A new project being conducted by the Irrigated Cropping Council, NSW DPI, Deakin University, Murray Local Land Service and Precision Agriculture, with financial support from GRDC, started in July 2014. The long-term objective is to ‘increase grain
production and profitability from surface irrigated soils in the GRDC Southern Region by improving the understanding of the interaction between crops, soils, and irrigation and their effects on crop production’.

Replicated field experiments at three locations in northern NSW with 3 APH bread wheat varieties and 3 durum wheat varieties grown in the presence and absence of Fusarium crown rot infection under 4 nitrogen management strategies and two rainfall scenarios (dryland vs supplementary irrigation). 288 plots/field site. Data set contains establishment, tiller density, yield and grain quality measurements (protein and screenings).

Abstract This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). Metadata was not provided and has been compiled by the Bioregional Assessment Programme …Show full descriptionAbstract This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition. The metadata within the dataset contains the restricted input data to implement the Hunter AWRA-R model for model calibration or simulation. The restricted input contains simulated time-series extracted from the Hunter Integrated Quantity and Quality Model (IQQM) including: irrigation and other diversions (town water supply, mining), reservoir information (volumes, inflows, releases) and allocation information and provided in an excel spreadsheet. Purpose For Hunter AWRA-R modelling Dataset History This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). The data was extracted from the IQQM interface and formatted accordingly. It is considered a source dataset under a formal agreement between CSIRO and DPI Water with confidentiality clauses. Dataset Citation Bioregional Assessment Programme (2017) HUN AWRAR restricted input 01. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/89bb128a-3485-4347-a6f5-b8c8587de23b.

N15 enriched water, plant and soil samples collected during the 2014-15 cotton season as part of a project examining nitrogen losses from irrigated cotton agriculture. Lineage: Site description: All samples were collected from a cotton-wheat-corn-fallow rotation under minimum tillage. The site is located at the Australian Cotton Research Institute, Narrabri; and is currently managed by Gunasekhar Nachimuthu (NSW DPI) and is part of a long term carbon monitoring project run by NSW DPI.

Field Set up: Two 15N plots were established at the site. The first was 9 m2 located over a variable tension lysimeter and fertilised with 180 kg urea-N ha-1 which had 35 atom % 15N label. The second 4 m2 plot was located 15 m downstream and two rows away from the lysimeter with 180 kg Urea-N ha-1 which had 10 atom % 15N label. The final 15N enrichment of the 9 m2 and 4 m2 plots after the addition of the mid-season application was 26.8 atom % and 8 atom % 15N, respectively. The second plot was used for soil sampling because the lysimeter plot soil cannot be disturbed. Two micro-plots (0.25 m2) were also established near the facility. Both micro-plots were fertilised with 180 kg urea-N ha-1 which had 35 atom % 15N. Two sets of 6 flumes were installed at the down and upstream ends of the lysimeter plot.

Sample collection and analysis: Run-off: water samples were collected 4-5 times at each of the flumes located around the lysimeter plot. This was repeated for each irrigation. Water was analysed to TN, NOx and NH4. Runoff water volumes were measured using portable RBC flumes. Change in water head height was measured using 0.5m Odyssey Capacitance Water Level Loggers. Flow rate was calculated from changes in water head height using the manufacturer's calibration values.

Soil samples were collected at the completion of the 2014/15 cotton season by Ben Macdonald (CSIRO) and Yvonne Chang (CSIRO).

Plant samples were collected at the conclusion of each crop season, prior to defoliation. Samples were separated into different plant parts (vegetative and reproductive material).

Deep drainage (below 2m) was collected at the start and end of each cropping season from a variable tension lysimeter. The lysimeter is maintained and operated by Anthony Nadelko (CSIRO). Samples were analysed for urea, total nitrogen (TN), ammonium (NH4-N) and nitrate and nitrite (NOx-N). DON was calculated as TN minus urea, NH4-N and NOx-N

Data processing: Data was collated by Ben Macdonald and Yvonne Chang. Data was processed in R by Yvonne Chang.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

"This image was taken from the report - The West Gippsland Salinity Management Plan - 2005 which addresses salinity in the West Gippsland region over a 5 year period. The plan details a package of management actions to reduce and prevent the effect of salinity on the region's assets. The plan also details a time frame for adoption, cost sharing arrangements and roles and responsibilities for implementation. The plan was an initiative of the West Gippsland Catchment Management Authority as part of its regional natural resource management program. This plan builds on and updates the existing Lake Wellington Catchment Salinity Management Plan (1993) and the draft South Gippsland Salinity Strategy (2000). The West Gippsland Salinity Management Plan was written by Sinclair Knight Merz on behalf of the West Gippsland CMA.

