BIODIVERSITY FUNCTIONS
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The record contains information on the moth assemblages at canopy and ground level at five sites within a 25 ha plot, at Robson Creek Site, Far North Queensland. Data on moth taxonomic information and the number of individuals sampled from the ground and canopy are provided for the sampling years, 2009, 2010 and 2011.
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This is a collated plant survey data from the Fleurieu Peninsula wetlands (version.2). There is a biological and a spatial component to the dataset. [1] Biological data: This was collated from several sources, collected over the period 2000-2009 and used in the analyses for the paper <i>Diversity patterns of seasonal wetland plant communities mainly driven by rare terrestrial species</i> (Deane et al - Biodiversity and Conservation, DOI: <em>10.1007/s10531-016-1139-1</em>). Biological data were pre-processed to remove sampling bias (the method is described in the paper). Data are presence-absence of 215 native plant species (i.e., exotic species removed) from 76 seasonal wetlands (size range 0.5 - 35 ha) located on the Fleurieu Peninsula, South Australia (centred on latitude 35.5 °S). [2] Spatial data: For each of the 76 wetlands a small amount of spatial data is also provided. Area, centroids, elevation and catchment. The data could be of interest for any typical community data analysis (e.g. beta diversity, similarity, assembly), provided only native wetland plant species were of interest. Data were used to model extinction risk, species-area relationships, occupancy distributions and so on.
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There are presence absence records for vegetation and matched hydrological data from 687 1 x 1 m quadrats recorded from 11 wetlands and wetland complexes (28 sampled hydrological gradients (referred to as transects) across the upper and lower southeast of South Australia. Plant data were collected in spring 2013. Hydrological monitoring data at each site consisted of continuous (6 hourly) surface water level data from a state agency monitoring network. Observed water levels at the monitoring instrument on the day of monitoring were related to the observed depth of water at each quadrat, assuming a flat, level water surface and obtain a datum for each quadrat relative to the monitoring instrument. The continuous monitoring record was then used to calculate a range of different hydrological predictors indicating the variation at each quadrat. The hydrological dataset provided are the univariate summary statistics recording different aspects of surface water dynamics for each quadrat. Hydrological predictors (sum-exceedance value, hydroperiod and maximum inundation depth) were calculated for annual and seasonal periods in the three-years prior to plant data collection. See metadata and relevant publication for additional details on calculation. Hydrological predictors for each quadrat are provided in a single matrix of sites by predictors, with relevant location details for the quadrat (xy coordinates, site, transect). Included is a single electrical conductivity class for each transect (ordinal variable - low moderate, high - see metadata). Vegetation data are provided as a single matrix (quadrats x plant functional group) showing presence absence of each functional group in each quadrat. There is also a lookup table giving the assignment of each plant species to a plant functional group.
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The dataset comprises of a biological and a spatial component. Biological data: This was collated from several sources, collected over the period 2000-2009. Data are lists of presence-absence of 215 native plant species (i.e., exotic species removed) from 76 seasonal wetlands (size range 0.5 - 35 ha) located on the Fleurieu Peninsula, South Australia (centred on latitude 35.5 °S). After data were collated into a single dataset, sampling bias was removed to create a dataset of near-complete census wetlands. Spatial data: For each of the 76 wetlands a small amount of spatial data is also provided, i.e., area, centroids, catchment etc. The dataset could be of interest for any typical community data analysis (e.g. beta diversity, similarity, assembly)- provided only native wetland plant species are of interest. Data presented here were used to model extinction risk, species-area relationships, occupancy distributions and so on.
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This dataset contains the effect of stress and herbivory on the establishment of alternate provenances of a foundation tree species. This data relates to plant fitness and could be used for more broader studies in this area. We established a common garden experiment within a 238 ha restoration site owned and managed by the South Australian Water Corporation (SA Water), near the township of Clarendon (-35.0882°S, 138.6236°E). We grew ca.1500 seedlings sourced from one local and two non-local provenances of <i>Eucalyptus leucoxylon</i> to test whether local provenancing was appropriate. The three provenances spanned an aridity gradient, with the local provenance sourced from the most mesic area and the distant provenance sourced from the most arid. We explored the effect of provenance on four fitness proxies after 15 months, including survival, above-ground height, susceptibility to insect herbivory, and pathogen related stress.
