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2018

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    Observational data for the Kelp Ecosystem Ecology Network. These data come from transects of rocky reefs taken around the world using the KEEN observational data protocol (see http://kelpecosystems.org for full description of methods and handbook). See “How” for methods. Briefly, the observational data consists of the following components, all included here: site information, fish observations, quadrat sampling, band transect sampling, percent cover from uniform point counts, and kelp morphometrics. Data Files Data files included and what they contain are as follows: keen_sites.csv - Physical and locational data for all KEEN sites and transect. keen_cover.csv - Percent cover of sessile algae and invertebrates. keen_fish.csv - Counts of fish by size class along a transect. keen_quads.csv - Counts of common algae, sessile invertebrates, and demersal fish that can be individuated. keen_swath.csv - Counts of rarer algae, sessile invertebrates, and demersal fish that can be individuated. Data Use To use the observational data here for published work we ask that 1) You contact the network coordinator, jarrett.byrnes@umb.edu, and notify them of your intention so that we can coordinate among any ongoing projects using the same data, 2) if the data has not been used in a publication in the literature before, we request that you reach out to the PIs responsible for the data you will be using and engage in a conversation about co-authorship, 3) if it has been used previously, merely cite the datasets associated with each PI that you use. The references are listed below. For access to the entire data cleaning and processing pipeline, see https://github.com/kelpecosystems/observational_data. For access to scans of the original data sheets, contact jarrett.byrnes@umb.edu. ------------------------------------------------------ For general methods: Byrnes, Jarrett E.K., Haupt, Alison J., Reed, Daniel C., Wernberg, Thomas., Pérez-Matus, Alejandro., Shears, Nick T., Konar, Brenda, Gagnon, Pat, and Vergés, Adriana. 2014. Kelp Ecosystem Ecology Network Monitoring Handbook. Kelp Ecosystem Ecology Network. For specific data sets, use the following, but also include date the data is accessed from this record in order to track the data version used. Byrnes, Jarrett E.K., Haupt, Alison J., Lyman, Ted. 2014. Kelp forest communities at Appledore Island, the Boston Harbor Islands, and Salem Sound. Kelp Ecosystem Ecology Network. Dijkstra, Jennifer A., Mello, Kristen. 2015. Kelp forest communities at York, Maine. Kelp Ecosystem Ecology Network. Grabwoski, Jonathan and MacMahan, Marissa. 2015. Kelp forest communities in Nahant, Massachusetts, and Pemaquid, Maine. Kelp Ecosystem Ecology Network. Humphries Austin T., Paight C, Ben-Horin Tal, Green Lindsay, Thornber, Carol. 2016. Kelp forest communities in Narragansett Bay, Rhode Island. Kelp Ecosystem Ecology Network. Rasher, Douglass and Price, Nicole. 2017. Kelp forest communities of central and downeast Maine. Kelp Ecosystem Ecology Network. Peréz-Matus, Alejandro and Shaughnessy, Brianna. 2017. Kelp forest communities of central and northern Chile. Kelp Ecosystem Ecology Network.

  • The CSIRO’s Oceans & Atmosphere Shallow Survey Internal Facility (SSIF) was contracted by the Institute for Marine and Antarctic Studies (IMAS) of the University of Tasmania (UTAS) in collaboration with Parks Australia, to undertake a hydrographic survey of the Boags Commonwealth Marine Reserve in the southwestern Bass Strait. This site was surveyed in conjunction with other smaller sites for Petuna Aquaculture, as part of a broader survey campaign. All of the sites covered in this campaign are located in the vicinity of the Hunter Group of Islands, off the north-western coast of Tasmania.

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    Biologically relevant macronutrients, nitrate + nitrite, silicate, phosphate and ammonia, were measured at all sites throughout the study. Nitrate + nitrite values (NOx) at the surface showed clear seasonal trends, peaking over winter and drawing down to near zero in summer and autumn. Phosphate concentrations also reached a peak in winter, which was associated with Southern Ocean influence. Median ammonium concentrations at all sites were generally <0.5 μM, with no clear peaks in any season or month. Overall, the lowest values were measured in August and other months showed reasonable spread around the median. Median silicate concentrations were consistently highest at sites 1 and 9, followed by site 5. Water from the River Derwent flows through site 1, then tracks east towards site 9 then site 5. Seasonally, silicate was generally highest in winter when the River Derwent outflow is also greatest.

  • White sharks are listed as vulnerable under the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 and actions to assist their recovery and long-term viability are prescribed in a national recovery plan for the species. A priority action is to develop an effective means of estimating the size of white shark populations and monitor their status (population trend). This would provide a scientific basis for assessing recovery actions, and for local policies governing human-shark interactions: an issue of significant public concern. NESP Project A3 provides a national assessment of the southern-western adult white shark population abundance and an update of the total eastern Australasian white shark population abundance and status in order to establish the efficacy of existing recovery actions and provide a scientifically sound and rational basis from which to inform policies that aim to balance conservation objectives and public safety. This record describes the individual DNA sequencing of over 500 animals for CK-MR analyses of SA/WA population tissue samples.

