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<br>This dataset lists the plant communities from Rangeland sites across Australia described by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> <br> For each plant community, species richness, relative species abundance, vegetation condition as well as the spatial extent of the community, are described using AusPlots <a href="http://linked.data.gov.au/def/ausplots-cv/c5a32483-bf2f-421d-b03d-6d81e1195de2">Point intercept</a>, <a href="http://linked.data.gov.au/def/tern-cv/ae32af18-6c24-434b-ad0a-f5ac20a1d97e">Species richness</a>, <a href="http://linked.data.gov.au/def/tern-cv/a8892b89-e185-4098-87d8-8ecb65e9a167">Relative species abundance</a>, <a href="http://linked.data.gov.au/def/ausplots-cv/4c0dabaf-1771-465f-890f-be23337c530e">Plot and Physical Descriptions</a>, methods. Plant species are identified at every site as part of the AusPlots <a href="http://linked.data.gov.au/def/ausplots-cv/1d39b897-d6d3-40e9-8113-8ebeab2cd38e">Vegetation vouchering</a> method. The specimen data is updated with the identification date and authority details when species identification is confirmed by the Herbaria. <br />
We selected nine study sites, each incorporating three vegetation states: (a) fallow cropland, representing the restoration starting point, (b) planted old field (actively restored site), and (c) reference York gum (E. loxophleba) woodland. Plant species richness and cover All annual and perennial plant species were recorded in spring 2017 within each plot and identified to genus and species level where possible. Nomenclatures follow the Western Australian Herbarium (2017). A point intercept method previously demonstrated to provide objective and repeatable measures of cover (Godínez-Alvarez, Herrick, Mattocks, Toledo & Van Zee 2009; Prober, Standish & Wiehl 2011) was used to quantify cover of individual plant species, total vegetation cover and substrate types (i.e., bare ground, litter cover, plant cover). Ground cover, individual species, and canopy cover intercepting at every 2 m along four parallel, evenly spaced 50 m transects across each plot were recorded using a vertically placed dowel (8 mm wide, 2 m tall), resulting in 100 intercepting points per plot. For planted old fields, transects were placed parallel to planting rows, with two centred on rows and two centred between rows. This approximately represented the relative abundance of planted rows and non-planted inter-rows. If a species was recorded in the plot but did not intercept the dowel on any transect it was assigned 0.5 points. This method provided a measure of relative abundance (percentage cover) of plant species across the plot. To calculate species richness and cover across different life history and growth forms, species were classified into the following groups: total, native trees, native shrubs, native non – planted shrubs, native grasses, native perennial forbs, native annual forbs, exotic grasses and exotic annual forbs using the Western Australian Herbarium (2017) classification. Woody debris and leaf litter surveys Leaf-litter dry mass was estimated by collecting leaf-litter from five randomly placed 25 cm x 25 cm quadrats along two 50 m transects across each plot. Litter was stored in paper bags for transportation and then oven dried for 36 hours at 60 °C. The dried litter was weighed to 3 decimal points. Cover of fine and coarse woody debris and litter depth was estimated at every meter along two 20 m transects for each plot. Woody debris was classified by diameter. Length, max and min diameter was measured for all logs with a diameter greater than 10 cm.
Great Western Woodlands, Plant Functional Type Classification, Richness and Cover in Eucalyptus salubris Woodlands Across Time Since Fire Chronosequence, 2010-2011
This record contains information on the Plant Functional Type Classification, Richness and Cover in <i>Eucalyptus salubris</i> Woodlands, Great Western Woodland site. The data were generated across time since fire chronosequence, 2010-2011.
Great Western Woodlands, Changes in Plant Diversity Indices, Composition and Cover in Eucalyptus salubris Woodlands Across Time Since Fire Chronosequence, 2012
The data set contains information on plant diversity indices, species composition, vegetation cover and edaphic properties from the <i>Eucalyptus salubris</i> woodlands, Great Western Woodlands site. The data represents changes in plant diversity due to disturbance with time since fire in a chronosequence.
This dataset contains information on vegetation at a set of field sites along with associated environmental data extracted from spatial layers and selected ecological statistics. Measurements of vascular plants include species, growth form, height and cover from 1010 point intercepts per plot as well as systematically recorded absences, which are useful for predictive modelling and validation of remote sensing applications. The derived cover estimates are robust and repeatable, allowing comparisons among environments and detection of modest change. The field plots span a rainfall gradient of 129-1437 mm Mean Annual Precipitation ranging from aseasonal to highly seasonal. The dataset consists of a processed version the AusPlots Rangelands dataset with three components: 1) a site table with locality, environmental and summary ecology statistics for each plot; 2) a set of compiled point intercept records identified by individual hits, site visits and plots and; 3) a processed species percent cover against site/visit matrix for ecological analysis. The data have re-use potential for studies on vegetation properties in the Australian rangelands or as a species presence/absence dataset for testing ecological models. The dataset also provides opportunities for generic application such as testing community ecology theories or developing or demonstrating community ecology software, whether using the raw point by point intercept data or the derived percent cover matrix.
Dataset for abiotic and biotic responses to woody debris additions in restored old fields in a MBACI experiment
Experimental sites were established in the northern wheat-growing district of western Australia (Lat -29.66°, Long 116.18°) in August 2017, and monitored through to November 2019. We selected five planted old field sites with similar soil types and vegetation composition. Old fields were planted with York gum (Eucalyptus loxophleba Benth.) and dominant shrubs as understorey. At the time of sampling in 2017, vegetation age ranged from 8–13 years and distance from remnant measured 279 m (± 162 m). We established two control and two treatment plots, each measuring 5 m x 5 m, in the interrows of five planted old field sites. Both treatments were randomly assigned to plots within each site. Between August and early November 2017, we measured a total of 30 response variables at each of the control and treatment plots. Response variables included soil physical and chemical properties (bulk density, penetration resistance, soil moisture, nitrogen and carbon pools), microbial biomass, decomposition rate of roiboos and green tea as per the standardized Tea Bag Index (TBI) protocol, herbaceous vegetation cover and richness, and ant abundance and richness, as well as abundance and richness of ant functional groups.
TERN Surveillance monitoring program: Ecological Plot Survey Data and Samples collected from Field Sites across Australia
<p> AusPlots is a collection of ecological data and samples gathered from a network of plots and transects across Australia by the TERN Surveillance Monitoring team, using standardised methodologies. </p> <p>The AusPlots collection provides the ecological infrastructure to: </p> <ul><li>quantify the richness and cover of plant species (including weeds); </li><li>quantify the diversity and abundance of soil biodiversity; </li><li>assess the state, spatial heterogeneity and structural complexity of vegetation, including life-stage; </li><li>record vegetation and soil parameters that assist with the validation of remotely sensed ecological products;</li><li>analyse vegetation structure and change based on a series of photo reference images; </li><li>better estimate soil carbon and nutrient stocks; </li><li>conduct taxonomic validation studies based on collected plant voucher specimens; </li><li>conduct DNA barcoding and population genetic profiling based on collected tissue samples. </li></ul> <p> Overall this information will progress understanding of ecosystem processes, structure and function, and more generally progress understanding of the response to disturbance and longer-term environmental change of rangeland ecosystems, which underpins sustainable management practice.</p>.