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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 AdaptNRM biodiversity change datasets and maps contextualised for Tasmania and surrounding Islands, and specifically: novel ecological environments, disappearing ecological en... morevironments, and composite ecological change datasets and maps for amphibians, reptiles, mammals, and vascular plants. The Tasmania extent of the equivalent ‘Potential degree of ecological change’ datasets are also included for completeness, although identical to the national datasets. Ecological change is derived from change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the MIROC5 and CanESM2 global climate models (RCP 8.5), scaled using Generalised Dissimilarity Modelling (GDM) of compositional turnover for four biological groups (GDMs: AMP_r2_PTS1, MAM_r2, REP_r3_v2, and VAS_v5_r11). The source GDM models are listed in related materials below (AMP_V2_R2 is the same as the model also denoted ‘AMP_r2_PTS1’; REP_V2_R3 is the same as REP_r3_v2; MAM_V1_R2 is the same as MAM_r2). The equivalent national datasets for novel and disappearing ecological environments, composite ecological change and Potential degree of ecological change are also listed in related materials below.
NOVEL ECOLOGICAL ENVIRONMENTS: this metric describes the nature of the projected 2050-centred future environmental conditions for each 9s grid cell. Using each cell of a GDM projection surface, the metric looks out to all other cells in the specified region, and records the ecological similarity of the future state of the cell to the most similar cell in the present (1990-centred). A novel ecological environment is a possible new ecological environment scaled by ecological similarity that may arise in the future but which doesn’t exist anywhere at present.
DISAPPEARING ECOLOGICAL ENVIRONMENTS: this metric describes the extent to which the long term average environmental conditions for each 9s grid cell in the present (1990-centred) will be present in a projected 2050 centred future. For each cell of a GDM, the metric looks out to all other cells in a specified region, and records the ecological similarity of the present state of the cell to the most similar cell in the future. A disappearing ecological environment is a present-day ecological environment scaled by ecological similarity that may become absent in the future.
COMPOSITE ECOLOGICAL CHANGE: this metric is a composite measure that integrates the Potential degree of ecological change with the degree to which ecological environments are becoming novel or disappearing, showing where different combinations of change may occur and how extreme that change may be.
A technical report for the project provides details about the rationale, methods and data. Further details are described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org.
Data are provided in two forms: 1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). 2. GeoTIFF files (*.tif). After extracting from the zip archive, these files can be imported into most GIS software packages. Component measures are provided in both ESRI float and GeoTiff formats, while composite rasters are provided in GeoTiff format.
Datasets in this series use a consistent naming convention: see the file readme_filenames.txt for a full explanation.
Readme and xml files for how to reproduce the 3-band colours in the composite measure are also provided.
Higher resolution images used in the technical report are also provided. less
Customised AdaptNRM biodiversity impact datasets for Tasmania - Ecological Change Modelling - Published 26 Apr 2017
Compositional turnover patterns in mammal species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracted f... morerom the Atlas of Living Australia current to 26th February 2014 and spatial environmental predictor data compiled at 9 second resolution (with novel climate seasonality predictors, undersampling covariates and >3 species aggregated per 9-second grid cell). The models were developed to underpin continental assessments of biodiversity significance and identify gaps in biological surveys. GDM is a statistical technique that models the dissimilarity in composition of species between pairs of surveyed locations, as a function of environmental differences between these locations. The compositional dissimilarity between a given pair of locations can be thought of as the proportion of species occurring at one location that do not occur at the other location (averaged across the two locations) - ranging from ‘0’ if the two locations have exactly the same species through to ‘1’ if they have no species in common. GDM effectively weights and transforms the environmental variables such that distances between locations in this transformed multidimensional environmental space now correlate, as closely as possible, with the observed biological compositional dissimilarities between these same locations. Once a GDM model has been fitted to the biological data from the sampled locations using environmental predictor data, it can be used to predict compositional dissimilarity values for sites lacking biological data, based purely on their mapped environmental attributes. For this purpose, a set of GDM-scaled environmental grids are produced for use in subsequent spatial assessments of biodiversity significance. This collection includes the source biological and environmental data, the GDM-fitted model, the GDM-scaled environmental predictors for the fitted-model which comprises substrate (constant) and 1990-centred climates, and a derived classification. Projections using past and future climates are not included here (available upon request). This model was used in the AdaptNRM series of reports by Williams et al. (2013) and Prober et al. (2014). less
1173.3 Strat: WPC Global Prot Area Ass - Macroecological Modelling - Published 09 Jan 2017
The Australian National Wildlife Collection is a significant biodiversity resource aiding the study, classification and documentation of Australia’s terrestrial vertebrates (excluding fresh water fish... more) . In April 1976, it was formally recognised by its gazettal as the Australian National Wildlife Collection by the Commonwealth Government.
The Australian National Wildlife Collection holds approximately 200 000 irreplaceable scientific specimens, including skins, skeletons, specimens in spirit, bird eggs, tissues and a wildlife sound library. The collection focuses on terrestrial vertebrates of Australia and Papua New Guinea and rodents of South-East Asia. There are also specimens from other parts of the world.
ANWC research addresses the diversity, evolution, and conservation of Australia's wildlife, focussing on its systematics and taxonomy (study of evolutionary relationships among organisms) and biogeography.less
Australian National Wildlife Collection - Biological Specimen Collections - Published 30 Jan 2013
The Wildlife Parasite and Pathology Collection is a biodiversity resource backing up nearly 40 years of research into the biology and taxonomy of Australian native and introduced parasites and the bio... morelogy and pathology of their hosts.
The Collection currently holds 9,228 irreplaceable specimens of 1074 parasite species, covering 94 families in 13 orders, from 7,358 individual postmortems on 579 host species. The collection documents 24,110 individual host-parasite associations, representing 3,307 unique associations between a given parasite species and a given host species.
The Collection focuses on the parasites of the terrestrial vertebrates of Australia and Papua New Guinea and rodents of South-East Asia. There are also specimens from other parts of the world.less
Australian National Wildlife Collection - Biological Specimen Collections - Published 24 Jan 2013