The image is from section 2.1 Salinisation caused by land clearing and irrigation and illustrates the interpreted watertable depth (2002).

http://vro.agriculture.vic.gov.au/dpi/vro/wgregn.nsf/pages/wg_lwm_wg_sal_mgt"

Purpose

Extract from the report.

Depth to water table is a useful parameter for determining the areas either currently salinised or at risk of becoming salinised. Figure 5 shows the current depth to water table across the region compiled from observation bore data and topographic information. The reliability of the map is highly variable depending on the density of bore information (Figure 5 inset). The highest reliability occurs in the Macalister Irrigation District and surrounds where there are more than 300 observation bores monitored on a monthly basis. However, Salinity Management Areas such as Trafalgar have very few observation bores with a consequent low reliability of depth to water table mapping. Depth to water table is the primary factor in determining salinity risk, although there are other factors such as groundwater salinity, degree of flushing and rainfall. The depth to water table map corresponds well with the mapped saline areas.

Dataset History

The West Gippsland Salinity Management Plan was written by Sinclair Knight Merz on behalf of the West Gippsland CMA.

http://vro.agriculture.vic.gov.au/dpi/vro/wgregn.nsf/pages/wg_lwm_wg_sal_mgt

Dataset Citation

Victorian Department of Economic Development, Jobs, Transport and Resources (2005) WGSMP Chapter 2.1 image. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/20ea09a5-381f-4850-a681-ea376abb74d3.

Abstract

The dataset was compiled by the Bioregional Assessment Programme from multiple sources referenced within the dataset and/or metadata. The processes undertaken to compile this dataset are described in the History field in this metadata statement.

Namoi AWRA-R (restricted input data implementation)

This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition. The metadata within the dataset contains the restricted input data to implement the Namoi AWRA-R model for model calibration or simulation. The restricted input contains simulated time-series extracted from the Namoi Integrated Quantity and Quality Model (IQQM) including: irrigation and other diversions (town water supply, mining), reservoir information (volumes, inflows, releases) and allocation information.

Each sub-folder in the associated data has a readme file indicating folder contents and providing general instructions about the use of the data and how it was sourced.

Detailed documentation of the AWRA-R model, is provided in: https://publications.csiro.au/rpr/download?pid=csiro:EP154523&dsid=DS2

Documentation about the implementation of AWRA-R in the Namoi bioregion is provided in BA NAM 2.6.1.3 and 2.6.1.4 products.

Purpose

The resource is used in the development of river system models.

Dataset History

This dataset was supplied to the Bioregional Assessment Programme by DPI Water (NSW Government). The data was extracted from the IQQM interface and formatted accordingly. It is considered a source dataset because the IQQM model cannot be registered as it was provided under a formal agreement between CSIRO and DPI Water with confidentiality clauses.

Dataset Citation

Bioregional Assessment Programme (2017) Namoi AWRA-R (restricted input data implementation). Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/04fc0b56-ba1d-4981-aaf2-ca6c8eaae609.

