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    The Norfolk Island Green Parrot (Cyanoramphus cookii) Wild Breeding Project (2013-2014) dataset contains records of Green Parrot breeding success and survival rates per nesting site, including number of eggs laid, number of chicks hatched and number of chicks fledged. Records of sex composition are recorded as well as records of parental attendance and any nesting disturbance. For information on study site coordinates (restricted data) for this species, please contact the dataset author.

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    Data is provided for fifteen native forest plots in NSW measured in April 2021 during a pilot of potential field measurement methods for the state-wide forest plot network as part of the NSW Forest Monitoring and Improvement Program. Data includes tree height, diameter, canopy cover, species composition, coarse woody debris, fuel hazard, Biodiversity Assessment Method structure, as well as raw and processed data from terrestrial LiDAR scans.

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    This dataset consists of counts for multiple plant species obtained from the Ethabuka Station and Carlo Reserve in the Simpson Desert, Australia, from 2004-2013 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists rainfall data obtained from 2004-2012. These datasets were used to perform a Dynamic Factor Analyses for the manuscript, "Life form explains consistent temporal trends across species: the application of dynamic factor analysis". For more information see: LTERN : http://www.ltern.org.au DERG; http://www.desertecology.edu.au.

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    This dataset consists of counts of plants and seeds for the ephemeral desert herb Trachymene glaucifolia obtained from the Ethabuka and Carlo Reserves in the Simpson Desert, Australia, from 2004-2011 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists of monthly rainfall data obtained from 1995-2012. Collectively, the dataset was used to construct Multivariate Auto-regressive State-Space (MARSS) models for the manuscript "Reducing common sources of uncertainty in time series population data using MARSS models". For more information see: LTERN : http://www.ltern.org.au DERG : http://www.desertecology.edu.au

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    The dataset contains records of Robber Crab (Birgus latro) mortality across Christmas Island, including location co-ordinates and details of sex and thoracic length. To manage the impact of road mortality on the species, this monitoring project is designed to assess spatial variation in road mortality. Basic data are collected at the site (sex, size, date, coordinates).

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    The lesser hairy-footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. This project tested the hypothesis that this disproportionate predation is a product of frequent encounter rates between the interactants due to high overlap in their diets and use of space and time. This data set focuses on dietary overlap, with diet and predatory behaviour of wolf spiders (<i>Lycosa spp.</i>), the lesser hairy-footed dunnart (<i>Sminthopsis youngsoni</i>) and prowling spiders (<i>Miturga spp.</i>, which represent other common invertebrate predators) were determined by tracking individuals and directly observing prey captures. Seventeen wolf spiders, 10 prowling spiders and 5 dunnarts were captured from Main Camp site in the Simpson Desert, south-western Queensland during 2016 with 30, 13 and 13 direct prey captures witnessed for each species respectively. This data is used for calculating overlap between prey taxa and prey size between these predators using the symmetrical version of MacArthur and Levin's and Pianka's overlap equation. However, it can also be used as a case study for calculating overlap between other species-groups.

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    The dataset contains information from the first initial trial of the AusPlots Fauna Protocol conducted at Calperum Station, Renmark, South Australia. Selected proposed methodologies and fauna survey techniques were trialled for logistical purposes. After the field trials, the proposed methodologies and techniques were refined. The dataset contains species information on fauna species captures, observations, and specimen collections from the April-May 2015 field trials. The data can be used to review the outcomes of the survey methodologies, presence data of the species recorded, morphological details of the animals recorded, and relate field data to the whole specimen and tissue specimens collected. The Enhancing Long-term Surveillance Monitoring Across Australia Programme will enhance the breadth and depth of Australia's terrestrial ecosystem condition monitoring and reporting at national and regional scales through building on the Terrestrial Ecosystem Research Network (TERN) AusPlots Facility. Specifically, this will be achieved by increasing the range and type of AusPlots field sites and monitoring, and through providing guidelines, protocols manuals or standards that will enhance environmental data quality.

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    This is a data set on the prescence of Salmonella and the exposure of flavivirus in the Australian White Ibis. The data is presented in an excel file that lists, band numbers, sample dates, age, sex, bill lengths, presence of Salmonella in gut samples, and evidence of exposure to flavivirus for 72 birds sampled in the years 2002, 2003 and 2015 in Sydney, Australia. Detailed results listed in our open accessible manuscript published in the Journal of Urban Ecology in 2019. <em>https://academic.oup.com/jue/article/5/1/juz006/5506280</em>.

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    The lesser hairy-footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. This project tested the hypothesis that this disproportionate predation is a product of frequent encounter rates between the interactants due to high overlap in their diets and use of space and time. This data set focuses on the dietary aspect. Specifically, invertebrate pitfall trapping was employed to quantify food availability and selectivity for both wolf spiders and <i>S.youngsoni</i>. Pitfall traps were deployed along trails left by tracked individuals, as well as control trails, of both species groups in the north-western Simpson Desert, Queensland. In total, invertebrate pitfall traps were deployed along 11 <i>S.youngsoni</i> and 8 <i>lycosa</i> trails in October 2016. Invertebrates were identified to the level of "Order", except for spiders (Order: Arachnida) and bees, wasps and ants (Order: Hymenoptera) which were identified to the "Family" level using identification keys and were also counted and grouped into seven size classes. This data was used for the following analyses: [1] a two-way analysis of variance (ANOVA) to test whether total numbers of arthropods differed between trail type and species, [2] non-metric multidimensional scaling (NMDS) and [3] permutational analysis of variance (PERMANOVA) to test whether assemblages of arthropod prey and prey sizes differed between the two trail types for each species and between each species.

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    This dataset presents the demographic monitoring (growth and survival) of 81 tree species based on repeated stem measurement data from 20, 0.5 ha (100 m x 50 m) permanent moist forest plots in northern Queensland, Australia from 1971 to 2019, as well as four additional plots of 0.1 to 1 ha whose monitoring began in the 2000s. The plots have a rainfall range of 1200 to over 6000 mm, represent eleven vegetation types, six parent materials, and range from 15 m to 1500 m above sea level. Except for minor disturbances associated with selective logging on two plots, the plots were established in old growth forest and all plots have thereafter been protected. Plots were regularly censused and at each census the diameter at breast height (DBH) of all stems ≥10 cm DBH were recorded. We only report the data for the 81 species studied in Bauman et al. 2022 (Nature), here. We also provide the climatology of these plots as well as the temperature, vapour pressure deficit, and maximum climatological water deficit of all intervals separating consecutive censuses, as used in the analyses of Bauman et al. 2022.