Data

North West Shelf Joint Environmental Management Study:InVitro Inputs - Parameter estimation

Australian Ocean Data Network
CSIRO O&A, Information & Data Centre (Point of contact) CSIRO Oceans & Atmosphere - Hobart (Associated with)
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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=https://marlin.csiro.au/geonetwork/srv/eng/catalog.search#/metadata/1625b271-53a4-4041-8b98-f94fce2c63e3&rft.title=North West Shelf Joint Environmental Management Study:InVitro Inputs - Parameter estimation&rft.identifier=Anzlic Identifier: ANZCW0306006570&rft.publisher=Australian Ocean Data Network&rft.description=For continental shelf reef habitat the base-case parameters for the habitat equations were determined by least squares optimization. The Simplex method of minimising the sum of squares was used to fit the model to the benthos observations, with some parameters constrained to a biologically meaningful range. For the seagrass, macroalgae and mangrove habitats there was considerably less information available from which to estimate madel parameters. For these habitats the base-case parameters for the habitat equations were determined from expert information and heuristic fitting to available data on historical cover and distributions. The pessimistic and optimistic parameterisations were determined by considering the extremes of the relevant parameters in the literature and by exploring the dynamics of the system in the parameter space around the base case results. The pessimistic parameters were selected so that the impact of disturbances on the habitat groups was stronger than in the base case and the rate of recovery was slower. Conversely, in the optimistic specification, the parameters were selected so that impacts were smaller and the rate of recovery faster. However, the parameter selection was constrained such that the resulting habitat cover predictions were plausible given the available data sets and expert opinion on historical and present habitat cover. Where statistical methods could be applied the 80% confidence interval was used to identify the optimistic and pessimistic bounds. The optimistic and pessimistic bounds were much wider for the seagrass, macroaglae and mangrove habitats than for the continental shelf habitats, because of the different quantity and quality of the information available.Progress Code: completedMaintenance and Update Frequency: notPlannedStatement: Data generated by modellers&rft.creator=Anonymous&rft.date=2006&rft.coverage=westlimit=114; southlimit=-24; eastlimit=122; northlimit=-17&rft.coverage=westlimit=114; southlimit=-24; eastlimit=122; northlimit=-17&rft_rights=Release with the permission of the custodian&rft_subject=oceans&rft_subject=Earth Science | Agriculture | Agricultural Aquatic Sciences | Fisheries&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Coastal Habitat&rft_subject=Earth Science | Human Dimensions | Environmental Governance/Management | Environmental Assessments&rft_subject=Marine Features (Australia) | Australian North West Shelf, WA&rft_subject=North West Shelf - Joint Environmental Management Study - 02-03&rft_subject=North West Shelf Joint Environmental Management Study&rft.type=dataset&rft.language=English Access the data

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For continental shelf reef habitat the base-case parameters for the habitat equations were determined by least squares optimization. The Simplex method of minimising the sum of squares was used to fit the model to the benthos observations, with some parameters constrained to a biologically meaningful range. For the seagrass, macroalgae and mangrove habitats there was considerably less information available from which to estimate madel parameters. For these habitats the base-case parameters for the habitat equations were determined from expert information and heuristic fitting to available data on historical cover and distributions. The pessimistic and optimistic parameterisations were determined by considering the extremes of the relevant parameters in the literature and by exploring the dynamics of the system in the parameter space around the base case results. The pessimistic parameters were selected so that the impact of disturbances on the habitat groups was stronger than in the base case and the rate of recovery was slower. Conversely, in the optimistic specification, the parameters were selected so that impacts were smaller and the rate of recovery faster. However, the parameter selection was constrained such that the resulting habitat cover predictions were plausible given the available data sets and expert opinion on historical and present habitat cover. Where statistical methods could be applied the 80% confidence interval was used to identify the optimistic and pessimistic bounds. The optimistic and pessimistic bounds were much wider for the seagrass, macroaglae and mangrove habitats than for the continental shelf habitats, because of the different quantity and quality of the information available.

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Progress Code: completed
Maintenance and Update Frequency: notPlanned
Statement: Data generated by modellers

Notes

Credit
Randall Gray
Credit
Elizabeth A. Fulton
Credit
L.R. Little
Credit
Roger Scott

This dataset is part of a larger collection

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122,-17 122,-24 114,-24 114,-17 122,-17

118,-20.5

text: westlimit=114; southlimit=-24; eastlimit=122; northlimit=-17

Identifiers
  • Local : Anzlic Identifier: ANZCW0306006570
  • Local : Marlin Record Number: 6570
  • global : 1625b271-53a4-4041-8b98-f94fce2c63e3