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Litter and Groundstorey Vegetation Biomass Data

These data were collected as part of the NSW Grazing Study. All surface litter was collected from a single small quadrat (0.5m x 0.5m) at either 0m or 50m location along the 200m transect. Litter was oven-dried, divided into the following six components and weighed separately: overstorey leaves (shrubs and trees), groundstorey leaves, reproductive structures (seeds, flowers, capsules, nuts), woody components (sticks, bark), animal derived material (invertebrates, dung), and frass (< 2 mm diameter).

Calculation of plant biomass. Groundstorey vegetation biomass was calculated using an adaption of the comparative yield method (Haydock & Shaw, 1975) using photo-standards to assist in estimation of biomass. At each site all five small quadrats (0.5m x 0.5m) were photographed at a 45° angle about 1 m above the quadrat. After photographing we clipped, oven-dried and weighed all vegetative material rooted (living or dead) within either the 0m or the 50 m small quadrat (451 sites by one quadrat). Trained observers used the photographs to estimate groundstorey plant biomass for all quadrats, calibrating their estimation against the series of photographs of with known biomass. The harvested samples were used to assess accuracy of the estimations at each site and the observers estimates averaged, scaled across quadrats at a site to generate a site-level estimation of groundstorey biomass.

Data and Resources

Metadata Summary What is metadata?

Field Value
Metadata template type Non-geospatial
Asset Type Asset
Language English
Edition Original (raw data)
Purpose Decision support
Frequency of change Unknown
Keywords ECOLOGY,AGRICULTURE
Field of Research (optional) biota
Metadata Date 2013-01-07
Date of Asset Creation 2013-07-01
License Creative Commons Attribution 4.0
Geospatial Topic Biota
NSW Place Name Central West, Riverina and Western NSW
Extent

Dataset extent

Temporal Coverage From 2013-01-07 - 2014-04-30
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution Department of Planning and Environment asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and Department of Planning and Environment 2022"
DOI doi:10.25948/60a1c6a35414d
DOI Creator name James Val
DOI Resource Type Litter Survey
DOI Resource Type General Description Dataset