TERN Ecosystem Data Services and Analytics

TERN Research Data Repository

Simplify your research data collection with the help of the research data repository managed by the Terrestrial Ecosystem Research Network. Our collection of ecosystem data includes ecoacustics, bio acoustics, lead area index information and much more.

The TERN research data collection provides analysis-ready environment data that facilitates a wide range of ecological research projects undertaken by established and emerging scientists from Australia and around the world. The resources which we provide support scientific investigation in a wide array of environment and climate research fields along with decision-making initiatives.

Explore Our Ecosystem Data Portals

Open access ecosystem data collections via the TERN Data Discovery Portal and sub-portals:

Access all TERN Environment Data

Discover datasets published by TERN’s observing platforms and collaborators. Search geographically, then browse, query and extract the data via the TERN Data Discovery Portal.

Search EcoPlots data

Search, integrate and access Australia’s plot-based ecology survey data.

Download ausplotsR

Extract, prepare, visualise and analyse TERN Ecosystem Surveillance monitoring data in R.

Search EcoImages

Search and download Leaf Area Index (LAI), Phenocam and Photopoint images.

Explore our data services

Tools that support the discovery, anaylsis and re-use of data:

Visualise the data

We’ve teamed up with ANU to provide 50 landscape and ecosystem datasets presented graphically.

Access CoESRA Virtual Desktop

A virtual desktop environment that enables users to create, execute and share environmental data simulations.

Submit data with SHaRED

Our user friendly tool to upload your data securely to our environment database so you can contribute to Australia’s ecological research.

Other data portals, tools and services

The Soil and Landscape Grid of Australia provides relevant, consistent, comprehensive, nation-wide data in an easily-accessible format. It provides detailed digital maps of the country’s soil and landscape attributes at a finer resolution than ever before in Australia.

The annual Australia’s Environment products summarise a large amount of observations on the trajectory of our natural resources and ecosystems. Use the data explorer to view and download maps, accounts or charts by region and land use type. The website also has national summary reports and report cards for different types of administrative and geographical regions.

TERN’s ausplotsR is an R Studio package for extracting, preparing, visualising and analysing TERN’s Ecosystem Surveillance monitoring data. Users can use the package to directly access plot-based data on vegetation and soils across Australia, with simple function calls to extract the data and merge them into species occurrence matrices for analysis or to calculate things like basal area and fractional cover.

The Australian Cosmic-Ray Neutron Soil Moisture Monitoring Network (CosmOz) delivers soil moisture data for 16 sites over an area of about 30 hectares to depths in the soil of between 10 to 50 cm. In 2020, the CosmOz soil moisture network, which is led by CSIRO, is set to be expanded to 23 sites.

The TERN Mangrove Data Portal provides a diverse range of historical and contemporary remotely-sensed datasets on extent and change of mangrove ecosystems across Australia. It includes multi-scale field measurements of mangrove floristics, structure and biomass, a diverse range of airborne imagery collected since the 1950s, and multispectral and hyperspectral imagery captured by drones, aircraft and satellites.

The TERN Wetlands and Riparian Zones Data Portal provides access to relevant national to local remotely-sensed datasets and also facilitates the collation and collection of on-ground data that support validation.

ecocloud provides easy access to large volumes of curated ecosystem science data and tools, a computing platform and resources and tools for innovative research. ecocloud gives you 10GB of persistent storage to keep your code/notebooks so they are ready to go when you start up a server (R or Python environment). It uses the JupyterLabs interface, which includes connections to GitHub, Google Drive and Dropbox.

Analysis Ready Ecosystem Data

Our research data collection makes it easier for scientists and researchers to investigate and answer their questions by providing them with open data, research and management tools, infrastructure, and site-based research tools.

The TERN data portal provides open access ecosystem data. Our tools support data discovery, analysis, and re-use. The services which we provide facilitate research, education, and management. We maintain a network of monitoring site and sensor data streams for long-term research as part of our research data repository.

