NSW Fish Community Status NSW DPI Fisheries 20150305

## **Abstract** \n\nThis data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied:\n\n\n\nThe 2015 status of fish species at each river reach across NSW. Fish community data was collected from three years of biological surveys across NSW. Within the framework of the Australian Hydrological Geospatial Fabric V2 surface hydrology network, this was combined with attributes from the National Environmental Stream Attributes Database and River Styles® geomorphology. Generalised Additive Modelling (GAM) was used to predict a fish community status for each river reach.\n\nThe methods used to create the NSW Fish Community Status 2015 are described fully in: NSW Department of Primary Industries (2015), NSW Fish Community Status 2015 - Final Report.\n\n## **Purpose** \n\nThe dataset has a number of primary functions including but not limited to;\n\n\\* spatially representing the status of fish communities at river reach scale across NSW\n\n\\* providing additional support to strategic planning frameworks to ensure they effectively integrate biodiversity considerations into planning and decision making processes\n\n## **Dataset History** \n\nThis data and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied:\n\n\n\nFish community data was collected from three years of biological surveys across NSW. Within the framework of the Australian Hydrological Geospatial Fabric V2 surface hydrology network, this was combined with attributes from the National Environmental Stream Attributes Database and River Styles®geomorphology.Generalised Additive Modelling (GAM) was used to predict a fish community status for each river reach.For the majority of estuarine river reaches the fish community values were derived from Roper T, Creese B, Scanes P, Stephens K, Williams R, Dela-Cruz J, Coade G, Coates B & Fraser M 2011, Assessing the condition of estuaries and coastal lake ecosystems in NSW, Monitoring, evaluation and reporting program, Technical report series, Office of Environment and Heritage, Sydney. The fish metrics were very similar but values were for the whole estuary, not river reach.\n\n\n\nFish community data was collected from 646 sampling locations within the South-East Coast, Murray-Darling Basin, Bulloo and Lake Eyre Basin drainage divisions of NSW collected between January 2009 and December 2011. Sampling was based on a standardised Sustainable Rivers Audit (SRA) electrofishing and bait-trap protocol. The overall Fish Community Status was derived from three condition indicators - expectedness, nativeness and recruitment.The index was then partitioned into five equal bands to rate the condition of the fish community; "Very Good", "Good", "Moderate", "Poor", or "Very Poor".\n\n\n\nThe Expectedness Indicator represents the proportion of native species that are now found within NSW, compared to that which was historically present. The Expectedness Indicator is derived from two input metrics; the observed native species richness over the expected species richness at each site, and the total native species richness observed within the zone over the total number of species predicted to have existed within the zone historically. \n\n\n\nThe Nativeness Indicator represents the proportion of native versus alien fishes within the river. The Nativeness Indicator is derived from three input metrics; proportion native biomass, proportion native abundance and proportion native species.\n\n\n\nThe Recruitment Indicator represents the recent reproductive activity of the native fish community within each altitude zone. The Recruitment Indicator is derived from three input metrics; the proportion of native species showing evidence of recruitment at a minimum of one site within a zone, the average proportion of sites within a zone at which each species captured was recruiting, and the average proportion of total abundance of each species that are new recruits.\n\n\n\nThe Australian Hydrological Geospatial Fabric V2 surface hydrology network (Geofabric) is a fully connected and directed stream network based a 9 second DEM. It allocates a unique stream segment number to each river reach in Australia. The Environmental Attributes Database is a set of lookup tables supplying attributes describing the natural and anthropogenic characteristics of the stream and catchment environment that was developed by the Australian National University (ANU) in 2011 and updated in 2012. The data is supplied as part of the supplementary Geofabric products which is associated with the 9 second DEM derived streams and the National Catchment Boundaries based on 250k scale stream network. 30 Stream variables were assessed for the modelling.