From DataNSW

Endangered ecological communities (EECs) of the Shoalhaven, Eurobodalla and Bega Valley local government areas. VIS ID 3901

Created 06/05/2025

Updated 06/05/2025

This project collated EEC information from a series of EEC specific and broader vegetation mapping projects to produce a composite EEC map for the Shoalhaven, Eurobodalla and Bega Valley local government areas. The spatial data is closely correlated with the Biometric vegetation map (refer to Appendix C1). However there may be some minor differences in extent based on the addition of EEC specific datasets which were not able to be correlated with a specific Biometric vegetation type. As such, both the Biometric and EEC layer should be used together as required. EEC is a category of threatened ecological Community (TEC). EECs in this map are listed under the NSW Threatened Species Conservation Act, 1995. Version 2, with amendments based on field verification and external review. VIS_ID 3901

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Field Value
Title Endangered ecological communities (EECs) of the Shoalhaven, Eurobodalla and Bega Valley local government areas. VIS ID 3901
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/69e19b35-c45a-41ac-8661-35a5ab7366cd
Remote Last Updated 26/02/2024
Contact Point
NSW Department of Climate Change, Energy, the Environment and Water
test@email.loc
Reference Period 01/01/2000 - 06/01/2010
Geospatial Coverage {"type": "Polygon", "coordinates": [[[150.852212, -37.479814], [150.852212, -34.613004], [149.342386, -34.613004], [149.342386, -37.479814], [150.852212, -37.479814]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on DataNSW "Endangered ecological communities (EECs) of the Shoalhaven, Eurobodalla and Bega Valley local government areas. VIS ID 3901". Please visit the source to access the original metadata of the dataset:
https://data.nsw.gov.au/data/dataset/endangered-ecological-communities-eecs-of-the-shoalhaven-eurobodalla-and-bega-valley-local-g5e1

No duplicate datasets found.