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Temperate Reef

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    [This data has been superseded by a synthesised global dataset which includes additional ecological data contributed by non-RLS entities (National Reef Monitoring Network). Please visit the corresponding NRMN Collection (IMOS - National Reef Monitoring Network Sub-Facility - Survey metadata) for the most current version of this data. See "Downloads and Links" section below.] This dataset shows the location of Reef Life Survey (RLS) sites surveyed by divers along 50m transects on shallow rocky and coral reefs, worldwide. Although surveys are undertaken as part of monitoring programs at particular locations (mostly in Australia), this dataset contains only spatial information, with repeat surveys of sites not included. Biological data (abundance of invertebrates and fish, habitat quadrats) collected from these surveys is available as separate datasets through the AODN Data Portal (https://portal.aodn.org.au/ - search for 'NRMN')

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    Out-of-range observations of significant rafts of giant kelp (Macrocystis pyrifera) washing ashore in southern NSW in winter 2020. On 9 August 2020, two local marine naturalists on the south coast of New South Wales, Australia noticed a significant amount of a large unfamiliar kelp washed up on a local beach. Following some quick confirmations via phone and email, it was revealed that the unfamiliar seaweed was giant kelp (Macrocystis pyrifera): a species whose closest known populations are ~450 km away to the south (in Tasmania and western Victoria) and whose transport to New South Wales would have required oceanic rafting over several weeks and hundreds of kilometres against the prevailing south-flowing East Australian Current. Subsequent community-led searches over the following days confirmed four more locations of often-substantial amounts of giant kelp wrack, as well as many more anecdotal and unconfirmed accounts.

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    Kelps are in global decline due to climate change, including ocean warming. To identify vulnerable species, we need to identify their tolerances to increasing temperatures and whether tolerances are altered by co-occurring drivers such as inorganic nutrient levels. This is particularly important for those with restricted distributions, which may already be experiencing thermal stress. To identify thermal tolerance of the range restricted kelp Lessonia corrugata, we conducted a laboratory experiment on juvenile sporophytes to measure performance (growth, photosynthesis) across its thermal range (4 – 22 °C). We found the upper thermal limit for growth and photosynthesis to be ~ 22 – 23 °C, with an optimum of ~ 16 °C. To determine if elevated inorganic nitrogen availability could enhance thermal tolerance, we compared performance of juveniles under low (4.5 µmol/day) and high (90 µmol/day) nitrate conditions at and above the thermal optimum (16 – 23.5 °C). Nitrate enrichment did not enhance thermal performance at temperatures above the optimum but did lead to elevated growth rates at the thermal optimum 16 °C. Our findings indicate L. corrugata is likely to be extremely susceptible to moderate ocean warming and marine heatwaves. Peak sea surface temperatures during summer in eastern and northeastern Tasmania can reach up to 20 – 21 °C and climate projections suggest that L. corrugata’s thermal limit will be regularly exceeded by 2050 as south-eastern Australia is a global ocean-warming hotspot. By identifying the upper thermal limit of L. corrugata we have taken a critical step in predicting the future of the species in a warming climate.

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    Temperature loggers have been deployed at a range of sites statewide in waters ranging between 6 and 22m depth. From 2012, 27 sites around Tasmania are being monitored. This record shows data collected from 2004 up to December 2020. Data is still being collected (April 2023) and will be added to this collection as it becomes available.

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    Mesozooplankton community composition and structure were examined throughout the D’Entrecasteaux Channel, Huon Estuary and North West Bay, Tasmania, from November 2004 to October 2005. The composition of the mesozooplankton community was typical of inshore, temperate marine habitats, with seasonally higher abundance in summer and autumn and lower numbers in winter and spring. Copepods were the largest contributors to total abundance across all seasons and stations, while cladocerans and appendicularians were proportionally abundant in spring and summer. The faecal pellets of these three main groups, along with those of krill and amphipods, also contributed significantly to material recovered from sediment traps. Meroplanktonic larvae of benthic animals showed short-term peaks in abundance and were often absent from the water column for long periods. Spatially, North West Bay and the Channel had a higher representation of typically marine species, including Calanus australis and Labidocera cervi, while truly estuarine species, such as the copepod Gladioferens pectinatus, were more important in the Huon Estuary.

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    Mesozooplankton community composition and structure were examined throughout the D’Entrecasteaux Channel, Huon Estuary and North West Bay, Tasmania, from November 2004 to October 2005, the data represented by this record was collected on the 06/09/2005. The composition of the mesozooplankton community was typical of inshore, temperate marine habitats, with seasonally higher abundance in summer and autumn and lower numbers in winter and spring. Copepods were the largest contributors to total abundance across all seasons and stations, while cladocerans and appendicularians were proportionally abundant in spring and summer. The faecal pellets of these three main groups, along with those of krill and amphipods, also contributed significantly to material recovered from sediment traps. Meroplanktonic larvae of benthic animals showed short-term peaks in abundance and were often absent from the water column for long periods. Spatially, North West Bay and the Channel had a higher representation of typically marine species, including Calanus australis and Labidocera cervi, while truly estuarine species, such as the copepod Gladioferens pectinatus, were more important in the Huon Estuary.

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    A comprehensive and detailed multibeam sonar-based map of the shelf-break region of the Central Flinders Commonwealth Marine Reserve (CMR). It illustrates the extent that several canyon-head incisions are present in this region, and that inset from the shelf-break is a relatively extensive area of cross-shelf reef. Some of the canyon-head incisions are characterised by exposed reef areas, and these are indicated by localised regions of rapid change in depth. The cross-shelf reef is generally very low profile, but characterised by distinct reef ledges where bedding planes in the sedimentary rock types have eroded. These ledges, often between 1-2 m in height, can run for several kilometres as distinct features. The method of data extraction is based on Lucieer (2013). Three are three classes of seafloor map- one from GEOBIA, one from digitisation and one from Probability of Hardness based on Angular Profile Correction. Lucieer, V (2013) NERP broad-scale analysis of multibeam acoustic data from the Flinders Commonwealth Marine Reserve, Prepared for the National Environmental Research Program. Internal report. IMAS, Hobart, TAS [Contract Report]

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    Rocky reefs form an important habitat on the continental shelf and one subject to disproportionate fishing pressure given the high productivity of this habitat relative to adjacent sandy seabed. Despite this, little is known of the extent and nature of these systems beyond their value to the fishing industry. This project collated all known mapping data from government and industry (including data acquired during CERF and NERP Hubs) to provide an updated map of this key habitat around Australia. A geomorphological classification system is also being developed for these reefs, and associated cross-shelf habitats with the aim of it being accepted and adopted nationally, and it is being tested and refined for biological applicability. This record describes the national habitat map data product generated from multiple datasets collated as part of NESP MBH Project D3. The individual habitat mapping datasets collected as part of the data collation process have also been published and are linked to this record.

  • 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 accessed from TemperateReefBase in order to track which version of the data you are using. 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.

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    Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project were classified into various seafloor cover types according to their hardness, rugosity and depth. The classifications were validated with towed video ground truth where it was available. This dataset describes two AOIs which are explicitly part of the Ningaloo Outlook Deep Reefs project. Substratum classifications were applied using multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. See original metadata record(s) and associated attached documents for accuracy estimates, alternate classification techniques, and additional surveyed areas. https://doi.org/10.25919/kssa-5b46 https://doi.org/10.25919/kttc-x397 https://doi.org/10.25919/8m65-7k26