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Showing results for: [ Conservation and Biodiversity ]
Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project are classified into various seafloor cover types according to their hardness, rugosity and depth. The classificati... moreons are validated with towed video ground truth where it is available. Three AOIs are classified, two that were explicitly part of the Ningaloo Outlook Deep Reefs project and a third transect that was acquired incidentally while RV Investigator was transiting between locations. Due to the nature of the acquired data, two different approaches were taken for the classification, the first approach used multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. The second approach used flattened multibeam backscatter (i.e. with the angular effects removed), along with rugosity as inputs to a Random Forest Classifier. Estimates of the accuracy of the classifiers are produced, where possible, along with area statistics for the different substratum observed in the classified maps. The maps are GeoTIFFs with text based classification keys. [Note:] Area 5 onlyless
2016 NESP Marine Biodiversity Hub Project D3 - Evaluating and monitoring the status of marine biodiversity assets on the continental shelf MBH - Classify substrate - Published 30 Mar 2021
Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project are classified into various seafloor cover types according to their hardness, rugosity and depth. The classificati... moreons are validated with towed video ground truth where it is available. Three AOIs are classified, two that were explicitly part of the Ningaloo Outlook Deep Reefs project and a third transect that was acquired incidentally while RV Investigator was transiting between locations. Due to the nature of the acquired data, two different approaches were taken for the classification, the first approach used multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. The second approach used flattened multibeam backscatter (i.e. with the angular effects removed), along with rugosity as inputs to a Random Forest Classifier. Estimates of the accuracy of the classifiers are produced, where possible, along with area statistics for the different substratum observed in the classified maps. The maps are GeoTIFFs with text based classification keys. [Note:] 120m Transect onlyless
Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project are classified into various seafloor cover types according to their hardness, rugosity and depth. The classificati... moreons are validated with towed video ground truth where it is available. Three AOIs are classified, two that were explicitly part of the Ningaloo Outlook Deep Reefs project and a third transect that was acquired incidentally while RV Investigator was transiting between locations. Due to the nature of the acquired data, two different approaches were taken for the classification, the first approach used multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier. The second approach used flattened multibeam backscatter (i.e. with the angular effects removed), along with rugosity as inputs to a Random Forest Classifier. Estimates of the accuracy of the classifiers are produced, where possible, along with area statistics for the different substratum observed in the classified maps. The maps are GeoTIFFs with text based classification keys. [Note:] Area 3a onlyless
Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant... more component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 13.02.*.avi to 23.09.*.aviless
2016 NESP Marine Biodiversity Hub Project D3 - Evaluating and monitoring the status of marine biodiversity assets on the continental shelf MBH - Baited Remote Underwater Video - Published 13 Feb 2021
Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant... more component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 30.01.*.avi to 31.06.*.aviless
2016 NESP Marine Biodiversity Hub Project D3 - Evaluating and monitoring the status of marine biodiversity assets on the continental shelf MBH - Baited Remote Underwater Video - Published 12 Feb 2021
Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant... more component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 8.01.*.avi to 12.11.*.aviless
2016 NESP Marine Biodiversity Hub Project D3 - Evaluating and monitoring the status of marine biodiversity assets on the continental shelf MBH - Baited Remote Underwater Video - Published 06 Feb 2021
Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant... more component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains files: 1.01.*.avi to 7.08.*.aviless
Name, Brief Description and owner: Baited Remote Underwater stereo-Video (BRUV) systems (6 in total) were used. All equipment (BRUVs, weights, cameras, lights, ropes, etc.) belonged to UWA Relevant... more component details: make, model, serial number, firmware version, settings: Stereo‐BRUV systems consisted of a frame, protecting 2 convergent video cameras inside waterproof housings (plus one rear-facing video camera) and 2 lights (one forward-facing and one rear-facing), attached to a base bar, with a baited container fixed in front of the cameras. Systems were tethered by rope to surface buoys to facilitate relocation and retrieval. Weights were added to frames due to the current and depth in the area. Cameras used: 2 x Canon HG 25 (forward facing) with the follow settings: • Focus: Manual (3.0m) • Rec Program: P) • Image stabilizer: OFF • Facial recognition: OFF • Recording mode: MXP • Frame rate: PF25 1 x GoPro Hero 3+ (backwards facing), taking photos every 60 seconds. Cameras were calibrated at UWA prior to and at the conclusion of the field trip, using SeaGIS software Cal. Contains folders: Backwards, Forwards, New Convert, Videos Done less
2016 NESP Marine Biodiversity Hub Project D3 - Evaluating and monitoring the status of marine biodiversity assets on the continental shelf MBH - Baited Remote Underwater Video - Published 04 Feb 2021
