Field | Value |
---|---|
Title |
Assessment of Rainforest TECS on NSW Crown Forest Estate |
Alternative title(s) |
Lowland Rainforest and Lowland Rainforest on Floodplain: Survey, Classification and Mapping Completed for the NSW Environment Protection Authority |
Abstract |
Operational map for Lowland Rainforest: The operational map for Lowland Rainforest (LORF) was constructed to resolve long-standing issues surrounding its identification, location and extent within the NSW State Forest estate covered by the coastal Integrated Forestry Operation Agreements. The project’s Threatened Ecological Community (TEC) Reference Panel (the Panel) preceded the assessment process by reviewing the determination for LORF. The Panel found that the determination for LORF relies almost exclusively on a rainforest classification system described by Floyd (1990) where several rainforest ‘suballiances’ make up the LORF assemblage. Floyd’s suballiance classifications presented a challenge to our project as they were largely subjective and were not compatible with quantitative analysis, meaning that it was difficult to distinguish between the LORF TEC and other rainforest vegetation using statistically sound methods. To overcome some of these problems we revisited a set of reference sites that were assigned by Floyd to the suballiances cited in the LORF determination and in other rainforest TEC determinations, and collected new floristic data using standard flora survey methods. We also targeted a range of localities on State Forest that we considered likely to include LORF and other rainforest TECs based on the suballiance descriptions, cited localities in Floyd (1990), and preliminary distribution models. Over 300 new rainforest plots were combined with a large pool of existing data covering eastern NSW to construct a provisional revised rainforest classification. We used the rainforest groups derived from this analysis to compare the species composition of Floyd’s suballiances, determination assemblage lists and recent rainforest classifications included in regional classifications. Rainforest groups (and the plots that defined them) were assigned to the Floyd suballiance with the highest degree of floristic similarity. We conferred with the Panel to resolve any inconsistencies between the results of our analyses and statements relating to the distribution and composition of individual suballiances in Floyd (1990) and the determinations. We then used plot data and a selection of environmental and remote-sensing variables to develop a Random Forest (RF) model of the probability of occurrence of LORF. We assessed the location of plots assigned to LORF against the distribution of the RF model on and adjoining State Forests. We then completed detailed aerial photograph interpretation (API) using a prescribed set of mapping classes to delineate rainforest areas for a range of canopy cover thresholds. We constructed an operational map of LORF by assigning our API polygons as being LORF based on the modelled probabilities and plot data underlying the polygon. Our mapping identified a total of approximately 14,036 hectares of LORF, the vast majority of which was located in the north coast region. We mapped 13,209 hectares of LORF on the north coast, with the largest areas found in Ewingar and Unumgar State Forests. Only 827 hectares of LORF were mapped on the south coast, with the largest areas found in Yadboro and Currowan State Forests. Operational map for Lowland Rainforest on Floodplains: The operational map for Lowland Rainforest on Floodplains (LRFP) was constructed to resolve long-standing issues surrounding its identification, location and extent within the NSW State Forest estate covered by the coastal Integrated Forestry Operation Agreements. The project’s Threatened Ecological Community (TEC) Reference Panel (the Panel) preceded the assessment process by reviewing the determination for LRFP. The Panel found that the determination for LRFP relies mainly on a rainforest classification system described by Floyd (1990) where several rainforest ‘suballiances’ make up the LRFP assemblage. The determination also identifies a range of floodplain and alluvial descriptors. Floyd’s suballiance classifications presented a challenge to our project as they were largely subjective and were not compatible with quantitative analysis, meaning that it was difficult to distinguish between the LRFP TEC and other rainforest vegetation using statistically sound methods. To overcome some of these problems we revisited a set of reference sites that were assigned by Floyd to the suballiances cited in the LRFP determination and other rainforest TEC determinations, and collected new floristic data using standard flora survey methods. We also targeted a range of localities on State Forest that we considered likely to include LRFP and other rainforest TECs based on the suballiance descriptions, cited localities in Floyd (1990), and preliminary distribution models. Over 300 new rainforest plots were combined with a large pool of existing data covering eastern NSW to construct a provisional revised rainforest classification. We used the rainforest groups derived from this analysis to compare the species composition of Floyd suballiances, determination assemblage lists and recent rainforest classifications included in regional classifications. Rainforest groups, (and the plots that defined them), were assigned to the Floyd suballiance with the highest degree of floristic similarity. We conferred with the TEC Project Reference Panel (the Panel) to resolve inconsistencies between the results of our analyses and statements relating to the distribution and composition of individual suballiances in Floyd (1990), and the determinations. We attempted to use plot data and a selection of environmental and remote-sensing variable to develop Random Forest models of the probability of occurrence of LRFP, but we were unable to assign any of our rainforest groups to the assemblage lists or the primary suballiances cited in the LRFP determination. We overcame this problem by constructing a fine scale digital elevation model (DEM) of landscape elements that we considered were