This data package consists of standardised vegetation condition measurements from the Nanangroe Plantation, NSW. Surveys are done every five years in three vegetation structure plots (20 m × 20 m) nested within the 2-ha sites. This survey measures ground cover, percentage of vegetation cover, species richness and structural measurements for each plot. The principle objective of the Nanangroe study is to directly quantify changes in woodland vertebrate assemblages and their relationships with habitat variables when the surrounding landscape matrix is converted from a semi-cleared grazing landscape to a landscape dominated by an exotic softwood plantation. The study area is located in the Southwest Slopes of NSW west of Lake Burrinjuck and includes four exotic Pine Plantations (Nanangroe, Cotway, East Bungongo and Bungongo), as well as private properties adjacent those plantations. Repeated sampling of the vegetation structure and cover and selected vertebrate groups on all sites from 1998 has created a long term dataset. A synopsis of related data packages which have been collected as part of the Nanangroe Plantation Forest Plot Network’s full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/nanangroe-plantation.

The Three Parks Savanna Fire-Effects Network was established in 1994 with the primary aim of training management staff and assisting with the development of adaptive approaches to conservation-based fire management in regional savanna systems. The full program assesses fire regimes and their impacts on plant and vertebrate biodiversity components. The program comprises two complementary elements –mapping of fire histories based upon interpretation of satellite imagery, and assessment of vegetation and faunal components at a large series of permanent monitoring plots located across respective parks. The vegetation data comprises quantitative assessment of all species in three major strata within 800 square meter plots. Faunal assessments are undertaken in the immediate vicinity of respective plots. The occurrence of fire is assessed bi-annually on-ground and satellite derived fire mapping is conducted three times a year. A full inventory of vegetation is undertaken every five years. Terrestrial vertebrates are monitored systematically but on an irregular and less frequent basis. This dataset comprises the vegetation sampling data from the 133 plots located in Kakadu National Park. *Note: Plots are located within a National Park and physical access to the plots is restricted. *Note: This package used to be called "Monitoring the impacts of fire regimes on vegetation in northern Australia: Plot based vegetation sampling data, Kakadu National Park, Northern Territory Australia, 1994–2013", but was relabelled for consistency.

The Three Parks Savanna Fire-Effects Network was established in 1994 with the primary aim of training management staff and assisting with the development of adaptive approaches to conservation-based fire management in regional savanna systems. The full program assesses fire regimes and their impacts on plant and vertebrate biodiversity components. The program comprises two complementary elements - mapping of fire histories based upon interpretation of satellite imagery, and assessment of vegetation and faunal components at a large series of permanent monitoring plots located across respective parks. The vegetation data comprises quantitative assessment of all species in three major strata within 800 square metre plots. Faunal assessments are undertaken in the immediate vicinity of respective plots. The occurrence of fire is assessed bi-annually on-ground and satellite derived fire mapping is conducted three times a year. A full inventory of vegetation is undertaken every five years. Terrestrial vertebrates are monitored systematically but on an irregular and less frequent basis. This dataset comprises vegetation sampling data collected in April 2013 which is a subset of the fifth sampling visit to the 133 plots located in Kakadu National Park. *Note: Plots are located within a National Park and physical access to the plots is restricted. **Note: This package used to be called "Monitoring the impacts of fire regimes on vegetation in northern Australia: Plot based vegetation sampling data, Kakadu National Park, Northern Territory Australia, April 2013" but has been relabelled for consistency.

The Three Parks Savanna Fire-Effects Network was established in 1994 with the primary aim of training management staff and assisting with the development of adaptive approaches to conservation-based fire management in regional savanna systems. This dataset comprises the vegetation sampling data from the 220 plots located across the Three Parks Savanna Fire-effects Plot Network, of which 133 are in Kakadu National Park, 41 in Litchfield National Park and 46 in Nitmiluk National Park. The vegetation data consists of the quantitative assessment of all species in three major strata within 800 square meter plots. Plots are positioned to investigate environmental changes in areas of interest by land managers and may reveal environmental dynamics. Plots are located in a variety of landform and vegetation type / habitats and conditions, and may be in vicinity of intensively managed sites such as camp grounds and other tourist attractions. Areas also include ecotones and patches of fire-sensitive vegetation such as stands of Callitris and sandstone heaths. The full program assesses fire regimes and their impacts on plant and vertebrate biodiversity components. The program consists of two complementary elements – mapping of fire histories based upon interpretation of satellite imagery, and assessment of vegetation and faunal components at a large series of permanent monitoring plots located across respective parks. *Note: Plots are located within a National Park and physical access to the plots is restricted.