Microsatellite and SNP data were generated to assess genetic diversity, population genetic structure and relatedness in two SPAs and remnant populations in the Goulburn Brokn CMA Victoria
Strategic Genetic Value Banksia Marginat - - Published 21 Jan 2021
This collection of 9-second raster data was compiled for use in modelling biodiversity pattern by developers engaged in supporting the New South Wales Biodiversity Indicators Program. Substrate and la... morendform data derive from existing collections and have been altered from their native format to fill missing and erroneous data gaps as described in the lineage. Climate data were derived using existing methods as described in the lineage. Masks derived or adopted for use in processing the data are included in this collection. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994. less
BBA2: Conduct the baseline assessment and prepare a state of NSW biodiversity report - Spatial Data Preparation - Published 02 Dec 2020
Genotyping-by-sequencing data (raw reads and assembled/aligned) for conservation genomic study on Corybas acotiniflorus species complex (Acianthinae, Diurideae, Orchidaceae). Reference: Natascha D. Wa... moregner, Mark A. Clements, Lalita Simpson, Katharina Nargar: Conservation in the face of hybridisation: genome-wide study to evaluate taxonomic delimitation and conservation status of a threatened orchid species . Conservation Genetics (accepted manuscript). less
Australian National Herbarium - - Published 02 Dec 2020
This is an overall (parent) record for the data collected from surveys of selected marine and terrestrial environmental values at Ashmore Reef Marine Park that were carried out in 2019. In early 2019 ... moreParks Australia commissioned CSIRO to undertake a survey of selected marine and terrestrial environmental values at Ashmore Reef Marine Park. For the terrestrial component, the required elements were to quantify the diversity and abundance of native and non-native plant species, determine the population status and diversity of birds on the islands and to determine the abundance of non-native invasive tropical fire ants. The remit included any evidence of interactions between the fire ants and native fauna, especially birds and turtles. Specific foci for the marine component of the survey were to assess the abundance of key invertebrates which have historically been the subject of illegal fishing and over-exploitation (trochus, beche-de-mer and giant clams), and to assess status (cover and health) of key habitat forming benthic assemblages (corals, macroalgae and seagrass).less
Environmental Monitoring at Ashmore Reef - Ashmore 2019 - Published 27 Nov 2020
A website for stakeholders and interested parties to plot and view the locations of turtles tagged with satellite tags as part of the Ningaloo Outlook project.
Ningaloo Outlook Phase II - Turtle Tracking - Published 05 Nov 2020
This collection contains the data, processes and descriptions of workflows required to produce the representative species sets for vascular plants used in the NSW Biodiversity Indicator Program first ... moreassessment. The labels given to the datasets in this collection are defined in the workflow diagram and data links spreadsheet. This is a supplementary dataset that was used as an input to the three derived indicators for vascular plants: 1.2a expected survival of all known species 2.1a within-species genetic diversity (for all known species) 2.1b extant area occupied (for all known species). Details are given in the explanatory notes attached with this package and the method implementation report (Nipperess DA, Faith DP, Williams KJ, King D, Manion G, Ware C, Schmidt R, Love J, Drielsma M, Allen S & Ware C 2019, Expected survival and state of all known species: Data packages for the Biodiversity Indicator Program, first assessment.) accessed through the NSW Biodiversity Indicator Program website (see related links). less
BBA2: Conduct the baseline assessment and prepare a state of NSW biodiversity report - Creation of Representative Sets of Species - Published 10 Aug 2020
Using the Land-Use Trade-Offs (LUTO) model, this data collection was produced via a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia... more’s intensive-use agricultural land to 2050, under intersecting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land uses and assessed sustainability of economic returns and multiple ecosystem services at high spatial (1.1 km grid cell) and temporal (annual) resolution. Results available are for 648 scenarios covering combinations of four global outlooks, three general circulation climate models, three domestic land-use policies, three productivity growth rates, three land-use change adoption hurdle rates, and two capacity constraint settings. Outputs included for each scenario are: - annual land-use layers - summary data table - graphical dashboard summary - animation of potential land-use change, drivers, and impacts. This analysis was conducted in conjunction with CSIRO’s Australian National Outlook 2015 initiative to assess future potential land-use change and the impacts for the sustainability of ecosystem services. A full description of the methods and synthesis of the results can be found in the papers listed in the Related Information below and freely available via email from the author. The data is provided to support a national conversation on the future for Australian land systems, public decision-making and policy design, and further scientific research. less
SIP 59 LUTO land use modelling science p - Modelling - Published 31 Jul 2020
BILBI (the Biogeographic Infrastructure for Large-scaled Biodiversity Indicators) is a CSIRO capability for global biodiversity assessment. BILBI uses best available biological and environmental data,... more modelling and high performance computing to assess biodiversity change at fine spatial resolution across the global land surface. The example dataset and code are designed to be used together, to provide a demonstration of the BILBI implementation, stepping through an example of model fitting, through to indicator calculation and mapping.less
