Macquarie-Bogan Catchment Groundwater Hydrographs

Abstract

This document captures our current understanding of the hydrogeology of the catchment and provides a multidimensional spatial analysis of the groundwater monitoring bore standing water level (SWL) data. Based on the findings, recommendations for further research are presented

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Coverage Spatial

Central K70West

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Gwydir Catchment Groundwater Hydrographs

Abstract

The hydrogeology of the Gwydir Catchment has been studied extensively in the past 40 years, but there are still many gaps in our understanding of the groundwater systems and river-aquifer interactions. These gaps in our knowledge limit our capacity to manage water resources throughout the catchment. This document captures our current understanding of the hydrogeology of the catchment and provides a multidimensional spatial analysis of the groundwater monitoring bore standing water level (SWL) data. Based on the findings, recommendations for further research are presented.

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Coverage Spatial

Gwydir

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In- crop spatial variability assessment and management. (Queensland Component)

Abstract

This CRC Cotton Catchments funded project (1.03.42) identified a number of novel remote sensing applications that have the potential to improve both the economical and environmental sustainability of cotton farming in the future. Such applications included the improved direction of in-season agronomic crop assessments based on varying crop vigour zones, the rapid identification of a range of abiotic and biotic constraints allowing for targeted response, and the development of an image based algorithm for the prediction of total yield and yield variability prior to harvest.

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Ginning for Quality

Abstract

To highlight key areas of Quality Control by both growers and ginners. To identify key quality issues of seed cotton modules both on farm and stored at gin sites. The key areas involved in maintaining module quality from picking to ginning. To identify grower and ginner quality controls

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Detection of subsurface cracking depth through electrical resistivity anisotropy

Abstract

Final Report- Detection of subsurface cracking depth through electrical resistivity anisotropy To date, an understanding of crack dynamics has been hampered by the lack of techniques to observe or monitor crack dynamics below the soil surface.

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Understanding wetland habitats at reach to catchment scales

Abstract

This project developed multi-scale remote sensing techniques to determine the location, extent and hydrological function of wetlands in the Namoi catchment. The project was broken into three distinct components that each examined wetland and riverine habitats at different scales. A medium-resolution lowland wetland component used multi-temporal Landsat TM data to relate river flow height to wetland inundation for a 40 km reach of the Namoi River around Wee Waa. The upland wetlands section sought to refine techniques to map upland wetland extent in the upper Namoi catchment using multisource datasets, including SPOT 5 data, Landsat TM and a medium resolution DEM. The final section of the project developed and assessed very high-resolution LiDAR and airborne image data for describing riverine habitats on a 1 km reach of the Namoi River below Wee Waa.The medium resolution section successfully developed and applied methods to map wetland extent and relate river flow to wetland inundation for a 40 km reach of the Namoi River. Analysis of the downstream attenuation of floods in the reach using historical gauge data showed that upstream flood peaks could be used to predict downstream flood behaviour in a reliable manner. Further a discharge range between 35,000 and 75,000 ML/Day was identified as critical to a substantial increase in wetland inundation.The development of semi-automated techniques for mapping upland wetlands proved unsuccessful using the available datasets. The variation in wetland cover caused by a broad range of farm management practices caused too much spectral variation in satellite imagery to permit useful application of semi-automated processes. In addition, currently available DEM data are too coarse for mapping of these generally narrow features. However, manual mapping of these features based on visual interpretation of 2.5 m pixel merged SPOT 5 data coupled with appropriate mapping rules can be applied to substantially refine to current mapping of upland wetland features.The use of high-resolution LiDAR and digital image data proved successful for mapping riverine habitats at very fine scales. The topographic data provided by the LiDAR permitted the identification of the channel top boundary and hence separation on in-channel and overbank environments. This topographic data also allowed the mapping of key habitats that could be defined by slope, elevation and general shape characteristics. Linking the habitat map to the 3d DEM surface permitted the map to be linked to river stage height data and hence historical habitat inundation patterns could be examined.Key recommendations to arise out of this project are:Extend the medium resolution wetland inundation mapping technique beyond the 40 km reach to other key reaches in the catchment. The availability of free Landsat TM data greatly reduces any costs of key data for this study.Undertake a project to map the extent and location of upland wetlands in the Namoi catchment. This study has shown that existing wetland databases significantly under estimate wetland extent in the upland region of the catchment. A project that focused specifically on mapping upland wetlands with appropriate mapping rules and scale would provide a much more accurate map of the upland wetlands in the region. High-resolution data and techniques to relate flow to inundation proved successful for the study reach analysed in this project. The key recommendation from this study is to investigate potential new research into understanding riverine habitat function following inundation events so that the 3d habitat inundation model can be developed into a 3d riverine habitat function model

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Coverage Spatial

Namoi

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Understanding the salinity threat in irrigated cotton growing areas of Australia - Phase IV - Interpretation & Extension

Abstract

Salinisation as a consequence of irrigation can occur as a result of the application of poor quality (i.e. saline) water or mobilisation of salts from rising water tables (i.e. caused by excessive groundwater recharge). In order to determine the threat of salinisation a project entitled “Understanding the salinity threat in irrigated cotton growing areas of Australia” was established in 1991. Phase I (Preliminary Studies) involved testing existing field techniques (i.e. electromagnetic induction – EM) to assess cause and management of subsoil salinity at the field level, in the lower Namoi valley. Phase II (Methods and Techniques) was aimed at extending these techniques by i) automating EM instruments such as the EM38 and EM31 onto a Mobile Electromagnetic Sensing System (MESS), ii) developing district scale EM investigations (i.e. EM38 and EM34) and iii) carrying out regional scale modeling, in the lower Namoi and Gwydir valleys.