Aggregated Australian species occurrence data from 1900 to the present using a suite of facets of most importance for environmental assessments. Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA, https://ala.org.au/) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/). Data from these infrastructures and other sources have been organised here as a national public-access dataset. This collection serves as a standardised snapshot of Australian biodiversity occurrence data from which many indicator datasets can more readily be derived (see Has Derivation entries below).

The primary asset is aggregated_spp_occ.csv. This contains all faceted data records for the period and supported facets related to time, space, taxonomy and conservation significance. Six derived assets demonstrate uses supported by the faceted data. Each is a pivot of the aggregated dataset. The data_sources.csv file includes information on the source datasets within the Atlas of Living Australia that contributed to this asset.

Grouping records from this dataset supports comparisons between the number of occurrence records for different regions and/or time periods and/or categories of species and occurrence data. Grouped counts of this kind may serve as useful indications of variation and change across the dimensions compared. Note however that such counts may not accurately reflect real differences in biodiversity. It is important to consider confounding factors (particularly variations in recording effort over time). Grouping all records by a single facet (e.g. IBRA region) may help to expose such factors.

Lineage: All species occurrence data aggregated by the ALA as of 2023-12-31 were filtered to include only:

• Records from 1900 onwards • Presence records only • Spatial coordinates present • Taxon identified to at least species level • Location falls within an IBRA or IMCRA region

Filtered data were processed to include the following elements:

1. Accepted taxon ID
2. Accepted species name
3. Classification (higher ranks)
4. Year of occurrence
5. Coordinates of occurrence
6. Basis of record (specimen, human observation, etc.)
7. State or Territory
8. IBRA7 terrestrial region
9. IMCRA 4.0 mesoscale marine bioregion
10. Status of location in CAPAD 2020 (not protected area, protected area, indigenous protected area)
11. Status of location in Forests of Australia (2013)
12. Status of location in Forests of Australia (2018)
13. Status of species on EPBC Act List of Threatened Species (mapped to accepted ALA species using galah R package)
14. Status of species on Global Register of Introduced and Invasive Species – Australia (GRIIS) version 1.10 (mapped to accepted ALA species)

Processed occurrence data were grouped to count records detected for each distinct combination of eleven primary facets. The resulting dataset is published as aggregated_spp_occ.csv and includes the following elements:

1. Year of occurrence
2. Basis of record (specimen, human observation, etc.)
3. State/Territory
4. IBRA7 terrestrial region
5. IMCRA 4.0 mesoscale marine bioregion
6. Status of location in Forests of Australia (2018)
7. Status of location in Forests of Australia (2013)
8. Status of location in CAPAD 2020 (not protected, PA – protected area, IPA – indigenous protected area)
9. Status of species on EPBC Act List of Threatened Species
10. Status of species on Global Register of Introduced and Invasive Species – Australia (GRIIS) version 1.10
11. ALA species identifier
12. Scientific name for species
13. Count of occurrence records matching the values for elements 1 to 11

Six derived summary datasets are also included. Each of these is a pivot of data in the main dataset and demonstrates a use case for the information.

• summary_protection_status_marine.csv • summary_protection_status_terrestrial.csv

These two datasets include the following columns:
1. IMCRA 4.0 / IBRA 7 bioregion 2. ALA Species ID 3. Species scientific name 4. EPBC status for species 5. Count of all records for species from region 6. Count of all records for species from protected areas inside region 7. Count of all records for species from protected areas under Indigenous management inside region

• summary_threatened_spp_occ_marine.csv • summary_threatened_spp_occ_terrestrial.csv

1. IMCRA 4.0 /IBRA 7 bioregion
2. Starting year of the time period
3. Ending year of the time period
4. EPBC status for species
5. Count of all occurrence records in the region and status for the given period
6. Count of all distinct species in the region and status for the given period

• summary_introduced_spp_occ_marine.csv • summary_introduced_spp_occ_terrestrial.csv

These two datasets include the following columns:

1. IMCRA 4.0 /IBRA 7 bioregion
2. Starting year of the time period
3. Ending year of the time period
4. GRIIS status for species (Native, Introduced, Invasive)
5. Count of all occurrence records in the region and status for the given period
6. Count of all distinct species in the region and status for the given period

Summary of terrestrial environmental monitoring and observation effort by networks associated with three Australian National Research Infrastructures from 2010 to the present organised by State/Territory, IBRA region, feature type and year.

