Simulation of Nutrient Loadings from the Rural Cox Creek Watershed (South Australia) by SWAT as Prerequisite for Land-use Specific Scenario Analysis

1993 ◽  
Vol 28 (3-5) ◽  
pp. 379-387 ◽  
Author(s):  
S. Mostaghimi ◽  
P. W. McClellan ◽  
R. A. Cooke

The Nomini Creek Watershed/Water Quality monitoring project was initiated in 1985, as part of the Chesapeake Bay Agreement of 1983, to quantify the impacts of agricultural best management practices (BMPs) on improving water quality. The watershed monitoring system was designed to provide a comprehensive assessment of the quality of surface and groundwater as influenced by changes in land use, agronomic, and cultural practices in the watershed over the duration of the project. The primary chemical characteristics monitored include both soluble and sediment-bound nutrients and pesticides in surface and groundwater. Water samples from 8 monitoring wells located in agricultural areas in the watershed were analyzed for 22 pesticides. A total of 20 pesticides have been detected in water samples collected. Atrazine is the most frequently detected pesticide. Detected concentrations of atrazine ranged from 0.03 - 25.56 ppb and occurred in about 26 percent of the samples. Other pesticides were detected at frequencies ranging from 1.6 to 14.2 percent of all samples collected and concentrations between 0.01 and 41.89 ppb. The observed concentrations and spatial distributions of pesticide contamination of groundwater are compared to land use and cropping patterns. Results indicate that BMPs are quite effective in reducing pesticide concentrations in groundwater.


Author(s):  
Qinglong Ding ◽  
Yang Chen ◽  
Lingtong Bu ◽  
Yanmei Ye

The past decades were witnessing unprecedented habitat degradation across the globe. It thus is of great significance to investigate the impacts of land use change on habitat quality in the context of rapid urbanization, particularly in developing countries. However, rare studies were conducted to predict the spatiotemporal distribution of habitat quality under multiple future land use scenarios. In this paper, we established a framework by coupling the future land use simulation (FLUS) model with the Intergrated Valuation of Environmental Services and Tradeoffs (InVEST) model. We then analyzed the habitat quality change in Dongying City in 2030 under four scenarios: business as usual (BAU), fast cultivated land expansion scenario (FCLE), ecological security scenario (ES) and sustainable development scenario (SD). We found that the land use change in Dongying City, driven by urbanization and agricultural reclamation, was mainly characterized by the transfer of cultivated land, construction land and unused land; the area of unused land was significantly reduced. While the habitat quality in Dongying City showed a degradative trend from 2009 to 2017, it will be improved from 2017 to 2030 under four scenarios. The high-quality habitat will be mainly distributed in the Yellow River Estuary and coastal areas, and the areas with low-quality habitat will be concentrated in the central and southern regions. Multi-scenario analysis shows that the SD will have the highest habitat quality, while the BAU scenario will have the lowest. It is interesting that the ES scenario fails to have the highest capacity to protect habitat quality, which may be related to the excessive saline alkali land. Appropriate reclamation of the unused land is conducive to cultivated land protection and food security, but also improving the habitat quality and giving play to the versatility and multidimensional value of the agricultural landscape. This shows that the SD of comprehensive coordination of urban development, agricultural development and ecological protection is an effective way to maintain the habitat quality and biodiversity.


1988 ◽  
Vol 28 (1) ◽  
pp. 325
Author(s):  
O. Morozow

The continued access to land for exploration by the petroleum and mineral industries in Australia has been increasingly impeded by State and Commonwealth legislation aimed at dedicating Crown Land for single land uses.In September 1986, South Australia's Minister for Mines and Energy, Ron Payne, announced a Cabinet decision for 'a package of recommendations designed to foster multiple land-use concepts and to ensure that no land is alienated from exploration without careful consideration of the sub-surface mineral/petroleum potential, relevant economic factors and the existing and potential sub-surface rights'.In this one innovative and potentially far-reaching move, the South Australian Government has:provided a framework to reconcile conflicting interests;indicated a willingness to listen and act upon the expressed legitimate concerns of industries of vital economic importance to the State;made it necessary for the proponents of reserve areas such as National Parks to be more accountable and to provide balanced, scientific substantiation;indicated its intention to make legislative changes to allow for the adoption of multiple land-use principles; andredressed the imbalance where, in the words of the Minister, 'Legislation providing for Aboriginal land rights, the creation of national and conservation parks, and State Government heritage areas have, to varying degrees, created unforeseen consequences for the resources industry'.The first practical test of this new Government policy is the proposed declaration of the Innamincka Regional Reserve, currently a 14 000 sq km pastoral lease within some of the most productive areas of PELs 5 & 6 held jointly by Santos Ltd. and Delhi Petroleum Pty. Ltd.It is intended that this new form of reserve will allow for the protection of specific areas of environmental sensitivity and of cultural, scientific and historic value, while still allowing for the continuation of pastoral, tourist and petroleum exploration/ production activity within the major part of the reserve area.


