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Showing results for: [ Conservation and Biodiversity ]
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
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 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
Bio-physical, ecological and social information have been used to parameterise two computer models able to simulate (ALCES and Ecopath with Ecosim [EwE]) land, coastal and marine processes. A careful ... moreexamination of a large volume of publications from the academic, private and public sector has also allowed us to identify a number of climate and social economic development scenarios the Kimberly region may experience in the decades to comeless
WAMSI-Kim 2.2.8 MSE Modelling Knowledge - MSE modelling and ecosystem modelling - Published 22 Nov 2019
Vegetation Fractional Cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. The sum of the three fraction... mores is 100% (+/- 3%) and shown in Red/Green/Blue colors. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. This product is derived from the MODIS Nadir BRDF-Adjusted Reflectance product (MCD43A4) collection 6 and has 500 meters spatial resolution. A suite of derivative products are also produced including monthly fractional cover, total vegetation cover (PV+NPV), and anomaly of total cover against the time series. Monthly: The monthly product is aggregated from the 8-day composites using the medoid method. Anomaly: represents the difference between total vegetation cover (PV+NPV) in a given month and the mean total vegetation cover for that month in all years available, expressed in units of cover. For example, if the mean vegetation cover in January (2001-current year) was 40% and the vegetation cover for the pixel in January 2018 was 30%, the anomaly for the pixel in Jan 2018 would be -10%. Decile: represents the ranking (in ten value intervals) for the total vegetation cover in a given month in relation to the vegetation cover in that month for all years in the time-series. MODIS fractional cover has been validated for Australia. less
DoAWR - Improving the RaPP Map monitoring tool for Australia - - Published 11 Nov 2019
Reproduction and recruitment underlie the maintenance of biological communities. For most marine organisms the ocean environment provides the potential for widespread dispersal of organisms during var... moreious life cycle stages via currents, tides and wind. Within the Kimberley region, key biological communities have a range of reproductive modes. Understanding patterns of larval connectivity is critical to managing the exposure of biological communities to disturbances in space and time. KSN Project 1.1.3 employed genomic tools (microsatellite DNA markers and single nucleotide polymorphisms) and microchemistry to provide the first comprehensive measurements of the distances moved by marine organisms between Kimberley reefs, and how frequently organisms move between the Kimberley and other regions (e.g. offshore shoals, the Pilbara). The research also identified potential barriers to movement. Seven organisms (two hard corals, two seagrasses, a mollusc, two fishes) were chosen as models for exploring connectivity in the Kimberley at both fine and broad scales. This metadata record applies to three of the seven species investigated as part of project WAMSI 2 KSN 1.1.3. The data held is Raw SNP genotype. Metadata records associated with other species and lodged by AIMS, WA Museum, Curtin University, Department of Fisheries (WA) and Edith Cowan University can be accessed via Pawsey. less
WAMSI-Kim 1.1.3 Ecological connectivity - Survey - Published 25 Oct 2019
Datasets of standing dead tree and down woody debris attributes from the multi-century Eucalyptus salubris (gimlet) time since fire chronosequence in the Great Western Woodlands, south-western Austral... moreia. These data include measures of piece sizes, densities, volumes and biomass, and have been used in the publication: Gosper, C.R., Yates C.J., Fox, E. and Prober, S.M. (in press) Time since fire and prior fire interval shape coarse woody debris dynamics in obligate-seeder woodlands. Ecosphereless
TERN: Great Western Woodlands - Eucalyptus salubris chronosequence - Published 20 Sep 2019
This collection comprises two components. These are spatial projections of the estimated patterns in species richness for two subterranean faunal groups, across the Pilbara region of Australia: (1) st... moreygofauna; (2) troglofauna. These spatial layers were created as part of a collaborative research project between CSIRO and BHP to improve our understanding of diversity patterns of subterranean fauna in he Pilbara region. less
Pilbara Community Level Modelling - - Published 04 Sep 2019
Dataset of bird survey results at the multi-century Eucalyptus salubris (gimlet) chronosequence in the Great Western Woodlands, south-western Australia. This data has been used to describe responses o... moref bird species, functional groups and community composition to time since fire (Gosper et al. 2019 Biol Cons 230, 82-90; Gosper et al. in press Ecol Appl). less
TERN: Great Western Woodlands - - Published 02 Aug 2019
Online survey data from Australian residents, distributed nationally, in October 2017. Rating scores of aesthetic beauty are provided for 181 coral reef images that featured a set of specific attribut... morees that were tested as correlates of aesthetic beauty ratings.less
NESP TWQ - 5.6 - Design of an aesthetics long term monitoring program - - Published 29 May 2019
These images of terrestrial biodiversity habitats across Australia relate to a project that aimed to construct and test a method for habitat condition data capture across Australia using expert elicit... moreation. The images in this collection were assembled from various sources to represent habitats from a wide variety of vegetation types and climates in a variety of different condition states (from ‘good’ to ‘poor’). These images represent a continent-wide library suitable for various purposes, including training and validation of model-based approaches to habitat condition assessment.less