STRATEGIC - Global Biodiversity Modelling: Business model implementation for SDG, CBD and UN SEEA applications - - Published 13 Jul 2020
This data collection contains the tabular data, R scripts and methods used to generate three indicators specific to vascular plants for the NSW Biodiversity Indicator Program's first assessment (prior... more to the date of commencement of the Biodiversity Conservation Act 2016): 1.2a expected survival of all known species; 2.1a within-species genetic diversity (for all known species); 2.1b extant area occupied (for all known species). These indicators use representative species sets (provided in a related data collection). The habitat condition indicators (related data collections) are used to infer reduction in geographic range size. These indicators are an application of the ‘expected diversity’ framework. Reduction in the geographic range size of a species due to habitat loss, alteration and fragmentation is well known to decrease within-species genetic diversity and increase extinction risk. Therefore, current range size and proportion of range lost from habitat loss, alteration and fragmentation were estimated for vascular plant species known to occur naturally in New South Wales. The area of effective habitat (i.e. high quality habitat able to support biodiversity) remaining for each species was estimated from two alternative habitat condition indicators (Love et al. 2020): ecological condition of terrestrial habitat and ecological carrying capacity of terrestrial habitat. Because most species in New South Wales have not been formally assessed for possible threatened status (i.e. at heightened risk of extinction), a provisional risk assessment using a limited set of criteria was completed for all NSW vascular plant species for which adequate data were available from the Atlas of Living Australia. For consistency with IUCN recommended Red List methods, the expected survival of all known species uses area of occupancy within 2km grids to classify all species into four categories: lowest risk, lower risk, higher risk and highest risk. Each category was assigned a probability of survival, allowing the proportion of NSW vascular plant species expected to survive in 100 years to be estimated. Extrapolating trends in the rate of biodiversity loss requires that the list of species used in analyses are representative of the overall biodiversity of New South Wales. A subset of NSW vascular plant species that uniformly represent the full variety of natural habitats for vascular plants in New South Wales (called the representative species set) was selected to represent all vascular plant species, including those yet to be discovered. Ecological environments defined by a generalised dissimilarity model of vascular plants were used as a surrogate for the variety of natural habitats. Based on the proportion of remaining effective habitat in each species’ original range, within-species genetic diversity is also estimated. A range of values is given because each species will respond to loss of range size differently, depending on factors like dispersal ability and degree of adaptation to local environmental conditions, and these differences are not precisely known. The data and scripts provided in the data collection will allow the pre-commencement analyses of these indicators to be re-run. The method as applied in the scripts is designed to allow future iterations of the indicators to be run using updated input data. Guidelines on how to re-run the analyses using the scripts and adapt the data package for future iterations of the indicators is provided in the implementation report (Nipperess DA, Faith DP, Williams KJ, King D, Manion G, Ware C, Schmidt R, Love J, Drielsma M, Allen S & Gallagher R 2020. Expected survival and state of all known species, first assessment. Department of Planning, Industry and Environment NSW, Sydney, Australia.). The relevant guidelines extracted from that report are provided with this data package.less
BBA2: Conduct the baseline assessment and prepare a state of NSW biodiversity report - Implementation of expected survival of all known species indicators(1.2a 2.1a 2.1b) - Published 21 May 2020
This data collection contains the tabular data and R scripts used to generate three biodiversity indicators for the NSW biodiversity baseline 2017: a) Expected survival of listed threatened species; b... more) Expected existence of listed threatened ecological communities; and c) Expected survival of phylogenetic diversity of listed threatened species (for mammals, birds and amphibians). The indicators are an application of the ‘expected diversity’ framework. Expected Diversity, as a measure of biodiversity status and trend, was applied to the lists of threatened species and ecological communities as determined by the NSW Threatened Species Scientific Committee (TSS-C) between 1995 and 2017 (prior to 25th August 2017m the date of commencement of the Biodiversity Conservation Act 2016. The data and scripts provided in the data collection will allow the pre-commencement analyses of these indicators to be re-run. The method as applied in the scripts is designed to allow future iterations of the indicators to be run on an annual basis, if desired. Changes to taxonomy, future determinations of the NSW TSS-C, and future reporting on the effectiveness of threatened species management will require revision of the underlying data used in the indicators. Guidelines on how to re-run the analyses using the scripts and adapt the data package for future iterations of the indicators is provided in the implementation report (Nipperess DA, Faith DP, Auld TD, Brazill-Boast J, Williams KJ & King D (2020) Expected survival of listed and threatened species and ecological communities. Biodiversity Indicator Program Implementation Report, Department of Planning Industry and Environment NSW, Sydney, Australia.), and relevant guidelines extracted from the report are attached with this data package.less
