교육데이터 활용•지원 서비스

This is a collection of 171 habitat quality models for fauna species that were mapped across forest areas in the Upper North East (UNE) and the Lower North East (LNE) NSW during the Comprehensive Regional Assessment (CRA) in 1999. They are 100m grids stored in MGA Zone 56 projection. 34 models are mapped on public tenure and 137 over all tenure. The ‘public land’ fauna models were those that modelled fairly on public land, some using Presence-Absence modelling, and were restricted to public land because the systematic surveys were carried out there (eg. primarily NEFBS, State Forest EIS, CRA). Some all-tenure (Presence-only) models were most likely have been cut to public land if it was considered that they modelled better there. In this case there would be two versions of the same model, but only one was used in the CRA. It was decided that the flora models would not be published due to their poor quality and their need for updating with better records in the time since. Note that a revised edition of approximately a third of the models were produced in 2008: https://iar.environment.nsw.gov.au/dataset/revised-northern-cra-habitat-models-2008 The original models were produced as part of a Comprehensive Regional Assessment (CRA) for the Regional Forest Assessment (RFA) process. The specific objective of these models was to identify core areas of forest capable of sustaining viable populations of priority species. Habitat quality models were derived using known distributions of species combined with abiotic, biotic, terrain, habitat and geographic layers within a GIS. These known species-habitat relationships were then used to model predicted distributions and thus areas of significant habitat for the species of concern. Flora and fauna experts were used to validate the models and define areas of high-quality habitat for each species. The models are either mapped across All Tenure (at) or Public Tenure (pt). Each species model is named with the Catalogue of Australian Vertebrates (CAVS) code. Fauna models were developed using logistic regression models (generalised additive models) of species presence and absence to mapped environmental features. Where statistical models were judged by the expert panel to be inadequate, qualitative or expert models were derived. Additionally, fauna experts were used to identify habitat quality. Probability levels were used where appropriate to define high (class 1), intermediate (class 2), and marginal (class 3) habitat. Flora models were produced using a combination of GAM inference of species sightings with mapped environmental features and a boolean overlay of selected environmental features along with expert review. Expert judgement was employed to categorise flora habitat into two classes of potential habitat: Occupied habitat (class 1) that shows validated point localities or population areas with a surrounding buffer to account for local seed bank or regeneration. High quality habitat (class 2) which is the rest of the model constructed using the boolean overlay of environmental layers. See Table 3A (pg.33-38) in report for full a breakdown of species models, methods used and assessment of model confidence. The report notes that models were not validated due to time constraints and that results should be viewed as a "minimum estimate of high-quality habitat for the purposes of the CRA." The official report, Modelling areas of habitat significance for vertebrate fauna and vascular flora in north-east NSW 1999, expands on the methodology and outputs. The report is stored for internal access under P:\Corporate\Products\Biodiversity\Habitat\CRA_Northern MODELLING AREAS OF HABITAT SIGNIFICANCE FOR VERTEBRATE FAUNA AND VASCULAR FLORA IN NORTH EAST NSW A project undertaken as part of the NSW Comprehensive Regional Assessments, April 1999 Project number NA 23/EH The fauna species modelled are as follows: • 0021 Rose-crowned Fruit-Dove • 0023 Superb Fruit-Dove • 0035 Brush Bronzewing • 0174 Bush