LTERN Data Portal
Desert Ecology Plot Network: Mammal, Reptile and Vegetation Data Associated with Weather, Simpson Desert, Western Queensland, Australia, 1990–2011
- Citation
-
Wardle, G; Dickman, C (): Desert Ecology Plot Network: Mammal, Reptile and Vegetation Data Associated with Weather, Simpson Desert, Western Queensland, Australia, 1990–2011. Long Term Ecological Research Network. http://www.ltern.org.au/knb/metacat/ltern.111.57/html
- Identifier
-
- docid
- ltern.111.57
- Data Creators
-
- Individual
- Professor Glenda Wardle
- Position
- Plot Leader
- Organization
- The University of Sydney
- Individual
- Professor Chris Dickman
- Position
- Plot Leader
- Organization
- The University of Sydney
- Abstract
-
This data package is a derivative comprising of a subset of data from four existing data packages: • Weather Data (daily and monthly), Simpson Desert, Western Queensland, 1995–2011 (http://www.ltern.org.au/knb/metacat/ltern.48/html) • Vegetation Plot-data, Simpson Desert, Western Queensland, 1990–2011 (http://www.ltern.org.au/knb/metacat/ltern.44/html) • Mammal Abundance Plot-data, Simpson Desert, Western Queensland, 1990–2011 (http://www.ltern.org.au/knb/metacat/ltern.37/html) • Reptile Abundance Plot-data, Simpson Desert, Western Queensland, 1990–2011 (http://www.ltern.org.au/knb/metacat/ltern.42/html) These data are used to produce the graphs found in figure 10.25 on pages 411–412 in Lindenmayer et. al 2014, Biodiversity and Environmental Change: Monitoring Challenges and Direction. They have been combined to illustrate the vegetation and vertebrate response to weather patterns, and the interaction between predator and prey during these cycles. The data includes: • monthly rainfall data for automatic weather stations situated at 13 sites separated by distances of between 5 and 80 km. • percentage ground cover of spinifex (Triodia basedowii) • mammal abundance data for two species of rodent (Spinifex Hopping-mouse & Sandy Inland Mouse) who feed on spinifex seed • mammal abundance data for the Lesser Hairy-footed Dunnart (an insectivore) • mammal abundance data for the Brush-tailed Mulgara, a predator who feeds on the Spinifex Hopping-mouse & Sandy Inland Mouse • reptile abundance data for the Military Dragon • reptile abundance data for the Central Netted Dragon Vegetation attributes were recorded in an area occupying 2.5 m radius around six traps on each trapping grid and have been aggregated to grid level data. Weather data is collected from automatic weather stations situated at 13 sites separated by distances of between 5 and 80 km. Capture data for a specified duration of trapping nights (usually 3 night session) in the Simpson Desert, Western Queensland. Captured mammal and reptile fauna were identified and recaptures during the same session were removed (i.e. individuals were only counted once). Date, site and grid number were recorded for all captures, and captured animals were also marked by a unique ear notch prior to their release to identify recaptures. The network program uses a core of 12 sites which are sampled every April-May. The trapping survey aims to quantitatively track long-term shifts in biodiversity and ecological processes in relation to key drivers, including unpredictable rainfall and droughts, fire, feral predators and grazing. A synopsis of related data packages which have been collected as part of the Desert Ecology's full program is provided at http://www.ltern.org.au/index.php/ltern-plot-networks/desert-ecology.
