Data

NSW Forest Monitoring and Improvement Program Eastern Forest Soil Condition

Terrestrial Ecosystem Research Network
Natural Resources Commission, New South Wales Government
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25901/ht3y-hk38&rft.title=NSW Forest Monitoring and Improvement Program Eastern Forest Soil Condition&rft.identifier=10.25901/ht3y-hk38&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=These datasets consist of soil maps generated to assess baselines, drivers and trends for soil health and stability within the NSW Regional Forest Agreement (RFA) regions. The maps are organised into empirical soil maps, digital soil maps, and data cube maps. Empirical soil maps consists of four products. Maps include topsoil pH, carbon, Emerson Aggregate Stability and Soil Profile Quality Confidence. Each map consists of 2,162 units. Maps were generated using the most representative soil profile for each unit available within the Soil and Land Information System (SALIS). The 2008 woody vegetation coverage was used as baseline. Maps reflect values when the sampling occurred with temporal changes not being accounted for. Locations with missing or of poor quality data are identified, providing a confidence rating map as part of the evaluation process. Digital soil maps include map products of key soil condition indicators covering the Regional Forest Agreement regions of eastern NSW. Raster maps of key soil indicators, such as soil carbon, pH, bulk density, hillslope erosion and others, were created at 100 m resolution. For each key soil indicator, maps include baseline (approximately 2008) levels as well as trends of change resulting from different human and natural disturbances such as forest harvesting, uncontrolled stock grazing, climate change and bush fire. Data cube maps include time series of soil organic carbon (SOC) between January 1990 and December 2020 for the Regional Forest Agreement regions of eastern NSW. Products provide estimates of SOC concentrations and associated trends through time. Modelling was carried out using a data cube platform incorporating machine learning space-time framework and geospatial technologies. Important covariates required to drive this spatio-temporal modelling were identified using the Recursive Feature Elimination algorithm (RFE). A web mapping application on the NSW Spatial Collaboration Portal depicts these datasets. Access the webapp through the link below: https://portal.spatial.nsw.gov.au/portal/home/item.html?id=af9c71935f024f4a8f64cb39f5eba007Progress Code: completedMaintenance and Update Frequency: notPlanned&rft.creator=Natural Resources Commission, New South Wales Government &rft.date=2021&rft.edition=1.1&rft.relation=https://www.nrc.nsw.gov.au/Soil%20and%20water%20-%20Project%20SW2%20-%20Final%20report%20-%20Oct%202021.pdf?downloadable=1&rft.coverage=Eastern NSW Regional Forest Agreement Regions&rft.coverage=northlimit=-28.162349; southlimit=-28.162349; westlimit=153.569208; eastLimit=153.570582; projection=EPSG:4283&rft.coverage=northlimit=-28.173112; southlimit=-37.600632; westlimit=148.563186; eastLimit=153.838679; projection=EPSG:4283&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=TERN services are provided on an as-is and as available basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=environment&rft_subject=geoscientificInformation&rft_subject=SOILS&rft_subject=SOIL ORGANIC CARBON (SOC)&rft_subject=EROSION&rft_subject=CLIMATE INDICATORS&rft_subject=EARTH SCIENCE&rft_subject=FORESTS&rft_subject=BIOSPHERE&rft_subject=TERRESTRIAL ECOSYSTEMS&rft_subject=SOIL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Climate change science&rft_subject=FORESTRY SCIENCES&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=soil bulk density (Milligram per Cubic Meter)&rft_subject=Milligram per Cubic Meter&rft_subject=aggregate stability (Unitless)&rft_subject=Unitless&rft_subject=soil carbon content (Percent)&rft_subject=Percent&rft_subject=soil phosphorus (Milligram per Kilogram)&rft_subject=Milligram per Kilogram&rft_subject=soil pH (Acidity)&rft_subject=Acidity&rft_subject=erosion rate (tonne per hectare year)&rft_subject=tonne per hectare year&rft_subject=soil organic carbon (Milligram per Hectare)&rft_subject=Milligram per Hectare&rft_subject=1 meter - < 30 meters&rft_subject=Decadal&rft_subject=Emerson Aggregate Test&rft_subject=pH&rft_subject=EAT&rft_subject=Soil Condition&rft_subject=FMIP&rft_subject=Forest Monitoring Improvement Program&rft_subject=Digital Soil Maps&rft_subject=Empirical Soil Maps&rft_subject=Spatio-temporal data cube maps&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
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TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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Brief description

