AndreaBozzo/ceres-open-data-index huggingface dataset:
Torres Strait Dugong Sanctuary 2003 (TSRA)

This dataset shows the extent of the dugong sanctuary in the Torres Strait which prohibits the taking of dugong (area, gear and method restrictions). 

The dugong sanctuary is a legislative boundary which is outlined in the Torres Strait Fisheries Management Notice No. 65 http://www.comlaw.gov.au/Details/F2007B00345 .

This dataset is for research purposes and is not authoritative. Refer to the legislation for the authoritative definition of the sanctuary.

Tags: Dugong, Fishery, Human Dimensions | Boundaries | Administrative Divisions, Sanctuary, TS-eAtlas, marine
Organization: Australian Ocean Data Network
NESP MaC Project 4.11 - Scaling-up long-term seagrass restoration in the Cocos (Keeling) Islands, 2024-2026 (JCU)

This record provides an overview of the NESP Marine and Coastal Hub study - Scaling-up long-term seagrass restoration in the Cocos (Keeling) Islands. For specific data outputs from this project, please see child records associated with this metadata.

There is an urgent community-driven need to develop appropriate seagrass restoration approaches at scale for the Cocos (Keeling) Islands (CKI). Fast-tracking larger-scale restoration research is required to prevent imminent collapse and functional extinction of seagrasses at CKI due to past disturbance and current green turtle grazing pressure. This project builds on pilot studies to design and establish a network of larger-scale turtle exclusion areas where locally appropriate restoration approaches can be refined. At the same time, this will provide “seagrass refuges” to initiate recovery, monitor ecological effects, and provide for future restoration efforts. The project has been co-developed with the CKI community and Parks Australia, addressing their highest research priority identified in the newly established Cocos (Keeling) Islands Marine Park. The project will provide an action plan for ongoing interventions and strategies to future-proof local seagrasses and support seagrass-dependent species, such as green turtles and fish, in the long term.

Planned Outputs
 • exclusion zones experimental data [spatial &amp; tabular dataset]
 • environmental monitoring dataset [tabular data]
 • Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]

Tags: National Environmental Science Program Marine and Coastal (NESP MaC) hub, marine
Organization: Australian Ocean Data Network
NESP MaC Project 1.29 c – Defining a pathway for the operational use of emerging technologies on country. (2022) (NAILSMA)

This record provides an overview of the NESP Marine and Coastal Hub small-scale study - Defining a pathway for the operational use of emerging technologies on country. 

Marine and coastal impacts in northern Australia occur overwhelmingly on Indigenous managed land.  However, the collection, analysis and use of data to support adaptive management of the threats to these important ecosystems is dominated by external organisations.  Existing monitoring solutions rely on trust in the training and expertise of the people collecting the data.  The appropriate use of technology and associated training for Indigenous practitioners, coupled with software and hardware development, offers an alternative for Indigenous organisations and funders to deliver environmental, social and cultural impacts in northern Australia.  

NAILSMA and its partners have been engaged in activities that seek to develop ethical and inclusive technology solutions that enable Indigenous organisations new opportunities to maximize the participation and leadership in activities that support the management of threats to ecosystems across northern Australia.  

Planned Outputs
 • Final technical report with analysed data and a short summary of recommendations for policy makers of key findings [written]

Tags: Coastal Waters (Australia), MARINE, National Environmental Science Program (NESP) Marine and Coastal Hub, marine
Organization: Australian Ocean Data Network
NESP TWQ Project 4.12 - Measuring cost-effectiveness and identifying key barriers and enablers of lasting behavioural change in the cane industry., 2018-2020 (GU)

This project aims to develop methodologies for assessing cost-effectiveness and identifying key drivers of variation in cost-effectiveness in challenging data situations. It will use these methods to evaluate the cost-effectiveness of various completed programs aimed at reducing nitrogen runoff from cane production in Reef catchments. Additionally, the project will identify key barriers and enablers of engagement and lasting behavioral change within recent and current programs. It will compare and contrast different evaluation methods to create an adaptive management evaluation tool for measuring engagement during ongoing programs. Ultimately, the project seeks to inform future investment decisions by identifying characteristics of cost-effective projects that successfully engage stakeholders and promote lasting behavior change.