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    This data describes the characterisation and estimated concentration of marine plastics in waters around Australia from surface net tows. The marine plastics recorded were predominantly small fragments (‘‘microplastics’’) resulting from the breakdown of larger objects made of polyethylene and polypropylene (e.g. packaging and fishing items). This data accompanies the following publication: Reisser J, Shaw J, Wilcox C, Hardesty BD, Proietti M, et al. (2013) Marine Plastic Pollution in Waters around Australia: Characteristics, Concentrations, and Pathways. PLoS ONE 8(11): e80466. doi:10.1371/journal.pone.0080466

  • This record provides an overview of the scope of the NESP Marine Biodiversity Hub project "The role of restoration in conserving Matters of National Environmental Significance (MNES)". No data outputs were generated by project. -------------------- This research will assess the capacity of habitat restoration to insulate against loss and degradation of MNES, through restoration key habitats and the species they support. In general, restoration techniques in marine ecosystems have been seen as embryonic and cost-prohibitive. But the risk of decline in key habitats and their potential loss through the cumulative impacts of climate change and local pressures makes the imperative for more effective and efficient techniques urgent. In several habitats, recent advances in technology suggest marked improvement in efficacy and cost-effectiveness. This project will review and assess the capacity of active restoration to secure conservation outcomes for MNES across four habitats: giant kelp forests, seagrass communities, saltmarsh communities, and shellfish communities. Planned Outputs • Report: Review – the role of restoration in conserving matters of national environmental significance • Report: Workshop outcomes - The cost-effectiveness of alternative restoration projects

  • NOTE THIS IS AN ARCHIVED VERSION OF THE GLOBAL FISHERIES LANDING DATA. The current version of the data is available from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/5c4590d3-a45a-4d37-bf8b-ecd145cb356d and should be used for all future analyses from 16/01/2019. For any questions about version changes to this dataset, please contact the Point of Contact nominated in this record. Global fisheries landings supplied by a number of agencies (FAO/UN, CCAMLR, NAFO, ICES etc) are mapped to 30-min spatial cells based on the range/gradient of the reported taxon, the spatial access of the reporting country's fleets, and the original reporting area. This data is separated to industrial and non-industrial fishing and associated with types of fishing gears. Estimates of illegal, unreported and unallocated landings are included as are estimates of the weight of fisheries products discarded at sea. For appropriate records, spatial information from tuna regional management organisations and satellite-based vessel Automatic Identification System (AIS) were used to allow greater precision. Mapping the source of fisheries capture allows investigation of the impacts of fishing and the vulnerability of fishing (with its associate food security implications) to climate change impacts.

  • This record provides an overview of the scope and research data outputs of the NESP Marine Biodiversity Hub project "Recreational fishing in Commonwealth waters". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Recent assessment have suggested that Australian marine recreational fishers (MRF) are moving further offshore in pursuit of fishing opportunities, which places them in areas managed by the Australian Government. As recreational fishers are key stakeholders in marine management, of MRF effort, catch, motivations and values are required to effectively inform administration of Australian Marine Parks (AMPs) and fisheries. In 2018 the use of exiting MRF state-wide assessment was trialled in WA and NSW to quantify fishing within the Hunter and Ningaloo AMPs. In 2019 this work will be extended to analyse state charter-boat MRF datasets with a particular emphasis on our selected AMPs and the Perth Canyon AMP. Planned Outputs • State of knowledge and gap analysis of recreational fishing in Commonwealth waters (spatial data) • On ground motivation and targets by active fishers of AMP [report]

  • Water level heights were measured every 5 minutes at five station locations in the 70km length Tamar estuary, Tasmania, for six months. Pressure loggers deployed in the water recorded total pressure and the inverse barometer effect was accounted for by two additional pressure loggers deployed above ground within 15km of a station. The data include barometric pressure, water temperature, and water level relative to Australian Height Datum (AHD83). The data captures tidal amplification and asymmetry between ebb and flood tides in the estuary for the purpose of a research project completed in 2018 by Karen Palmer. Based on the Tamar estuary model created for NRM North by BMT WBM Pty Ltd using TUFLOW FV (with permission), a new hydrodynamic model was created and calibrated with observed water levels. Different scenarios of sea level rise and bathymetry change were then simulated to model the effects on tidal amplitude and phase.

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    This dataset comes from the Floating Forests project (https://floatingforests.org). Floating Forests is an online citizen science project attempting to map the cover of surface-canopy forming kelps, primarily the giant kelp Macrocystis pyrifera, using Landsat data. To acquire the data, citizen scientists were given tiles of images taken from the Landsat series of satellites (https://landsat.usgs.gov/) scenes that had been manipulated to make kelp more visible. Landsat has a roughly two week repeat time for the entire globe and a 30m resolution, although given variability in weather quarterly aggregation is recommended. Each image was scene at minimum four times. If no kelp was noted, then it was retired and scored as a zero. If kelp was noted in the first four classifications, then an individual image was shown to fifteen people total. The polygons of kelp beds presented here represent consensus classifications from the platform and are tagged with minimum number of users who classified pixels in the polygons as kelp. For example, at the five user threshold, each area represents pixels where at least five users - not necessarily the same five users - said there was kelp present. This consensus classification has been shown to match very closely to expert classifications. For more information and links to outputs, see https://blog.floatingforests.org in addition to the main project site. Or go to the main project site, and start a conversation in the "talk" section of the site.