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31 data packages found.
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| Title and Description | Creator (People and Organisation) |
|---|---|---|
| Acoustic Sensor, Calperum Mallee SuperSite, 2013
Meyer
University of Adelaide
Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk).
1
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Meyer University of Adelaide |
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| Acoustic Sensor, Calperum Mallee SuperSite, 2014
Meyer
University of Adelaide
Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk).
1
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Meyer University of Adelaide |
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| Acoustic Sensor, Calperum Mallee SuperSite, 2015
Meyer
University of Adelaide
Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk).
1
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Meyer University of Adelaide |
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| Acoustic Sensor, Calperum Mallee SuperSite, 2016
Meyer
University of Adelaide
Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk).
1
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Meyer University of Adelaide |
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| Acoustic Sensor, Calperum Mallee SuperSite, 2017
Meyer
University of Adelaide
Acoustic sensors provide an effective means for monitoring biodiversity at large spatial and temporal scales. The Australian SuperSite Network (SuperSites) provides the research community with national scale acoustic sensor data collected at each SuperSite. Acoustic sensors are configured to record for 12 hours per day (6 hours around dawn and 6 hours around dusk).
This data package contains acoustic sensor data recorded at the TERN Calperum Mallee SuperSite, Mallee Site 1 and Site 2. Data is in WAV format recorded at 44,100 Hz in stereo.
Recordings are available for listening and download at https://bioacoustics.tern.org.au/
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Meyer University of Adelaide |
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| Ant Survey Data, Calperum Mallee Supersite, Calperum Station 2014
Cale
Australian Landscape Trust
Ants are a focal faunal taxon for the Australian SuperSite Network and the Australian Transect Network (ATN). Ants are Australia’s dominant faunal group in terms of biomass and energy flow. They occupy all trophic levels, act as ecosystem engineers, feature in many mutualistic interactions with plants, and are a key food resource for many vertebrates. Ants are also Australia’s best studied insect group in terms of biogeography and community dynamics. They are the most widely used invertebrate bio-indicators in environmental assessment and monitoring.
Ants are readily sampled for monitoring purposes using pitfall traps. Pitfall traps are especially effective in open habitats, where the great majority of ant species are trappable. Pitfall traps capture less of the fauna in tropical rainforests (which support a high diversity of specialist arboreal taxa), but have still proven effective for environmental assessment and monitoring in these habitats. Pitfall traps have been used to sample ants at thousands of sites from throughout Australia over the past 30 years.
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Cale Australian Landscape Trust |
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| Ant Survey Data, Calperum Mallee SuperSite, Calperum Station 2015
Cale
Australian Landscape Trust
Ants are a focal faunal taxon for the Australian SuperSite Network and the Australian Transect Network (ATN). Ants are Australia’s dominant faunal group in terms of biomass and energy flow. They occupy all trophic levels, act as ecosystem engineers, feature in many mutualistic interactions with plants, and are a key food resource for many vertebrates. Ants are also Australia’s best studied insect group in terms of biogeography and community dynamics. They are the most widely used invertebrate bio-indicators in environmental assessment and monitoring.
Ants are readily sampled for monitoring purposes using pitfall traps. Pitfall traps are especially effective in open habitats, where the great majority of ant species are trappable. Pitfall traps capture less of the fauna in tropical rainforests (which support a high diversity of specialist arboreal taxa), but have still proven effective for environmental assessment and monitoring in these habitats. Pitfall traps have been used to sample ants at thousands of sites from throughout Australia over the past 30 years."
0
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Cale Australian Landscape Trust |
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| Ant Survey Data, Calperum Mallee SuperSite, Calperum Station 2016
Cale
Australian Landscape Trust
Ants are a focal faunal taxon for the Australian SuperSite Network and the Australian Transect Network (ATN). Ants are Australia’s dominant faunal group in terms of biomass and energy flow. They occupy all trophic levels, act as ecosystem engineers, feature in many mutualistic interactions with plants, and are a key food resource for many vertebrates. Ants are also Australia’s best studied insect group in terms of biogeography and community dynamics. They are the most widely used invertebrate bio-indicators in environmental assessment and monitoring.
Ants are readily sampled for monitoring purposes using pitfall traps. Pitfall traps are especially effective in open habitats, where the great majority of ant species are trappable. Pitfall traps capture less of the fauna in tropical rainforests (which support a high diversity of specialist arboreal taxa), but have still proven effective for environmental assessment and monitoring in these habitats. Pitfall traps have been used to sample ants at thousands of sites from throughout Australia over the past 30 years.
