5 research outputs found

    Light thresholds for seagrasses of the GBRWHA: a synthesis and guiding document. Including knowledge gaps and future priorities

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    [Extract] This synthesis contains light thresholds for seagrass species in the Great Barrier Reef World Heritage Area (GBRWHA). The thresholds can be applied to ensure protection of seagrasses from activities that impact water quality and the light environment over the short-term, such as coastal and port developments. Thresholds for long-term maintenance of seagrasses are also proposed

    Ecologically relevant targets for pollutant discharge from the drainage basins of the Fitzroy Region, Great Barrier Reef

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    [Extract] Ecologically relevant targets (ERTs) attempt to define the pollutant load reductions that would be required to meet the Great Barrier Reef (GBR) Water Quality Guidelines, which are set at a standard considered to be suitable to maintain ecosystem health. Thus ERTs are required to be met to achieve the overall long-term Reef Plan goal “To ensure that by 2020 the quality of water entering the reef from broadscale land use has no detrimental effect on the reef’s health and resilience”....The methods for deriving the ERTs vary between the pollutants. These are summarised....and described in detail in the body of this report

    Monitoring Seagrass within the Reef 2050 Integrated Monitoring and Reporting Program: final report of the Seagrass Expert Group

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    Seagrass is widely distributed throughout the Great Barrier Reef (the Reef), with a documented 35,000 square kilometres and a potential habitat area of 228,300 square kilometres. Seagrass meadows occur in many different environmental conditions, both within and beyond the impact of flood plumes, and are common in areas of high anthropogenic activity, such as ports and areas adjacent to urban centres. Many processes and services that maintain the exceptional values of the Reef occur in seagrass meadows. To provide the services that support these values seagrass habitats include a range of species, growth forms and benthic landscapes, that respond to pressures in different ways. In many cases seagrasses also modify their environments to improve environmental conditions on the Reef. Seagrasses vary spatially and temporally in their distribution and abundance across the Reef, occurring in different water quality types (estuaries, coastal, reefal and offshore) and at different water depths (intertidal, shallow subtidal, deep water). The diversity of potential seagrass habitats is one reason they support so many of the environmental services and values of the Great Barrier Reef World Heritage Area (World Heritage Area), including: habitat for crabs, prawns and fish –– supporting recreational and commercial fishing; primary food resource for species of conservation significance (dugong, green turtles, migratory shore birds); shoreline stabilisation by binding sediment to slow erosion; water clarity improvement, by promoting the settlement of fine particulate matter; and providing a natural carbon sink. To deliver the seagrass components of the knowledge system required to deliver Reef 2050 Long-Term Sustainability Plan (Reef 2050 Plan) reporting and other management activities, there will need to be modifications and enhancements made to the current seagrass monitoring programs. The Drivers, Pressures, State, Impact, Response (DPSIR) framework was used to facilitate the identification of linkages between the pressures on seagrass, state of the seagrass, the impact a decline in seagrass would have on community values, and the responses management agencies can take to mitigate loss of values. We have also defined twelve seagrass habitat types that occur on the Reef, identified by a matrix of water body type and water depth. The seagrasses occurring in each habitat are exposed to different pressures and require different management actions (responses) to protect and enhance the values of the community and Reef ecosystems. The proposed monitoring program has three spatial and temporal scales, with each scale providing different information (knowledge) to support resilience-based management of the Reef. 1. Habitat assessment: will occur across the Reef at all sites where seagrass has a potential of occurring. It will determine seagrass abundance, species composition and spatial extent of each habitat type within the World Heritage Area. This scale will be focused on supporting future outlook reports, but will also provide information for operational and strategic management and contribute towards other reports. 2. Health assessment: will take place at representative regional sites, for each habitat type. These sites will provide managers with annual and seasonal trends in seagrass condition and resilience at a regional scale for each habitat. This scale will provide higher temporal detail (i.e. at least annually) of seagrass condition and resilience, supporting tactical, operational and strategic management applications. This scale will provide the majority of information for regional/catchment report cards and the assessment of management effectiveness at a catchment wide scale. It will also contribute important trends in condition and resilience to Outlook reports and other communication products with more frequent reporting. 3. Process monitoring: will take place at the fewest number of sites, nested within habitat and health assessment sites. Due to the time-consuming and complex nature of these measurements the sampling sites will be chosen to focus on priority knowledge gaps. This scale will provide managers with information on cause-and-effect relationships and linkages between different aspects of the Reef’s processes and ecosystems. This scale will include measures of seagrass resilience (for example, feedback loops, recovery time after disturbance, history of disturbance and thresholds for exposure to pressures). The attributes measured at these sites will also provide confidence to managers regarding the impact a change in seagrass condition is likely to have on other values of the Reef (for example, fish, megafauna, coral, Indigenous heritage, and human dimensions). To ensure that future seagrass monitoring delivers the information required to report on the Reef 2050 Plan and meets the other knowledge requirements of managers, a spatially balanced random sampling design needs to be implemented on the Reef. Existing monitoring programs can and should be integrated into this design. However, current seagrass monitoring programs do not provide a balanced assessment of seagrass condition across the entire Reef, hence are not suitable to meet the Reef 2050 Plan reporting requirements and many other management information needs. Existing sites within current monitoring are focused on habitat types that are intertidal and shallow sub-tidal and lie close to the coast. These habitats have been previously selected because they face high levels of cumulative anthropogenic risk and therefore have higher levels of management demand for information. The current sites are likely to decline more rapidly, in response to catchment run-off and other anthropogenic pressures, than the average for seagrass meadows across the entire Reef. They also have a greater potential to show improvements from Reef catchment management actions that reduce pollution associated with run-off. This report sets out the framework for a recommended new seagrass monitoring program, highlighting the substantial improvements in knowledge and confidence this new program will deliver, and provides a scope for the statistical design work required to support implementation of this program

