Data

Temporal activity of wolf spiders and dunnarts in the Simpson Desert

Name: Temporal activity of wolf spiders and dunnarts in the Simpson Desert
Published: 2017

Terrestrial Ecosystem Research Network

Potter, Tamara ; Greenville, Aaron ; Dickman, Chris

Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]

ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4227/05/5a167887d329a&rft.title=Temporal activity of wolf spiders and dunnarts in the Simpson Desert&rft.identifier=10.4227/05/5a167887d329a&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=The lesser hairy-footed dunnart (Sminthopsis youngsoni, Dasyuridae) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (Lycosa spp., Lycosidae) 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 overlap in the diel acttivity patterns wolf spiders (Lycosa spp.) and the lesser hairy-footed dunnart (Sminthopsis youngsoni) in the Simpson Desert, south-western Queensland Australia. To quantify the temporal activity of lycosids, spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights. Additionally, remote camera traps were deployed to further quantify patterns in the activity of lycosids and S. youngsoni. Twenty-four Reconyx PC800 HyperfireTM cameras were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment). Images were tagged with camera location, position, angle, camera ID number, species and confidence and date and time data were extracted from each image. This data was used to identify mean activity times for each species (with confidence intervals) and to assess overlap in nocturnal activity patterns between lycosids and S. youngsoni, and thus the potential for competition and predation using the Overlap v 0.2.7 package in R. This data presents a useful example for investigating how the 'Overlap' package works and the benefits it provides.Camera traps and spotlighting: [1] Spotlighting to quantify the temporal activity of lycosids: spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights. This yielded 33 transect surveys. Each hour, a 100 m transect was walked for 10 min using a spotlight (Fenix TK35, 960 lumens) to detect lycosid eye shine. For consistency, each survey was conducted along the same 100 m transect, which was marked by a row of six remote cameras. A transect was used rather than a random walk to ensure varied microhabitats were surveyed (including spinifex hummocks and open sand) and to reduce bias towards open areas where walking was easier and spiders more easily detected. Numbers of spiders observed in each 10-minute survey were tallied. [2] Camera Traps Remote camera traps were deployed to further quantify patterns in the activity of both spiders and dunnarts. Twenty-four Reconyx PC800 HyperfireTM cameras (Reconyx, Inc., Holmen, WI, USA) were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment). Cameras were placed on dune crests and in swales, as well as in burnt and unburnt areas, to get a complete representation of activity across the entire dune system. Based on pilot trials, half the cameras were positioned vertically and half angled at ~45 to the ground. Cameras angled at 45 had a greater field of view and were more likely to detect S. youngsoni, while those facing down had more chance of detecting lycosids. Cameras were placed along four north-south facing 100 m transects with six cameras per transect each spaced 20 m apart. Cameras were attached to metal posts ~50 cm above the ground surface. To increase lycosid capture success, cameras were set to take both time-lapse and motion-triggered images. Settings were as follows: time-lapse single image every 5 min between 19:00 h and 07:00 h, and motion-trigger single image with no delay between triggers (i.e., rapid-fire) and sensitivity set as high to maximise detection rate. [3] Analyses: Each image was tagged with location (burnt or unburnt), position (crest or swale), camera angle (angled or vertical), camera ID number, species and confidence level ('possible', 'probable' and 'definite'), and the tags written to the EXIF data of each file using the multi-format graphics program XnView MP v 0.83. EXIF data, including date, time and tagged keywords were extracted from each image and written to an Excel file using the command line package exiftool. To ensure independence, multiple photographs likely to be of the same individual (photographs in sequence < 2 min apart) were removed prior to analysis. To determine activity patterns of lycosids and S. youngsoni, photographs were pooled across all cameras, habitat types, locations and positions. Images with ID confidence tags of definite and probable were used for analyses (51 images of S. youngsoni and 304 images of lycosids).Progress Code: completedMaintenance and Update Frequency: notPlanned&rft.creator=Potter, Tamara &rft.creator=Greenville, Aaron &rft.creator=Dickman, Chris &rft.date=2017&rft.edition=1&rft.coverage=Data was collected around Main Camp, Ethabuka Reserve, north-western Simpson Desert, Queensland IBRA region: Simpson Desert (Simpson Strzelecki Dunefields)&rft.coverage=northlimit=-23.5813; southlimit=-23.78001; westlimit=138.35995; eastLimit=138.53848; projection=EPSG:3577&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=TERN services are provided on an as-is and as available basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_rights=(C)2017 University of Sydney. Rights owned by University of Sydney.&rft_subject=biota&rft_subject=FAUNA&rft_subject=EARTH SCIENCE&rft_subject=CLIMATE INDICATORS&rft_subject=PALEOCLIMATE INDICATORS&rft_subject=BIOLOGICAL RECORDS&rft_subject=ANIMALS/VERTEBRATES&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ARACHNIDS&rft_subject=ANIMALS/INVERTEBRATES&rft_subject=ARTHROPODS&rft_subject=CHELICERATES&rft_subject=CONSUMER BEHAVIOR&rft_subject=HUMAN DIMENSIONS&rft_subject=SOCIAL BEHAVIOR&rft_subject=SPECIES PREDATION&rft_subject=BIOSPHERE&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=SPECIES/POPULATION INTERACTIONS&rft_subject=DIURNAL MOVEMENTS&rft_subject=ANIMAL ECOLOGY AND BEHAVIOR&rft_subject=AGRICULTURE&rft_subject=ANIMAL SCIENCE&rft_subject=MAMMALS&rft_subject=Terrestrial Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Animal Behaviour&rft_subject=ZOOLOGY&rft_subject=Behavioural Ecology&rft_subject=Reconyx Hyperfire HC600&rft_subject=habitat (Unitless)&rft_subject=Unitless&rft_subject=time (second)&rft_subject=second&rft_subject=field species name (Unitless)&rft_subject=1 km - < 10 km or approximately .01 degree - < .09 degree&rft_subject=Monthly - < Annual&rft_subject=Lycosa&rft_subject=Sminthopsis_youngsoni&rft_subject=Arid ecology&rft_subject=Predator-Prey Interactions&rft_subject=Wold Spiders&rft_subject=Lesser hairy-footed Dunnart&rft.type=dataset&rft.language=English Access the data