0
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Cale Australian Landscape Trust |
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| BASE Contextual, Soil Physico-Chemical Data, Calperum Mallee SuperSite, Core 1 ha, 2013
Meyer; Koerber
The University of Adelaide
Soil collection and analysis of chemical and physical attributes was carried out to provide contextual data for the Biomes of Australian Soil Environments (BASE) soil microbial diversity project (http://www.bioplatforms.com/soil-biodiversity/).
Nine discrete soil samples from a 25 m x 25 m quadrat, sampled at two depth ranges (0 – 10cm and 20 – 30cm). Eight samples were taken at the corners and mid-points of the 25 m x 25m sides of the quadrat, with sample taken at the centre. The nine subsamples were combined for each depth, to return a single surface and deeper soil sample per quadrat. Samples for chemical and physical analysis were air-dried and transported to CSBP laboratories, Perth, Australia.
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Meyer; Koerber The University of Adelaide |
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| BASE Contextual, Soil Physico-Chemical Data, Calperum Mallee SuperSite, Flood Plain Plot 08, 2013
Meyer; Koerber
The University of Adelaide
Soil collection and analysis of chemical and physical attributes was carried out to provide contextual data for the Biomes of Australian Soil Environments (BASE) soil microbial diversity project (http://www.bioplatforms.com/soil-biodiversity/).
Nine discrete soil samples from a 25 m x 25 m quadrat, sampled at two depth ranges (0 – 10cm and 20 – 30cm). Eight samples were taken at the corners and mid-points of the 25 m x 25m sides of the quadrat, with sample taken at the centre. The nine subsamples were combined for each depth, to return a single surface and deeper soil sample per quadrat. Samples for chemical and physical analysis were air-dried and transported to CSBP laboratories, Perth, Australia.
1
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Meyer; Koerber The University of Adelaide |
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| BASE Contextual, Soil Physico-Chemical Data, Calperum Mallee SuperSite, Woodland Plot 05, 2013
Meyer; Koerber
The University of Adelaide
Soil collection and analysis of chemical and physical attributes was carried out to provide contextual data for the Biomes of Australian Soil Environments (BASE) soil microbial diversity project (http://www.bioplatforms.com/soil-biodiversity/).
Nine discrete soil samples from a 25 m x 25 m quadrat, sampled at two depth ranges (0 – 10cm and 20 – 30cm). Eight samples were taken at the corners and mid-points of the 25 m x 25m sides of the quadrat, with sample taken at the centre. The nine subsamples were combined for each depth, to return a single surface and deeper soil sample per quadrat. Samples for chemical and physical analysis were air-dried and transported to CSBP laboratories, Perth, Australia.
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Meyer; Koerber The University of Adelaide |
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| Bird Survey Data, Calperum Mallee SuperSite, 2012
Cale
Australian Landscape Trust
Bird survey at Calperum Supersite October 2012
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Cale Australian Landscape Trust |
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| Bird Survey Data, Calperum Mallee SuperSite, 2013
Cale
Australian Landscape Trust
This file includes the bird survey data for the Calperum Mallee SuperSite in 2013.
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Cale Australian Landscape Trust |
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| Bird Survey Data, Calperum Mallee SuperSite, 2014
Cale
Australian Landscape Trust
This file includes the bird survey data for the Calperum Mallee SuperSite in 2014.
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Cale Australian Landscape Trust |
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| General Vegetation Structure Description, Calperum Mallee SuperSite, Mallee, Swale, SASMDD0002, 2012
Meyer
University of Adelaide
Colloquial vegetation description derived from AusPlots survey. Average heights determined from point intercept survey data available from the aekos data portal (http://www.aekos.org.au/home)
1
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Meyer University of Adelaide |
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| Leaf Area Index Data, Calperum Mallee SuperSite, Core 1 ha, 2013
Meyer
University of Adelaide
Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange. Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns. These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as Digital Cover Photography (DCP) and (Digital Hemispheric Photography (DHP). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present. Digital Cover Photography (DCP) was carried out at the Calperum Mallee SuperSite Core 1 ha.
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Meyer University of Adelaide |
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| Leaf Area Index Data, Calperum Mallee SuperSite, Core 1 ha, 2014
Meyer
University of Adelaide
Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange. Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns. These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as Digital Cover Photography (DCP) and (Digital Hemispheric Photography (DHP). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present. Digital Cover Photography (DCP) was carried out at the Calperum Mallee SuperSite Core 1 ha.
6
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Meyer University of Adelaide |
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| Leaf Area Index Data, Calperum Mallee SuperSite, Core 1 ha, 2015
Meyer
University of Adelaide
Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange. Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns. These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as Digital Cover Photography (DCP) and (Digital Hemispheric Photography (DHP). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present. Digital Cover Photography (DCP) was carried out at the Calperum Mallee SuperSite Core 1 ha.
