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Topographic Position Index (TPI) is a topographic position classification identifying upper, middle and lower parts of the landscape. This dataset includes a mask that identifies where topographic pos... moreition cannot be reliably derived in low relief areas.
The TPI product was derived from Smoothed Digital Elevation Model (DEM-S; ANZCW0703014016), which was derived from the 1 arc-second resolution SRTM data acquired by NASA in February 2000. A masked version of the TPI product was derived using the slope relief classification product.
The TPI data are available at 1 arc-second and 3 arc-second resolution.
The 3 arc-second resolution dataset was generated from the 1 arc-second TPI product and masked by the 3” water and ocean mask datasets.
1181.2 TERN Facility No9 InfoGrid GRUNDY - National Elevation and Terrain Datasets - Published 25 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.
SIP 59 LUTO land use modelling science p - Modelling - Published 31 Jul 2020
Three experimental data sets involving three grapevine varieties and a range of deficit irrigation and pruning treatments are described.
The purpose for obtaining the data sets was two-fold, (1) to m... moreeet the research goals of the Cooperative Research Centre for Viticulture (CRCV) during its tenure 1999-2006, and (2) to test the capacity of the VineLOGIC grapevine growth and development model to predict timing of bud burst, flowering, veraison and harvest, yield and yield components, berry attributes and components of water balance. A test script included with the VineLOGIC source code publication (https://doi.org/10.25919/5eb3536b6a8a8) enables comparison between model predicted and measured values for key variables. Supporting information, including key references relating to the data sets, a description of selected terms, and outcomes of regression analysis between values predicted by the model and observed values, are provided as attachments in supporting documentation.
Legacy data - - Published 17 Jul 2020
A collection of processed and inverted data from the AUS 10057 Ethel Creek - Fortescue River airborne electromagnetic (AEM) survey that is part of the Transforming Agriculture in the Pilbara Project. ... more This data set comprises:
-Gridded electrical conductivity-depth slices of the AEM inversion models for the survey (in .ers format).
-Conductivity-depth sections of the inverted models along the AEM survey flight lines.
-3D representations of the electrical conductivity models draped to a 3s shuttle radar DEM in ParaviewVTK, Gocad unstructured grid, and Gocad voxel formats
-Delivered data from the contractor.
Transforming Agriculture in the Pilbara - Public release of processed and inverted data for AUS 10057 SkyTEM AEM survey - Published 19 Jun 2020
VineLOGIC is a model of grapevine growth and development. It integrates the influence of climate, soil water and salt balance on growth and yield. It operates at a point scale and uses a daily time st... moreep, requiring historical daily weather data from the closest station as inputs. Source code released through this publication underpins separate software with capacity to vary inputs and run simulations. Inputs include the amount and salinity of irrigation water, the way in which the irrigation is applied, e.g. full or partial ground cover, and key components of a typical vineyard, e.g. wine grape variety and rootstock type, pruning and trellis system type, soil type, vine carbohydrate reserve and depth to watertable at the start of the season, groundwater salinity, root zone salinity at simulation start time and mid-row floor management, such as presence or absence of a cover crop. Outputs include key phenology dates, for example, budburst, flowering, veraison and harvest time, growth parameters such as leaf area index and weights of dormant pruning wood, bunch number and yield per vine, berry number per bunch, berry attributes at harvest plus all key parameters of soil water and salt balance, e.g. total evapotranspiration, vine water uptake, surface soil water evaporation, irrigation added, drainage and water stress indices if water deficits occurred at specific growth stages. While the model has access to a wide range of regional climate data and vineyard soil types, climate data for just one region (Mildura, Victoria) and one soil type are intended to be provided through experimental data sets to be published separately in Data Access Portal for running with a test script included in the current collection. Similarly, while the model has access to a range of wine grape varieties and rootstock types, only a limited number are intended to be provided for running with this test script.less
Legacy data - - Published 07 May 2020
AFLP spreadsheet for 28 Acacia salicina populations (585 trees) for 275 loci collected across NSW. Geolocations also included
Strategic CANBR Research - - Published 03 Mar 2020
Dugongs (Dugong dugon) are listed as vulnerable on the IUCN Red List of Threatened species and as other specially protected fauna in WA under Schedule 7 of the Wildlife Conservation (Specially Protect... moreed Fauna) Notice 2015). Gaps in our knowledge in Western Australia include having a good understanding of the species’ distribution, abundance and high use areas across the northwest.
This 3-year project (2014-2017) integrated Indigenous knowledge and scientific observations from field surveys to better understand the distribution, abundance and movements of dugong in the Kimberley region. The data collected also provides a baseline for future monitoring and management.
This medata record relates to raw and processed aerial survey data of marine fauna collected between 21st September 2015 and 8th October 2015 in Kimberley coastal waters to the 20m bathymetry line, comprising dugongs (Dugong dugon), Australian snubfin dolphins (Orcaella heinsohni), other dolphins (bottlenose, spinners, false killer whales), humpback whales (Megaptera novaeangliae) and large, mostly green turtles (Chelonia mydas).
