Data
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/75/58d1f02d5ac30&rft.title=WAMSI 2 - Kimberley Node - Project 1.1.3 - Ecological connectivity of Kimberley marine communities (ECU - AIMS) [dataset]&rft.identifier=http://catalogue.aodn.org.au/geonetwork/srv/eng/metadata.show?uuid=fb1d80bf-6ef2-4150-9479-22b4240435a7&rft.publisher=Edith Cowan University&rft.description=The overarching objective is to infer the routine distances of dispersal and patterns of connectivity among key populations within the Kimberley. Nine sub-projects will address this objective. The data provided by these methods are complimentary, and each improves the others. The projects and objectives can be summarised as: - Existing samples and desktop study - Genetic analyses - Coral stock-recruitment and larval durations - Fish otolith microchemistry Genotypes data have been generated from seven marine organisms: 1. Tectus niloticus - gastropod (CSIRO) 2. Pomacentrus milleri - fish (CSIRO) 3. Lutjanus carponotatus - fish (CSIRO) 4. Halophila ovalis - seagrass (ECU) 5. Thalassia hemprichii - seagrass (ECU) 6. Isopora brueggmanni - coral (AIMS) 7. Acropora aspera - coral (AIMS) There is a CSIRO metadata record that describes data for Tectus niloticus; Pomacentrus milleri and Lutjanus carponotatus (http://www.marlin.csiro.au/geonetwork/srv/eng/search# !0d389dab-d6e2-4895-ba09-389e689b565e) Spatial representation type : Vector: vector data is used to represent geographic data StereoModel: three-dimensional view formed by the intersecting homologous rays of an overlapping pair of images Geographic bounding : North bound: -16.00000, West bound: 123.50000, East bound: 122.70000, South bound:-16.70000&rft.creator=Glenn Moore&rft.creator=James Gilmour&rft.creator=Jean-Paul Hobbs&rft.creator=Jim Underwood&rft.creator=Kathryn McMahon&rft.creator=McMahon, Kathryn&rft.creator=McMahon, Kathryn&rft.creator=Michael Stat&rft.creator=Michael Travers&rft.creator=Oliver Berry&rft.creator=Zoe Richards&rft.date=2017&rft.relation=http://www.wamsi.org.au/sites/wamsi.org.au/files/files/1_1_3%20presentation%20slides%20Berry_McMahon_Underwood_1_1_3_19Aug2016.pdf&rft.relation=https://wamsi.org.au/project/connectivity/&rft.relation=https://ro.ecu.edu.au/ecuworkspost2013/10235/&rft_rights= http://creativecommons.org/licenses/by-sa/2.5/au&rft_subject=Biosphere&rft_subject=Ecological Dynamics&rft_subject=Population Dynamics&rft_subject=Oceans&rft_subject=Marine Biology&rft_subject=Fish&rft_subject=Species Recruitment&rft_subject=Zoology&rft_subject=Corals&rft_subject=OCEANOGRAPHY&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

Contact Information

James Gilmour: j.gilmour@aims.gov.au

Full description

The overarching objective is to infer the routine distances of dispersal and patterns of connectivity among key populations within the Kimberley. Nine sub-projects will address this objective. The data provided by these methods are complimentary, and each improves the others. The projects and objectives can be summarised as:

- Existing samples and desktop study

- Genetic analyses

- Coral stock-recruitment and larval durations

- Fish otolith microchemistry

Genotypes data have been generated from seven marine organisms:

1. Tectus niloticus - gastropod (CSIRO)

2. Pomacentrus milleri - fish (CSIRO)

3. Lutjanus carponotatus - fish (CSIRO)

4. Halophila ovalis - seagrass (ECU)

5. Thalassia hemprichii - seagrass (ECU)

6. Isopora brueggmanni - coral (AIMS)

7. Acropora aspera - coral (AIMS)

There is a CSIRO metadata record that describes data for Tectus niloticus; Pomacentrus milleri and Lutjanus carponotatus (http://www.marlin.csiro.au/geonetwork/srv/eng/search# !0d389dab-d6e2-4895-ba09-389e689b565e)

Spatial representation type :

Vector: vector data is used to represent geographic data

StereoModel: three-dimensional view formed by the intersecting homologous rays of an overlapping pair of images

Geographic bounding :

North bound: -16.00000, West bound: 123.50000, East bound: 122.70000, South bound:-16.70000

This dataset is part of a larger collection

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133.77514,-25.2744

133.775136,-25.274398

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