Forests ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 581
Author(s):  
Markandu Anputhas ◽  
Johannus Janmaat ◽  
Craig Nichol ◽  
Adam Wei

Research Highlights: Forest conservation policies can drive land-use change to other land-use types. In multifunctional landscapes, forest conservation policies will therefore impact on other functions delivered by the landscape. Finding the best pattern of land use requires considering these interactions. Background and Objectives: Population growth continues to drive the development of land for urban purposes. Consequently, there is a loss of other land uses, such as agriculture and forested lands. Efforts to conserve one type of land use will drive more change onto other land uses. Absent effective collaboration among affected communities and relevant institutional agents, unexpected and undesirable land-use change may occur. Materials and Methods: A CLUE-S (Conversion of Land Use and its Effects at Small Scales) model was developed for the Deep Creek watershed, a small sub-basin in the Okanagan Valley of British Columbia, Canada. The valley is experiencing among the most rapid population growth of any region in Canada. Land uses were aggregated into one forested land-use type, one urban land-use type, and three agricultural types. Land-use change was simulated for combinations of two forest conservation policies. Changes are categorized by location, land type, and an existing agricultural land policy. Results: Forest conservation policies drive land conversion onto agricultural land and may increase the loss of low elevation forested land. Model results show where the greatest pressure for removing land from agriculture is likely to occur for each scenario. As an important corridor for species movement, the loss of low elevation forest land may have serious impacts on habitat connectivity. Conclusions: Forest conservation policies that do not account for feedbacks can have unintended consequences, such as increasing conversion pressures on other valued land uses. To avoid surprises, land-use planners and policy makers need to consider these interactions. Models such as CLUE-S can help identify these spatial impacts.


Rural History ◽  
2015 ◽  
Vol 26 (1) ◽  
pp. 101-125 ◽  
Author(s):  
SIMON J. FIELKE ◽  
DOUGLAS K. BARDSLEY

Abstract:This paper aims to explain why South Australian agricultural land use is focused on continually increasing productivity, when the majority of produce is exported, at the long-term expense of agriculturally-based communities and the environment. A historical analysis of literature relevant to the agricultural development of South Australia is used chronologically to report aspects of the industry that continue to cause concerns in the present day. The historically dominant capitalist socio-economic system and ‘anthropocentric’ world views of farmers, politicians, and key stakeholders have resulted in detrimental social, environmental and political outcomes. Although recognition of the environmental impacts of agricultural land use has increased dramatically since the 1980s, conventional productivist, export oriented farming still dominates the South Australian landscape. A combination of market oriented initiatives and concerned producers are, however, contributing to increasing the recognition of the environmental and social outcomes of agricultural practice and it is argued here that South Australia has the opportunity to value multifunctional land use more explicitly via innovative policy.


2008 ◽  
Vol 57 (9) ◽  
pp. 1349-1354 ◽  
Author(s):  
Mi-Hyun Park ◽  
Michael K. Stenstrom

Estimation of stormwater pollutant loads using land use based models has been widely used for establishing regulations and management practices. This approach requires land use information to assign the imperviousness or runoff coefficients (RC) and event mean concentrations (EMCs) for the pollutants of interest. This simplistic approach is useful to estimate the total mass emissions. However, different research groups have used various parameters based upon similar data sources, and there are very few validations using actual field data. This study compares the assumptions, methodologies and results of several, independent modelling efforts, and functions as a quality and sensitivity study of the methodologies. The similarity or differences of the various model results serve as a qualitative indicator of the state of art for this type of stormwater modelling.


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