2
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Meyer University of Adelaide |
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| Leaf Area Index Images, Calperum Mallee SuperSite, Core 1 ha, 2013
Meyer
The University of Adelaide
Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange. Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns. These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as Digital Cover Photography (DCP) and (Digital Hemispheric Photography (DHP). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present.
Digital Cover Photography (DCP) was carried out at the Calperum Mallee SuperSite Core 1 ha on12 Sept 2013 and 17 Dec 2013.
Leaf Area Index images are available for viewing and download from the TERN SuperSites BioImage Portal http://bioimages.supersites.net.au/data/lai/clpm/default
1
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Meyer The University of Adelaide |
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| Leaf Area Index Images, Calperum Mallee SuperSite, Core 1 ha, 2014
Meyer
The University of Adelaide
Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange. Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns. These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as Digital Cover Photography (DCP) and (Digital Hemispheric Photography (DHP). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present.
Digital Cover Photography (DCP) was carried out at the Calperum Mallee SuperSite Core 1 ha on 20 May 2014, 19 Aug 2014 and 18 Nov 2014.
Leaf Area Index images are available for viewing and download from the TERN SuperSites BioImage Portal http://bioimages.supersites.net.au/data/lai/clpm/default
1
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Meyer The University of Adelaide |
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| Leaf Area Index Images, Calperum Mallee SuperSite, Core 1 ha, 2015
Meyer
The University of Adelaide
Leaf area index (LAI) can be defined as the total one sided area of leaf tissue per unit area of ground and is a key derived parameter that is associated with water and light interception, radiation transfer, water and carbon exchange. Canopy cover can be defined as the fraction of ground shaded by the vertical projection of tree crowns. These measures may be used as proxies for actual canopy leaf area. Leaf area index is the preferred measure of cover for vegetation and is a key variable used in total biomass estimation and in carbon cycling prediction models. Indirect measures of LAI include digital photographic methods using flat or hemispherical images, referred to respectively as Digital Cover Photography (DCP) and (Digital Hemispheric Photography (DHP). LAI measurements are carried out at each SuperSite using the most appropriate method for the vegetation type present.
Digital Cover Photography (DCP) was carried out at the Calperum Mallee SuperSite Core 1 ha on 3 Feb 2015 and 28 Apr 2015.
Leaf Area Index images are available for viewing and download from the TERN SuperSites BioImage Portal http://bioimages.supersites.net.au/data/lai/clpm/default
1
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Meyer The University of Adelaide |
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| Monthly Rainfall, Calperum Mallee SuperSite, Calperum Station, 1995-2011
Cale
Australian Landscape Trust
The monthly rainfall for 17 rain gauges distributed across the paddocks of Calperum Station. These gauges were established to assess spatial and temporal variation in the rainfall across the station.
Thirteen of the rain gauges were established on permanent photo-monitoring sites to enable comparisons between observed changes in vegetation and rainfall variation.
Every attempt was made to collect data at the end of each month, but on occasions due to limited access some sites were not collected in some months and the next months rainfall represents a cumulative total. Months when gauges were not checked are recorded as “not read” or no data is entered.
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Cale Australian Landscape Trust |
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| Photopoint Images, Calperum Mallee SuperSite, Core 1 ha, 2015
Meyer
The University of Adelaide
Photopoint images were collected 24 March 2015 at each corner and centre of the Calperum Mallee SuperSite Core 1 ha vegetation plot following the SuperSite Vegetation Monitoring protocol (http://www.supersites.net.au/publications-and-resources/resources-for-supersiteusers) using the Five Photopoint method. At each corner photos were taken from circa 1.3 m height horizontally in North, South, West, East direction. At the Centre point photos were taken horizontally pointing towards NE, NW, SE, SW.
Calperum Mallee SuperSite Photopoint images are available for viewing and download from the http://bioimages.supersites.net.au/data/photopoint/clpm/default
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Meyer The University of Adelaide |
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| Photopoint Images, Calperum Mallee SuperSite, Core 1 ha, 2016
Meyer
The University of Adelaide
Photopoint images were collected 24 May and 13 Dec 2016 at each corner and centre of the Calperum Mallee SuperSite Core 1 ha vegetation plot following the SuperSite Vegetation Monitoring protocol (http://www.supersites.net.au/publications-and-resources/resources-for-supersiteusers) using the Five Photopoint method. At each corner photos were taken from circa 1.3 m height horizontally in North, South, West, East direction. At the Centre point photos were taken horizontally pointing towards NE, NW, SE, SW.