Metadata records were aggregated from biodiversity survey events from the Atlas of Living Australia (ALA, https://ala.org.au/), marine observations collected by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and site-based monitoring and survey efforts by the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/). See Aggregated Data: Environmental Monitoring and Observations Effort for information on the metadata included.

To find out more about this dataset visit: https://ecoassets.org.au/data/summary-data-monitoring-and-observations-effort-by-terrestrial-ecoregion/

This collection contains aggregated metadata on environmental monitoring and observing activities from three Australian national research infrastructures (NRIs): biodiversity survey events from the Atlas of Living Australia (ALA), marine observations collected by the Integrated Marine Observing System (IMOS), and site-based monitoring and survey efforts by the Terrestrial Ecosystem Research Network (TERN). This dataset provides a summary breakdown of these efforts by survey topic, region, and time period from January 2010 to March 2023.

Survey topics are mapped to an EcoAssets Earth Science Features vocabulary based on the Earth Science keywords from the Global Change Master Directory (GCMD) vocabulary, modified to use taxonomic concept URIs from the Australian National Species List (ANSL) in place of the GCMD Earth Science > Biological Classification vocabulary. ANSL categories map more readily to biodiversity survey categories, since GCMD depends on a top-level division between vertebrates and invertebrates rather than offering an animal category. The EcoAssets Earth Science Features vocabulary, including alternative keywords used in ALA, IMOS, or TERN datasets, is included in this collection.

The primary asset is aggregated_env_monitoring.csv. This contains all faceted data records for the period and supported facets related to time, space, and features observed.

Two derived assets (summary_monitoring_effort_terrestrial.csv, summary_monitoring_effort_marine.csv) further summarise the faceted data. Each is a pivot of the aggregated dataset.

vocabulary_earth_science_features.csv contains the hierarchical terms used within this asset to categorise earth science features. treeview_earth_science_features.txt provides a simpler, more readable view. keyword_mapping.csv shows the mappings between these terms and the keywords used in source datasets. The data_sources.csv file includes information on the source datasets that contributed to this asset. Lineage: This dataset was created by the following pipeline:

1. Metadata records were collected from the TERN linked data portal (https://linkeddata.tern.org.au/) for all TERN monitoring sites and survey activities. Feature terms follow the TERN Feature Type vocabulary, mapped to the EcoAssets Earth Science Features vocabulary. For features that have been measured continuously at the site, metadata records were created for each relevant year since commission of the site. For other sites and features, metadata records were generated only for years in which the site was visited. TERN metadata records are associated with site coordinates.

2. Metadata records were harvested for datasets in the Australian Ocean Data Network (AODN, https://portal.aodn.org.au/) portal maintained by IMOS (iso19115-3.2018 format over OAI-PMH). Feature terms follow the GCMD keywords used in these metadata records. Metadata records were created for each year overlapping the data collection period for each dataset. Where the datasets were associated with a bounding box, records were created for each IMCRA region intersecting the bounding box.

3. Metadata records were created for each biodiversity sample event published to the ALA and associated with a Darwin Core event ID and a named sampling protocol (see https://dwc.tdwg.org/terms/#event). Events were excluded if the set of sampled taxa included multiple kingdoms OR the sampling protocol was associated with <50 samples OR no sample included >1 species. The remaining samples were mapped to feature terms based on the taxonomic scope of all species recorded for the associated protocol. Year and coordinates were taken from the associate sample event.