Phase III (Implementation and Management-CRC11C) was aimed at implementing the field (i.e. MESS), district (i.e. EM38 and EM34 surveys) and regional (i.e. reconnaissance soil surveys) methodology developed in Phase II, in each of the major cotton-growing areas of central (eg. Macquarie valley) and northern (eg. Gwydir valley) NSW and southeast (eg. Macintyre valley) Queensland. This was achieved by:

a) initial consultation with various community groups (eg. Bourke Irrigators Association) to ensure research projects developed were consistent with natural research management issues in each cotton-growing area;

b) generate matching research funds through the Natural Heritage Trust and Salt Action Programs;

c) collection of EM34/38 data and soil information in the root- (0-2 m) and vadose- zones (2-12 m) to measure, model, map, manage and monitor soil salinisation processes.

The main outcomes of the research carried out are the collection of over 7,500 EM34 and EM38 measurements and 350 soil profiles (0-12 m sampled at 1 m intervals) in the seven cotton-growing districts across five valleys. As shown in this report the data collected has been used at the district level to map a) deep drainage risk areas, and b) spatial distribution of subsurface saline material, whilst on the field level the cause and management of a) soil salinisation and b) water logging.

In order to consolidate the data collected in Phase III, for improved natural resource management, a follow up project is required (i.e. Phase IV-Interpretation and Extension). The main aim of Phase IV is to interpret the information collected and develop new methods (i.e. groundwater modeling from piezometric data) for understanding how point source soil salinisation occurs in irrigated cotton-growing areas. From the information collected and modelled it is expected that best management options can be devised for improved natural resource management. This is particularly the case in the Bourke, Warren and Trangie districts, where irrigation salinisation is problematic. In addition, detailed EM surveys are required to understand at the field level what the appropriate management options are required for improved natural resource management.

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Riverine Vegetation in the Namoi Catchment - An Assessment of Type and Condition