Calperum Mallee SuperSite Photopoint images are available for viewing and download from the http://bioimages.supersites.net.au/data/photopoint/clpm/default
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Meyer The University of Adelaide |
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| Plant Functional Traits, Calperum Mallee SuperSite, Mallee Plot, 2013
Atkin
Australian National University
Key leaf traits describing leaf structure, chemistry and metabolism. Data include repeat measurements at two contrasting visits: summer (2013-03-07 to 2013-03-18) and winter (2013-08-01 – 2013-08-11).
1
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Atkin Australian National University |
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| Plant Functional Traits, Various Sites, 2010-2014
Atkin
Australian National University
Key leaf traits describing their structure, chemistry and metabolism. Data include measurements repeated at contrasting seasons between year 2010 and 2014 across seven sites (Alice Mulga, Calperum Mallee, Cumberland Plain, Cape Tribulation, Robson Creek, Great Western Woodland, and Warra). The plants measured were selected to include locally dominant species and to provide a wide range of leaf morphology. Leaf samples and measurements were focused in the main plot around each site's OzFlux tower.
1
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Atkin Australian National University |
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| Point Intercept Survey , Calperum Mallee SuperSite, Core 1 ha - AusPlots Site SASMDD0001, 2012
Lowe
The University of Adelaide
The objective of the AusPlots-Rangelands program is to establish permanently marked plots throughout the Australian rangeland bioregions where baseline surveys of vegetation and soils can be conducted. AusPlots-Rangelands operate at a continental scale across all Australian rangelands jurisdictions.
The description of the physical environment of the plot is based on key concepts in the Australian soil and land survey field handbook (National Committee on Soil and Terrain 2009) and provides the broad physiographic/landscape context for other information collected on the plot. The information recorded is important for baseline descriptions and comparison between plots.
AusPlots Rangelands methodology includes the collection of a detailed soil characterisation to 1 m depth. This characterisation is preferably performed in-situ by a pedologist, but can also be performed by field staff. Further analysis is then required by a pedologist.
The presence of all perennial and annual plant species and cover, grouped into life form (e.g. annual grasses and forbs) is recorded and vouchered at each plot. Identifications are subject to change and voucher specimens help cross-reference these changes to previous research. They also ensure the currency/longevity of the data collected at sites compared to data collected on vegetation at sites in the absence of vouchering. It is likely that a number of regions sampled will have been poorly sampled in the past and voucher collections will improve distributional data and assist in refining taxonomy.
A mobile app (Android tablet) automates data entry in the field, increasing accuracy and reducing data entry workload back in the office. The Point intercept (1,000 points) method is used to quantify vegetation and substrate cover.
Data is available on the Australian Ecological Knowledge and Observation System AEKOS Portal (http://www.aekos.org.au/access_portal)
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Lowe The University of Adelaide |
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| Soil Bulk Density and Moisture Content, Calperum Mallee SuperSite, Flux Tower Site, 2012
Chittleborough
University of Adelaide
Samples collected at the three pits dug to install 15 CS650 soil temperature and moisture probes on 08/03/2012
Pit A: Open clearing zone; most furthest from mallee vegetation. ~8m NE of Tower
Pit B: Spinifex grass zone; next to grass vegetation. ~9m E of Tower
Samples for soil morphology, chemistry and mineralogy collected from Pit B
Pit C: Mallee tree zone; beneath mallee trees with a soil cover of debris. ~8m S of Tower
1
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Chittleborough University of Adelaide |
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| Soil Description, Calperum Mallee Supersite, Calperum Station, 2012
Chittleborough
University of Adelaide
Description of soil at flux tower site, Calperum Station
1
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Chittleborough University of Adelaide |
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| Vegetation Data, Direct Measure of Stems, Standing Above Ground Biomass, Calperum Mallee SuperSite, Core 1 ha, 2015
Meyer
University of Adelaide
Direct measure of mallee stems (D10 and Height) was carried out and standing above ground biomass determined for vegetation in the Calperum Mallee SuperSite, Core 1 ha vegetation plot. The current vegetation is mostly regrowth from lignotubers following near complete destruction on above ground biomass during a wildfire event on 17 Jan 2014.
3
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Meyer University of Adelaide |
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| Vegetation Species List, Calperum Mallee SuperSite, Core 1 Ha, Floodplain Plot 08, Woodlands Plot 05, 2013
Meyer
University of Adelaide
A vegetation species list was compiled for the Calperum Mallee SuperSite Core 1 ha vegetation plot, Floodplain plot 08 and Woodland plot 05 in 2013. Plant samples were identified, vouchered and samples collected for DNA and isotope analyses.
1
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Meyer University of Adelaide |
