Namoi CMA Groundwater Dependent Ecosystems

## **Abstract** \n\nThis dataset were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nVegetation in the Namoi CMA (including vegetation of both high ecological value as well as medium and low ecological value) was identified as being groundwater dependent (low, medium and high probability) following a methodology that used current vegetation data, depth to groundwater data, remote sensing data that showed potential frequency of water use other than surface water based on a continuous 10 year period and expert opinion.\n\n\n\nA detailed description of the methodology used to create these data can be found in the following document:\n\nDabovic, J, Kuginis L, Raine A, Hemakumara H, Byrne G, Mitchell, M and Williams J (in prep) Methods for the identification of high priority groundwater dependent ecosystems in NSW . NSW Department of Primary Industries, Office of Water.\n\n\n\nThis dataset has been provided to the BA Programme on the condition that third parties may not reproduce this dataset. Third parties wishing to use or reproduce this data should contact the data provider.\n\n## **Purpose** \n\nThese data provide the location and likelihood of native vegetation being dependent on groundwater using multiple lines of evidence (see above). Thus, they provide a detailed assessment of one aspect the hydrological connectivity (groundwater in this instance) of the native vegetation in the Namoi CMA.\n\n## **Dataset History** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nData sources:\n\nGroundwater dependency\n\n1. Vegetation: obtained from OEH\n\n2. Depth to groundwater: modelled data provided by Office of Water Hydrogeologists\n\n3. Potential frequency of water use other than surface water based on a continuous 10\n\nyear period : This data set was created by Herbert Hemakumara (Office of Water) using\n\nremote sensing MODIS\n\nHigh Ecological Value\n\n1. National Parks and State Forests (OEH)\n\n2. SEPP 14 & 26 (Dept Planning)\n\n3. RAMSAR Wetlands (OEH)\n\n4. Marine parks and aquatic reserves (OEH)\n\n5. Identified rain forest communities (OEH)\n\n6. Threatened or endangered species (OEH)\n\n7. Wildlife corridors, Regional Conservation strategies or communities identified as\n\nbeing significant in various studies (Various Sources)\n\nPositional Accuracy:\n\nThe eastings and northings of all points are only approximate.\n\nThe shape of polygon features are only approximate.\n\nData Status:\n\nThis is a DRAFT preliminary dataset. The model has been run however the output has\n\nnot been checked and field verification has not taken place. The project is on going.\n\n## **Dataset Citation** \n\nNSW Office of Water (2016) Namoi CMA Groundwater Dependent Ecosystems. Bioregional Assessment Source Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/a3e21ec4-ae53-4222-b06c-0dc2ad9838a8.