4. Metadata records from all sources were combined and include the following values. The feature facet values are offered as a convenience for grouping records without using the hierarchical structure of the EcoAssets Earth Science Features vocabulary:

• Source National Research Institute (NRI – one of ALA, IMOS, TERN) • Dataset name • Dataset URI • Original keyword from NRI (TERN feature type, IMOS GCMD keyword, ALA taxon) • Decimal latitude (where appropriate) • Decimal longitude (where appropriate) • Year • State or Territory • IBRA7 terrestrial region • IMCRA 4.0 mesoscale marine bioregion • Feature ID from EcoAssets Earth Science Features vocabulary • Feature name associated with feature ID • Feature facet 1 – high-level facet based on feature ID – a top-level GCMD Earth Science category (6 terms) • Feature facet 2 – intermediate-level facet based on feature ID – second-level GCMD/ANSL category (29 terms) • Feature facet 3 – lower-level facet with more fine-grained taxonomic structure based on feature ID – typically a third-level GCMD/ANSL category (36 terms)

Summary of species occurrence data from 1900 to 2020 for Australian terrestrial species organised by IBRA region and EPBC status. Counts are provided by species and IBRA region for:

1. The total number of occurrence records within the region, for a given EPBC status and time period
2. The number of distinct species recorded within the region, for a given EPBC status and time period Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA, https://ala.org.au/) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/).

To find out more about this dataset, visit: https://ecoassets.org.au/data/summary-data-threatened-species-occurrences-by-terrestrial-ecoregion/

DOI: https://doi.org/10.26197/ala.160f789e-ee11-45c0-93c3-5c87318d78c0

This data package contains continuous acoustic sensor data recorded from the 1 hectare Terrestrial Ecosystem Research Facility vegetation plot at the Samford Ecological Research Facility. Data is in WAV format recorded at 22, 050 Hz. Acoustic recordings are available for listening and download at http://bioacoustics.supersites.net.au/

Summary of species occurrence data from 1900 to 2020 for Australian marine species organised by IMCRA region and EPBC status. Counts are provided by species and IMCRA region for:

1. The total number of occurrence records within the region, for a given EPBC status and time period
2. The number of distinct species recorded within the region, for a given EPBC status and time period

Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA, https://ala.org.au/) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/).

To find out more about this dataset, visit: https://ecoassets.org.au/data/summary-data-threatened-species-occurrences-by-marine-ecoregion/

_ DOI: https://doi.org/10.26197/ala.2f745938-a1f9-408c-942f-7d246860d313_

Summary of species occurrence data from 1900 to 2020 for Australian marine species organised by IMCRA region and status as an introduced or invasive species using the Global Register of Introduced and Invasive Species (GRIIS) list for Australia. Counts are provided by species and IMCRA region for:

1. The total number of occurrence records within the region, for a given GRIIS status and time period
2. The number of distinct species recorded within the region, for a given GRIIS status and time period

The GRIIS list identifies species that are known or believed to have been introduced to Australia. Species that are not included in the GRIIS Australia list are treated here as native species. The GRIIS list also identifies a subset of introduced species as invasive species based on knowledge that these species have had a harmful impact. This dataset organises species occurrences using these GRIIS data to assign species to one of three categories:

1. Native – not an introduced species
2. Introduced – an introduced species that is not considered invasive
3. Invasive – an introduced species that is considered invasive

The GRIIS lists have been compiled by experts with knowledge of introduced and invasive species in each country and are still being improved. It should particularly be noted that version 1.6 of the GRIIS Australia list includes a number of species which are native to Australia but which have been translocated to new parts of the country for conservation purposes. In future versions of the GRIIS Australia list, these species will be appropriately identified and can be excluded as required. This is important since the list does not indicate the areas in which the species is considered to have been introduced (including translocated). These species were manually excluded before the dataset was generated, but this version should be treated with caution. Future versions of this dataset will benefit from improvements to the GRIIS Australia list.

Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA, https://ala.org.au/) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/).

