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Earth Science | Human Dimensions | Environmental Impacts | Conservation

36 record(s)

 

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  • This report and its annexes present the results of the Torres Strait Conservation Planning Project (TSCPP). The goal of the project was to provide a knowledge base through the collation of marine data to allow for the conservation planning in the Torres Strait. The study used existing datasets and was guided by an advisory group - Torres Strait Conservation Planning Project Advisory Group (TSCPAG) - which included representatives of the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Environment Australia (EA), Queensland Department of Environment (QDoE), Australian Fisheries Management Authority (AFMA), TSRA, ICC and other recognised experts when required. The objectives/tasks of TSCPP were: · undertake a literature review and produce an annotated bibliography of Torres Strait data related to conservation planning including an assessment of utility of the data for conservation planning · assess marine datasets held by various agencies, in both digital, paper and textual form, for their scale, accuracy and relevance for conservation planning. Access and translate available marine data to appropriate formats and collate on the CSIRO GIS of Torres Strait · identify and where possible collate existing habitat maps, air photos and satellite imagery · in consultation with TSCPAG, undertake an analysis to derive an initial classification of the marine habitats of Torres Strait including developing criteria and methods for classification of marine data/marine habitats and producing maps relevant to conservation planning in Torres Strait · determine any major gaps in the database in the context of spatial scales agreed for conservation plan · in consultation with the TSCPAG, design and cost a field program to collect the necessary data for conservation planning in Torres Strait Refer to the report: Poiner I, Skewes T, Pitcher R, Taranto TJ and Long BG. (1997) Torres Strait Conservation Planning Project: Overview Report. October 1997. CSIRO Division of Marine Research, QLD, Australia.

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    KSN Project 2.2.2 provides key information on the oceanographic and biological forcing associated with nutrient supply that determines the near-shore productivity of the Kimberley region, and links these with higher trophic levels. Key objectives of the research were - To make new estimates of pelagic primary productivity, identifying the key physical and community processes driving production in the region. - To better describe the phytoplankton and zooplankton communities in coastal waters of the Kimberley, to determine the trophic linkages within these communities and to identify the key factors controlling pelagic secondary productivity. - To integrate these parameters into an extensible biogeochemical modelling framework, allowing predictive linkages between physical and biological processes in the region. This metadata records specifically relates to modelling aspects of the project completed by CSIRO. The data originates from a number of model simulations conducted between 3/1/2010 to 21/12/2010. All field data are held at Pawsey and RV Southern Surveyor and RV Solander.

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    A population survey of all sea cucumber species was carried out in east Torres Strait in January 2005. The survey was designed to provide information on the stock status of fished species and recovery of depleted species. Habitat data for comparison with previous years was also collected.

  • Dugong and turtle catch data, turtle sighting and laparoscope data stored for 220 individuals on Fox pro database

  • This study examined the cultural acceptability of various management options for dugongs and green turtles at Hammond Island in Torres Strait. Elders and hunters participated in semi-structured interviews to examine their perceptions about various management options for dugongs and green turtles for their community.

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    The dataset comprises sediment data for samples taken from box core deployments completed on research voyage SS 03/2005. The recorded sediment properties include gravel, sand, mud and carbonate content. The survey design was a natural experiment (i.e. control-impact, but not before-after) to test the long-term, broadscale effects of prawn fishing on non-target species and habitats. Deployments were stratified by fishing intensity (three strata) and day/night. The survey was repeated in three regions: (a) north of Groote Eylandt, (b) north-east of the Vanderlins, and (c) north of Mornington Island.

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    This record describes the WAMSI KMRP Project 2.2.8: Knowledge Integration and Management Strategy Evaluation (MSE) Modelling of the Kimberley Region. The project explores the possible and desired futures of the Kimberley region using two computer models, Ecopath with Ecosim (EwE) and ALCES. In this project the future is defined to 2050. EwE was used to characterise the trophic structure, ecosystem attributes and impact of fishing and climate change in the region. ALCES modelled terrestrial land-use and landscape dynamics and interfaced with the marine ecosystem dynamics (EwE) model to generate output on how these ecosystems interact and change over time. The purpose of using these models was to integrate existing and new knowledge about the Kimberley system and to provide an estimation of the likely impacts of different stressors on the land (ALCES) and marine (EwE) environments. This metadata record relates to the input and outputs for EwE and lists only the inputs form ALCES. Refer to the additional metadata description for details on the ALCES component.

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    The physical oceanographic environment of the morphologically complex Kimberley coast is globally unique with deep and narrow inlets and extensive island archipelagos interacting with a macrotidal regime. KSN Project 2.2.1 investigated the processes controlling physical variability (e.g. circulation and temperature variability) within the Kimberley’s shallow water macrotidal reef environments, including transport and exchange rates between reef and coastal waters. An intensive field study are conducted at Tallon Island between 22nd March 2014 to 13 April 2014. A number of moorings were placed on the tidal reef flats. Consisting of Acoustic Doppler Velocimeters, temperature loggers and an Acoustic Wave and Current Meter (AWAC) An RTK bathymetry survey was also conducted over a number of days during the field program. A weather station was also deployed on a scaffold tower in the intertidal area. Weather station measured was used to measure wind speed, air temperature, solar radiation and barometric pressure. Data associated with this metadata record pertains to 4 Nortek Vectors deployed on the reef and a weather station mounted on in the lagoon.

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    The dataset comprises catch records of infauna from box core deployments completed on research voyage SS 03/2005. The survey design was a natural experiment (i.e. control-impact, but not before-after) to test the long-term, broadscale effects of prawn fishing on non-target species and habitats. Deployments were stratified by fishing intensity (three strata) and day/night. The survey was repeated in three regions: (a) north of Groote Eylandt, (b) north-east of the Vanderlins, and (c) north of Mornington Island. The number of deployments completed as part of the natural experiment was 123.

  • This study trialled community-based catch-monitoring strategies for dugongs and green turtles in two communities (Hammond and Thursday Islands) in the Kaiwalagal region (inner islands) of Torres Strait. Hunters completed datasheets after each hunting trip and these were collected weekly by Indigenous catch-monitors employed on the project. The catch-monitoring program was evaluated in terms of the reliability of the informaition collected and the suitability of the method to the communities. The information collected included biological information about the composition of the catch (e.g. sex ratio, size distribution, reproductive status), selectivity of the green turtle catch, catch-effort, catch-gear and the uses for which dugongs and turtles were hunted. The participating communities can use the information in future management of dugongs and green turtles in their communities.