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TERN AusPlots Forest Monitoring Network – Large Tree Survey, 2012–2015 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 98343 times
Accessed 638 times
Dataset Created: 2015-03-23
Dataset Published: 2020-11-11
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPTERN EcoPlots APIHTTPdata_metagenomic.csvHTTPdata_site_description.csvHTTPdictionary_metagenomics.csvHTTPdictionary_site_description.csvHTTPTERN EcoPlots PortalHTTPLandscape Data Visualiser – TERN AusPlots Forest Monitoring NetworkHTTPAusplots_large_tree_survey_dataHTTPAusplots_large_tree_survey_data_dictionaryHTTPAusplots_large_tree_survey_site_level_biomass_dataHTTPro-crate-metadata.json
How to cite this collection:
Wood, S., Stephens, H. & Bowman, D. (2020). TERN AusPlots Forest Monitoring Network – Large Tree Survey, 2012–2015. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.4227/05/552486484985D 
The dataset comprises data from the first survey of ~24,000 large trees (>10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location, above-ground biomass); [5] Comments and ancillary information; and [6] List of Metagenomic Sample Identifiers. 
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. Funding was provided by Education Investment Fund (EIF). LD Prior (UTAS) assisted in the study design. J Foulkes (UA), B Sparrow (UA) and I Fox (UA) provided administrative support. 
Purpose
The AusPlots Forest Monitoring Network aims to establish a continental-scale plot based monitoring network that improves our understanding of tree growth, forest productivity and carbon dynamics in tall eucalypt forests in relation to continental-scale environmental gradients. This permanent plot network provides the infrastructure and data for tracking all aspects of forest dynamics (tree growth, mortality and recruitment) over long periods of time. Between 2012 and 2015, the AusPlots Forest Monitoring Network established 48 large 1 ha plots in mature, highly productive tall eucalypt forests across the Australian continent. Over 20,000 trees in Victoria, Tasmania, New South Wales, Queensland and Western Australia have been tagged, measured and located. 
Lineage
Data was collected as per the methods described in the Ausplots Forest Monitoring Network Survey Protocols Manual Version 1.6 (see links to associated resources) 
Method DocumentationData not provided.
Procedure Steps

1. 

Species identification: Field identification of all trees >10 cm diameter at breast height to genus and species level. Voucher specimens from unknown species (prefix UNN) were collected and submitted to local herbarium. [see Manual] 

2. 

Tree Description: All trees >10 cm diameter at breast height were described by field observation. The following information was collected for each tree: [1] Tree Condition (i.e. Live or Dead); [2] Tree Status (Multi-stem, Buttressed, Burnt, Hollow, etc.); [3] Growth Stage (Regeneration, Regrowth, Mature, Senescent, etc.); [4] Crown Class (Suppressed, Intermediate, Co-dominant, Dominant, etc.); [5] Mode of Death (Standing, Broken, Anthropogenic, Burnt, Lightning, etc.). [see Manual] 

3. 

Diameter measurement: For all trees >10 cm diameter at breast height, the diameter was measured (in centimeters) at an ascribed point of measurement with a diameter tape. The standard point of measurement was a height of 1.3 m, except in the case of buttressed or 'problem trees' whereby strict rules governed an alternative point of measurement. [see Manual] 

4. 

Tree Height measurement: For a subset of trees measured for diameter, the height to the top of the tree was measured (in meters) using trigonometric principles using a Vertex Hypsometer. The hypsometer calculates tree height using (a) horizontal distance to the tree and (b) angle to the top of the tree. Tree heights were collected across the observed diameter range for each plot.[see Manual] 

5. 

Height of Break: Visually estimated height of broken tree (Tree_Status=B), in meters. [see Manual] 

6. 

Tree location: For all trees >10 cm diameter at breast height, the distance from the 0,0 corner (in meters) along the X and Y axis was collected using a 100 m measuring tape and a electronic rangefinding device. 

7. 

Bole Height measurement: For a subset of trees measured for diameter, the height to the top of first substantial branch (i.e. Bole Height) was measured (in meters) using trigonometric principles using a Vertex Hypsometer. The hypsometer calculates Bole Height using (a) horizontal distance to the tree and (b) angle to the first substantial branch on the tree. Bole heights were collected across the observed diameter range for each plot.[see Manual] 

8. 

Sampling Design: Gradient Designs | Repeated Measures | Self-selected (Landscape Scale) Sampling 

9. 

Flora Sampling Technique: Quadrat/Plot/Grid 

10. 