To find out more about this dataset, visit: https://ecoassets.org.au/data/summary-data-introduced-species-occurrences-by-marine-ecoregion/

DOI: https://doi.org/10.26197/ala.91179dd6-d56e-404f-97a7-ea6382307a17

Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk). This data package contains acoustic sensor data recorded at the TERN Victorian Dry Eucalypt SuperSite, Wombat Forest. Data is in WAV format recorded at 22,050 Hz in stereo. Recordings are available for listening and download at https://bioacoustics.tern.org.au/

Map showing images of Australia derived from remotely sensed data, specifically the proportion of bare soil, photosynthetically active vegetation and non-photosynthetically active vegetation for April in 2015. The underpinning data has been obtained through TERN AusCover (http://www.auscover.org.au).

TERN is Australia’s land-based ecosystem observatory delivering data streams to enable environmental research and management (TERN, http://www.tern.org.au). TERN is a part of Australia’s National Collaborative Research Infrastructure Strategy (NCRIS, https://www.education.gov.au/national-collaborative-research-infrastructure-strategy-ncris).

Map prepared by the Department of Environment and Energy in order to produce Figure LAN22 (b) in the Land theme of Australia State of the Environment 2016 available at http://www.soe.environment.gov.au

The map service can be viewed at: http://soe.terria.io/#share=s-dfHfZUIn5ee2sW3H0jMjMn6tgV8

Downloadable spatial data also available below.

Summary of species occurrence data from 1900 to the present for Australian terrestrial species organised by IBRA region and CAPAD protection status. Counts are provided by species and IBRA region for:

1. The number of records showing evidence of the species’ presence inside the region
2. The number of records showing evidence of the species’ presence within CAPAD 2020 protected areas inside the region
3. The number of records showing evidence of the species’ presence within the protected areas under indigenous management within the region

The first count includes all records in the second count and the second count includes all records in the third count. The counts in this dataset allow for some simple comparisons between the numbers of species recorded inside and outside protected areas in each region and comparison of the species in each region. Inclusion of EPBC statuses allows comparisons based on conservation status. Note however that such counts may not accurately reflect real differences in biodiversity. It is important to consider confounding factors (particularly variations in recording effort over time).

Occurrence records were aggregated and organised by the Atlas of Living Australia (ALA, https://ala.org.au/) and include survey and monitoring data collected and managed by the Integrated Marine Observing System (IMOS, https://imos.org.au/) and the Terrestrial Ecosystem Research Network (TERN, https://tern.org.au/).

To find out more about this dataset, visit: https://ecoassets.org.au/data/summary-data-protection-status-for-australian-terrestrial-species-occurrences/

DOI: https://doi.org/10.26197/ala.445c74bb-89f2-415e-9e5b-0e38e9c7ee1e

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This dataset is the average clay content of the top 2m of soil over the Sydney Basin. It is derived from the TERN digital soil mapping (http://www.tern.org.au/Soil-and-Landscape-Grid-of-Australia-pg17731.html).

Purpose

This dataset was created to estimate groundwater recharge in the alluvial areas of the Sydney Basin using the empirical method of Wohling et al (2012).

Wohling DL, Leaney FW and Crosbie RS (2012) Deep drainage estimates using multiple linear regression with percent clay content and rainfall. Hydrol. Earth Syst. Sci. 16(2), 563-572. DOI: 10.5194/hess-16-563-2012.

Dataset History

This is a depth-weighted average of the clay content from 6 soil layers in the TERN digital soil mapping (http://data.bioregionalassessments.gov.au/dataset/f8640540-4bb7-42ee-995a-219881e67705).

It has then been re-projected to MGA94 Zone 56 and re-sampled to a 500m raster.

Dataset Citation

Bioregional Assessment Programme (XXXX) SYD Soil - Average Clay Content Top 2m v01. Bioregional Assessment Derived Dataset. Viewed 22 June 2018, http://data.bioregionalassessments.gov.au/dataset/95fc3145-5249-4bd4-bfd2-a812c39d68f9.

