This data contains soil physico-chemical characteristics collected at the Warra Tall Eucalypt site in 2012.

This data contains soil description, bulk density and soil moisture characteristics collected at the Calperum Mallee site in 2012.

<br>The aim of this project is to compile land use and management practices and their observed and measured impacts and effects on vegetation condition. The results provide land managers and researchers with a tool for reporting and monitoring spatial and temporal transformations of Australia’s native vegetated landscapes due to changes in land use and management practices. Following are the details about South Brooman State Forest, NSW. </br><br> Pre-European reference-analogue vegetation: The site was originally eucalypt tall open forest, multi-aged open, dry sclerophyll forest. The main overstorey species were spotted gum (<em>Corymbia maculata</em>), <em>Eucalyptus muelleriana</em>, <em>E. paniculata</em>, <em>E. pilularis</em>. The main understorey species were <em>Acacia spp.</em>, <em>Acmena spp.</em> </br><br> Brief chronology of changes in land use and management:<ul style="list-style-type: disc;"> <li>1830: Unmodified</li> <li>1880: Area picked over for high quality sawlogs</li> <li>1945: Area picked over for high quality sawlogs</li> <li>1949: Sawlog harvesting - 85% of area</li> <li>1959: Sawlog harvesting - 85% of area</li> <li>1968: Commercial Thinning - 25% of area</li> <li>1969: Area left to rehabilitate</li> <li>1994: Wildfire - 100% of the area</li> <li>1996: Pole harvesting - 5% of area</li> <li>1998: Sawlog harvesting - 20% of the area</li> <li>1999 and 2003: Hazard reduction</li> <li>1997: Site was burnt (prescribed fire) followed by drought</li> <li>2004-2011: Area left to rehabilitate</li></ul></br>

This dataset contains bird occurrence data collected at the Litchfield Savanna site in 2015.

Destructive sampling of 47 <em>Eucalyptus obliqua</em> trees was carried out in the Warra Tall Eucalypt site to determine a range of biomass measures that can be used to inform allometric equations.

This dataset contains spatial layers describing Forest Connectivity from 1995-2019, in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. Forest Connectivity accounts for the general quality of terrestrial habitats supporting biodiversity at each location, the fragmentation of habitat within its neighbourhood and how its position in the landscape contributes to connectivity among the habitats across a region. <br> These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2020). These base grids are Landsat in origin and have a resolution of 25m. <br> Forest Connectivity, including canopy cover connectivity and fragmentation is concerned and linked to forest condition. Concepts applied are to be aligned with definitions as found in the NSW Biodiversity Indicator Program (BIP) and the Spatial Links methodology for calculating connectivity.<br> Base cover extent grids used are from the NSW RFA Historic Forest Canopy Cover Extent – 1995 to 2019 product. <br> Read more about the project on the Natural Resources Commission website:<br> https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1<br> This dataset is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Connectivity - 1995 to 2020'

This record contains data on the leaf level physiology, chemistry and structural traits from the Robson Creek Site, Far North Queensland measured in 2012. There are two data sets provided: 1) response variables containing parameters associated with photosynthetic light response curves (Al) and 2) response variables containing parameters associated with photosynthesis and intercellular carbon dioxide curves (ACi).

This data contains vegetation cover, ground cover, tree density and stand basal area data across a multi-century time-since-fire sequence derived from growth ring-size relationships in fire-sensitive <em>Eucalyptus salubris</em> woodlands.

Seedling surveys were conducted at the Tumbarumba Wet Eucalypt site in 2015. The identity and height of all seedlings were recorded along six 20 m x 1 m transects in the core 1 ha plot.

This dataset contains a series of spatial outputs describing probabilistic species predictive occupancy (Species Occupancy Models, or SOM) & habitat suitability (Maximum Entropy, or Maxent) surfaces, the underlying data used to calculate these models & model projections predicting the impact of climate change on flora Maxent surfaces. <br> Model outputs are combination outputs dependent on known species occurrence in the landscape, the species relationship with environmental variables (covariates) such as temperature, rainfall and topography; and its predicted occurrence based on covariate analysis. Maxent models do not predict actual occupancy, but rather habitat suitability, while SOMs predict actual occupancy. confounding factors such as inter-species competition, geographical barriers and disturbance events play a significant role in species occurrence, and are not considered in Maxent or SOM. Flora Maxent climate change projections used NSW and Australian Regional Climate Modelling (NARCliM) variables to predict habitat suitability for a baseline year 2000 and projections for 2030 and 2070. <br> Covariates, Fauna & Flora survey records used to create the models are included. <br> More detailed information regarding each model, its processes and outputs are included in the dataset. <br> A web mapping application on the NSW Spatial Collaboration Portal depicts Maxent & SOM of a selected group of vulnerable Flora & Fauna from this dataset. Access the webapp through the link below: <br> https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459