In summary, this project will:



Develop methodologies for assessing cost-effectiveness and for identifying key drivers of variation in cost-effectiveness in data-challenging situations 

Use developed methods to evaluate the cost-effectiveness of a range of completed programs for reducing nitrogen runoff from cane production in Reef catchments

Within recently-completed and current programs, identify key barriers and enablers of:
  a. Engagement
  b. Lasting behavioural change

Compare and contrast evaluation methods (targeted individual approach compared and contrasted with a within project stakeholder approach) to deliver an adaptive management evaluation tool for measuring engagement whilst programs are on-going.

Inform future investment decisions by helping to identify key characteristics of cost-effective projects that will successfully engage stakeholders to deliver lasting behaviour change.


Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
[SUPERSEDED] Australia's network of Commonwealth Marine Reserves 2014 (DCCEEW)

This dataset is not the current marine park zoning. It is retained here for historic purposes. See http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BCD8877F3-8C39-4A20-A53F-070FBEE5AF3C%7D for current zoning.

Consistent with the Australian Government's commitment to develop a National Representative System of Marine Protected Areas (MPAs), networks of Commonwealth Marine Reserves have been proclaimed for Commonwealth waters across the South-west, North-west, North, Coral Sea and Temperate East Marine Regions. These networks build on previous Marine Protected Area proclamations, including the South-east network declared in 2007.

This dataset is released under Creative Commons by Attribution-NonCommercial 3.0 Australia (CC BY-NC 3.0).

IMPORTANT INFORMATION FOR MARINE USERS
Transitional arrangements apply to the South-west, North-west, North and Temperate East Networks and the Coral Sea reserve, until management plans come into effect. These arrangements involve NO CHANGES ON THE WATER for marine users. Note, there are no changes to management arrangements in the marine reserves that existed prior to the establishment of the new reserves, that is, the same restrictions on activities will continue to apply even where those reserves have been incorporated into new reserves. The South-east Network of Commonwealth Marine Reserves is managed under the South-east Commonwealth Marine Reserves Network Management Plan 2013-23, in place from 1 July 2013. More information is available at www.environment.gov.au/marinereserves

This data contains spatial and contextual information about Commonwealth Marine Reserves under the jurisdiction of the Commonwealth governments Environment Protection and Biodiversity Conservation Act 1999, which are managed by the Australian Government Department of the Environment. It does not include data on MPA's in other Australian jurisdictions (e.g. the Great Barrier Reef Marine Park, State/Territory parks), or Terrestrial Protected Areas with marine components (eg Pulu Keeling National Park).

This is an extract of the full metadata record supplied by the Department of the Environment with this dataset. See http://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B0435E716-1798-467C-8F43-E0CB6B32E8EF%7D

for more information.

eAtlas Change Log:
2023-04-04 - Marked the metadata as superseded. Fixed the link to the official data download. Updated the modification date. Changed the copyright from '© Commonwealth of Australia, Australian Government Department of the Environment, 2014' to the current '© Commonwealth of Australia, Australian Government Department of Climate Change, Energy, the Environment and Water, 2014'. Copied over additional lineage. Corrected the licensing from CC BY-NC 2.5 to CC BY-NC 3.0

eAtlas notes:
This dataset is cached in the eAtlas enduring data repository at: data\non-custodian\pre-2015\AU_DotE_Comm-marine-reserves-2014

Organization: Australian Ocean Data Network
NERP TE Project 8.3 - Significance of no-take marine protected areas to regional recruitment and population persistence on the GBR, 2011-2014 (JCU)

This project uses genetic parentage analysis, biophysical modelling and information on coral trout larval behaviour to determine patterns of recruitment of coral trout larvae within and among inshore and offshore reefs in the southern Great Barrier Reef. The overall goal of this project will be to assess larval dispersal patterns, demographic connectivity and levels of recruitment subsidies from green zones at a regional scale. Tasks include:





Collect tissue samples from adult and juvenile coral trout, develop a new set of hyper-variable microsatellite markers, conduct DNA genotyping analyses of all samples, carry out genetic parentage analysis to examine parent-offspring relationships.