Dataset Ancestors

• Derived From Bioregional Assessment areas v02

• Derived From Gippsland Project boundary

• Derived From Bioregional Assessment areas v04

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From Bioregional Assessment areas v03

• Derived From Bioregional Assessment areas v05

• Derived From GEODATA TOPO 250K Series 3

• Derived From Soil and Landscape Grid National Soil Attribute Maps - Clay 3 resolution - Release 1

• Derived From Bioregional Assessment areas v01

• Derived From Bioregional Assessment areas v06

• Derived From Victoria - Seamless Geology 2014

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

This dataset is a collection of drone RGB and multispectral imagery from plots across Australia (AusPlots, SuperSites, Cal/Val sites to be established in the future). Standardised data collection and data processing protocols are used to collect drone imagery and to generate orthomosaics. The protocols developed in 2022 are based on the DJI Matrice 300 (M300) RTK drone platform. DJI Zenmuse P1 and MicaSense RedEdge-MX/Dual sensors are used with M300 to capture RGB and multispectral imagery simultaneously. The data is georeferenced using the DJI D-RTK2 base station and onboard GNSS RTK. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) are interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate co-registered RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. Mission-specific metadata for each plot is provided in the imagery/metadata folder. The Drone Data Collection and RGB and Multispectral Imagery Processing protocols can be found at https://www.tern.org.au/field-survey-apps-and-protocols/ .

Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk). This data package contains acoustic sensor data recorded from within the vicinity of the Core 1 hectare at the TERN SEQ Peri-urban SuperSite at the Karawatha Forest Park, Brisbane. Data is in WAV format recorded at 44,100 Hz in stereo. Recordings are available for listening and download at https://bioacoustics.tern.org.au/

AusPlots is the core program delivered by TERN Surveillance. AusPlots is a plot-based surveillance monitoring program, undertaking baseline assessments of ecosystems across the country. The aim of AusPlots is to establish and maintain a national network of plots that enables consistent ecological assessment and ongoing monitoring. The AusPlots network collects a range of field data for integration with other existing data sources and current knowledge. More information about TERN Surveillance can be found at their website - https://www.tern.org.au/tern-observatory/tern-ecosystem-surveillance/

As of 2020 there are about 690 active AusPlot sites distributed across Australia.

During 2018 to 2019, most of the soil specimens collected at the AusPlots sites were scanned with an ASD portable vis-NIR spectrometer (PANalytical Inc., Boulder, CO, USA). As there is a specific field data collection protocol carried out at each site i.e., numerous spatial distributed samples collected in a grid-design of specified dimensions, this meant a substantial number of specimens to scan. In total there were 19,380 vis-nir spectra collected. The scanning was done at CSIRO Waite Campus with a CSIRO owned vis-NIR spectrometer.

Accompanying the soil vis-NIR library is a dataset of analytical soil measurements for 367 soil specimens selected the Ausplots soil specimen archive.

Lineage: The condition of the soil for vis-NIR data collection was: Air-dried and ground to <2mm

Soil vis-NIR spectra were collected using a Labspec ASD portable vis-NIR spectrometer (PANalytical Inc., Boulder, CO, USA) Serial # 4103.

Measurement units of the soil vis-NIR spectra is reflectance and is output to 1nm spectral resolution. The data ranges from 350-2500nm.

In total 367 specimens were selected and characterized in the laboratory. 21 of these were randomly selected and analysed as blind duplicates. The soil variables included: • Electrical conductivity (3A1; dS/m) • pH (4A1; 1:5 soil:water) • pH (4B4; 0.01M CaCl2) • Total soil carbon (6B2b; %) • Soil organic carbon (6B3b; %) • Total Nitrogen (7A8; %) • Calcium Carbonate (19B2; %) • Cation Exchange Capacity (15D2; Ammonium Acetate cmol(+/-)/kg) • Soil texture, clay silt and sand (P10; %) • Soil digestions (17A3; mg/kg): Ca, K, Mg, Na, S, Al, As, B, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, P, Pb, Sb, Se, Zn.