- Contacts for Questions on the Use and Interpretation of Data
-
- Individual
- Professor Glenda Wardle
- Position
- Plot Leader
- Organization
- The University of Sydney
- Address
-
Heydon-Laurence Building A08
The University of Sydney
Sydney. NSW 2006
Australia
- Phone
-
- voice
- 02 9351 7113 or 0425 382 205
- Email Address
- glenda.wardle@sydney.edu.au
- Individual
- Professor Chris Dickman
- Position
- Plot Leader
- Organization
- The University of Sydney
- Address
-
Heydon-Laurence Building A08
The University of Sydney
Sydney. NSW 2006
Australia
- Phone
-
- voice
- 02 9351 2318
- Email Address
- chris.dickman@sydney.edu.au
- Individual
- Dr Aaron Greenville
- Position
- Research Associate
- Organization
- The University of Sydney
- Address
-
Heydon-Laurence Building A08
The University of Sydney
Sydney. NSW 2006
Australia
- Phone
-
- voice
- 02 9351 8577
- Email Address
- aaron.greenville@sydney.edu.au
- Individual
- Mr Bobby Tamayo
- Position
- Operational Manager
- Organization
- The University of Sydney
- Address
-
Heydon-Laurence Building A08
The University of Sydney
Sydney. NSW 2006
Australia
- Phone
-
- voice
- 02 9351 8577
- Email Address
- bobby.tamayo@sydney.edu.au
- Project Information and Data Owners
-
- Title
- Desert Ecology Plot Network
- Personnel
-
- Role
- Data Owner
- Individual
- Professor Glenda Wardle
- Position
- Plot Leader
- Organization
- The University of Sydney
- Role
- Data Owner
- Individual
- Professor Chris Dickman
- Position
- Plot Leader
- Organization
- The University of Sydney
- Role
- Plot Contact
- Individual
- Dr Aaron Greenville
- Position
- Research Associate
- Organization
- The University of Sydney
- Role
- Plot Contact
- Individual
- Mr Bobby Tamayo
- Position
- Operational Manager
- Organization
- The University of Sydney
- Funding
-
These data were curated and published with strategic funds from a TERN initiative to publish long term data packages from the book Lindenmayer et al. 2014 Biodiversity and Environmental Change: Monitoring, Challenges and Direction. Since 2012 the Desert Ecology Plot Network has been part of the Long Term Ecological Research Network (LTERN). This work was supported by the Australian Government’s Terrestrial Ecosystems Research Network (www.tern.org.au) – an Australian research infrastructure project established under the National Collaborative Research Infrastructure Strategy and Education Infrastructure Fund–Super Science Initiative through the (now) Department of Education.
- Methods and Sampling Information
-
- Methods
-
Method Step 1
- Description
-
Weather Station setup – rainfall data
The network program uses 12 sites which are spaced at least 15 km apart, each comprising at least two 1-ha trapping grids, or plots which are spaced between 0.5-2 km apart. The 12 primary sites are spaced at least 15 km apart with an Environdata™ weather station at each site.
- Instrument
-
- Environdata™ weather station
Method Step 2- Description
-
Data retrieval preparation – rainfall data
The weather stations record measured rainfall via a tipping bucket every minute. Data are pooled for each day. The automatic rain gauge is set up approximately 3 m from the instrument stand and housing. In addition to the automatic rain gauge, a manual rain gauge has been set up at each site.
Method Step 3- Description
-
Data retrieval – rainfall data
Power is maintained using a solar panel, which is angled towards the north. The information stored in the data logger is retrieved using a laptop computer (or PDA/tablet) at roughly three-month intervals.
Method Step 4- Description
-
Plot setup – vegetation data
The network program uses 12 sites which are spaced at least 15 km apart, each comprising at least two 1-ha trapping grids, or plots which are spaced between 0.5-2 km apart. Additional grids have been used at some of the sites. Trapping grids are set out with thirty-six traps arrayed in a grid covering 1 ha; each grid comprises 6 lines of 6 traps spaced 20 m apart. Vegetation attributes (plant species occurrence and cover estimates) are recorded in a 2.5 m radius around pitfall traps on each vertebrate trapping grid.
Method Step 5- Description
-
Data collection – vegetation data
Percentage cover of all species, flowering index and seeding index (from 0-5, where 0 is no flowering or seeding and 5 is maximal flowering /seeding) are recorded. This index represents the total amount of flowering or seeding per species. For example, a score of 5 is awarded if all plants are flowering or seeding at their greatest extent. Sampling intervals are usually in April-May and samples are taken at the same time as the animal trapping. Data are recorded on paper field sheets. For this data package only the percentage cover of Spinfex is included.
Method Step 6- Description
-
Plot setup – mammal trapping data
The network program uses 12 sites which are spaced at least 15 km apart, each comprising at least two 1-ha trapping grids, or plots which are spaced between 0.5-2 km apart. Additional grids have been used at some of the sites. Trapping grids are set out with thirty-six traps arrayed in a grid covering 1 ha; each grid comprises 6 lines of 6 traps spaced 20 m apart. The top line of traps extends along the dune crest, where consecutive numbering starts, and finishes along the sixth line 100 m distant in the dune valley or ‘swale’. Traps on each grid are opened for 1–6 nights (usually 3) at an annual sampling interval (usually each April) and checked in the mornings and sometimes afternoons, and animals are removed for processing.
