Showing results for: [ King, Darran ]
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
A selection of 9-arcsecond resolution substrate surfaces (soil and landform) for the Australian continent, aggregated from 3-arcsecond source data. These substrate surfaces have been selected because ... morethey have been found to be relevant to biodiversity modelling using generalised dissimilarity modelling. These data are intended to be used along with a similarly compiled and spatially standardised 9-arcsecond gridded climatic layers. See links for related collections. less
DEE: Enhancing landscape data and analytic capability through knowledge transfer of GDM technology - Australian 9s environmental surfaces - Published 19 Jun 2018
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 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.
SIP 59 LUTO land use modelling science p - Modelling - Published 07 Jun 2016
The maps in this data base identify most profitable land use in 2050. The information plotted on the maps is classified by current and potential land use, for seven scenarios assuming new land markets... more and recent trend agricultural productivity. Each scenario assumes a different level of carbon payment for single-species plantings, expressed as a share of the maximum payment in the very strong abatement scenario. Differences in payment rate arise from the level of global abatement incentives, interacting with biodiversity settings. The analysis assumes that no land shifts from native vegetation (including forest, woodland, shrubland and grassland) to agricultural use. The H3 map is for balanced land market settings. The CSIRO Data Access portal provides individual PowerPoint slides for each scenario, individual .tif files for each scenario map. Access to the Australian National Outlook Report and Technical Report can be found at http://www.csiro.au/nationaloutlook/.less
Integration Science and Modelling (ISAM) - Modelling - Published 14 Mar 2016