The Victorian Land Use Information System (VLUIS) dataset has been created by the Spatial Information Sciences Group of the Agriculture Research Division in the Department of Economic Development, Jobs, Transport, and Resources. The method used to create VLUIS is significantly different to traditional methods used to create land use information and has been designed to create regular and consistent data over time. It covers the entire landmass of Victoria and separately describes the land tenure, land use and land cover for each cadastral parcel across the state, biennially for land tenure and use and annually for land cover; for each year from 2006 to 2015. The data is in the form of a feature class. To use the VLUIS data correctly it is important to understand the difference between the three components of VLUIS. The Guidelines for land use mapping in Australia: principles, procedures and definitions, Edition 3 published in 2006 by the Commonwealth of Australia, defines them as follows: Land tenure is the ownership and leasehold interests in land (VLUIS only reports ownership). Land use means the purpose to which the land cover is committed or the property type. Land cover refers to the physical surface of the earth, including various combinations of vegetation types, soils, exposed rocks and water bodies as well as anthropogenic elements, such as agriculture and built environments. The Victorian Land Use Information System (VLUIS) is an ongoing project designed to maintain and manage the Victorian land use mapping dataset. The methodology is still being refined and as such the dataset is subject to improvements and the release of later versions. It is important you speak to the custodian to be advised of the technical details of the dataset and its utility for your desired use. Irrigation activity is included when available. The data was not available in 2006-07 and there was incomplete coverage in 2012-13 and therefore the irrigation activity was not included in either of those datasets. Land cover classification accuracy varies between classes and the overall classification accuracy may be misleading in terms of the accuracy of an individual class. Users are asked to contact the data custodians for detailed class accuracy information if required for their purposes. The dataset does not replace LandUse100 which is still valid for the time in which it was created (1996 - 2005). A metadata statement, for the VLUIS 2012/13 product, and ESRI symbology files for the data can be freely downloaded from the VLUIS project page: http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/vluis DOI: http://dx.doi.org/10.5061/dryad.n08t0

One of the objectives of the Fisheries Management Act 1994 is to 'conserve key fish habitats'.\r \r To achieve the objectives of the Fisheries Management Act, 1994 DPI-Fisheries has identified 'Key Fish Habitats' – those aquatic habitats that are important to the sustainability of the recreational and commercial fishing industries, the maintenance of fish populations generally, and the survival and recovery of threatened aquatic species.\r \r A policy definition of the term 'Key Fish Habitat' (KFH) was developed to guide the compilation of maps. KFH was defined to include all marine and estuarine habitats up to highest astronomical tide level (that reached by 'king' tides) and most permanent and semipermanent freshwater habitats including rivers, creeks, lakes, lagoons, billabongs, weir pools and impoundments up to the top of the bank.\r \r Small headwater creeks and gullies (known as first and second order streams), that only flow for a short period after rain are generally excluded, as are farm dams constructed on such systems. Wholly artificial waterbodies such as irrigation channels, urban drains and ponds, salt and evaporation ponds are also excluded except where they are known to support populations of threatened fish or invertebrates.\r \r Feedback or questions relating to Key Fish Habitat Mapping data can be sent to: fisheries.data@dpi.nsw.gov.au

Salinity Provinces (SPs) provide a framework for describing land and water (both surface and groundwater) salinity in Victoria. These are specific geographic areas where the landscape setting and physical processes contributing to salinity are similar, and where salinity management options are also similar. Each Province contains discrete salinity impacted areas where there is a concentration or higher incidence of land and/or water salinisation, which may or may not have been mapped. This may be primary or secondary salinity, the development of which can be explained by a particular landscape setting, groundwater process or most commonly, Groundwater Flow System(s) (GFS(s)). The soil salinity mapping used to help delineate the SPs does not cover the Irrigation Regions of the State. In these areas, depth to watertable and watertable salinity mapping has been used to convey the threat of high watertables on soil waterlogging and/or soil salinisation. This information is yet to be included in the individual SP pages on Victorian Resources Online but links to existing maps have been added where appropriate. More information on the Salinity Province Mapping can be found on Victorian Resources Online website: http://vro.agriculture.vic.gov.au/dpi/vro/vrosite.nsf/pages/lwm_salinity-provinces

These papers comprise: photographs of the Raymond Terrace Dairy Company and the Rotolactor at Camden Park Estate; minutes of meetings, reports and other papers relating to the Menindee Dairy Project Committee and the Menindee Dairying and Irrigation Scheme; minutes of meetings and other papers relating to the Australian Society of Dairy Technology (1944-54); printed publications on milk, cheese and butter, including reprints from the New South Wales Agricultural Gazette; printed interim report of the Select Committee of the Legislative Council on conditions and prospects of the agricultural industry in New South Wales (1920); papers relating to the cheese chart system; and other sundry items.

(3/16594). 1 box.


Note:

This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

These files deal with general administrative and staff matters as well as the Department's responsibilities for the control, research, production and marketing of primary products. Commonwealth/State relations; legislation; relief and assistance to the rural sector; stabilization of wheat; complaints of professional misconduct against veterinary scientists; grants; annual report to Parliament; employment of Aborigines in the New South Wales Public Service; exposure and effects of pesticides on staff and the environment; agricultural assistance to foreign countries; marketing of agricultural products; irrigation practices; fruit and vegetable grading standards; and agricultural apprenticeships are only some of the many matters dealt with in these files.