The data set contains information on the Habitat structure of the Karawatha Peri-urban site, southeast Queensland. There are two data sets: 1) information on Canopy cover percentage from the study plots and 2) information on the Ground cover properties such as the number of hits/strikes of the 'bare ground', 'rock', 'herbs', 'grass', 'shrubs', 'trees' and 'cwd', along each transect in the core plot.

The dataset accompanies the paper by Zemunik et al. (2015), which used the Jurien Bay dune chronosequence to investigate the changes in the community-wide suite of plant nutrient-acquisition strategies in response to long-term soil development. The study was located in the Southwest Australian biodiversity hotspot, in an area with an extremely rich regional flora. The dataset consists of both flora and soil data that not only allow all analyses presented in the paper (Zemunik et al. 2015) to be independently investigated, but also would allow further exploration of the data not considered or presented in the study. The study used a randomised stratified design, stratifying the dune system of the chronosequence into six stages, the first three spanning the Holocene (to ~6.5 ka) and oldest spanning soil development from the Early to Middle Pleistocene (to ~2 Ma). Floristic surveys were conducted in 60 permanent 10 m × 10 m plots (10 plots in each of six chronosequence stages). Each plot was surveyed at least once between August 2011 and March 2012, and September 2012. To estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Surface (0-20 cm) soil from each of the 420 subplots was collected, air dried and analysed at the Smithsonian Tropical Research Institute in Panama, for a range of chemical and physical properties, the main ones of which were considered in this paper being total and resin soil phosphorus, total nitrogen and dissolved organic nitrogen, soil total and organic carbon, and pH (measured in H20 and CaCl2). However, other soil data are also presented in the dataset. Nutrient-acquisition strategies were determined from the literature, where known, and from mycorrhizal analyses of root samples from species with poorly known strategies. Most of the currently known nutrient-acqusition strategies were found in the species of the chronosequence. Previous studies in the Jurien Bay chronosequence have established that its soil development conforms to models of long-term soil development first presented by Walker and Syers (1976); the youngest soils are N-limiting and the oldest are P-limiting (Laliberté et al. 2012). However, filtering of the regional flora by high soil pH on the youngest soils has the strongest effect on local plant species diversity (Laliberté et al. 2014). <br></br> References: [1] Zemunik, G., Turner, B., Lambers, H. et al. Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants 1, 15050 (2015). https://doi.org/10.1038/nplants.2015.50 ; [2] T.W. Walker, J.K. Syers. The fate of phosphorus during pedogenesis Geoderma, 15 (1) (1976), pp. 1-19, 10.1016/0016-7061(76)90066-5 ; [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & Lambers, H. (2012); [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.-H., Zemunik, G. and Lambers, H. (2012), Experimental assessment of nutrient limitation along a 2-million-year dune chronosequence in the south-western Australia biodiversity hotspot. Journal of Ecology, 100: 631-642. https://doi.org/10.1111/j.1365-2745.2012.01962.; [4] Laliberté E, Zemunik G, Turner BL. Environmental filtering explains variation in plant diversity along resource gradients. Science. 2014 Sep 26;345(6204):1602-5. doi: 10.1126/science.1256330.

This dataset provides understorey herbaceous biomass, ground cover and overstorey woody cover response to different fire regimes over a twenty year period at a grassland and open woodland in the tropical savannas of northern Australia. BOTANAL was used to assess understorey herbaceous biomass. Woody canopy cover was derived from digital analysis of oblique aerial imagery taken from a helicopter at the site in 1995 and again in 2013. Woody cover (tree basal area and canopy cover) was also assessed using a bitterlich gauge on BOTANAL ground based transects in 2009. The data could be used to calibrate models of herbaceous growth and woody cover change in response to long term fire. It may be useful for assessing climate change impacts on aboveground carbon sequestration. The fire regimes tested were of varying frequency (every 2, 4 and 6 years) and season (June vs. October) of fire compared to unburnt controls on woody cover and pasture composition. Sites were open to grazing by cattle.

<p>The dataset contains raw records on the frequency and % cover of Australian plant species stored in TERN's AEKOS as at 23 February 2017. There is information on basal area data in addition.The data includes plant records for the following datasets: [1] Australian Ground Cover Reference Sites Database, [2] Biological Survey of South Australia - Vegetation Survey - Biological Database of South Australia, [3] Atlas of NSW database: VIS flora survey module, [4] Queensland CORVEG Database, [5] TERN AusPlots Rangelands, [6] Transects for Environmental Monitoring and Decision Making (TREND) (2013-present) and the [7] TREND-Biome of Australia Soil Environments (BASE). </p> Soil samples for physical structure and chemical analysis (14 sites) throughout Australia were also incorporated in addition (starting 2013). The sites were: [1] AusCover Supersites SLATS Star Transects, [2] Biological Survey of the Ravensthorpe Range (Western Australia), [3] Biological Survey of South Australia - Roadside Vegetation Survey, [4] Biological Database of South Australia, [5] South-Western Australian Transitional Transect (SWATT), [6] Koonamore Vegetation Monitoring Project (1925-present), [7] Desert Ecology Research Group Plots (1990-2011) and Long Term Ecological Research Network (2012-2015), Simpson Desert, [8] Western Queensland, Australia (plants only) and [9] the TERN AusPlots Forest Monitoring Network - Large Tree Survey - 2012-2015. In total, 97,035 sites were extracted and downloaded for individual and population levels. The download package contains site location files, separate data files for individual and population levels, citation details for individual surveys and notes on how to interpret the download.