These datasets consist of soil maps generated to assess baselines, drivers and trends for soil health and stability within the NSW Regional Forest Agreement (RFA) regions.
The maps are organised into empirical soil maps, digital soil maps, and data cube maps.
Empirical soil maps consists of four products. Maps include topsoil pH, carbon, Emerson Aggregate Stability and Soil Profile Quality Confidence. Each map consists of 2,162 units. Maps were generated using the most representative soil profile for each unit available within the Soil and Land Information System (SALIS). The 2008 woody vegetation coverage was used as baseline. Maps reflect values when the sampling occurred with temporal changes not being accounted for. Locations with missing or of poor quality data are identified, providing a confidence rating map as part of the evaluation process.
Digital soil maps include map products of key soil condition indicators covering the Regional Forest Agreement regions of eastern NSW. Raster maps of key soil indicators, such as soil carbon, pH, bulk density, hillslope erosion and others, were created at 100 m resolution. For each key soil indicator, maps include baseline (approximately 2008) levels as well as trends of change resulting from different human and natural disturbances such as forest harvesting, uncontrolled stock grazing, climate change and bush fire.
Data cube maps include time series of soil organic carbon (SOC) between January 1990 and December 2020 for the Regional Forest Agreement regions of eastern NSW. Products provide estimates of SOC concentrations and associated trends through time. Modelling was carried out using a data cube platform incorporating machine learning space-time framework and geospatial technologies. Important covariates required to drive this spatio-temporal modelling were identified using the Recursive Feature Elimination algorithm (RFE).
A web mapping application on the NSW Spatial Collaboration Portal depicts these datasets. Access the webapp through the link below:
https://portal.spatial.nsw.gov.au/portal/home/item.html?id=af9c71935f024f4a8f64cb39f5eba007

Lineage

Progress Code: completed
Maintenance and Update Frequency: notPlanned

Notes

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Purpose
The dataset was collected to assess soil condition in the forests of eastern NSW

Created: 2021-04-14

Issued: 2021-07-17

Modified: 2024-05-03

Data time period: 1990-01-01 to 2021-01-02

This dataset is part of a larger collection

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153.56921,-28.16235 153.57058,-28.16235

153.569895,-28.162349

153.83868,-28.17311 153.83868,-37.60063 148.56319,-37.60063 148.56319,-28.17311 153.83868,-28.17311

151.2009325,-32.886872

text: Eastern NSW Regional Forest Agreement Regions

Subjects
1 meter - < 30 meters | Agricultural and Veterinary Sciences | Acidity | BIOSPHERE | CLIMATE INDICATORS | Climate change science | Decadal | Digital Soil Maps | EARTH SCIENCE | EAT | Environmental Sciences | EROSION | Emerson Aggregate Test | Empirical Soil Maps | FMIP | Forestry Sciences | FORESTS | Forest Monitoring Improvement Program | Milligram per Cubic Meter | Milligram per Hectare | Milligram per Kilogram | Percent | SOIL ORGANIC CARBON (SOC) | Soil Sciences | SOILS | Soil Condition | Spatio-temporal data cube maps | TERRESTRIAL ECOSYSTEMS | Unitless | aggregate stability (Unitless) | environment | erosion rate (tonne per hectare year) | geoscientificInformation | pH | soil bulk density (Milligram per Cubic Meter) | soil carbon content (Percent) | soil organic carbon (Milligram per Hectare) | soil pH (Acidity) | soil phosphorus (Milligram per Kilogram) | tonne per hectare year |

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Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6d98822-5e4f-4096-9a15-0629fa0c3eeb

Identifiers