Lab methods associated to the codes above are described in Rayment and Lyons (2010) except for nitrogen (7AH) where Matejovic (1997) is the method reference.

References:

Rayment, G, Lyons, DJ (2010) 'Soil Chemical Methods - Australasia.' (CSIRO Publishing). Matejovic, I., 1997. Determination of carbon and nitrogen in samples of various soils by the dry combustion. Communications in Soil Science and Plant Analysis 28(17-18), 1499-1511.

Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk). This data package contains acoustic sensor data recorded at the TERN Litchfield Savanna SuperSite, Site 1 and Site 2. Data is in WAV format recorded at 44,100 Hz in stereo. Recordings are available for listening and download at https://bioacoustics.tern.org.au/

Daily climate record for Warra Supersite. Visit https://dataone.org/datasets/supersites.tern.org.au%2Fknb%2Fmetacat%2Flloyd.287.12%2Fhtml for complete metadata about this dataset.

This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in pasture using eddy covariance techniques. The Samford flux station …Show full descriptionThis dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in pasture using eddy covariance techniques. The Samford flux station is situated on an improved (Paspalum dilatum) pasture in the humid subtropical climatic region of coastal south-east Queensland. Located only 20km from the centre of Brisbane city, Samford Valley provides an ideal case study to examine the impact of urbanisation and land use change on ecosystem processes. The valley covers an area of some 82km2 and is drained in the southern regions by the Samford creek, which extends some 13km to Samford Village and into the South Pine River. The Samford Valley is historically a rural area experiencing intense urbanisation, with the population increasing almost 50% in the 10 years to 2006 (Morton Bay Regional Council, 2011). Within the Samford valley study region, the Samford Ecological Research Facility (SERF) not only represents a microcosm of current and historical land uses in the valley, but provides a unique opportunity to intensively study various aspects of ecosystem health in a secure, integrated and long term research capacity. Mean annual minimum and maximum temperatures at a nearby Bureau of Meteorology site are 13.1°C and 25.6°C respectively while average rainfall is 1102mm. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/samford-peri-urban-supersite/ . This data is also available at http://data.ozflux.org.au .

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Location of Terrestrial Ecosystem Research Network Monitoring Sites. TERN aims to connect and enable ecosystem scientists to collect, contribute, store, share and integrate data across disciplines.

Purpose

To locate Terrestrial Ecosystem Research Network Monitoring Sites.

Dataset History

TERN AusPlots sites downloaded from the AEKOS data portal 15/11/13 Citation: TERN AusPlots, ( 2015 ) Terrestrial Ecosystem Research Network AusPlots - Ausplots Rangelands Survey Program (biodiversity mapping supplement/subset). Adelaide, South Australia. AEKOS - TERN Ecoinformatics. , DOI: 10.4227/05/54C1B45A4CF2F see http://portal.aekos.org.au/dataset/172373

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Terrestrial Ecosystem Research Network Monitoring Sites - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/c826109d-add0-45d4-9a77-39f672b48980.

The datafile, published by the Terrestrial Ecosystem Research Network (TERN) contains the composition and abundance of airborne pollen for the location of Murdoch University, Perth, Australia. The data was collected for the period between September 2006 to December 2006 as part of a study of atmospheric particles and human health. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas” ). Airborne pollen counts were derived from deployment of a Burkhardt volumetric pollen and spore trap located on a rooftop at 15m above the ground. The sampler used a range of adhesive surface compounds on glass slides. The glass slides were stained with fuchsine. Analysis of each 24-hr period is conducted by counting three transects at 400 magnification. The data are summed to provide an average weekly pollen count. For more information please visit the Australian Centre for Ecological Analysis and Synthesis (ACEAS) Data Portal. Please note: AURIN has spatially enabled the original data, acquired via the ACEAS Data Portal with permission from TERN.