BBA2: Conduct the baseline assessment and prepare a state of NSW biodiversity report - Implementation of expected diversity indicators (1.1 series) - Published 21 May 2020
Benthic video collected during the MNF Investigator voyage IN2018_V06, sampling seamounts off Tasmania, were annotated for the matrix-forming stony coral Solenosmilia variabilis (Metadata description ... morein MarLIN). The present data set is a sub-set of the collection, processed for analyses presented in Williams et al. 2020, Frontiers in Marine Science (doi: 10.3389/fmars.2020.00187), where a method of identifying Vulnerable Marine Ecosystem (VME) habitats was applied and tested, using these data.less
Huon and Tasman fracture corals - - Published 24 Mar 2020
This global spatial layer of contextual intactness aims to identify priority areas around the world where protection and management will best promote biodiversity persistence. This layer was derived b... morey integrating both the condition of each focal location and the condition of all other locations expected to have supported shared species with the focal location prior to any habitat degradation. The contextual intactness of each location (grid cell) is the proportion of habitat predicted to have once supported a similar assemblage of species but is now in worse condition than the focal location. This was derived using the BILBI global biodiversity assessment system, by integrating: (1) an updated map of the terrestrial human footprint on natural systems, and; (2) generalized dissimilarity models of species assemblage turnover for terrestrial vertebrates, invertebrates, and plants.less
The value of intact habitat for conserving biodiversity - - Published 23 Mar 2020
Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of techno... morelogies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters. --o-- Two remote stereo underwater video RUV units were built and supplied by SeaGIS Pty. Ltd. (www.seagis.com.au). The RUV systems consisted of a pair of GoPro Hero 5 cameras mounted inside waterproof housings that were fitted to a stainless steel frame. The frames were supplied with breakaway legs, so that the units could be reliably retrieved in the event of fouling on the seabed. Breakaway legs also enabled ballast to be readily adjusted to suit the prevailing conditions. To aid in the deployment and recovery of the RUV units, each unit was attached to a surface buoy with 8 mm rope. NOTE: RAW image and video files only less
Assessment of MMV methodologies for subsea CCS: seabed and water column monitoring - RUV - Published 12 Feb 2020
Assessment of MMV methodologies for subsea CCS: seabed and water column monitoring - RUV - Published 11 Feb 2020
Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of techno... morelogies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters. --o-- [NOTE: this record is only for the video and image data] Nineteen 750 m towed video transects were completed. Site locations were chosen to coincide with dive locations to be surveyed on the second voyage in April 2018. To ensure video transects intersected seabed features of interest (dunes), transects were oriented parallel to the shore line (NE to SE), perpendicular to the dunes. Data feeds included HD video, still images of the seafloor (5s intervals) and water quality information from an ecotriplet, CTD and LiCor instrument. Habitat characteristics were characterised using the video and “Tappity” underway classification system. The system performed well with no issues except an occasional intermittent GPS feed and slight over exposure in the still images. Water visibility was variable and generally more turbid inshore where there were high densities of gelatinous matter in the water column near the seabad (<5 m visibility). Although this level of visibility reduced the ability to see the seafloor in the video substantially, the broad level habitat classifications provided by the Tappitty system are considered reliable. Habitat characteristics were largely as expected with 15 of the 19 sites dominated by course to medium sand, sparse seagrass and drifting macroalgae. The four remaining sites were dominated by low relief reef with Ecklonia, low-foliose macoalgae, sponges and gorgonians. Sand and sparse seagrass habitats tended to be located offshore and the low relief reef sites tended to be located inshore and toward the northern boundary of the survey area i.e. sites 2,17,13,14. No issues were encountered with the water quality logging equipment or data collection.less
Assessment of MMV methodologies for subsea CCS: seabed and water column monitoring - Towed Video - Published 05 Feb 2020
Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of techno... morelogies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters. --o-- Two remote stereo underwater video RUV units were built and supplied by SeaGIS Pty. Ltd. (www.seagis.com.au). The RUV systems consisted of a pair of GoPro Hero 5 cameras mounted inside waterproof housings that were fitted to a stainless steel frame. The frames were supplied with breakaway legs, so that the units could be reliably retrieved in the event of fouling on the seabed. Breakaway legs also enabled ballast to be readily adjusted to suit the prevailing conditions. To aid in the deployment and recovery of the RUV units, each unit was attached to a surface buoy with 8 mm rope. NOTE: Renamed image and video files only less
Assessment of MMV methodologies for subsea CCS: seabed and water column monitoring - RUV - Published 18 Jan 2020
Assessment of MMV methodologies for subsea CCS: seabed and water column monitoring - RUV - Published 08 Jan 2020
