Data

River ecosystem metabolism modelling outputs (Lachlan River, NSW, 2018-07-01 to 2019-06-30)

Commonwealth Scientific and Industrial Research Organisation
Giling, Darren
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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:doi10.25919/08e2-6974&rft.title=River ecosystem metabolism modelling outputs (Lachlan River, NSW, 2018-07-01 to 2019-06-30)&rft.identifier=https://doi.org/10.25919/08e2-6974&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The purpose of the modelling was to 1) build knowledge around how river flow and connectivity affect aquatic ecosystem metabolism, and 2) provide a robust case study for scaling flow-ecology responses to larger spatial scales (i.e., an entire catchment). This data collection contains the predicted rates of ecosystem metabolism (gross primary production and ecosystem respiration) at unmonitored locations on the Lachlan River, NSW, Australia.Lineage: These data were produced using a spatio-temporal modelling framework. Rates of gross primary production (GPP) and ecosystem respiration (ER) were modelled as a function of monthly air temperature, monthly solar exposure, discharge magnitude, and discharge temporal variability. These variables, together with estimated spatial and temporal dependencies, were subsequently used to estimate GPP and ER at unmonitored locations along the Lachlan River.Full details available in Giling et al. Season and Flow Drive Productivity of a Regulated River (2025) Ecosystems. In press.&rft.creator=Giling, Darren &rft.date=2024&rft.edition=v2&rft.coverage=westlimit=143.91580000000002; southlimit=-34.3284; eastlimit=149.06210000000002; northlimit=-32.9517; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2022.&rft_subject=MDB-EF&rft_subject=Ecosystem Function&rft_subject=MDB&rft_subject=Ecology&rft_subject=Flow connectivity&rft_subject=Freshwater ecosystem&rft_subject=Water dependent ecosystem&rft_subject=River ecosystem metabolism&rft_subject=Ecosystem function&rft_subject=Ecological applications&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Environmental management&rft_subject=Environmental management&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2022.

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Full description

The purpose of the modelling was to 1) build knowledge around how river flow and connectivity affect aquatic ecosystem metabolism, and 2) provide a robust case study for scaling flow-ecology responses to larger spatial scales (i.e., an entire catchment). This data collection contains the predicted rates of ecosystem metabolism (gross primary production and ecosystem respiration) at unmonitored locations on the Lachlan River, NSW, Australia.
Lineage: These data were produced using a spatio-temporal modelling framework. Rates of gross primary production (GPP) and ecosystem respiration (ER) were modelled as a function of monthly air temperature, monthly solar exposure, discharge magnitude, and discharge temporal variability. These variables, together with estimated spatial and temporal dependencies, were subsequently used to estimate GPP and ER at unmonitored locations along the Lachlan River.

Full details available in Giling et al. Season and Flow Drive Productivity of a Regulated River (2025) Ecosystems. In press.

Available: 2024-12-24

Data time period: 2018-07-01 to 2019-06-30

This dataset is part of a larger collection

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149.0621,-32.9517 149.0621,-34.3284 143.9158,-34.3284 143.9158,-32.9517 149.0621,-32.9517

146.48895,-33.64005

ACN 633 798 857