The forest fuel survey dataset comprises site-level summary data from the well-designed fuel load surveys across 48 AusPlots Forests- 1-ha monitoring plots across Australia. Data presented here includes data on the surface, near-surface, and elevated fuel loads for each of the Forest Ausplots. It includes iButton data on 1) temperature and humidity, 2) data on litterfall and 3) decomposition rates. We also provide additional information on soil nutrient data, species composition of the understorey and midstorey, and panorama photos from the plot centre. This dataset is the second version of the <i> AusPlots Forest Fuel Survey site-level data summary, 2014 - 2015. Version 1.0.0. Terrestrial Ecosystem Research Network.</i> (dataset). <em>https://doi.org/10.25901/efnh-sk06</em>

The dataset accompanies the paper by Zemunik et al. (2016), which used the Jurien Bay dune chronosequence to investigate the changes in the plant community diversity and turnover in response to long-term soil development. The Jurien Bay chronosequence is located in the Southwest Australian biodiversity hotspot, in an area with an extremely rich regional flora. The dataset consists of both flora and soil data that allows all analyses presented in the paper (Zemunik et al. 2016) to be independently investigated. The dataset is an update to that previously supplied for a prior study (Zemunik et al. 2015; DOI 10.4227/05/551A3DDE8BAF8). The study used a randomised stratified design, stratifying the dune system of the chronosequence into six stages, the first three spanning the Holocene (to ~6.5 ka) and oldest spanning soil development from the Early to Middle Pleistocene (to ~2 Ma). Floristic surveys were conducted in 60 permanent 10 m × 10 m plots (10 plots in each of six chronosequence stages). Each plot was surveyed at least once between August 2011 and March 2012, and September 2012. To estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Surface (0-20 cm) soil from each of the 420 subplots was collected, air dried and analysed at the Smithsonian Tropical Research Institute in Panama, for a range of chemical and physical properties: total and resin soil phosphorus; total nitrogen and dissolved organic nitrogen; soil total and organic carbon; exchangeable calcium (Ca), iron (Fe), potassium (K), magnesium (Mg), manganese (Mn) and sodium (Na); Mehlich-III extractable iron, magnesium, copper (Cu) and zinc (Zn); and pH (measured in H20 and CaCl2). Nutrient-acquisition strategies were determined from the literature, where known, and from mycorrhizal analyses of root samples from species with poorly known strategies. Most of the currently known nutrient-acqusition strategies were found in the species of the chronosequence. Previous studies in the Jurien Bay chronosequence have established that its soil development conforms to models of long-term soil development first presented by Walker and Syers (1976); the youngest soils are N-limiting and the oldest are P-limiting (Laliberté et al. 2012). However, filtering of the regional flora by high soil pH on the youngest soils has the strongest effect on local plant species diversity (Laliberté et al. 2014). The update involved modification to species names due to taxonomic changes and the inclusion of additional soil analyses, not present in Zemunik et al. (2015). The additional soil variables (additional to DOI 10.4227/05/551A3DDE8BAF8) were exchangeable Ca, K, Al, Mg, Mn and Na, measured for all 420 subplots; and Cu, Fe, Mn and Zn, extracted in Mehlich III solution, for each of the 60 plots. References Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & Lambers, H. (2012) Experimental assessment of nutrient limitation along a 2-million-year dune chronosequence in the south-western Australia biodiversity hotspot. Journal of Ecology, 100, 631-642. Walker, T.W. & Syers, J.K. (1976) The fate of phosphorus during pedogenesis. Geoderma, 15, 1-19. Zemunik, G., Turner, B.L., Lambers, H. & Laliberté, E. (2015) Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants 1, Article number: 15050, 1-4. Zemunik, G., Turner, B.L., Lambers, H. & Laliberté, E. (2016) Increasing plant species diversity and extreme species turnover accompany declining soil fertility along a long-term chronosequence in a biodiversity hotspot. Journal of Ecology.