Method Step 7- Description
-
Pitfall trap setup – mammal trapping data
Mammal fauna are captured in pitfall traps. Each pitfall is made from PVC stormwater pipe, 160 mm in diameter and 600 mm deep, sunk vertically into the ground so that its top is flush with ground level. To increase trap success, by intercepting and guiding surface-active animals into the trap, a drift fence of aluminium wire mesh (flyscreen) extends outwards from the top of each trap, secured in place by means of a shallow trench. The fence is 30 cm high and runs for 2.5 m on each side of the pitfall opening. The bottom end of the pit is covered with flyscreen to form a floor to prevent captured animals from digging their way out, and all pits are capped with metal lids when not in use. A tiny amount of insecticide (Coopex) is sprinkled around each trap to prevent ant attack.
• Pitfalls must be dug into the ground, so that the lip of the pipe is level to the ground, this can be done using a shovel. Wire mesh drift fence is bent at about 10 cm to form an L-shape and dug into the ground and pulled straight and upright.
• Open all 36 pits using a spoon or pocket screwdriver
• Make sure the mesh is directly over the open pit and there is no a lip as reptiles can use it as a bridge over the pit and don’t get caught.
• Empty out excess sand from all pits .
• Sprinkle Coopex around the edge of each pit to deter ants.
• Check pitfall traps in the cool of the early morning to reduce stress on the animal.
• Thoroughly check each pitfall, first by visually ensuring that there is not a snake or other venomous animal inside the pit. Once certain that it is safe, cover hand with calico trapping bag and stick arm down pit and feel around for any mammals or reptiles, carefully sift through the sand as Leristas and other small lizards are hard to see. Leather gloves can be worn for extra protection against bites and scratches.
• Remove any invertebrates from the pit, such as scorpions and centipedes and release at point of capture.
• Be careful when removing animals from pitfalls, do not grab any animal by the tail. Place bag over animal and invert it inside pit to safely secure animal.
• Place each animal in a separate calico bag and tie the top tightly to avoid escapes. Write trap and grid number on bag with permanent marker to ensure animal can be relased at point of capture after processing. Store the animals in large calico bag.
• Once all traps are checked, animals are processed on site and released at point of capture.
• At the end of the trapping survey (on the third day), place metal lids firmly on pitfall trap and ensure lid sits tight. Cover lid with a bit of sand to reduce exposure to sunlight and curious animals
- Instrument
-
- pitfall traps capped with metal
- PVC stormwater pipe, 160 mm in diameter and 600 mm deep
- drift fence of aluminium wire mesh (flyscreen) 30 cm x 2.5 m
Method Step 8- Description
-
Data collection and capture marking– mammal trapping data
Date, site and grid number were recorded for all captures, and captured animals were also marked with unique ID numbers allowing identification of recaptured animals (related data packages contain data relating to morphometric observations, along with unique ID numbers). Ear samples are retained in ethanol as DNA samples. Any scats that are produced by animals during handling, or while they are in handling-bags, are kept in separately labelled vials for later analysis of their diet.
Method Step 9- Description
-
Release – mammal trapping data
Date, site and grid number were recorded for all captures, and captured animals were also marked with unique ID numbers by ear notching prior to their release, allowing identification of recaptured animals.
Method Step 10- Description
-
Plot setup – reptile trapping
The network program uses 12 sites which are spaced at least 15 km apart, each comprising at least two 1-ha trapping grids, or plots which are spaced between 0.5-2 km apart. Additional grids have been used at some of the sites. Trapping grids are set out with thirty-six traps arrayed in a grid covering 1 ha; each grid comprises 6 lines of 6 traps spaced 20 m apart. The top line of traps extends along the dune crest, where consecutive numbering starts, and finishes along the sixth line 100 m distant in the dune valley or ‘swale’. Traps on each grid are opened for 1–6 nights (usually 3) at an annual sampling interval (usually each April) and checked in the mornings and sometimes afternoons, and animals are removed for processing
Method Step 11- Description
-
Pitfall trap setup – reptile trapping
Herpetofauna are captured in pitfall traps. Each pitfall is made from PVC stormwater pipe, 160 mm in diameter and 600 mm deep, sunk vertically into the ground so that its top is flush with ground level. To increase trap success, by intercepting and guiding surface-active animals into the trap, a drift fence of aluminium wire mesh (flyscreen) extends outwards from the top of each trap, secured in place by means of a shallow trench. The fence is 30 cm high and runs for 2.5 m on each side of the pitfall opening. The bottom end of the pit is covered with flyscreen to form a floor to prevent captured animals from digging their way out, and all pits are capped with metal lids when not in use. A tiny amount of insecticide (Coopex) is sprinkled around each trap to prevent ant attack.