Habitat condition data capture using expert elicitation - National Reference Library of Expert Site Condition Assessments - Published 23 May 2019
Land that is owned or managed by Australia’s Indigenous communities, or over which Indigenous people have use and rights, was compiled from information supplied by Australian, state and territory gove... morernments and other statutory authorities with Indigenous land and sea management interests. Indigenous land and sea interests was comprised of: a) Indigenous tenure for Australia (Aboriginal Reserve, Aboriginal Deed of Grant, Aboriginal Freehold Land (inalienable and alienable), Aboriginal Local Government Lease, Aboriginal held lease (other than pastoral), Aboriginal held pastoral lease, Multi feature Aboriginal freehold – National Parks) (1,105,992 km2); b) Indigenous Protected Areas IPAs including sea country (684,124 km2); c) Native title outcomes for areas within determinations a. exclusive possession (851,117 km2), and b. non-exclusive possession (1,500,776 km2) ; d) Collaborative Australian Protected Areas Database 2014 – (Aboriginal Areas, and National Park Aboriginal) – (16,790 km2). Note 1: overlaps have been removed between tenure types (a-d). Note 2: Registered native title claims (yet to be determined) and Indigenous Land Use Agreements (ILUAs) are excluded less
DoE: RFQ 1415-0422 Lead authors for biod - Spatial analysis of Indigenous land interests - Published 03 Apr 2019
These data relate to a project that aimed to construct and test a method for habitat condition data capture across Australia using expert elicitation. The data derived from experts are in two forms: (... more1) habitat condition scores for specified areas at a specified date range, and; (2) habitat condition scores based on images (photographs) of ecosystems. The image based habitat condition data were collected to enable cross-calibration of contributed site assessment data. These data represent the start of a continent-wide library of ecological condition data suitable for training and validation of model-based approaches to habitat condition assessment.less
Habitat condition data capture using expert elicitation - National Reference Library of Expert Site Condition Assessments - Published 05 Mar 2019
SELTMP is assisting Reef managers and other decision-makers within the Great Barrier Reef region to incorporate the human dimension into their planning and management. Analogous to the Australian Cens... moreus, SELTMP gathers long-term data specific to Reef users, communities and industries, enabling new insights into relationships, vulnerabilities and dependencies between people and the natural resources.less
SELTMP II Social and economic long term monitoring program for the GBR - - Published 26 Feb 2019
The Secretariat to the Australian Landcare Council provided a table summarising government and non-government investment programs in ILM. We used this table to guide our searching of web sites and oth... moreer documents to compile an Excel spreadsheet which now includes 2,229 records of separate projects. We were not able to source complete data on a number of the identified sources of investment, including those from State governments, investments by private corporations and not-for-profit organisations. Nevertheless, the data set is the most comprehensive that has ever been assembled on ILM in Australia. While substantial literature exists on Indigenous land management, the relevant documents are widely scattered across internet sites, in diverse State and Territory jurisdictions, in regional and local government and non-government organisations, and across sectoral boundaries (e.g. water management reports, biodiversity management reports). We anticipate that the opportunities and barriers faced by Indigenous land managers may vary across locations, sectors and local/regional/national scales. A simple national maps was produced demonstrating the locations of specific studies contained within reviewed literature. less
CLSD 1173.3 DAFF Indigenous land manag - Spatial analysis of the investment of funding for Indigenous land and sea managment - Published 11 Feb 2019
This dataset contains anonymised, expert elicited data about the management effectiveness of 19 Key Threatening Processes listed under the NSW Biodiversity Conservation Act 2016. Two key pieces of inf... moreormation are generated using the data and the associated R and Matlab code: (1) the expected effectiveness of management under current uncertainty, and (2) the expected value of removing uncertainty about management. Full details of the analysis are contained in the report: Nicol S, Brazill-Boast J, Gorrod E, McSorley A, Peyrard N, Chadès I (2018). Prioritising research and management of key threatening processes and listed species using value of information. CSIRO, Brisbane.less
A value of information analysis to determine the species that would benefit the most from an adaptive management program - - Published 24 Dec 2018
Raw photographs and georectified orthopotographs of three wetland sites on the Kakadu Flood Plain, East Alligator section. Flights captured areas that are under intensive weed management regimes (aer... moreial spraying and ground spraying) to control Para grass (Urochloa mutica).less
Nthn NESP 5.5 Kakadu bushtucker monitoring - UAS photographs - Published 12 Dec 2018
These data provide rasterised layers of edaphic (physical and chemical conditions of the soil) and land surface physiography (landform and geomorphology) attributes hypothesised to explain spatial pat... moreterns in biological diversity at continental scales for immediate use with statistical modelling tools. These data are intended to be used along with a similarly compiled and spatially standardised set of climatic layers (See " 0.01 degree stack of climate layers for continental analysis of biodiversity pattern: version 1.0 " in related materials).NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.less
Closed DEWHA Harness Cntnnt-wide Bdvrsty - Spatial Environmental Data Preparation - Published 11 Dec 2018