Download data
Potter_Temporal_activity Download data
AEKOS-species_list Download data
AEKOS_species_common_names Download data
ro-crate-metadata.json

Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Access:

Open view details

unclassified

Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

esupport@tern.org.au

Brief description

The lesser hairy-footed dunnart (Sminthopsis youngsoni, Dasyuridae) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (Lycosa spp., Lycosidae) 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 overlap in the diel acttivity patterns wolf spiders (Lycosa spp.) and the lesser hairy-footed dunnart (Sminthopsis youngsoni) in the Simpson Desert, south-western Queensland Australia. To quantify the temporal activity of lycosids, spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights. Additionally, remote camera traps were deployed to further quantify patterns in the activity of lycosids and S. youngsoni. Twenty-four Reconyx PC800 HyperfireTM cameras were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment). Images were tagged with camera location, position, angle, camera ID number, species and confidence and date and time data were extracted from each image. This data was used to identify mean activity times for each species (with confidence intervals) and to assess overlap in nocturnal activity patterns between lycosids and S. youngsoni, and thus the potential for competition and predation using the Overlap v 0.2.7 package in R. This data presents a useful example for investigating how the 'Overlap' package works and the benefits it provides.

Lineage

Camera traps and spotlighting: [1] Spotlighting to quantify the temporal activity of lycosids: spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights. This yielded 33 transect surveys. Each hour, a 100 m transect was walked for 10 min using a spotlight (Fenix TK35, 960 lumens) to detect lycosid eye shine. For consistency, each survey was conducted along the same 100 m transect, which was marked by a row of six remote cameras. A transect was used rather than a random walk to ensure varied microhabitats were surveyed (including spinifex hummocks and open sand) and to reduce bias towards open areas where walking was easier and spiders more easily detected. Numbers of spiders observed in each 10-minute survey were tallied. [2] Camera Traps Remote camera traps were deployed to further quantify patterns in the activity of both spiders and dunnarts. Twenty-four Reconyx PC800 HyperfireTM cameras (Reconyx, Inc., Holmen, WI, USA) were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment). Cameras were placed on dune crests and in swales, as well as in burnt and unburnt areas, to get a complete representation of activity across the entire dune system. Based on pilot trials, half the cameras were positioned vertically and half angled at ~45 to the ground. Cameras angled at 45 had a greater field of view and were more likely to detect S. youngsoni, while those facing down had more chance of detecting lycosids. Cameras were placed along four north-south facing 100 m transects with six cameras per transect each spaced 20 m apart. Cameras were attached to metal posts ~50 cm above the ground surface. To increase lycosid capture success, cameras were set to take both time-lapse and motion-triggered images. Settings were as follows: time-lapse single image every 5 min between 19:00 h and 07:00 h, and motion-trigger single image with no delay between triggers (i.e., rapid-fire) and sensitivity set as high to maximise detection rate. [3] Analyses: Each image was tagged with location (burnt or unburnt), position (crest or swale), camera angle (angled or vertical), camera ID number, species and confidence level ('possible', 'probable' and 'definite'), and the tags written to the EXIF data of each file using the multi-format graphics program XnView MP v 0.83. EXIF data, including date, time and tagged keywords were extracted from each image and written to an Excel file using the command line package exiftool. To ensure independence, multiple photographs likely to be of the same individual (photographs in sequence < 2 min apart) were removed prior to analysis. To determine activity patterns of lycosids and S. youngsoni, photographs were pooled across all cameras, habitat types, locations and positions. Images with ID confidence tags of definite and probable were used for analyses (51 images of S. youngsoni and 304 images of lycosids).

Progress Code: completed

Maintenance and Update Frequency: notPlanned

Notes

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.

Purpose
The lesser hairy-footed dunnart (Sminthopsis youngsoni) is a common generalist insectivore in arid Australia that consumes wolf spiders (Lycosa spp.) disproportionately often relative to their availability. This study aimed to uncover the underlying mechanisms that drive this observed pattern of selective predation.

Created: 2016-10-20

Issued: 2017-11-23

Modified: 2024-05-12

Data time period: 2016-07-18 to 2016-10-20

This dataset is part of a larger collection

Click to explore relationships graph

text: Data was collected around Main Camp, Ethabuka Reserve, north-western Simpson Desert, Queensland IBRA region: Simpson Desert (Simpson Strzelecki Dunefields)

Subjects

User Contributed Tags

Other Information

Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/95067729-31ec-48a8-8329-0bcb243b97dd External Link

Identifiers

URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/95067729-31ec-48a8-8329-0bcb243b97dd
global : 95067729-31ec-48a8-8329-0bcb243b97dd

Similar data you may be interested in: