From 1 - 10 / 11
  • Categories  

    This product represents the predicted spatial patterns of species abundance, species richness and species evenness of demersal fish communities in the SEMR. It provides a description of the structure rather than the composition (i.e. specific species) of these assemblages. Structure equates to total species abundance (the total number of individuals), species richness (the total number of species) and species evenness (relative proportions of species). The product can also be used to identify areas in the SEMR that are predicted to have unique combinations of species richness and evenness. This allows managers to identify areas that are predicted to have common or rare types of community structure.

  • Categories  

    This product (i.e. Access data base) contains data (longitudes, latitude and biodiversity attribute variables) that describes the predicted spatial patterns of biodiversity categories based on species richness and evenness of demersal fish in the EMR. This product provides predictions for total species abundance, species richness and species evenness and estimates of uncertainty for demersal fish. The predicted patterns are represented as point data arranged on a 0.1 degree grid (~ 1.2 km2) covering depths 50-900 metres in the EMR from 24oS to 34oS

  • This product (i.e. an Access database and csv files) contains data (longitude, latitude and physical data) that explains the predicted spatial patterns of benthic habitats for demersal fish and benthic invertebrates in the NWMR. Predicted patterns for habitats represent point data on a 0.01 decimal degree grid covering most of the NWMR (approximately 600,000 square km).

  • Categories  

    This product (i.e. an Access database and csv files) contains data (longitude, latitude and physical data) that explains the predicted spatial patterns of benthic habitats for demersal fish and benthic invertebrates in the EMR. Predicted patterns for habitats represent point data on a 0.01 decimal degree grid covering most of the EMR (approximately 78,000 square km).

  • This product (i.e. an Access database and csv files) contains data (longitude, latitude and physical data) that explains the predicted spatial patterns of benthic habitats for demersal fish and benthic invertebrates in the NMR. Predicted patterns for habitats represent point data on a 0.01 decimal degree grid covering most of the NMR (approximately 400,000 square km).

  • Categories  

    This product (i.e. Access data base) contains data (longitudes, latitude and biodiversity attribute variables) that describes the predicted spatial patterns of biodiversity categories based on species richness and evenness of demersal fish in the NWMR. This product provides predictions for total species abundance, species richness and species evenness and estimates of uncertainty for demersal fish. The predicted patterns are represent as point data arranged on a 0.1 degree grid (~ 1.2 km2) covering depths 50-1500 metres in the NWMR

  • This product (i.e. an Access database and csv files) contains data (longitude, latitude and physical data) that explains the predicted spatial patterns of benthic habitats for demersal fish and benthic invertebrates in the SWMR. Predicted patterns for habitats represent point data on a 0.01 decimal degree grid covering most of the SWMR (approximately 400,000 square km).

  • Categories  

    This product (i.e. Access data base) contains data (longitudes, latitude and biodiversity attribute variables) that describes the predicted spatial patterns of biodiversity categories based on species richness and evenness of demersal fish in the NMR. This product provides predictions for total species abundance, species richness and species evenness and estimates of uncertainty for demersal fish. The predicted patterns are represent as point data arranged on a 0.1 degree grid (~ 1.2 km2) covering depths 50-1500 metres in the NMR

  • Categories  

    This product (i.e. Access data base) contains data (longitudes, latitude and biodiversity attribute variables) that describes the predicted spatial patterns of total species abundance, species richness and species evenness for both benthic invertebrates and demersal fish in the SWMR. The predicted patterns are represent as point data arranged on a 0.1 degree grid (~ 1.2 km2) covering depths 50-1500 metres in the SWMR.

  • Categories  

    This record describes the WAMSI KMRP Project 2.2.8: Knowledge Integration and Management Strategy Evaluation (MSE) Modelling of the Kimberley Region. The project explores the possible and desired futures of the Kimberley region using two computer models, Ecopath with Ecosim (EwE) and ALCES. In this project the future is defined to 2050. EwE was used to characterise the trophic structure, ecosystem attributes and impact of fishing and climate change in the region. ALCES modelled terrestrial land-use and landscape dynamics and interfaced with the marine ecosystem dynamics (EwE) model to generate output on how these ecosystems interact and change over time. The purpose of using these models was to integrate existing and new knowledge about the Kimberley system and to provide an estimation of the likely impacts of different stressors on the land (ALCES) and marine (EwE) environments. This metadata record relates to the input and outputs for EwE and lists only the inputs form ALCES. Refer to the additional metadata description for details on the ALCES component.