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Queensland Koala Habitat Mapping

Authors: Runge, Claire A; Rhodes, Jonathan R; Lopez-Cubillos, D Sofia;

Queensland Koala Habitat Mapping

Abstract

This dataset maps koala habitat across Queensland. Predictions of koala habitat in Queensland were developed using a protocol adapted from that used to map habitat in SEQ. Briefly, regional ecosystems were ranked according to their predicted utility to koalas and overlaid with predictions of the environmental suitability of the landscape for koalas to generate a predicted ranking of utility of habitat for koalas in each planning unit. This dataset was developed to inform broad-scale conservation planning associated with the National Koala Recovery plan. The spatial resolution is 1km (100ha) and it is not intended for identifying habitat at a fine scale, nor for use in environmental assessments or regulatory activities. The dataset has not been ground-truthed. Some areas identified as potential habitat may be too degraded or contain insufficient resources for koalas to occupy. Koalas may be present outside the areas identified as potential habitat. For uses within the South-East Queensland planning area we recommend using alternate mapping DES. 2020. Spatial modelling for koalas in South East Queensland: Report version 1.0. Koala Habitat Areas (KHA) v1.0. Further information is available in the report and README in this repository.

This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.

Related Organizations
Keywords

habitat, koala, conservation planning

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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