Sneddon Briggs and Doyle (2002) Little River Catchment Biodiversity Assessment. Broad scale mapping based multivatiate analysis of plot data modelled across landscpae and climate strata. (VIS_ID 911)

Field monitoring data from 2022 work at Theodore Roosevelt NP. Monitoring along Little Missouri River is conducted by the Northern Great Plains Inventory and Monitoring Network, beginning in 2022.

Real-time kinematic global navigation satellite systems equipment was used to map features of wetlands at six locations of interest to the Lower Brule Sioux Tribe. Items mapped include general cross-sections (primarily to show elevation differences); man-made features such as access roads, outlet control structures, and water-supply pipes; vegetation features such as edge of cattails or food plots, trees or tree clusters; and hydrologic features like edge of water, springs, and high water marks.

The National Rivers and Stream Assessment 2008-2009 and 2013-2014 diatom datasets and associated site information. This dataset is associated with the following publication: Riato, L., J. Stoddard, A. Herlihy, and K. Blocksom. Reduced count size can provide a robust and more efficient diatom assessment of environmental conditions. Journal of Applied Ecology. Blackwell Publishing, Malden, MA, USA, 61(9): 2308-2320, (2024).

Timeseries data from 'LITTLE RED DEER RIVER NEAR WATER VALLEY' (ca_hydro_05CB002)

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.

Combined vegetation maps relevant to the Riverina Bioregional Project. VIS_ID 4175