Refine the existing biophysical model and assess likely origins of larvae at key recruitment hot spots in the region.




Undertake demographic metapopulation analyses using dispersal distances and trajectories derived from this study and available demographic data (growth, natural mortality, fishing mortality) to evaluate long-term persistence of green zone and blue zone populations under different levels of fishing pressure and habitat condition.



Tags: National Environmental Research Program Tropical Ecosystems Hub, marine
Organization: Australian Ocean Data Network
NESP TWQ Project 3.7 - Monitoring the effects of zoning on coral reefs and their associated fish communities in the GBR Marine Park, 2015-2015 (AIMS)

This project describes the activities of the AIMS long-term program to monitor the effects of zoning on coral reef communities in the period July-October 2015. 



In that period there will be one survey trip (out of four made annually) to the southern GBR (Capricorn-Bunker and Swain Reefs) using the RV Cape Ferguson. As well as forming part of the long-term program, these reefs are interesting as they are recovering from the effects of severe storms, notably TC Hamish in 2009.

Initial findings will be reported to stakeholder via a “Survey update”, with more comprehensive reporting when surveys of reefs in all regions are complete. (June 2016)


Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Microsatellite multiplexes for parentage analysis and species discrimination in coral trout (NERP TE 8.3, JCU)

This dataset demonstrates the suitability of microsatellite markers to discriminate between species of coral trout (Plectropomus spp.) and identify parent-offspring relationships in natural populations.

A total of 285 adult P. leopardus collected from the Capricorn Bunkers and 285 adult P. maculatus from the Keppel islands were genotyped at 25 microsatellite loci. Each locus was also tested on 7 additional species within the genus. The multiplex PCRs developed here provide a reliable and cost-effective strategy to investigate the evolutionary and ecological dynamics of coral trout.

Microsatellite loci are commonly used in ecology to measure genetic variability within and among populations. Their high allelic diversity and relative ease of development also make them ideal for individual genotyping to assist in species identification, to uniquely identify individuals and to infer phylogenetic or genealogical relationships. In the marine environment, these genetic tools may be the only means to measure important ecological processes such as larval dispersal, adult migrations and reproductive success. However, applying these methods accurately can require numerous, highly polymorphic markers and optimised PCR multiplexes can maximise the cost-effectiveness of using microsatellites.

Methods:

Microsatellite loci were identified from a microsatellite-enriched cloning library developed for P. maculatus and 454 pyrosequencing libraries for both P. leopardus and P. maculatus. The isolation of microsatellite loci, their integration to multiplex PCR and suitability for species discrimination can be found in Harrison et al. (2014).

Limitations:

This datasets is intended for the purpose of describing the suitability of microsatellite markers for species discrimination and parentage analysis in P. leopardus and P. maculatus.

Format:

Excel file includes:



Microsatellite data

Individual identifier

Species name



25 codominant microsatellite loci




Description of 25 microsatellite loci


Locus name

Forward primer sequence

Reverse primer sequence

Genbank digital repository accession number

Library microsatellite were isolated from

PCR multiplex dye label

Repeat motif

PCR reaction concentration



Size range




Locus characteristics for P. leopardus and P. maculatus


Locus name

Number of alleles per locus

Observed heterozygosity

Expected heterozygosity

Hardy-Weinberg equilibrium

Probability of exclusion



Cumulative probability of exclusion




Locus transferability inPlectropomus spp.