The WA Department of Biodiversity Conservation and Attractions (DBCA, ex-DPaW) and CSIRO provided additional resources to extend the North Kimberley dugong aerial survey boundary westwards (Broome to just past Port Hedland) to cover the South Kimberley-Pilbara coastal regions, to close the last remaining knowledge gap of the dugong distribution and abundance in Australia. This additional survey was completed in May 2017.
Data from a trial movement study undertaken between 1-18th August 2016 also forms part of this metadata record. Five dugongs were tagged with Telonics manatee/dugong tags. GPS and ARGOS satellite detection locations and dive data were downloaded weekly from the ARGOS web site.less
WAMSI-Kim 1.2.5 Dugong Management - Dugong distribution and movement - Published 22 Nov 2019
The remote Kimberley coast of north-western Australia is one of the few marine environments domains on earth largely unaffected by human use. However, the region is undergoing increasing economic impo... morertance as a destination for tourism and significant coastal developments associated with oil and gas exploration. The objective of the project was to reconstruct a timeline of inferred water quality changes from the sediment record for a selected set of sites in the Kimberley, Western Australia.
The project made use of palaeoecological approaches to reconstruct a chronology of change over the last approximately 100 years using a series of biogeochemical proxies for phytoplankton composition and biomass, temperature and terrestrial influences. Where possible these were matched to historical land/water use, meteorological or hydrological observational records. The project examined sediment cores from three coastal locations, Koolama Bay (King George River), Cygnet Bay and Roebuck Bay. Each sampling location provided a contrast with which to evaluate changes over either a spatial or temporal gradient of human or natural influence.
Sediment cores (up to 1.5 m) were obtained from each of these locations in the expectation that they would provide a time series for about the last 100 years. A set of parameters was measured along the core length (every 1-2 cm) for some or all cores depending on the particular focus for the location: 210Pb and 137Cs; 15N isotope; 13C isotope; Carbon/Nitrogen ratio; Sedimentation rate and grain size; Total Organic Carbon (TOC) and Total Nitrogen (TN); Biosilicate; Biomarkers; TEX86; long chain n-alkanes (C27+C29+C31); Elemental carbon (or black carbon).
Rainfall data was obtained from the Australian Bureau of Meteorology website (www.bom.gov.au). Stream flow data was obtained from the Western Australian Department of Water website (www.water.wa.gov.au). Historical bushfire data was obtained from the Western Australian Department of Parks and Wildlife.
The metadata record only relates to data generated as part of the sediment analysis.
WAMSI - KIM 2.2.9 Sediment Record - Sediment coring for water quality assessment - Published 22 Nov 2019
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
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
This data was collected as part of two research projects commissioned by Melbourne Water that investigated components of sediment dynamics in Western Port and its contributing rivers in Victoria, incl... moreuding:
- River TSS, TN, TP loads in Cardinia Ck, Bunyip R, Lang Lang R, Bass R (2015 back to beginning of records)
- Coastal bank erosion rates at Lang Lang (monitored from Nov 2012-June 2016 plus historical air photos back to 1947 for 8.6 km of coastline)
- Weather and coastal photographs, tide and groundwater heights at Lang Lang (Nov 2012-June 2016)
- Bay turbidity and extent of seagrass or macroalgae (1986-2015)
- Conceptual modelling of seagrass extent
Further information on the data is provided in the project reports
- Tomkins et al., 2013:
- Wilkinson et al., 2016:
Western Port Bay Melb Water - Coastal bank erosion and river loads - Published 08 Apr 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
DoE: RFQ 1415-0422 Lead authors for biod - Spatial analysis of Indigenous land interests - Published 03 Apr 2019
Time series (1980-2012) crop areas in the districts and canal commands of Pakistan
Sustainable Development Investmen - Crop area calculations - Published 22 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
Supplementary files which accompany CRC LEME Open File Report 99.
Legacy data - CRC LEME Open File Report Series - Published 30 Sep 2018
Supplementary files which accompany CRC LEME Open File Report 107.
Legacy data - CRC LEME Open File Report Series - Published 26 Sep 2018
Supplementary files which accompany CRC LEME Open File Report 105.
Supplementary files which accompany CRC LEME Open File Report 108.
Supplementary data from CRC LEME open file report 94.
Legacy data - CRC LEME Open File Report Series - Published 25 Sep 2018
Supplementary files which accompany CRC LEME Open File Report 92.
Supplementary files which accompany CRC LEME Open File Report 85.
(CSIRO Exploration and Mining Report 332R, 1992.2nd Impression 2001)
Legacy data - CRC LEME Open File Report Series - Published 13 Sep 2018
This data collection is the source data for the manuscript "Shifting the conservation paradigm - a synthesis of options for renovating nature under climate change" by Suzanne M. Prober, Veronica A. J.... more Doerr, Linda M. Broadhurst, Kristen J. Williams, Fiona Dickson and published in the peer-reviewed journal "Ecological Monographs" in 2018. The data are provided as an excel spreadsheet with three sheets. The results are provided in "SourceData_Prober_etal_EcolMono" including the cited references (peer-reviewed journal articles). The full citation of each reference is given in Appendix S1 of the manuscript (and on tab 3). less
Decision Pathways - Ecosystem Engineers - A synthesis component to review established and emerging ecological engineering options - Published 31 Aug 2018