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Showing results for: [ Environmental Impact Assessment ]
Context: While the impact of seismic surveys on marine mammals has been well studied, there has been little work on zooplankton. The study by McCauley et al. (2017) published on the 23 June 2017 is th... moree first large-scale field experiment on the impact of seismic activity on zooplankton. Their study overturns the conventional idea of limited and localised impact on zooplankton. They found that air gun exposure significantly decreased zooplankton abundance, and increased the mortality rate from a natural level of 19% per day to 45% per day (on the day of exposure). These impacts were observed out to the maximum assessed range of 1.2 km. McCauley et al. (2017) state that there is an urgent need to conduct further study to mitigate, model and understand potential impacts on plankton. Methods: Here we simulate the large-scale impact of a seismic survey on zooplankton, assuming the mortality rate associated with air gun exposure reported by McCauley et al. (2017). Our approach models a hypothetical survey on the edge of the Northwest Shelf during summer. The survey area was 80 km by 36 km in water 300-800 m deep and the simulation was conducted over a 35-day period,. To simulate the movement of zooplankton by currents, we used a hydrodynamic model that seeded 0.5 million particles into CSIRO’s Ocean Forecast Australia Model. Zooplankton particles could be hit multiple times by the air gun if they were carried by currents into the future survey path. Each particle represents a zooplankton population exhibiting logistic population growth. The greatest limitation in this approach was accurate knowledge of the natural growth and mortality rates of zooplankton. We thus tested the sensitivity of the model to different recovery (growth-mortality) rates, and also the sensitivity of our results to ocean circulation by undertaking simulations with and without water motion. We report the relative zooplankton biomass in our simulations – the ratio of zooplankton biomass following a seismic survey relative to biomass in the absence of a survey, from 0 (all dead) to 1 (no impact). We report results on four regions relevant to management and of varying size. Results: Simulations that included ocean circulation showed that the impact of the seismic survey on zooplankton biomass was greatest in the Survey Region (0.78, i.e., 22% of the zooplankton biomass was removed) and declines moving to the Survey Region + 15 km (0.86), and the Survey Region + 150 km regions (0.98, see Table for values); there was no discernible effect on the entire Northwest Shelf Bioregion. The time to recovery (to 95% of the original level) for the Survey Region and Survey Region + 15 km recovery was 39 days (38-42 days) after the start of the survey and 3 days (2-6 days) after the end of the survey. Simulations with no ocean circulation showed a much greater impact of the seismic survey on relative zooplankton biomass: 0.65 for the Survey Region; 0.78 for the Survey Region + 15 km; 0.97 (0.97-0.97) for the Survey Region + 150 km; and no discernible effect on the entire Northwest Shelf Bioregion. The time to recovery for the Survey Region from the start of the survey was 64 days (49-100 days) and from the end of the survey was 26 days. Discussion: Applying the mortality rate from McCauley et al. (2017), we found considerable impact within the seismic survey area and within 15 km of it. However, these impacts are not discernible at the largest scale of the Northwest Shelf Bioregion and are barely discernible within 150 km of the survey area. Zooplankton populations recovered quickly after seismic exposure due to their fast growth rates, and the dispersal and mixing of zooplankton from both inside and outside of the impacted region. Finally, we make suggestions about how future studies could be designed and optimized using tools developed in the current study – to test the findings of McCauley et al. (2017).less
Coastal Development & Mgt - IP Costs - Potential impacts on zooplankton of seismic surveys - Published 20 Jul 2017
This collection provides additional analyses, figures and tables for an integrated risk assessment of natural, cultural and economic assets in the Kakadu Region of northern Australia, from the combine... mored threats of invasive species (feral animals & aquatic weeds) and climate change induced sea level rise saltwater inundation. It addresses cumulative multiple risks to multiple values over different time frames (Present-day, 2070 & 2100).less
Legacy data - Modelling - Published 25 Sep 2017
Reconstructed sea-surface heights for 1950 to 2001 as described in Church et al. (2004), except that it has been extended to the end of 2001. Briefly, this data set is: - near-global (65°S to 65°N) fr... moreom January 1950 to December 2001 on a 1° × 1° × 1 month grid - seasonal signal removed - inverse barometer correction made - GIA (Mitrovica) correction made to tide gauge data
Updated to 2012 following Church and White (2011).less
3.3 ACCSP-SL change, storm surge - ACCSP - Published 19 Oct 2017
This file contains the monthly Global Mean Sea Level (GMSL) time series as described in Church and White (2011).
