The team has developed a web tool LOOC-B to enable biodiversity assessment at paddock-farm-landscape scale, anywhere in Australia.
Team members have contributed to the development of the R package ‘gdm‘.
Karel Mokany and Alex Bush developed the R package ‘AdaptR‘ for incorporating genetic adaptation into species distribution modelling.
Some of the data produced and used by the Macroecological Modelling Team is available on CSIRO’s Data Access Portal, particularly under the Community Ecology topic area.
Some examples of our publicly available datasets include:
This global spatial layer of contextual intactness aims to identify priority areas around the world where protection and management will best promote biodiversity persistence.
Habitat condition across Australia
The HCAS v2.1 base model dataset describes natural habitat condition for native biodiversity applicable to the assessment period, 2001 to 2018, with scores ranging from 0.0 (habitat completely removed) to 1.0 (habitat in reference condition), being the ‘best’ estimate possible using the current HCAS implementation.
BHI v2: Biodiversity Habitat Index: 30s global time series
BHI estimates the level of species diversity expected to be retained within any given spatial reporting unit (e.g., a country, a broad ecosystem type, or the entire planet) as a function of the unit’s area, connectivity and integrity of natural ecosystems across it.
PARC: Protected Area Representativeness Index: 30s global time series
The Protected Area Representativeness and Connectedness (PARC) indices measure the extent to which terrestrial protected areas, and other effective area-based conservation measures (OECMs), are ecologically representative, and well-connected; both to one another, and to other areas of intact natural ecosystems in the surrounding landscape.