\n\n\n\nRiver Styles®provides a high resolution categorical classification of river character within a nested hierarchy of criteria based on valley setting, channel planform, geomorphic units, and bed material. The NSW Office of Water compiled a spatial dataset of River Styles®classifications for a large number of the waterways of NSW. From 65 River Style®categories we generated two new fields representing Planform (34 categories) and Substratum (8 categories) for each stream segment. River Style®planform and substratum categories were then assigned to each Geofabric segment.\n\n\n\nGeneralised Additive Modelling (GAM) analysis was used to model relationships between the fish assemblage metrics/indicators/index with the environmental and River Style®attributes of stream segments. Only stream segments with a modelled average daily flow of more than five megalitres were selected for output. The predicted values for each river reach were converted from the Geofabric framework to the higher resolution 2013 NSW Strahler Stream Order Hydroline.\n\n\n\nUse limitations\n\n\n\nThe information contained in this publication is based on knowledge and understanding at the time of writing (February 2015). However, because of advances in knowledge, users are reminded of the need to ensure that the information upon which they rely is up to date and to check the currency of the information with the appropriate officer of the Department of Trade and Investment, Regional Infrastructure and Services or the user's independent adviser. Recognising that some of the information in this document is provided by third parties, the State of New South Wales, the author and the publisher take no responsibility for the accuracy, currency, reliability or correctness of any information included in the document provided by third parties.\n\n## **Dataset Citation** \n\nNSW Department of Primary Industries (2015) NSW Fish Community Status NSW DPI Fisheries 20150305. Bioregional Assessment Source Dataset. Viewed 12 July 2018, http://data.bioregionalassessments.gov.au/dataset/4332044c-059f-4059-bb7f-741147922243.**摘要** 本数据集及其元数据声明由第三方提供给生物区域评估计划（Bioregional Assessment Programme），本文档原样呈现其原始提交内容。 本数据集涵盖新南威尔士州（NSW）各河段2015年鱼类物种状态。鱼类群落数据来源于新南威尔士州境内为期三年的生物调查。在澳大利亚水文地理空间框架V2（Australian Hydrological Geospatial Fabric V2）地表水网络框架下，本数据集结合了国家河流属性数据库（National Environmental Stream Attributes Database）与河流样式®（River Styles®）地貌学的相关属性。研究采用广义加性模型（Generalised Additive Modelling, GAM）对每个河段的鱼类群落状态进行预测。 2015年新南威尔士州鱼类群落状态数据集的构建方法详见：新南威尔士州 primary产业部（NSW Department of Primary Industries）（2015）《2015年新南威尔士州鱼类群落状态——最终报告》。 **目的** 本数据集具备多项核心功能，包括但不限于： · 空间呈现新南威尔士州各河段尺度下的鱼类群落状态； · 为战略规划框架提供额外支撑，确保其在规划与决策流程中有效融入生物多样性考量因素。 **数据集历史** 本数据集及其元数据声明由第三方提供给生物区域评估计划（Bioregional Assessment Programme），本文档原样呈现其原始提交内容。 鱼类群落数据来源于新南威尔士州境内为期三年的生物调查。在澳大利亚水文地理空间框架V2（Australian Hydrological Geospatial Fabric V2）地表水网络框架下，本数据集结合了国家河流属性数据库（National Environmental Stream Attributes Database）与河流样式®（River Styles®）地貌学的相关属性。研究采用广义加性模型（GAM）对每个河段的鱼类群落状态进行预测。针对绝大多数河口河段，鱼类群落数值来源于以下文献：Roper T、Creese B、Scanes P、Stephens K、Williams R、Dela-Cruz J、Coade G、Coates B及Fraser M于2011年发表的《评估新南威尔士州河口与沿海湖泊生态系统状态》，该文献属于监测、评估与报告项目技术报告系列，由悉尼环境与遗产办公室发布。本次研究的鱼类指标与该文献高度相似，但文献中的数值针对完整河口，而非单个河段。 鱼类群落数据采集自新南威尔士州东南海岸、墨累-达令盆地、布尔洛流域与艾尔湖流域排水分区内的646个采样点，采样时间为2009年1月至2011年12月。采样采用标准化的可持续河流审计（Sustainable Rivers Audit, SRA）电捕鱼与诱饵诱捕方案。整体鱼类群落状态由三项状态指标推导而来：预期性、本土性与补充性。随后该指数被划分为五个均等区间，用于评定鱼类群落状态等级：极佳、良好、中等、较差与极差。 预期性指标（Expectedness Indicator）指当前新南威尔士州境内发现的本土物种占历史上曾存在的本土物种的比例。该指标由两项输入指标推导而来：① 各采样点观测到的本土物种丰富度与预期物种丰富度的比值；② 区域内观测到的本土物种总丰富度与历史上预测存在于该区域的物种总数的比值。 本土性指标（Nativeness Indicator）指河流内本土鱼类与外来鱼类的占比。该指标由三项输入指标推导而来：本土生物量占比、本土个体数占比与本土物种占比。 补充性指标（Recruitment Indicator）指各海拔分区内本土鱼类群落近期的繁殖活动情况。该指标由三项输入指标推导而来：① 某区域内至少有一个采样点显示存在种群补充现象的本土物种占比；② 区域内各捕获物种存在种群补充现象的采样点平均占比；③ 各物种总个体数中新增幼体占比的平均值。 澳大利亚水文地理空间框架V2地表水网络（Geofabric）是基于9秒分辨率数字高程模型（DEM）构建的全连通有向河流网络，为澳大利亚境内的每个河段分配唯一的河段编号。国家河流属性数据库（National Environmental Stream Attributes Database）是一系列查找表，用于描述河流与集水区环境的自然及人为特征，该数据库由澳大利亚国立大学（Australian National University, ANU）于2011年开发并于2012年更新。本数据集作为配套Geofabric产品的一部分提供，该配套产品与基于9秒分辨率DEM生成的河流网络以及基于25万比例尺河流网络的国家集水区边界相关联。建模过程中共评估了30项河流变量。 河流样式®（River Styles®）基于河谷形态、河道平面形态、地貌单元与河床物质的嵌套层级标准，对河流特征进行高分辨率分类。新南威尔士州水务局（NSW Office of Water）为新南威尔士州大量水道编制了河流样式®分类空间数据集。研究从65项河流样式®分类中为每个河段生成了两个新字段，分别代表平面形态（共34个分类）与河床基质（共8个分类）。随后将河流样式®的平面形态与河床基质分类分配至每个Geofabric河段。 研究采用广义加性模型（GAM）分析，构建鱼类集合指标与指数以及河段环境属性及河流样式®属性之间的关系模型。仅选取模拟日均流量超过5兆升的河段用于成果输出。将每个河段的预测值从Geofabric框架转换为更高分辨率的2013年新南威尔士州斯特拉勒河流等级（Strahler Stream Order）水文线。 **使用限制** 本出版物所载信息基于2015年2月撰写时的认知与理解水平。然而，由于相关知识不断更新，提醒用户务必确保其所依赖的信息为最新版本，并可向贸易与投资部、区域基础设施与服务部的相关负责人或用户的独立顾问核实信息的时效性。鉴于本文档部分信息由第三方提供，新南威尔士州、作者与出版方不对第三方提供的任何信息的准确性、时效性、可靠性或正确性承担责任。 **数据集引用** 新南威尔士州 primary产业部（NSW Department of Primary Industries）（2015）《2015年新南威尔士州鱼类群落状态》，新南威尔士州 primary产业部渔业局，20150305。生物区域评估源数据集。2018年7月12日查阅，http://data.bioregionalassessments.gov.au/dataset/4332044c-059f-4059-bb7f-741147922243。