• Pitfalls must be dug into the ground, so that the lip of the pipe is level to the ground, this can be done using a shovel. Wire mesh drift fence is bent at about 10 cm to form an L-shape and dug into the ground and pulled straight and upright.
• Open all 36 pits using a spoon or pocket screwdriver
• Make sure the mesh is directly over the open pit and there is no a lip as reptiles can use it as a bridge over the pit and don’t get caught.
• Empty out excess sand from all pits .
• Sprinkle Coopex around the edge of each pit to deter ants.
• Check pitfall traps in the cool of the early morning to reduce stress on the animal.
• Thoroughly check each pitfall, first by visually ensuring that there is not a snake or other venomous animal inside the pit. Once certain that it is safe, cover hand with calico trapping bag and stick arm down pit and feel around for any mammals or reptiles, carefully sift through the sand as Leristas and other small lizards are hard to see. Leather gloves can be worn for extra protection against bites and scratches.
• Remove any invertebrates from the pit, such as scorpions and centipedes and release at point of capture.
• Be careful when removing animals from pitfalls, do not grab any animal by the tail. Place bag over animal and invert it inside pit to safely secure animal.
• Place each animal in a separate calico bag and tie the top tightly to avoid escapes. Write trap and grid number on bag with permanent marker to ensure animal can be relased at point of capture after processing. Store the animals in large calico bag.
• Once all traps are checked, animals are processed on site and released at point of capture.
• At the end of the trapping survey (on the third day), place metal lids firmly on pitfall trap and ensure lid sits tight. Cover lid with a bit of sand to reduce exposure to sunlight and curious animals
- Instrument
-
- pitfall traps capped with metal
- PVC stormwater pipe, 160 mm in diameter and 600 mm deep
- drift fence of aluminium wire mesh (flyscreen) 30 cm x 2.5 m
Method Step 12- Description
-
Data collection – reptile trapping
Date, site and grid number were recorded for all captures, and captured animals were also marked with unique ID numbers allowing identification of recaptured animals.
Method Step 13- Description
-
Release - reptiles
Animals then are released within 10 m of the trap at which they were captured, either in vegetation or at sites offering local shelter.
Method Step 14- Description
-
Trip Report
After every field trip, a ‘trip report’ is written to document the activities, and events in the survey. The trip reports can be found at http://www.desertecology.edu.au/
Total number of captures over the survey trip were noted, and then this was standardised for unequal trapping effort. Dividing by the product of number of traps opened and the number of nights traps were opened.
- Sampling
-
- Study Extent Description
-
The core of 12 sites are sampled every April-May, however in 2012 there was not a complete survey, and so there are only 2 (Field River South and Main Camp) sites represented in this table.
- Sampling Description
-
The network program uses a core of 12 sites which are spaced at least 15 km apart, each comprising two 1-ha trapping grids, or plots which are spaced between 0.5-2 km apart. The project involved sampling vegetation structure and plant species composition on the live-trapping grids (used for mammal and reptile sampling) in the Simpson Desert since 1990. Vegetation attributes (plant species occurrence and cover estimates) are recorded in a 2.5 m radius around six pitfall traps on each vertebrate trapping grid (one trap/line, selected at random - see Figure 6.5). The same traps on each grid are re-surveyed each trip; in general, these surveys are conducted around two traps each on the swale, side and crest of the dune. The core of 12 sites are sampled every April-May, however in 2012 there was not a complete survey, and so there are only 2 (Field River South and Main Camp) sites represented in this table. Other elements of the plot network’s full program share the sampling structure and core sites/plot/grid configuration of the study design.
- Keywords and Subject Categories
-
- LTERN Monitoring Themes
-
- On plot weather
- Plant species abundance
- Mammals
- Herpetofauna
- ANZSRC-FOR
-
- 0501
- 0602
- 0608
- GCMD
-
- Earth Science Services > Models > Weather Research
- Earth Science > Biosphere > Vegetation
- Earth Science > Biological Classification > Animals/Vertebrates > Mammals
- Biological Classification > Animals/Vertebrates > Reptiles
- Keywords List
-
- Weather
- Vegetation
- Spinifex
- Mammals
- Reptiles
- Geographic Coverage
-
- Geographic Description
- Simpson Desert, Western Queensland.