Abstract

Riverine vegetation includes riparian vegetation associated with the stream or river channel and bank, and floodplain vegetation associated with alluvial flats adjacent of the bank. Riverine vegetation provides multiple benefits within rural landscapes. It influences in-bed physical form and prevents erosion and incision, provides terrestrial and aquatic habitat, and facilitates movement of fauna across the landscape.Floodplain vegetation is unique in the landscape, commonly comprising extensive native grasslands and grassy open woodlands which are not represented elsewhere.The riverine vegetation of most NSW catchments, particularly the floodplain component, has been cleared extensively over the past 150 years for cropping and pastoralism, so that only fragments of the original extent remain. It is important that those who manage remaining areas of riverine vegetation are aware of their inherent condition, so that informed decisions can be made about prioritisation for conservation and management.The total area of the riverine zone in the Namoi catchment in north-western NSW exceeds 10,000 km2, about 25% of the catchment area. It includes over 8,000 km of major streams and rivers within 40 sub-catchments, dominated by either river oak (Casuarina cunninghamiana) or river red gum (Eucalyptus camaldulensis) types, with various other riparian types less common. The floodplain represents about 90% of the riverine zone, and includes major cotton and other cropping areas of the Namoi valley, such as the Liverpool Plains and Walgett Plains. Native vegetation of the floodplain includes open grassy woodlands dominated by Poplar Box (Eucalyptus populnea), Black Box (Eucalyptus largiflorens) and Coolibah (Eucalyptus coolabah), and also true native grasslands dominated by Plains Grass (Austrostipa aristiglumis). A total of 30 regional vegetation communities (RVCs) occur in the riverine zone.An estimated 35% of the riparian zone and 7% of the floodplain zone comprises woody cover in the Namoi, indicating substantial loss of native tree cover in the past. About half the original native vegetation of the Namoi floodplain has been displaced by cropland - most other treeless areas support native grasslands derived from former grassy open woodlands (although areas of true native grassland also remain). The majority of the cleared riparian zone also constitutes derived grassland.This study was commissioned by Cotton Catchment Community CRC and Namoi CMA to develop and apply a framework for evaluating and mapping the condition of native riverine vegetation (riparian and floodplain) in the Namoi catchment. A framework was developed that measured condition using:i. a combination of landscape metrics derived from remotely sensed data,ii. a plot-based sampling program designed to capture ecological data and score them against established benchmarks.The landscape condition assessment used metrics such as %-woody cover, %-nonnative, continuity of vegetation along rivers, and connectivity. Through the combined influence of all landscape metrics, the assessment established that the best 'condition' sub-catchments were associated with large contiguous blocks of vegetation such as in the Pilliga. Conversely, the worst 'condition' sub-catchments were associated with extensively cleared lowlands, such as the Liverpool Plains.The plot-based assessment of vegetation condition sampled a total of 329 plots across the Namoi riverine zone, including 91 on the floodplain and 238 along major channels. A number of ecological attributes, including %-cover and species richness in the canopy, midstorey and understorey, number of large trees, and length of dead fallen timber were measured consistently in each plot. A set of 'benchmarks' was established for each RVC (one benchmark for each ecological attribute) from which plot data could be compared and scored to a maximum value of 100. Vegetation was scored for all 329 sampled plots, providing a final vegetation condition score at each plot.Vegetation condition varied from 98/100 (best condition) to 2/100 (poorest condition), with an overall mean score of 55/100 across all plots sampled in the Namoi catchment. Absence of large and recruiting trees and low shrub diversity and cover appeared to influence condition the most. Three major patterns were observed from the plot data:1. Remnant floodplain vegetation appeared to be in better condition than riparian vegetation;2. Riparian vegetation of upland areas associated with pastoral activities was in poorer condition than that in lowland channels associated with cropping;3. Condition of native remnant vegetation within cotton growing areas was almost identical to that outside cotton growing areas.These observations indicate that the cotton and other cropping industries do notadversely affect the inherent condition of remnant native vegetation relative to other agricultural land-uses in the Namoi (in fact the converse might be true), although the extent to which native floodplain vegetation has been removed and displaced by cropping is likely to be compromising landscape functionality, in terms of provision of effective habitat and facilitation of species movement via corridors of native vegetation.The results are encouraging for the cotton industry because they provide evidence that an effective network of habitats and corridors might be secured and managed to support and improve the conservation of native vegetation, and local fauna and flora species within the Namoi floodplain, while maintaining and developing the cotton industry. It is important that Namoi CMA now commit to better mapping and sampling intact areas of floodplain vegetation, working with landholders and the Cotton CRC to protect the larger areas, and developing a revegetation strategy which aims to link strongholds of good condition native vegetation across the riverine landscape.While some regional priorities for conservation works are proposed - these target good condition floodplain and riparian vegetation - a broader strategy of targeted river reach revegetation is also proposed which aims to improve vegetation condition along significant river reaches in the short term. The strategy requires direct tree (and some shrub) planting over sections of major streams and rivers in which recruitment is lacking and canopy cover is poor, with hands-on protection through the first years of establishment. The Namoi River itself is suggested as a starting point, as a long term goal might be achievement of a continuous east-west riparian corridor through the valley. The program would be focus on working with multiple rather than single landholders.Comparison of landscape-derived and plot-based condition scores provides evidence of a positive correlation, with inherent condition generally greater than surrounding landscape condition. However the relationship is weak, suggesting that local condition of riverine vegetation cannot be confidently predicted from landscape-generated estimates of condition, and that field assessment is ideally required to evaluate vegetation condition on the ground.Outcomes of plot-based sampling demonstrate that a robust estimate of average vegetation condition can be established for any geographic region or entity, such as sub-catchment or stream order, if an adequate number of plots are sampled therein. It follows that estimation of change in vegetation condition is also achievable from year to year, or at regular intervals, if a minimum number of plots are sampled and average condition re-derived. Plot-based condition sampling could readily be employed to monitor, evaluate and report changes in riverine vegetation condition (riparian and floodplain), thus addressing key responsibilities of the Namoi Catchment Action Plan (CAP). The sampling protocol has been designed to undertake sampling rapidly and repeatedly, and is consistent with vegetation condition assessment protocols used in New South Wales, Queensland and Victoria.

Author
Coverage Spatial

Namoi

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Australian Fibre Quality and International Feedback

Abstract

Australian cotton is viewed worldwide as a quality fibre and generally performs as expected. A two part study involving a survey of spinning mills that use Australian cotton and an investigation to demonstrate the effects that lint cleaning in gins can have on fibre quality, and yarn and fabric quality, has been conducted. The mill survey found that high nep and short fibre content in Australian cotton and the high micronaire values of the last few years were of particular concern to the spinning companies. The ginning and textile processing trial demonstrated that reducing the number of lint cleaners and controlling moisture during ginning while not removing all the trash was less damaging to the fibre. Further the textile processing trials demonstrated that the textile mill can adequately cope with the higher trash content with no detrimental effects on processing performance, yarn or fabric quality. Indeed there are indications that yarn and fabric properties were improved with this approach.

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The Changing Global Cotton Market

Abstract

It was May of 1984 while living in Japan; I received a call that our company had bought George H. MCFadden Co. I was told we had a 50% ownership in a gin in Australia and I was to go check it out ASAP. I had never been to Australia so I set off an excited 25 year old. My destination was a place called Bourke. Being the adventurous type, I rented a car at Sydney airport to drive to this place called Bourke so I could see a bit of country on the way. I remember thinking 7 to 8 hours into the drive, where the hell is BoucheΓ

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