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We generated a total of 2,313,977 16S archaeal raw reads across the 36 replicates (64,277 ± 23,335 SD per replicate). A total of 2,299,955 archaeal sequences (63,888 ± 23,473 SD per replicate) and 1,937 archaeal OTUs (54 ± 20 SD per replicate) remained for further analysis after quality filtering. The OTU data provide information on archaeal flux at an active restoration site at Mt Bold, a water catchment reserve of the Mt Lofty Ranges in South Australia, through a stagger of years and can be used accordingly.
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We present a High-throughput eDNA dataset of fungi to track functional recovery in ecological restoration in the form of an OTU raw data matrix. We generated a total of 4,993,144 ITS fungal raw reads (118,884 ± 42,210 SD per replicate) across the 42 replicates. A total of 4,955,680 fungal sequences (117,430 ± 42,164 SD per replicate) remained for further analysis after quality filtering. The OTU data provide information on fungal flux at this restoration site through a stagger of years and can be used accordingly.
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<p>The dataset comprises well-designed survey data from the first fuel load survey across 192 transects within the 48 AusPlots Forests, 1-ha monitoring plots across Australia. Data includes: [1] Site identifiers (ID and Site Name) and site- or transect- specific notes from the fuel survey campaign; [2] Transect survey dates; [3] Transect photograph numbers and attributes (Bearing, Slope and Aspect); [4] Fuel measurements (Grass and Litter height; Duff depth; Fine Woody fuel counts and Coarse Woody fuel counts and diameter; Projective cover for biomass components (Grass, Litter, Herbs, Vines and Shrubs), and Mass of biomass components (Grass, Litter, Herbs and Vines)); [5] Moisture content for biomass components (Grass, Litter, Herbs and Vines).</p> Descriptions of the data and coding protocols used in the database are explained in (a) the database itself; (b) the explanatory file attached to this dataset and (c) the Ausplots Forest Monitoring Network Manual. The protocols and coding used in this module are drawn directly from international forest fuel survey protocols and are consistent with other Australian forest fuel inventory methodologies.</p> For site-level aggregation of the data, please see the following record: <a data-fr-linked="true" href="https://portal.tern.org.au/metadata/TERN/1dd61f70-7fc8-495f-8c88-823e2834b10b">https://portal.tern.org.au/metadata/TERN/1dd61f70-7fc8-495f-8c88-823e2834b10b</a></p>
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The dataset comprises data from the first survey of ~24,000 large trees (>10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location, above-ground biomass); [5] Comments and ancillary information; and [6] List of Metagenomic Sample Identifiers.
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This data set is a compilation of individual tree and shrub above-ground biomass (dry weight), stem diameter, height, and associated auxiliary information about the sites from which the trees or shrubs were sampled. The data were derived from numerous different projects over the last 5 decades. However, the project under which support was given to collate these datasets was Australia's Department of the Environments Methodology Development Program's Complex Wood System Project (MDP-CWS). The objective of the MDP-CWS project was to develop tools and information to underpin increased land manager participation in the domestic carbon market; the Emissions Reduction Fund (ERF). However, the intention is that this database will be expanded over time and have much greater use than just supporting carbon accounting methodologies. See publication for details: "Keryn I. Paul, John Larmour, Alison Specht, Ayalsew Zerihun, Peter Ritson, Stephen H. Roxburgh, Stan Sochacki, Tom Lewis, Craig V.M. Barton, Jacqueline R. England, Michael Battaglia, Anthony O'Grady, Elizabeth Pinkard, Grahame Applegate, Justin Jonson, Kim Brooksbank, Rob Sudmeyer, Dan Wildy, Kelvin D. Montagu, Matt Bradford, Don Butler, Trevor Hobbs, Testing the generality of below-ground biomass allometry across plant functional types, Forest Ecology and Management. 432: 102-114. https://doi.org/10.1016/j.foreco.2018.08.043. Paul, K.I., Larmour, J., Specht, A., Zerihun, A., Ritson, P., Roxburgh, S.H., Sochacki, S., Lewis, T., Barton, C.V.M., England, J.R., Battaglia, M., O’Grady, A., Pinkard, E., Applegate, G., Jonson, J., Brooksbank, K., Sudmeyer, R., Wildy, D., Montagu, K.D., Bradford, M., Butler, D., Hobbs, T., 2019. Testing the generality of below-ground biomass allometry across plant functional types. Forest Ecology and Management 432, 102–114. https://doi.org/10.1016/j.foreco.2018.08.043