    Monitoring the marine physical and chemical environment within the Reef 2050 Integrated Monitoring and Reporting Program: final Report of the Marine Physical and Chemical Environment Expert Group

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    [Extract] The objectives of the marine physico-chemical environment expert group include: Review of existing indicators of water quality and an assessment of their adequacy and ability to clearly resolve anticipated changes in reef water quality; o provide sufficient context to aid in the interpretation of ecological responses associated with changes in water quality; Identify alternative indicators where review suggests existing indicators are inadequate; Review and evaluate existing water quality monitoring programs and other sources of water quality information (e.g. marine modelling, satellite remote sensing) and existing and emerging technologies, as candidates for inclusion in future Reef monitoring to inform identified selected priority indicators; A gap analysis of information requirements for physico-chemical parameters as part of various reporting obligations; Recommendations for an observational strategy and sampling approach for Marine physico-chemical variables to inform selected priority indicators under RIMReP. This will include defining data needs of marine modelling activities if those activities are to underpin parts of RIMReP; Recommendations for the development of data aggregation techniques and reporting products as informed by the RIMReP process and through existing complementary projects.An accessible copy of this report is not yet available from this repository, please contact [email protected] for more information

    An evidence-based approach for setting desired state in a complex Great Barrier Reef seagrass ecosystem: a case study from Cleveland Bay

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    Implementing management actions to achieve environmental outcomes requires defining and quantifying ecological targets, but this is a complex challenge, and there are few examples of how to quantitatively set them in complex dynamic marine ecosystems. Here we develop a methodology to devise ‘desired state’ for tropical seagrasses in Cleveland Bay, northern Australia, in the Great Barrier Reef World Heritage Area. Analysis of diverse species assemblages was used to define seagrass communities as indicators of the region’s ecological value. Multivariate regression trees assigned 8000 observations of species presence/absence and habitat characteristics from 2007 to 2017 into seven community types. Generalised Linear Models were used to assess annual variation in above-ground biomass of each seagrass community. Reference subsets of the data expressing high biomass and spatial extent were identified, and desired state was defined as the mean and 95% confidence intervals. This approach rests on the assumption that seagrass resilience and its ecosystem services are met when the diverse seagrass communities reach desired state. This method required a data set that spanned a range in seagrass conditions, but which may have been compromised by a history of pressures. Our method for defining desired state provides evidence-based targets that can be used within an adaptive management framework that prioritises and implements management actions
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