Locus name

Number of samples tested

Number of observed alleles

Size range


References:

Harrison HB, Feldheim KA, Jones GP, Ma K, Mansour H, Perumal S, Williamson DH and Berumen ML (2014). Validation of microsatellite multiplexes for parentage analysis and species discrimination in two hybridizing species of coral reef fish (Plectropomus spp., Serranidae”. Ecology and Evolution, DOI: 10.1002/ece3.1002

Tags: marine
Organization: Australian Ocean Data Network
NERP TE Project 11.2 - Improved approaches for detection of disease and prevention of spread in Torres Strait, 2011-2014 (JCU)

This project focuses on improving methods to detect the introduction of exotic animal diseases into the Torres Strait. The researchers will examine the environmental factors that influence the establishment and persistence of wildlife diseases in the region. They will study insect disease vectors and the incidence of disease in birds in a range of habitats in order to identify where disease risk is greatest. Field studies will be conducted using replicated mosquito trapping and mist netting of birds in Torres Strait, at sites identified from previous projects.
Outcomes include:





Developing a model of disease dynamics across the Torres Strait based on past and ongoing epidemiology and ecological studies on vectors, reservoir hosts and known disease prevalence including the influence of inter-island and PNG traffic on insect vectors.




Undertake a fieldwork program that tests and improves upon our understanding (the model) of how diseases are maintained and dispersed across the islands.




Use the results to identify appropriate responses for minimizing the risks associated with disease incursion.




Develop capacity in north Queensland in the identification and sampling of vectors and diseases



Tags: National Environmental Research Program Tropical Ecosystems Hub, marine
Organization: Australian Ocean Data Network
eAtlas Web Mapping Service (WMS) - Legacy MTSRF Server (AIMS)

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the legacy WMS. This service was decommissioned on in Jan 2024.

This service delivered map layers associated with the eAtlas project (https://eatlas.org.au), and contained map layers of environmental research focusing on the Great Barrier Reef. The majority of the layers corresponding to Glenn De'ath's interpolated maps of the GBR developed under the MTSRF program (2008-2010).

This web map service was predominantly maintained for the no decommissioned legacy eAtlas map viewer (https://maps.eatlas.org.au/geoserver/www/map.html). 

This WMS service was implemented using GeoServer version 1.7 software hosted on a server at the Australian Institute of Marine Science. 

Note: this service had around 460 layers of which approximately half the layers correspond to Standard Error maps, which were WRONG (please ignore all *Std_Error layers).

This services was operated by the Australian Institute of Marine Science and co-funded by the MTSRF program.

More details about this service is described on the eAtlas Legacy System webpage https://eatlas.org.au/content/legacy-mapping-system

Tags: GeoServer, WMS, Web Mapping Service
Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - MODIS - 01 day - Picoplankton fraction (OC3 model and Brewin et al 2012 algorithm)

The Aqua satellite platform carries a MODIS sensor that observes sunlight reflected from within the ocean surface layer at multiple wavelengths. These multi-spectral measurements are used to infer the concentration of chlorophyll-a (Chl-a), most typically due to phytoplankton, present in the water. An empirical relationship is then used to compute an estimate of the relative abundance of three phytoplankton size classes (micro, nano and picoplankton). 

The methods used to decompose chl_oc3 are described by Brewin et al in two papers in 2010 and 2012. The two methods, denoted Brewin2010at and Brewin2012in, used calibration data from the Atlantic and Indian Oceans respectively.  Users should note that these are unvalidated experimental products and they should familiarise themselves with the underlying algorithms and methodologies described in the published literature before making use of them.

The data are produced from the same data stream as the MODIS Chla_oci data set (https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/d7a14921-8f3f-4522-9a54-e7d1df969c8a). 

Data are provided as two files per day, one with the percentage of nanoplankton, and one for picoplankton. The percentage of microplankton is computed as the balance to 100%, that is %micro = 100 - %nano - %pico.

Production of contemporary MODIS data ceased at 2024/12/26. Users requiring similar Ocean Colour Radiometry data beyond 2024 should consider the VIIRS instruments on the SNPP and NOAA20+ series of satellites, also provided by IMOS.