The files include papers and correspondence dating from 1897. Boxes 10/42551-57 contain unregistered papers relating to the Australian Wheat Industry Research Council (1948-71).


(4/7823, 5/3210.2, 8/1947, 8/1952A-B, 8/2142A, 10/3897-974, 3/794-95, 10/31909-89, 19/3524-26, 3/16589 part, 7/321-23, 7/317, 10/31479-81, 7/363, 3/8661 part, 3/16587-16588 part, 6/1035.2, 7/7589-90, 10/42539-57, 13/7935-46, 19/3411-55, 10/15031, 3/5953-54, 7/9212 part-9214, 12/3641-47, 3/2383, 7/4678, 7/6465.3-.7, 7/10835-36, 7/11891-93, 10/31475, 10/42499, 13/7978 part, 14/5450 part, 12/10705-26, 14/5522-24, 12/13516.2-13560, 12/3495-98, 7/9437-39, 12/1127, 19/8477-79, 12/13840-62, 12/4445-4452.1). 396 boxes (part), 2 cartons.

Note:

This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

The Darling River Snail (also known as ‘River Snail’) is a mediumsized (20-25 mm) freshwater snail that was once common and\r widespread in the Darling River and its tributaries. However\r populations declined rapidly over the last few decades, probably as a\r result of weir building and other activities associated with river flow\r management. They are now virtually extinct throughout their natural\r range. In the last decade, living specimens have only been found\r from within irrigation pipelines in southern NSW. They are a critically\r endangered species – www.dpi.nsw.gov.au/fishing/threatenedspecies/threatened-species-list/critically/river-snail/river-snail\r The methods used to create the predicted current distribution of the\r Darling River Snail are described fully in: NSW Department of\r Primary Industries (2015), NSW Fish Community Status 2015 – Final\r Report.\r \r All available records of the species were collated and assessed for\r accuracy. For current distribution, only records after 1 January 1994\r were used. Within the framework of the Australian Hydrological\r Geospatial Fabric V2 surface hydrology network, the records were\r associated with attributes from the National Environmental Stream\r Attributes Database and River Styles® geomorphology. The\r Australian Hydrological Geospatial Fabric V2 surface hydrology\r network (Geofabric) is a fully connected and directed stream network\r based a 9 second DEM. It allocates a unique stream segment\r number to each river reach in Australia. The Environmental\r Attributes Database is a set of lookup tables supplying attributes describing the natural and anthropogenic characteristics of the\r stream and catchment environment that was developed by the\r Australian National University (ANU) in 2011 and updated in 2012.\r The data is supplied as part of the supplementary Geofabric\r products which is associated with the 9 second DEM derived\r streams and the National Catchment Boundaries based on 250k\r scale stream network. 30 Stream variables were assessed for the\r modelling.\r River Styles® provides a high resolution categorical classification of\r river character within a nested hierarchy of criteria based on valley\r setting, channel planform, geomorphic units, and bed material. The\r NSW Office of Water compiled a spatial dataset of River Styles®\r classifications for a large number of the waterways of NSW. From 65\r River Style® categories we generated two new fields representing\r Planform (34 categories) and Substratum (8 categories) for each\r stream segment. River Style® planform and substratum categories\r were then assigned to each Geofabric segment.\r \r MaxEnt 3.3.3 is a widely used species distribution modelling program\r that utilises presence records to generate probabilities of occurrence\r based on a suite of environmental variables quantified across the\r area of interest. It was used to model the current geographic\r distribution of each listed threatened freshwater aquatic species or\r population. We utilised logistic output to plot the predicted\r distribution of each species. This output equates to a probability that\r the species will be observed in each river reach, given the\r environmental conditions that exist there relative to the\r environmental conditions where the species is known to occur. For\r this mapping, above 33% probability was considered predicted\r presence. Only stream segments with a modelled average daily flow\r of more than five megalitres were selected for output. In addition,\r predicted separate populations were connected by manual\r interpretation. The predicted values for each river reach were\r converted from the Geofabric framework to the higher resolution\r 2013 NSW Strahler Stream Order Hydroline.