3.3 ACCSP-SL change, storm surge - ACCSP - Published 13 Dec 2016
This file contains the monthly Global Mean Sea Level (GMSL) time series as shown on figure 2 of Church and White (2006). The sea level was reconstructed as described in Church et al (2004).
3.3 ACCSP-SL change, storm surge - details - Published 13 Dec 2016
16S rRNA gene amplification and sequencing were performed to assess the effects of uranium on sediment microbial communities. A total of 12 treatments along a uranium concentration gradient of 0 - 4,0... more00 mg/kg were interrogated, with four replicates per treatment. Data here include: raw MiSeq sequences (paired-end 250 base reads) as well as a mapping file for demultiplexing and a fasta file containing sequences of OTUs not deposited at DDBJ/ENA/GenBank (due to poor sequence similarity with existing entries). less
Estuarine Health Assessment - Next generation sequencing - Published 13 May 2016
A global map of 5 land use types at 30s (approx. 1km) resolution for 2005. The data set was generated through the statistical downscaling of the Land-use Harmonisation data set (Hurt et al 2011) at ht... moretp://luh.umd.edu/. Five land use types (primary, secondary, pasture, crop, urban) are provided as separate raster layers, with the value of each cell representing the proportion of the grid cell occupied by that land use type. An additional layer representing cells defined as permanent ice (value of 1) is also provided.less
1173.3 Strat: WPC Global Prot Area Ass - Land-use downscaling - Published 04 Apr 2016
This is an application of the Spark framework configured for command-line use on a server.
Design, validate and employ custom fire propagation models, using Spark’s computational fire-front propagati... moreon solver. Incorporate any number of modules specifically designed for wildfire spread, including readers and writers for geospatial data and a wide range of visualisations and tools to analyse the resulting data.less
Natural Hazards and Infrastruture - Spark Batch Demo - Published 03 Mar 2017
This is an application of the Spark framework configured for interactive use through a graphical user interface on a personal computer.
Design, validate and employ custom fire propagation models, usi... moreng Spark’s computational fire-front propagation solver. Incorporate any number of modules specifically designed for wildfire spread, including readers and writers for geospatial data and a wide range of visualisations and tools to analyse the resulting data.less
Natural Hazards and Infrastruture - Spark GUI demo - Published 03 Mar 2017
Amicus is a multi-platform computer application developed by CSIRO that enables the easy calculation of expected fire behaviour from burning conditions that you enter. It synthesises our current knowl... moreedge for predicting the behaviour and spread of bushfires in a range of vegetation types as well as providing simple calculations of expected fire danger.
This is a beta release for public evaluation.less
Natural Hazards and Infrastruture - Amicus beta release - Published 20 Dec 2016
The data set comprises trace element concentration data obtained through a series of leach tests applied to a set of eight Australian coals samples. Raw data (triplicate measurements) for the leach te... morests are reported. The leach tests were carried using the following extractants: dilute hydrochloric acid, pH 5 buffer with citrate added, pH 7 buffer and pH 7 buffer with citrate added.less
NICNAS Collaboration-Environ fate - Leach tests - Published 17 Oct 2015
This collection provides PIRI as a software tool to assess environmental impact of pesticides, especially via their impact on water quality, and provide safer choices of pesticides products.
The soft... moreware has been written in Tcl/Tk but is compiled to make it a platform free application and therefore does not require any particular program to run it.
The downloadable version of the software package is a zipped package that includes an executable file, together with a data folder with input data files. A tutorial file is also included.
A fact sheet on the application of PIRI is available under "Supporting Materials" and two research papers describing the science underpinning the PIRI risk indicator and a report on its cost: benefit analysis are available under "Related Materials".