- Bounding Coordinates
-
- West
- 137.86511 degrees
- East
- 138.6059 degrees
- North
- -23.20549 degrees
- South
- -23.99417 degrees
- Temporal Coverage
-
- Date Begin
- 1990
- Date End
- 2011
- Taxonomic Coverage and Classification
-
- Classification
-
-
- Species
- Ctenophorus isolepis (Military Dragon)
-
- Species
- Ctenophorus nuchalis (Central Netted Dragon)
-
- Species
- Dasycercus blythi (Brush Tailed Mulgara)
-
- Species
- Pseudomys hermannsburgensis (Sandy Inland Mouse)
-
- Species
- Sminthopsis youngsoni (Lesser Hairy Footed Dunnart)
-
- Species
- Triodia basedowii (Spinifex)
-
- Intellectual Rights, Licence and Usage Conditions
-
CC-BY-SA-4_0 Special Conditions Data users must request permission from the Data Provider (Glenda Wardle or Chris Dickman) before access to latitudinal and longitudinal data is granted. Spatial coordinates for site codes are available at https://www.ltern.org.au/knb/metacat/ltern2.3/html (Desert Ecology Plot Network: Plot Details - Spatial Coordinates, Simpson Desert, Western Queensland).
- Data Table
-
- Name
- derg_monthly_rainfall_summary_data_1995-2011_P365T621.csv
- Description
- Summary data used to generate the graph in Figure 10.20 on p408 of the book Lindenmayer et al. 2014 Biodiversity and Environmental Change
- Attribute Information
-
year
- Name
- year
- Definition
- Year
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- YYYY
sitename- Name
- sitename
- Definition
- Name of site
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
month- Name
- month
- Definition
- Month
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- MM
countrainfall- Name
- countrainfall
- Definition
- Number of days weather station was working within the month
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- whole
totalrainfall- Name
- totalrainfall
- Definition
- Total monthly rainfall
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- millimeter
- Number Type
- real
raindays- Name
- raindays
- Definition
- Number of days rain was recorded during the month
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- whole
meanrain- Name
- meanrain
- Definition
- Mean rainfall per month
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- millimeter
- Number Type
- real
maxevent- Name
- maxevent
- Definition
- Max rainfall event size per month
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- millimeter
- Number Type
- real
mean_mintemp- Name
- mean_mintemp
- Definition
- Mean minimum temp per month °C
- Measurement Type
- interval
- Measurement Domain
-
- Standard Unit
- celsius
- Number Type
- real
mean_maxtemp- Name
- mean_maxtemp
- Definition
- Mean maximum temp per month °C
- Measurement Type
- interval
- Measurement Domain
-
- Standard Unit
- celsius
- Number Type
- real
mean_temp- Name
- mean_temp
- Definition
- Mean monthly temperature °C
- Measurement Type
- interval
- Measurement Domain
-
- Standard Unit
- celsius
- Number Type
- real
- Number Of Records
- 2307
- Physical Structure Description
-
- Object Name
- derg_monthly_rainfall_summary_data_1995-2011_P365T621.csv
- Size
- 191653 byte
- Text Format
-
- Number of Header Lines
- 1
- Record Delimiter
- #x0A
- Attribute Orientation
- column
- Simple Delimited
-
- Field Delimiter
- ,
- Distribution
-
Online
- URL
- ltern.134.5
- Access
-
- Access Control
-
- Auth System
- knb
- Order
- allowFirst
- Allow:
-
Permission Principal [read] cn=allusers,o=unaffiliated,dc=ecoinformatics,dc=org [all] cn=submitters,o=unaffiliated,dc=ecoinformatics,dc=org
- Name
- derg_spinfex_summary_data_1990-2011_P365T622.csv
- Description
- Summary data used to generate the graph in Figure 10.21 on p408 of the book Lindenmayer et al. 2014 Biodiversity and Environmental Change
- Attribute Information
-
year
- Name
- year
- Definition
- Year of survey
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- YYYY
tripno- Name
- tripno
- Definition
- Arbitrary trip identifier
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
monthyear- Name
- monthyear
- Definition
- Month and year of survey identifier
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- Mmm.YY
scientific_name- Name
- scientific_name
- Definition
- Species name
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
mean_spinifex_cover- Name
- mean_spinifex_cover
- Definition
- Mean percentage cover of spinifex
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- real
