HEVAE Vegetation Groundwater Dependent Ecosystems Value - Sydney Metropolitan
Data and Resources
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Data Quality Statement
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Data quality statement for HEVAE Vegetation Groundwater Dependent Ecosystems...
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GDE HEVAE - Sydney Metropolitan
ZIP
Geodata base
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GDE HEVAE Metadata statement
PDF
PDF file
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CSIRO Publication
URL
A new approach to prioritising groundwater dependent vegetation communities...
Additional Info
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Description | NSW DoI Water has adopted the Guidelines for Identifying High Ecological Value Aquatic Ecosystems (HEVAE) framework developed by the Australian Commonwealth Government. In the current assessment for NSW, the HEVAE consists of four key criteria which include diversity, distinctiveness, naturalness and vital habitat. Therefore, the HEVAE vegetation GDE value layer is a combination of four individual criterion layers. The final or overall HEVAE score was determined for vegetation PCT polygons which |
S3 object key | |
Data Custodian | NSW Department of Climate Change, Energy, the Environment and Water |
Point of Contact | water.dataproducts@dpie.nsw.gov.au |
Access Rights | Open |
Security Classification | UNOFFICIAL |
Date Modified | 2022-10-10T00:00:00 |
Access URL | https://datasets.seed.nsw.gov.au/dataset/hevae-vegetation-groundwater-dependent-ecosystems-sydney-metro |
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Disposal | |
Publisher | NSW Department of Climate Change, Energy, the Environment and Water |
Keyword | VEGETATION,WATER-Groundwater |
Resource Type | Dataset |
Temporal coverage from | 2018-01-06 |
Temporal coverage to | |
Update Frequency | Irregular |
Publish Date | 2022-10-10 |
Purpose | Environmental management |
Location | vector |
Language | English |
Licence | Creative Commons Attribution 4.0 |
Data Status | |
Data Source | https://datasets.seed.nsw.gov.au/dataset/hevae-vegetation-groundwater-dependent-ecosystems-sydney-metro |
Dataset DOI | |
Spatial Coverage |
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harvest_object_id | 096f75ff-5523-4eba-a2c4-8172fb759a99 |
harvest_source_id | 9028607c-05cb-4546-a451-a32cb42ee98f |
harvest_source_title | seed-harvester |
syndicated_id | 09c6d103-fb29-471d-bbb1-7c8050fca4ef |