Parks Australia - Our Marine Parks Grants Round 2 Project: Nearshore marine habitat mapping of the Norfolk Marine Park (Grant Activity ID: 4-FIZ391E) The Norfolk Marine Park is the is the eastern-most Park in the Temperate East Network of Australian Marine Parks, located between the NSW coast and Norfolk Island. The Park encompasses 188,444 km² of ocean and ranges in depth from 0 m at the Norfolk Island high tide mark to more than 5,00 m off the edge of the Norfolk Ridge. The Park includes two key ecological features – the Norfolk Ridge, and the Tasman Front and associated eddy field – both of which are valued for their high productivity, aggregations of marine life, biodiversity, and endemism. Norfolk Marine Park supports a range of species, including those listed as threatened under the Environment Protection and Biodiversity Conservation (EPBC) Act (1999), and contains Biologically Important Areas for breeding, foraging, and migration of seabirds, marine turtles, and humpback whales. The objective of this project was to create the first marine habitat map for the nearshore shallow water surrounding Norfolk, Nepean, and Phillip Islands. This was conducted in collaboration with Norfolk residents to provide local knowledge input and to ground-truth the remotely-sensed habitat mapping. This high-level habitat map will be used for planning purposes, development applications, and EPBC Act referrals within the nearshore waters of the Norfolk Marine Park, where no specific zoning for recreational and commercial activities currently exists. The map provides a basis for any ongoing citizen-science-driven marine habitat impact and condition assessments, ecosystem monitoring, and to provide the Norfolk Island residents with ownership of any future zoning planning. The map can be further refined as more detailed information becomes available from subject matter experts in the future.

Locations of the Oysters Tasmania's Sensor Network. The sensor network provides real-time data on salinity, water temperature, and depth in shellfish growing areas in Tasmania. Oyster growers can access the sensor data via the ‘ShellPOINT’ portal (https://www.oysterstasmania.org/shellpoint.html).

This dataset depicts the location of the Broadscale Environmental Monitoring Program (BEMP) sites. It was compiled from data provided by EPA Tasmania, IMAS and published reports. BEMP was initiated in 2009 by the State Government to provide knowledge and information on ecosystem function in the D’Entrecasteaux Channel and Huon Estuary. BEMPs have been developed for all marine farming regions. The objective of each program is to document (on an ongoing basis) broadscale spatial and temporal trends for key environmental parameters, allowing assessment of the environmental effects of finfish aquaculture in Tasmania. Marine farming licence conditions include participation in respective BEMPs. The BEMP program initially covered assessment of water column and sediment health at a broadscale level but has been expanded to include inshore reef, deep-reef and seagrass distribution and health. Seagrass monitoring occurs over transects. In this dataset, only the start location is displayed. Sediment sampling includes benthic infauna, stable isotopes, particle size, visual assessment, redox analysis, and sulphide measurements. Visual assessment, redox and sulphide analysis is carried out each year, while analysis of benthic infauna, stable isotopes and particle size is undertaken every four years. In the intervening years these samples are collected, preserved and retained. Water quality analytes include physico-chemical parameters (temperature, dissolved oxygen and salinity), nutrients (dissolved nutrients: ammonia, nitrate, phosphate, and silicate, nutrients: total nitrogen, total phosphorous), chlorophyll a and phytoplankton species counts. Water quality sampling is undertaken monthly from May to January and fortnightly from February to April.

This dataset contains the general location of five restoration projects around Tasmania: Angasi oyster (Ostrea andasi), Giant Kelp (Macrocystis pyrifira), seagrass habitat (using Environmentally Friendly Moorings), saltmarsh fish habitat, and wetland restoration. The locations don't present the exact restoration sites.

We hypothesised that New Zealand sea lions from Campbell Island/Motu Ihupuku of various sex and age classes would utilise the water column differently due to differing physiological constraints and therefore have different accessibility to prey resources. We tested whether sea lion diving behaviour varied in relation to (i) age and sex class, (ii) time of day and (iii) water depth. We also hypothesized that the proportion of benthic/pelagic diving, and consequently risk of fisheries interaction, would vary in relation to age and sex. Satellite telemetry tags were deployed on 25 NZSL from a range of age/sex classes recording dive depth, duration and location. Adult females and juveniles used inshore, benthic habitats, while sub-adult males also utilised benthic habitats, they predominantly used pelagic habitat at greater distances from the island. Adult females and juveniles exhibited shorter dives than the same age/sex classes at the Auckland Islands, suggesting a lower dive effort for these age/sex classes at Campbell Island.

