Predicted future surface water extent across river networks in South-east Queensland and systematic prioritisation to sustain freshwater biodiversity

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Author(s)
Yu, Songyan
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Date
2021
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200 MB

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.gpkg

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South-east Queensland

Abstract

To inform the spatial distribution of dry-season aquatic refuges in rivers, we developed statistical models to predict surface water extent across river networks in South-east Queensland for both a historical period (1999-2018) and four future periods (2020-2039, 2040-2059, 2060-2079, and 2080-2099) under three climate change projections. The statistical models used inputs from the hydro-climatic simulations from the National Hydrological Projections and several environmental attributes from the Geofabric data set (both developed by the Australian Bureau of Meteorology (BoM)). We further applied a systematic planning algorithm to prioritise stream segments for efficient management. The prioritisation was based on hydrological factors (e.g., the predicted surface water extent) and simulated spatial distribution of 25 freshwater species sourced from Rose et al. (2016). Rose, P.M., Kennard, M.J., Moffatt, D.B., Sheldon, F., Butler, G.L., 2016. Testing Three Species Distribution Modelling Strategies to Define Fish Assemblage Reference Conditions for Stream Bioassessment and Related Applications. PLoS One, 11(1): e0146728. DOI:10.1371/journal.pone.0146728

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Rights Statement

Copyright Griffith University. With significant contributions to this data from the National Hydrological Projections (https://awo.bom.gov.au/products/projection/) and Geofabric (http://www.bom.gov.au/water/geofabric/) developed by BoM, and simulated spatial distribution of freshwater fish species from Rose (2016) (https://doi.org/10.1371/journal.pone.0146728). CC BY-NC Attribution-NonCommercial 4.0 International - Researchers can be contacted for commercial use permissions.

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Mediated access. Requests for access can be made through the Data Link.

Note

Dataset creation was supported by the research team from Griffith University. The dataset is built upon existing datasets, particularly the National Hydrological Projections and Geofabric from BoM, and the simulated species distribution data from Rose et al (2016).

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Subject

Ecohydrology

Conservation and biodiversity

Intermittent stream

aquatic refuge

systematic conservation planning

environment management

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