Great Western Woodlands, WAACOO0024
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This data contains soil physico-chemical characteristics collected at the Great Western Woodlands site in 2012 and 2014.
The record contains information on the leaf level physiology, chemistry and structural traits data measured from dominant tree and shrub species from the Great Western Woodlands Site in 2013. Data on leaf level physiology parameters associated with light saturated photosynthesis and intercellular carbon dioxide curves (AC<sub>i</sub>), and leaf dry mass per leaf area trait (LMA) and leaf nitrogen and phosphorous content are provided.
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.