11 research outputs found
Evaluation of a natural resource management program: an Australian case study
Good evaluation practice generally requires that clear project and program objectives, baselines, metrics and data collection and analysis methods be in place from project commencement to ensure that data are captured reliably. Causal links between actions and outcomes, when coupled with relevant data, should be sufficiently direct to allow reliable (preferably quantifiable) deductions to be drawn about project and program effectiveness and efficiency. However there are situations where the conditions are far from this ideal but when it is nevertheless important to evaluate outcome performance objectively and to find ways to improve programs. This article outlines an approach to manage evaluations where: baseline data is deficient; cause-effect relationships are complicated; and project objectives are complex. The approach was applied to evaluate a program that provided public funding to support a diverse portfolio of community-based, on-ground invasive animal control projects. The approach used: explicit ex post theorising to distil testable hypotheses about effectiveness and project operation; mixed-methods data gathering and analysis; triangulation of different types of evidence; expert data gatherers; and careful attention to the policy objectives of the evaluation
Long-Term Increases in Trout Abundance following Channel Reconstruction, Instream Wood Placement, and Livestock Removal from a Spring Creek in the Blackfoot Basin, Montana
Environmental impacts of hydraulic fracturing in shale gas development in the United States
Incorporating perfluoroalkyl acids (PFAA) into a geochemical index for improved delineation of legacy landfill impacts on groundwater
Defining water-related energy for global comparison, clearer communication, and sharper policy
Screening climatic and non-climatic risks to Australian catchments
Emerging and future climatic change across the Australian continent has been
identified as a significant threat to the successful sustainable management of
the nation’s water resources. However, the impacts of climate change must be
viewed within the context of past, present and future climatic variability and
human agency. A qualitative screening-level risk assessment was undertaken for
Australia’s 325 surface water management areas by aggregating a suite of six
relevant risk indicators. Four indicators addressed the antecedent conditions
upon which future climate change will act. These included 50-year trends in
rainfall, the status of surface and groundwater development, and catchment
condition. Two indicators addressed future drivers of supply and demand;
specifically, projected changes in runoff and population. The results indicate that
the management challenges currently experienced in Australia’s population
centres and key agricultural areas such as the Murray-Darling Basin are likely to
increase in future decades. Furthermore, the geographic distribution of net risk,
inclusive of multiple biophysical and socioeconomic drivers, is more extensive
than is suggested by consideration of surface water development and availability
alone. Comparison of at-risk catchments with the spatial distribution of various
social and environmental assets identified a high degree of overlap among catchment
risk and human populations, water storages, irrigated agricultural land, and
wetlands of international significance. This suggests that the catchments of the
greatest value are also those judged to be at greatest risk. Though considerable
work remains in evaluating the security of Australia’s water resources to climatic
and other stressors, this study provides a first-order scheme for prioritising the
risks to which catchments are exposed and an assessment of how some key
drivers are likely to interact to drive risk