Please note there are two versions of the software: English and Spanish. The data is located in two separate folders.
Please register your details using the form (in English/Spanish) available under "Related Materials" before downloading the data.
Legacy data - Minimising environmental impact of pesticides - Published 06 Feb 2017
eDNA metabarcoding was performed to assess the effects of copper on the establishment of the benthic eukaryote community within a series of environmentally relevant copper contaminated fresh... morewater mesocosms. The data is obtained from a recolonization experiment contained five treatments : control (C) and four sediment copper concentrations (very low (VL), low (L), high (H) and very high (VH)), each with four replicates. The data represents samples obtained on seven occasions subsequent to the experiment being established: 15, 31, 135, 161, 365, 407 and 497 days.
Details on the experimental design are available in:
Gardham, S., G. C. Hose, S. L. Simpson, C. Jarolimek, and A. A. Chariton. 2014. Long-term copper partitioning of metal-spiked sediments used in outdoor mesocosms. Environmental Science and Pollution Research 21:7130-7139.
1177.2 Estuarine Health Assessment - Experiment - Published 29 Sep 2014
125 samples of benthic eukaryotic communities from SE Queensland. Samples were collected from the Noosa, Maroochydore, Pine, Logan and Currumbin estuaries in February 2010. Five sites per estuary, wit... moreh 5 samples per site.
18S rRNA using the following primers:
All18SF-TGGTGCATGGCCGTTCTTAGT and All18SR-CATCTAAGGGCATCACAGACC
1177.2 Estuarine Health Assessment - Experiment - Published 22 Jan 2014
This dataset depicts a national map of available ASS mapping and ASS qualification inferred from surrogate datasets. ASS mapping is classified with a nationally consistent legend that includes risk as... moresessment criteria and correlations between Australian and International Soil Classification Systems.
Existing digital datasets of ASS mapping have been sourced from each coastal state and territory and combined into a single national dataset. Original state classifications have been translated to a common national classification system by the respective creators of the original data and other experts. This component of the Atlas is referred to as the “Coastal” ASS mapping. The remainder of Australia beyond the extent of state ASS mapping has been “backfilled” with a provisional ASS classification inferred from national and state soils, hydrography and landscape coverages. This component is referred to as the “Inland” ASS mapping.
For the state Coastal ASS mapping, the mapping scale of source data ranges from 1:10K aerial photography in SA to 1:250K vegetation mapping in WA and NT, with most East coast mapping being at the 1:100K scale. For the backfilled inferred Inland ASS mapping the base scale is 1:2.5 million (except Tas.) overlaid with 1:250k hydography. As at 06/08, the Tasmanian inland mapping has been re-modelled using superior soil classification map derived from 1:100k landscape unit mapping.
NOTE: This is composite data layer sourced from best available data with polygons depicted at varying scales and classified with varying levels of confidence. Great care must be taken when interpreting this map and particular attention paid to the “map scale” and confidence rating of a given polygon. It is stressed that polygons rated with Confidence = 4 are provisional classifications inferred from surrogate data with no on ground verification. Also some fields contain a “-“, denoting that a qualification was not able to be made, usually because a necessary component of source mapping coverage did not extend to the given polygon.less
Legacy data - Australian Soil Resource Information System - Published 28 Feb 2013
Roche 454 FLX Titanium produced 18S rDNA amplicons derived from an experiment which examined the vertical migration of benthic biota through triclosan contaminated surficial sediments.
The primers u... moresed were 18S SSU_F04 (5’-GCTTGTCTCAAAGATTAAGCC-3’) and 18S SSU_R22 (5’-GCCTGCTGCCTTCCTTGGA-3’)
The study contained four treatments The treatments were: 1) Field Control with no sediment added; 2) Triclosan Control with reference sediment added from Long Island Sound (LIS); 3) Low Triclosan (30 mg triclosan/kg dry LIS sediment); and 4) High Triclosan (300 mg triclosan/kg dry LIS sediment ).
1177.2 Estuarine Health Assessment - Experiment - Published 11 Dec 2012