likely to be associated with the range of floodplain and alluvial descriptors identified in the determination for LRFP. We then mapped our rainforest groups onto the DEM and assigned any rainforest assemblage that overlapped with our alluvial and floodplain DEM map as LRFP TEC. Using this method we constructed an operational map of LRFP in State Forests on the NSW coast. Our mapped identified a total of 680 hectares of LRFP, all of which was located in the north coast region. Operational TEC Mapping have been derived by API at a viewing scale between 1-4000 using ADS40 50 cm pixel imagery and 1 m derived LIDAR DEM grids for floodplain EECs. |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: NSW Government standards direct that data should be made available with a statement regarding its quality, a so-called “Data Quality statement (DQS)”, to enable potential users to determine whether the data is suitable for their requirements. Function: download |
Assessment of Rainforest TECS on NSW Crown Forest Estate |
Name: Assessment of Rainforest TECS on NSW Crown Forest Estate Protocol: WWW:DOWNLOAD-1.0-http--download Description: Report on the Assessment of Rainforest TECS on NSW Crown Forest Estate Function: download |
Operational Map for Lowland Rainforest on Floodplain Threatened Ecological Community on NSW Crown Forest Estate |
Name: Operational Map for Lowland Rainforest on Floodplain Threatened Ecological Community on NSW Crown Forest Estate Protocol: WWW:DOWNLOAD-1.0-http--download Description: Shapefile - Operational map (Lowland Rainforest on Floodplain) for the Assessment of Rainforest TECS on NSW Crown Forest Estate Function: download |
Operational Map for Lowland Rainforest Threatened Ecological Community on NSW Crown Forest Estate |
Name: Operational Map for Lowland Rainforest Threatened Ecological Community on NSW Crown Forest Estate Protocol: WWW:DOWNLOAD-1.0-http--download Description: Shapefile - Operational map (Lowland Rainforest) for the Assessment of Rainforest TECS on NSW Crown Forest Estate Function: download |
Operational and Indicative Maps for the Assessment of Threatened Ecological Communities on NSW Crown Forest Estate |
Name: Operational and Indicative Maps for the Assessment of Threatened Ecological Communities on NSW Crown Forest Estate Protocol: WWW:DOWNLOAD-1.0-http--download Description: ESRI ArcGIS Layer File - Operational and Indicative Maps for the Assessment of Threatened Ecological Communities on NSW Crown Forest Estate Function: download |
Native Forestry Map Viewer |
Name: Native Forestry Map Viewer Protocol: WWW:DOWNLOAD-1.0-http--download Description: The EPA Native Forestry Map Viewer enables users to view our Koala and Threatened Ecological Community mapping without the need to access a GIS system. The map viewer allows users to perform searches to locate areas of interest and export resulting map views into various image file formats. Function: download |
Unique resource identifier |
|
Code |
9ce4c195-a122-4850-812e-4df498ed71ed |
Presentation form |
Map digital |
Edition |
Version 1 |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/9ce4c195-a122-4850-812e-4df498ed71ed |
Purpose |
Native Forestry Regulation on State Forests |
Status |
Completed |
Spatial representation |
|
Type |
vector |
Geometric Object Type |
curve |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Equivalent scale |
1:None |
Field | Value |
---|---|
Topic category |
Field | Value |
---|---|
Keyword set |
|
keyword value |
Threatened Ecological Community Endangered Ecological Community Vegetation State Forest Lowland Rainforest Lowland Rainforest on Floodplain EEC TEC Environment Protection Authority EPA |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
150.01026 |
East bounding longitude |
153.2021 |
North bounding latitude |
-35.56819 |
South bounding latitude |
-28.31929 |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
2016-10-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Irregular |
Contact info | |
Contact position |
Data Broker |
Organisation name |
Environment Protection Authority (EPA) |
Responsible party role |
pointOfContact |
Field | Value |
---|---|
Lineage |
Linework has been derived from manual interpretation of stereoscopic 3D ADS-40 imagery collected at a 50cm resolution. Date of photography varies across eastern NSW between 2009-2015. Interpretation has collected a range of floristic attributes including canopy species dominance, understorey attributes and assessment of landscape characteristics. Lines have been interpreted using a viewing scale between 1:2000- 1: 5000. Interpretation has been supported by field traverse (except bogs and saltmarsh), and existing field based observation data held by OEH. Final linework was assembled using combinations of aerial photo patterns, predictive TEC models, systematic plot data and where relevant fine scale topographic data derived from 1 metre resolution digital elevation model. |
Field | Value |
---|---|
Limitations on public access |
|
Field | Value |
---|---|
Scope |
dataset |
DQ Conceptual Consistency |
|
Explanation |
Standard API mapping pathways have been established for mappers to apply consistent interpretation of vegetation features including, size criteria and polygon attribution. |
DQ Topological Consistency |
|
Explanation |
Not assessed |
DQ Absolute External Positional Accuracy |
|
Explanation |
Positional accuracy for operational maps has been measured using independent assessment of interpreted lines as a mean of 8.5 metres. Other influence on positional accuracy include the accuracy of field based GPS records currently tested at a mean of 9.2 metres. Some error with interpreted line from 2D to 3D environment can result in a positional shift of up to 10 metres. |
DQ Non Quantitative Attribute Correctness |
|
Explanation |
Attribution is consistent |
Field | Value |
---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
Environment Protection Authority (EPA) |
Responsible party role |
pointOfContact |
Field | Value |
---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
Environment Protection Authority (EPA) |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T15:32:06.381115 |
Metadata language |
|