Climate-Informed Landscape Capacity for 9 NSW Threatened Reptile Species, 1750-2070
Updated 19d ago
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Description
New South Wales, Australia, is the geographic scope for this dataset of modelled landscape capacity for 75 threatened species, including nine specific reptiles. The dataset contains climate-informed projections for the years 1750, 2000, 2030, and 2070, based on NARCliM 1.0 climate futures. It was produced by the NSW Department of Climate Change, Energy, the Environment and Water as part of the Persistence in the Landscape Project (PLP).
Use Cases
Identify climate refugia for reptile conservation based on multi-species landscape capacity maps.
Project future habitat suitability for specific species like the Pink-tailed Legless Lizard based on climate model consensus for 2070.
Analyze changes in landscape capacity over time from pre-industrial (1750) to future (2070) epochs.
Prioritize land management areas using maps of multi-species refugia and landscape capacity.
Strengths
Models landscape capacity for 75 threatened species across New South Wales.
Includes projections for four distinct time epochs: 1750, 2000, 2030, and 2070.
Provides consensus maps across 12 climate models for the 2070 future scenario.
Focuses on nine specific reptile species with individual model outputs.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data may reflect geographic bias inherent to data_gov_au, being focused solely on NSW, Australia.
Provenance
Source
NSW Department of Climate Change, Energy, the Environment and Water
Collection Method
Climate-informed modelling of landscape capacity using NARCliM (v1.0) climate futures, as part of the Persistence in the Landscape Project (PLP).
Time Range
1750 to 2070
Freshness
Last updated 2026-05-18 02:07:11.378410; freshness should be verified.
Geography
New South Wales, Australia
Files are large GeoTIFF rasters grouped into zip files that may take considerable time to download.