number_of_grids_cover_measured_at- Name
- number_of_grids_cover_measured_at
- Definition
- The number of grids where spinifex cover was measured
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- whole
standard_deviation- Name
- standard_deviation
- Definition
- Standard deviation for mean percentage cover of spinifex
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- real
standard_error- Name
- standard_error
- Definition
- Standard error margin for mean percentage cover of spinifex
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- real
- Number Of Records
- 91
- Physical Structure Description
-
- Object Name
- derg_spinfex_summary_data_1990-2011_P365T622.csv
- Size
- 7323 byte
- Text Format
-
- Number of Header Lines
- 1
- Record Delimiter
- #x0A
- Attribute Orientation
- column
- Simple Delimited
-
- Field Delimiter
- ,
- Distribution
-
Online
- URL
- ltern.147.4
- Access
-
- Access Control
-
- Auth System
- knb
- Order
- allowFirst
- Allow:
-
Permission Principal [read] cn=allusers,o=unaffiliated,dc=ecoinformatics,dc=org [all] cn=submitters,o=unaffiliated,dc=ecoinformatics,dc=org
- Name
- derg_spinfex_hopping-mouse_summary_data_1990-2011_P365T883.csv
- Description
- Summary data used to generate the graph in Figure 10.25 (A) on p411 of the book Lindenmayer et al. 2014 Biodiversity and Environmental Change
- Attribute Information
-
year
- Name
- year
- Definition
- Year of survey
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- YYYY
monthyear- Name
- monthyear
- Definition
- Month and year of survey identifier
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- Mmm.YY
tripno- Name
- tripno
- Definition
- Arbitrary trip identifier
- Measurement Type
- ordinal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
fauna_descriptor- Name
- fauna_descriptor
- Definition
- Species name
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
common_name- Name
- common_name
- Definition
- Species common name
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
mean- Name
- mean
- Definition
- Mean number of standardised captures over all grid sites during the survey period
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- real
standard_deviation_sample- Name
- standard_deviation_sample
- Definition
- Sample standard deviation for standardised captures over all grid sites during the survey period
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- real
standard_error_sample- Name
- standard_error_sample
- Definition
- Sample standard error for standardised captures over all grid sites during the survey period
- Measurement Type
- ratio
- Measurement Domain
-
- Standard Unit
- number
- Number Type
- real
- Number Of Records
- 126
- Physical Structure Description
-
- Object Name
- derg_spinfex_hopping-mouse_summary_data_1990-2011_P365T883.csv
- Size
- 12031 byte
- Text Format
-
- Number of Header Lines
- 1
- Record Delimiter
- #x0A
- Attribute Orientation
- column
- Simple Delimited
-
- Field Delimiter
- ,
- Distribution
-
Online
- URL
- ltern.173.3
- Access
-
- Access Control
-
- Auth System
- knb
- Order
- allowFirst
- Allow:
-
Permission Principal [read] cn=allusers,o=unaffiliated,dc=ecoinformatics,dc=org [all] cn=submitters,o=unaffiliated,dc=ecoinformatics,dc=org
- Name
- derg_sandy_inland_mouse_summary_data_1990-2011_P365T892.csv
- Description
- Summary data used to generate the graph in Figure 10.25 (B) on p411 of the book Lindenmayer et al. 2014 Biodiversity and Environmental Change
- Attribute Information
-
year
- Name
- year
- Definition
- Year of survey
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- YYYY
monthyear- Name
- monthyear
- Definition
- Month and year of survey identifier
- Measurement Type
- dateTime
- Measurement Domain
-
- Format
- Mmm.YY
tripno- Name
- tripno
- Definition
- Arbitrary trip identifier
- Measurement Type
- ordinal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
fauna_descriptor- Name
- fauna_descriptor
- Definition
- Species name
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
common_name- Name
- common_name
- Definition
- Species common name
- Measurement Type
- nominal
- Measurement Domain
-
- Text Domain
-
- Definition
- Character
mean- Name
- mean
- Definition
- Mean number of standardised captures over all grid sites during the survey period
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