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NASA Land Information System (LIS) Data Sets

Entry ID: NASA_LIS_DATA

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Summary

Abstract: The Land Information System (LIS) provides collection of sample data for
demonstration of LIS code. The original source of each data set is given
whenever possible. LIS does not endorse the validity, completeness, or
usefulness of the data sets. Users are strongly recommended to compile and
validate their own data sets based on their scientific goals. LIS has the
built-in flexibility for users to ...

Related URL

Link: GET SERVICE

Description: Access the NASA Land Information System (LIS).

Link: VIEW RELATED INFORMATION

Description: Documentation on the Land Information System (LIS).

Geographic Coverage

(Click for Interactive Map)

Spatial coordinates

N: 90.0

S: -90.0

E: 180.0

W: -180.0

Data Set Citation

Dataset Originator/Creator: NASA Goddard Space Flight Center

Dataset Title: NASA Land Information System (LIS) Data Sets

Dataset Release Place: NASA Goddard Space Flight Center, Greenbelt, MD

Dataset Publisher: NASA Goddard Space Flight Center

Online Resource: http://lis.gsfc.nasa.gov/

Location Keywords

GEOGRAPHIC REGION > GLOBAL LAND

Science Keywords

AGRICULTURE > SOILS > CALCIUM

AGRICULTURE > SOILS > CARBON

ISO Topic Category

BIOTA

ENVIRONMENT

Platform

FIELD SURVEYS

LABORATORY

Quality Taken from the paper:

The experiment was located in grassland, predominantly Poa foliosa, on Wireless Hill (100m asl) (North Head), Macquarie Island (54o39's, 158o50'E) and operated from January to March 1993. The experiment comprised three plot treatments with five replicates, each plot being 2m x 2m in area (Fig. 1). The first (caged) type of plot was fenced to exclude ... mice, and spider densities here were increased to 150% of background densities by transferring spiders from outside the exclosure. This was done because it was not possible to conduct the experiment for a long enough period to allow spider densities to increase naturally if the relaxation of predation pressure was going to have an effect. The second (control) treatment was not fenced but spider densities also were increased to 150% of background densities. These plots were to control for the effect of increasing population densities in the cage plots. The third (natural) treatment was not manipulated and so untreated. Plots were arranged in a randomized block design with five replicates for each treatment and with treatments randomly assigned to plots within blocks (Fig. 1).

Fences were set up in early January, 1994 and consisted of two layers of wire mesh, offset so that the largest hole was about 6 mm in diameter. The fence was installed 30cm into the ground to prevent mice from burrowing underneath it and they extended to a height of 1m. To minimise disturbance to the plots from this process, intact blocks of grass and soil were carefully removed from the perimeter of the plot, the fence installed, and the blocks replaced.

Destructive sampling was used in five plots measuring 1m x 1m to estimate spider densities outside the exclosures. This involved pulling up all vegetation in the plot and hand collecting all spiders found in the extracted material. At the beginning of the experiment, these spiders were added to the centre of the caged and control plots.

Breakback traps for mouse capture were set with butter as bait inside both caged and control plots for the duration of the experiment. Traps were checked regularly. Initially skuas (Stercorarius antarctica) removed the bait from the breakback traps so we placed the traps inside 3cm lengths of 13 cm diameter PVC pipe.

The experiment ran for two months. In early March, we took a destructive sample from a 0.5m x 1m (0.5m2) area at the centre of each plot. Again, this involved tearing up all vegetation and collecting all spiders encountered. Five pitfall traps, 1.8cm in diameter three quarters filled with alcohol, were then set in each plot for seven days after which the fences were taken down.

In the laboratory, all spiders caught in the pitfalls were identified, sexed and measured. Lengths were measured from the anterior surface of the head to the cribellum.

We used analysis of variance (ANOVA) to test for an effect of mouse predation on the density of the three spider species.

Access Constraints The data are available for download from the url given below.

Use Constraints This data set conforms to the PICCCBY Attribution License (http://creativecommons.org/licenses/by/3.0/).

Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_104... when using these data.

Ancillary Keywords

mice

spiders

Data Set Progress

COMPLETE

Data Center

Australian Antarctic Data Centre, Australia

Data Center URL: http://data.aad.gov.au

Data Center Personnel
Name: DATA OFFICER AADC Phone: +61 3 6232 3244 Fax: +61 3 6232 3351 Email: metadata at aad.gov.au Contact Address: Australian Antarctic Division 203 Channel Highway City: Kingston Province or State: Tasmania Postal Code: 7050 Country: Australia

Distribution

Distribution Media: HTTP

Distribution Size: 366 KB

Distribution Format: pdf

Fees: free

Personnel

KENDI FARRELL DAVIES

Role: INVESTIGATOR

Role: TECHNICAL CONTACT

Phone: +1 303 492 7035

Fax: +1 303 492 8699

Email: kendi.davies at colorado.edu

Contact Address:

Department of Ecology and Evolutionary Biology

UCB 334

University of Colorado

City: Boulder

Province or State: Colorado

Postal Code: CO 80309

Country: USA

Publications/References

van Klinken R., Green A. (1992) The first record of Oniscidea (terrestrial Isopoda) from Macquarie Island. Polar Record 28(166. 240;

Greenslade P. (1992) New records of Mesaphorura (Collembola: Onychiuridae, Tullbergiinae) species from Australia, Macquarie Island and the Antarctic. Transactions of the Royal Society of South Australia 116.;

Davies K.F., Melbourne B.A. ...

Creation and Review Dates

DIF Creation Date: 2008-08-15

Last DIF Revision Date: 2012-11-05

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