At the inception of our project, no study had examined particle fluxes in the Subantarctic Zone (SAZ) of the Southern Ocean, despite the fact that the SAZ represents a large portion of the total area of the Southern Ocean, serve as a strong sink for atmospheric (~1G t C yr-1 [Metzl et al., 1999]), and is central to hypotheses linking particle fluxes and climate change [Francois et al., 1997; Kumar et al., 1995; Sigman et al., 1999]. The SAZ serves as an interface between the cold nutrient-rich waters to its south and the nutrient-depleted subtropical gyres to its north. SAZ upper layers are marked by a thick layer of relatively homogenous Subantarctic Mode Water (SAMW), which overlies Antarctic Intermediate Water (AAIW). Both water masses are subducted northward beneath the subtropical gyres. Thus particles leaving the surface in these regions contribute to carbon redistribution via both the fraction that reaches the deep sea by settling and the fraction that is remineralized within SAMW or AAIW and subsequently subducted. The SAZ exhibits surface water carbon dioxide partial pressures well below atmospheric equilibrium, but PFZ waters are closer to atmospheric equilibrium in this sector [Metal et al., 1999; Poppet al., 1999]. The relative physical and biological contributions to these carbon dioxide partial pressure variations are unclear, but it is important to determine them because physical and biological carbon dioxide transfers are expected to show different responses to climate change [ Matear et al., 1999; Sarmiento and LeQuere, 1996]. For these reasons we focused on the SAZ and, for comparative purposes, on the PFZ to its south. We measured particle fluxes using moored sinking particle traps at three sites in the SAZ, in the PFZ, and beneath the Subantarctic Front (SAF), which separates them. This record describes particle flux data collected between 2000 and 2001. The NetCDF data contains the following variables. Please note not all variables are supplied in all files, specifically there are not uncertainty estimates and no quality control flags for this data. -----DATA DICTIONARY----- Name, description, units, standard name TIME, time, YYYY-MM-DD, time of sample midpoint TIME_START, time sample open, YYYY-MM-DD, time sample open NOMINAL_DEPTH, depth, m, nominal depth LATITUDE, latitude, degrees_north, latitude of anchor LONGITUDE, longitude, degrees_east, longitude of anchor pressure_actual, actual, dbar, actual pressure sample, sample number, 1, sample number sample_quality_control, quality flag for sample number, unitless, quality flag for sample number mass_flux, <1mm, mg m-2 d-1, particulate total mass flux mass_flux_uncertainty, uncertainty for particulate total mass flux, mg m-2 d-1,), uncertainty for particulate total mass flux mass_flux_quality_control, quality flag for particulate total mass flux, unitless, quality flag for particulate total mass flux SAL_BRINE, supernatant, 1, sample supernatant practical salinity SAL_BRINE_uncertainty, uncertainty for sample supernatant practical salinity, 1, uncertainty for sample supernatant practical salinity SAL_BRINE_quality_control, quality flag for sample supernatant practical salinity, unitless, quality flag for sample supernatant practical salinity pH_BRINE, supernatant, 1, sample supernatant pH NBS scale pH_BRINE_uncertainty, uncertainty for sample supernatant pH NBS scale, 1, uncertainty for sample supernatant pH NBS scale pH_BRINE_quality_control, quality flag for sample supernatant pH NBS scale, unitless, quality flag for sample supernatant pH NBS scale PC_mass_flux, <1mm, mg m-2 d-1, particulate total carbon mass flux PC_mass_flux_uncertainty, uncertainty for particulate total carbon mass flux, mg m-2 d-1, uncertainty for particulate total carbon mass flux PC_mass_flux_quality_control, quality flag for particulate total carbon mass flux, unitless, quality flag for particulate total carbon mass flux PN_mass_flux, <1mm, mg m-2 d-1, particulate total nitrogen mass flux PN_mass_flux_uncertainty, uncertainty for particulate total nitrogen mass flux, mg m-2 d-1, uncertainty for particulate total nitrogen mass flux PN_mass_flux_quality_control, quality flag for particulate total nitrogen mass flux, unitless, quality flag for particulate total nitrogen mass flux POC_mass_flux, <1mm, mg m-2 d-1, particulate organic carbon mass flux POC_mass_flux_uncertainty, uncertainty for particulate organic carbon mass flux, mg m-2 d-1, uncertainty for particulate organic carbon mass flux POC_mass_flux_quality_control, quality flag for particulate organic carbon mass flux, unitless, quality flag for particulate organic carbon mass flux PIC_mass_flux, <1mm, mg m-2 d-1, particulate inorganic carbon mass flux PIC_mass_flux_uncertainty, uncertainty for particulate inorganic carbon mass flux, mg m-2 d-1, uncertainty for particulate inorganic carbon mass flux PIC_mass_flux_quality_control, quality flag for particulate inorganic carbon mass flux, unitless, quality flag for particulate inorganic carbon mass flux BSi_mass_flux, <1mm, mg m-2 d-1, particulate biogenic silicon mass flux BSi_mass_flux_uncertainty, uncertainty for particulate biogenic silicon mass flux, mg m-2 d-1, uncertainty for particulate biogenic silicon mass flux BSi_mass_flux_quality_control, quality flag for particulate biogenic silicon mass flux, unitless, quality flag for particulate biogenic silicon mass flux TIME_END, time sample closed, YYYY-MM-DD, time sample closed Reference, citable reference DOI, DOI

This record contains the R code and bibliographic data used in the publication 'Reciprocal knowledge exchange between climate-driven species redistribution and invasion ecology' (doi:10.21425/F5FBG60804). The aim of this study was to examine the current degree of cross-fertilisation between range shift ecology and invasion ecology, as a first step in determining the level of need for increasing connection between the two fields. To that end, here we examine (1) the structure and degree of similarity of themes explored within range shift and invasion ecology publications, (2) the extent that range shift and invasion publications draw on a common pool of research, and (3) the extent that range shift and invasion publications directly cite publications from the other field of study. This dataset includes: 1) R code used in the litsearchr package to generate a semi-automated search string, 2) publication data used for bibliographic analysis, and 3) R code used with the bibliometrix package for keyword co-occurrence analysis.