Above-ground live biomass and above-ground dead biomass (kilograms) was calculated for each stem and aggregated to the site level (tonnes per hectare).  For all stems where diameter was measured at 1.3 m (or over) from ground level,  above-ground live biomass was calculated using generic tree, generic eucalypt and generic acacia allometric equations in table 4 from Paul et al 2013. The above ground live biomass of palm species were calculated using the generic palm (family-level) equation in table 3, in Goodman et al 2013. For stems where the diameter point of measurement was above 1.3 m, a taper model described in Philipson et al 2020 was applied to estimate an equivalent stem diameter at 1.3 m aboveground. To calculate above-ground dead biomass, a reduction factor of 85% of above-ground live biomass was used, as per Bennett et al 2013. 

Tall eucalypt forests including south-west Western Australia, Central and Southern Victoria, Northern and Southern New South Wales, Tasmania and Far North Queensland
Temporal Coverage
From 2012-01-23 to 2015-02-13 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
BIOLOGICAL SCIENCES
Ecology
Plant biology
GCMD Sciences
BIOSPHERE
BIOSPHERE - BIODIVERSITY FUNCTIONS
BIOSPHERE - COMMUNITY DYNAMICS
BIOSPHERE - ECOLOGICAL DYNAMICS
EARTH SCIENCE
HUMAN DIMENSIONS
HUMAN DIMENSIONS - ENVIRONMENTAL ASSESSMENTS
HUMAN DIMENSIONS - ENVIRONMENTAL GOVERNANCE/MANAGEMENT
Horizontal Resolution
100 meters - < 250 meters
Parameters
above-ground biomass
above-ground dead biomass
above-ground live biomass
bole height
crown class
growth form
stem diameter
stem height
tree break height
tree condition
tree mode of death
tree mortality
vegetation growth stage
Platforms
TERN AusPlots Forest
Temporal Resolution
one off
Topic
environment
User Defined
Acacia melanoxylon | Allocasuarina decussata | Allocasuarina torulosa | Corymbia intermedia | Eucalyptus andrewsii | Eucalyptus coccifera | Eucalyptus cypellocarpa | Eucalyptus dalrympleana | Eucalyptus delegatensis |
Biogeography | Long-Term Community Monitoring | Long-Term Species Monitoring | Macroecology
Ecosystem Assessment And Management (9605)
Environmental And Natural Resource Evaluation (9606)
Eucalyptus diversicolor | Eucalyptus fastigata | Eucalyptus grandis | Eucalyptus jacksonii | Eucalyptus microcorys | Eucalyptus obliqua | Eucalyptus ovata | Eucalyptus pilularis | Eucalyptus radiata |
Eucalyptus regnans | Eucalyptus resinifera | Eucalyptus sieberi | Eucalyptus viminalis | Monotoca glauca | Pomaderris apetala | Syncarpia glomulifera
Flora, Fauna and Biodiversity at Regional or Larger Scales (960805)
Tall Open Forests
Author
Wood, Samuel
Co-Author
Stephens, Helen
Bowman, David
Contact Point
Bowman, David
Publisher
Terrestrial Ecosystem Research Network
Wood, W. W., Stephens, H. C. & Bowman, D. M. (2015) Ausplots Forest Monitoring Network Establishment Report
Wood, S. W., Stephens, H. C., Foulkes, J, Ebsworth, E & Bowman, D. M. (2015). Ausplots Forest Monitoring Network Survey Protocols Manual Version 1.6
Wood, S. W., Prior, L. D., Stephens, H. C., & Bowman, D. M. (2015). Macroecology of Australian Tall Eucalypt Forests: Baseline Data from a Continental-Scale Permanent Plot Network. PloS one, 10(9), e0137811. https://doi.org/10.1371/journal.pone.01378
Christopher D. Philipson et al. (2020), Active restoration accelerates the carbon recovery of human-modified tropical forests. Science 369, 838-841
Bennett, L. T., C. Aponte, K. G. Tolhurst, M. Löw, and T. G. Baker. 2013. Decreases in standing tree-based carbon stocks associated with repeated prescribed fires in a temperate mixed-species eucalypt forest. Forest Ecology and Management 306:243-255.
Paul, K. I., Roxburgh, S. H., England, J. R., Ritson, P., Hobbs, T., Brooksbank, K., John Raison, R., Larmour, J. S., Murphy, S., Norris, J., Neumann, C., Lewis, T., Jonson, J., Carter, J. L., McArthur, G., Barton, C. and Rose, B. (2013) Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings. Forest Ecology and Management, 310 . pp. 483-494
Rosa C. Goodman, Oliver L. Phillips, Dennis del Castillo Torres, Luis Freitas, Sebastián Tapia Cortese, Abel Monteagudo, Timothy R. Baker, Amazon palm biomass and allometry, Forest Ecology and Management, Volume 310, 2013, Pages 994-1004
By Child records
TERN AusPlots Forest Monitoring Network - Forest Fuel Survey, 2014-2015
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Terrestrial Ecosystem Research Network
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
We ask you to send citations of publications arising from work that use these data to TERN at tern@uq.edu.au and citation and copies of publications to david.bowman@utas.edu.au 
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.
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Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
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