific peer-reviewed studies, although other sources were used where necessary. All data gathered was subject to a detailed confidence assessment. Expert judgement by the project team was utilised to provide information for aspects of the models for which references could not be sourced within the project timeframe. A multivariate analysis approach was adopted to assess ecologically similar groups (based on ecological and life history traits) of fauna from the identified species to form the basis of the models. A model hierarchy was developed based on these ecological groups. One general control model was produced that indicated the high-level drivers, inputs, biological assemblages, ecosystem processes and outputs that occur in sublittoral rock habitats. In addition to this, seven detailed sub-models were produced, which each focussed on a particular ecological group of fauna within the habitat: ‘macroalgae’, ‘temporarily or permanently attached active filter feeders’, ‘temporarily or permanently attached passive filter feeders’, ‘bivalves, brachiopods and other encrusting filter feeders’, ‘tube building fauna’, ‘scavengers and predatory fauna’, and ‘non-predatory mobile fauna’. Each sub-model is accompanied by an associated confidence model that presents confidence in the links between each model component. The models are split into seven levels and take spatial and temporal scale into account through their design, as well as magnitude and direction of influence. The seven levels include regional to global drivers, water column processes, local inputs/processes at the seabed, habitat and biological assemblage, output processes, local ecosystem functions, and regional to global ecosystem functions. The models indicate that whilst the high level drivers that affect each ecological group are largely similar, the output processes performed by the biota and the resulting ecosystem functions vary both in number and importance between groups. Confidence within the models as a whole is generally high, reflecting the level of information gathered during the literature review. Physical drivers which influence the ecosystem were found to be of high importance for the sublittoral rock habitat, with factors such as wave exposure, water depth and water currents noted to be crucial in defining the biological assemblages. Other important factors such as recruitment/propagule supply, and those which affect primary production, such as suspended sediments, light attenuation and water chemistry and temperature, were also noted to be key and act to influence the food sources consumed by the biological assemblages of the habitat, and the biological assemblages themselves. Output processes performed by the biological assemblages are variable between ecological groups depending on the specific flora and fauna present and the role they perform within the ecosystem. Of particular importance are the outputs performed by the macroalgae group, which are diverse in nature and exert influence over other ecological groups in the habitat. Important output processes from the habitat as a whole include primary and secondary production, bioengineering, biodeposition (in mixed sediment habitats) and the supply of propagules; these in turn influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability (in mixed sediment habitats), habitat provision and population and algae control. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions that occur at the regional to global scale. Features within the models that are most useful for monitoring habitat status and change due to natural variation have been identified, as have those that may be useful for monitoring to identify anthropogenic causes of change within the ecosystem. Biological, physical and chemical features of the ecosystem have been identified as potential indicators to monitor natural variation, whereas biological factors and those physical /chemical factors most likely to affect primary production have predominantly been identified as most likely to indicate change due to anthropogenic pressures.

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The condition and quality of cultured blue mussels (Mytilus edulis) are affected by various environmental characteristics including temperature, salinity, food concentration, composition and year-to-year variability, waves, tides, and currents. Mussels are a keystone species in the ecosystem, affecting the surrounding environment through filtration, biodeposition and nutrient recycling. This study evaluated the effects of culture depth and post-harvest handling on cultured blue mussels in Newfoundland, Canada. Depth was examined over two years; three shallow water (5 m depth) and three deep water sites (15 m depth) were compared for environmental characteristics, mussel physiological stress response, growth, and biochemical composition. The area examined presented complex hydrodynamic characteristics; deep water sites appeared to be located more often near or within the pycnocline than shallow water sites. Deep water sites presented lower temperatures than shallow sites from spring to fall. Physiological stress response varied seasonally, but was unaffected by culture depth. In Year 1 shallow and deep water mussels presented similar growth, while in Year 2 deep water mussels showed better final condition. Lipid and glycogen showed seasonal variation, but no significant differences between shallow and deep water were noted. Fatty acid profiles showed a higher content of omega-3s PUFA in deep water sites at the end of Year 2. Under extreme weather conditions, deep water appeared to provide a more stable environment for mussel growth than shallow water. Harvested mussels were kept under ambient live-holding conditions for one month during the fall, winter, and spring seasons. They were compared to freshly harvested mussels for condition, biochemical profile and palatability. A progressive loss of dry tissue weight and an increase in water content were shown over the holding period during the fall and spring seasons, when compared to field controls. The biochemical analysis suggested seasonal changes; differences in triacylglycerol content were found in the spring season when compared with controls. The palatability data indicated that the panellists were unable to determine a difference between mussels kept in holding and those freshly harvested from the site. This study presents new knowledge for mussel farming, especially in terms of environmental interactions and deep water culture.

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Intertidal flats of the estuarine macro-intertidal Baie des Veys (France) were investigated to identify spatial features of sediment and microphytobenthos (MPB) in April 2003. Gradients occurred within the domain, and patches were identified close to vegetated areas or within the oyster-farming areas where calm physical conditions and biodeposition altered the sediment and MPB landscapes. Spatial patterns of chl a content were explained primarily by the influence of sediment features, while bed elevation and compaction brought only minor insights into MPB distribution regulation. The smaller size of MPB patches compared to silt patches revealed the interplay between physical structure defining the sediment landscape, the biotic patches that they contain, and that median grain-size is the most important parameter in explaining the spatial pattern of MPB. Small-scale temporal dynamics of sediment chl a content and grain-size distribution were surveyed in parallel during 2 periods of 14 d to detect tidal and seasonal variations. Our results showed a weak relationship between mud fraction and MPB biomass in March, and this relationship fully disappeared in July. Tidal exposure was the most important parameter in explaining the summer temporal dynamics of MPB. This study reveals the general importance of bed elevation and tidal exposure in muddy habitats and that silt content was a prime governing physical factor in winter. Biostabilisation processes seemed to behave only as secondary factors that could only amplify the initial silt accumulation in summer rather than primary factors explaining spatial or long-term trends of sediment changes.