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Conceptual Ecological Modelling of Shallow Sublittoral Mixed Sediment Habitats to Inform Indicator Selection.

机译:浅滩下混合沉积物栖息地的概念生态建模,以告知指标选择。

摘要

The purpose of this study is to produce a series of conceptual ecological models (CEMs) which represent shallow sublittoral mixed sediment habitats in the UK. CEMs are diagrammatic representations of the influences and processes which occur within an ecosystem. They can be used to identify critical aspects of an ecosystem which may be taken forward for further study, 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. The project scope included the Marine Strategy Framework Directive (MSFD) predominant habitat type ‘shallow sublittoral mixed sediment’. This definition includes those habitats which fall into the EUNIS Level 4 classifications A5.43 Infralittoral Mixed Sediments and A5.44 Circalittoral Mixed Sediments, along with their constituent Level 5 biotopes which 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 to gather evidence regarding species traits and information to inform the models. All information gathered during the literature review was entered into a data logging pro forma spreadsheet which 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 model hierarchy was developed based on groups of fauna with similar species traits which aligned with previous sensitivity studies of ecological groups. A general model was produced to indicate the high level drivers, inputs, biological assemblages, ecosystem processes and outputs which occur in shallow sublittoral mixed sediment habitats. In addition to this, five detailed sub-models were produced. Each focussed on a particular functional group of fauna within the habitat: ‘temporary or permanently attached epifauna’, ‘mobile epifauna, scavengers and predators’, ‘suspension and deposit feeding fauna’, ‘temporary or permanently attached surface dwelling or shallowly buried larger bivalves’ and ‘small mobile epifauna and tube dwelling crustaceans’. Each sub-model is accompanied by an associated confidence model which 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 which affect each functional 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. Important drivers which influence the ecosystem include factors such as wave exposure, depth, water currents, climate and propagule supply. These factors, in combination with seabed and water column processes such as primary production, seabed mobility, suspended sediments, water chemistry and temperature and recruitment define and Conceptual Ecological Modelling of Shallow Sublittoral Mixed Sediment Habitats influence the biological assemblages. In addition, the habitat sediment type plays an important factor in shaping the biology of the habitat. Output processes are variable between functional faunal groups depending on the fauna present. Important processes include secondary production, biodeposition, bioturbation, bioengineering and the supply of propagules. These influence ecosystem functions at the local scale such as nutrient and biogeochemical cycling, supply of food resources, sediment stability, habitat provision and in some cases microbial activity. The export of biodiversity and organic matter, biodiversity enhancement and biotope stability are the resulting ecosystem functions which occur at the regional to global scale. Features within the models which are most useful for monitoring habitat status and change due to natural variation have been identified using the information gathered during the literature review, through interpretation of the models and through the application of expert judgement. Features within the models which may be useful for monitoring to identify anthropogenic causes of change within the ecosystem have also been identified. Physical and biological features of the ecosystem have mostly been identified as potential indicators to monitor natural variation, whilst physical features and output processes have predominantly been identified as most likely to indicate change due to anthropogenic pressures.
机译:这项研究的目的是产生一系列概念生态模型(CEM),这些模型代表了英国浅海沿岸混合沉积物生境。 CEM是生态系统中发生的影响和过程的示意图。它们可用于确定生态系统的关键方面,可将其进一步研究,或作为选择用于环境监测的指标的基础。该项目生成的模型是控制图,表示不受人为压力影响的环境的未受影响状态。该项目的范围包括海洋战略框架指令(MSFD),主要栖息地类型为“浅海沿岸混合沉积物”。此定义包括那些属于EUNIS 4级分类的生境,以及与英国水域相关的5级生物群落,这些分类都属于A5.43滨下混合沉积物和A5.44环周混合沉积物。使用迭代过程确定了要包括在模型范围内的表征动物种类的物种清单,以完善相关5级生物群落中发现的物种的完整清单。进行了文献综述,以收集有关物种特征的证据,并为模型提供信息。在文献回顾期间收集的所有信息都被输入到该报告随附的数据记录备考电子表格中。尽一切可能尝试从英国特定的同行评审研究中收集信息,尽管在必要时使用了其他来源。收集的所有数据均经过详细的置信度评估。利用项目团队的专家判断为模型的各个方面提供了信息,这些信息无法在项目时间范围内获得参考。基于具有相似物种特征的动物群建立了模型层次,这与先前对生态群的敏感性研究相一致。产生了一个一般模型,以表明发生在浅沿海次混合沉积物生境中的高级驱动因素,投入,生物组合,生态系统过程和产出。除此之外,还制作了五个详细的子模型。每个动物都着重于栖息地内特定的功能性动物群:“临时或永久附着的动物群落”,“活动性动物群落,清道夫和掠食者”,“悬浮和沉积喂养的动物群”,“临时或永久附着的表层栖息或浅埋大双壳类动物” ”和“小型活动动物和管类甲壳类动物”。每个子模型都有一个关联的置信度模型,该模型在每个模型组件之间的链接中提供了置信度。这些模型分为七个级别,并通过设计,影响的大小和方向考虑了时空尺度。这七个级别包括区域到全球的驱动程序,水柱过程,海底的本地输入/过程,栖息地和生物集合,输出过程,本地生态系统功能以及区域到全球生态系统功能。这些模型表明,虽然影响每个功能组的高级驱动程序在很大程度上相似,但是生物群执行的输出过程以及由此产生的生态系统功能在组之间的数量和重要性上都不同。总体而言,模型内部的置信度很高,反映出文献回顾期间收集的信息水平。影响生态系统的重要驱动因素包括波浪暴露,深度,水流,气候和繁殖体供应等因素。这些因素与海床和水柱过程(例如初级生产,海床流动性,悬浮沉积物,水化学和温度和募集)结合在一起,定义了浅滩下混合沉积物生境的概念生态模型,影响了生物组合。此外,栖息地的沉积物类型在影响栖息地生物学方面也起着重要的作用。功能性动物群之间的输出过程会有所不同,具体取决于存在的动物群。重要过程包括二次生产,生物沉积,生物扰动,生物工程和繁殖体的供应。这些影响在地方范围内的生态系统功能,例如营养和生物地球化学循环,食物资源的供应,沉积物的稳定性,栖息地的提供,在某些情况下还包括微生物活动。生物多样性和有机物的出口,生物多样性的增强和生物群落的稳定是由此产生的生态系统功能,发生在区域到全球范围内。使用文献综述过程中收集的信息,确定了模型中对监视栖息地状态和自然变化引起的变化最有用的特征,通过模型的解释和专家判断的应用。还确定了模型中可能有助于监测以确定生态系统内人为变化原因的特征。生态系统的物理和生物学特征大部分已被确定为监测自然变化的潜在指标,而物理特征和输出过程已被确定为最有可能表明由于人为压力而发生的变化。

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