Tags: Countries | Australia, Countries | Fiji, Countries | Indonesia, Countries | Malaysia, Countries | New Caledonia, Countries | New Zealand, Countries | Papua New Guinea, Countries | Philippines, Countries | Singapore, Countries | Thailand, Countries | Timor-Leste, Countries | Vanuatu, Countries | Vietnam, Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Global / Oceans | Southern Ocean, Marine Features (Australia) | Bass Strait, TAS/VIC, Marine Features (Australia) | Great Australian Bight, SA/WA, Marine Features | Strait of Malacca, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Optics | Ocean Color, Regional Seas | Andaman Sea, Regional Seas | Arafura Sea, Regional Seas | Banda Sea, Regional Seas | Celebes Sea, Regional Seas | Coral Sea, Regional Seas | Gulf of Thailand, Regional Seas | Java Sea, Regional Seas | Philippine Sea, Regional Seas | Solomon Sea, Regional Seas | South China Sea, Regional Seas | Tasman Sea, Regional Seas | Timor Sea, States, Territories (Australia) | New South Wales, States, Territories (Australia) | Northern Territory, States, Territories (Australia) | Queensland, States, Territories (Australia) | South Australia, States, Territories (Australia) | Tasmania, States, Territories (Australia) | Victoria, States, Territories (Australia) | Western Australia
Organization: Australian Ocean Data Network
Distribution and abundance of spectacled flying-foxes, Pteropus conspicillatus, in the Wet Tropics Region 2011 - 2014 (NERP TE 3.4, CSIRO)

This data set shows the occupancy and size of spectacled flying-fox camps across the distribution of the spectacled flying-fox in the Wet Tropics Region.  Camp locations are also provided.  Data was collected monthly and all camps in the region were monitored each month.

This data was collected to provide information on the dynamics in abundance and distribution of the spectacled flying-fox.  It is part of a long term monitoring program that has been running since 2004. For further information see the publicaton:
Tait, J., Perotto-Baldivieso, H. L., McKeown, A., &amp; Westcott, D. A. (2014). Are Flying-Foxes Coming to Town? Urbanisation of the Spectacled Flying-Fox (Pteropus conspicillatus) in Australia. DOI: 10.1371/journal.pone.0109810

This dataset is a subset of the complete time series corresponding to the collection period of the NERP TE program, from June 2011 - Oct 2014.

Methods:

Monthly surveys were conducted as daytime ground counts and followed the methodology outlined for the National Flying-fox Monitoring Program (Westcott et al. 2011; http://www.environment.gov.au/system/files/pages/391f5fed-e287-4dd3-85ac-640037926ef5/files/310112-monitoring-methodology.pdf).  Surveys were conducted by a single surveyor.  All camps were surveyed over a 2-3 day period.

Limitations:

This data covers the ‘counted’ population only.  An unknown and variable proportion of the population roost in unknown locations.

Format:

The data is provided as a 28 kb Excel file with camp names, latitude and longitude of camp location and columns for each survey month.  Camps are never dropped from the survey so blanks represent camps with no spectacled flying-foxes present during the survey.

References:

Westcott D. A. &amp; McKeown A. (2004) Observer error in exit counts of flying-foxes (Pteropus spp.). Wildl. Res. 31, 551-8.

Westcott D. A., McKeown A., Murphy H. T. &amp; Fletcher C. S. (2011) A monitoring method for the greyheaded flying-fox, Pteropus poliocephalus.  A report to the Commonwealth Department of Sustainability, Environment, Water, Population and Communities.   p. 58. CSIRO Ecosystem Sciences, Atherton, Australia.

Westcott D. A., Fletcher C. S., McKeown A. &amp; Murphy H. T. (2012) Assessment of monitoring power for highly mobile vertebrates. Ecol. Appl. 22, 374-83.

Organization: Australian Ocean Data Network