GCMD

Summary

Abstract: The McMurdo Dry Valleys are the largest area of snow-free land in Antarctica. Managers ability to promote and protect these areas would benefit if we knew the biodiversity present and what controls it distribution. The research therefore focused on describing and predicting biodiversity of terrestrial habitats in the Ross Dependency, Antarctica. The aim is to produce a GIS/biodiversity database ... that links biodiversity with environmental factors such as geology, and soil moisture content, to produce a model that is easily understood and useable by non-specialists and endusers. Samples of soil, invertebrates and mosses were collected from the Miers, Marshall, and Garwood Valleys for geochemistry and biological analysis. Over 450 sampling sites were visited although roughly 15 were inaccessible due to terrain or snow cover. A total 435 vegetation and invertebrate surveys were made and over 450 soil samples collected. At each location up-to-date molecular techniques were used to describe the biota from visible lichens, mosses and invertebrates to the hidden microbes. The soil samples were subsampled and analyses of soil geochemistry, soil respiration, microinvertebrate content (e.g. nematodes, rotifers, tardigrades), and microbiological assays. Samples were collected and split in the field using aseptic techniques for DNA analysis. New genomic approaches that examine microbial communities as a whole (i.e., metagenomics) or even their entire functional aspects (i.e., metatranscriptomics) were used to provide a comprehensive picture of systematic and functional biodiversity, which will help resolve the drivers of biodiversity in the environment. The samples are part of a major landscape scale study to determine the primary drivers of biodiversity and distribution of flora and fauna in the Dry Valleys. In addition, the SOM and other nutrient status including the form of subsidy was determined, and this information will be placed, together with site-specific variables such as aspect, slope, water, snow, stability. The use of GIS is central to the success of this project and considerable success in collating, analysing and preparing information for the GIS analysis. Two automatic weather stations were installed together with various trap systems to measure transfer of material within the Miers and Garwood Valleys in the 2007-2008 field season and in the 2008-2009 field season another was installed in the Marshall Valley.

In 2010-2011 the Hidden Valley research area was divided into individual tiles based on geographical and geological attributes using both remote sensing data and on-the-ground surveys. Teams of specialists then visit sampling sites identified within representative tiles to collect soil samples and conduct surveys of local flora and fauna. Soil collection (for molecular genetic analyses) and surveys of micro- and macro-invertebrates were carried out . A total of 160 soil samples were collected for speciation and molecular analyses. The collected soils are analysed in our laboratories for their geochemical properties and resident microbiota using molecular genetic techniques. A survey of lichens, mosses, hypolithic, and endolithic communities was carried out in the Miers and Hidden Valleys. A total of 63 lichen samples and 10 hypolith samples were collected for speciation and molecular analyses. We also deployed instruments in the Wright Valley to facilitate our fieldwork in the 11/12 field season.

In 2012 we deployed for the first time a SODAR system (Peyman Zawar-Reza) in Meirs valley in an effort to begin to understand the influence of wind and wind patterns on the distribution of organisms in the Valley. SODAR (Sonic Detection And Ranging) is a meteorological instrument used as a wind profiler to measure the scattering of sound waves by atmospheric turbulence. SODAR systems are used to measure wind speed at various heights above the ground, and the thermodynamic structure of the lower layer of the atmosphere. This unit has already provided compelling information for our model. We plan to deploy the same unit in the Wright Valley next year for more complete coverage and modelling. Further sampling was carried out in the Wright Valley in January 2012. A total of 59 soil samples were collected for speciation and molecular analyses. A survey of hypolithic and endolithic communities was carried out in the Miers, McKelvey, and Victoria Valleys in January 2012. A total of 64 hypolith and 13 endolith samples were collected for speciation and molecular analyses. In addition, 36 moss samples and 1 lichen samples were collected in Miers Valley. Instruments were deployed in the Victoria and McKelvey Valleys to facilitate our fieldwork in the 12/13 field season.

Related URL

Link: VIEW RELATED INFORMATION

Description: The investigators homepages

Geographic Coverage

(Click for Interactive Map)

Spatial coordinates

1.	N: -78.0	S: -78.16	E: 164.47	W: 163.61	(View on interactive map)

2.	N: -78.12	S: -78.17	E: 163.8	W: 163.74	(View on interactive map)
Min Altitude: 0 Max Altitude: 800

3.	N: -78.13	S: -78.16	E: 164.05	W: 163.57	(View on interactive map)
Min Altitude: 0 Max Altitude: 800

4.	N: -78.1	S: -78.17	E: 163.82	W: 163.74	(View on interactive map)
Min Altitude: 150 Max Altitude: 800

5.	N: -78.13	S: -78.16	E: 163.89	W: 163.57	(View on interactive map)

6.	N: -78.02	S: -78.1	E: 163.91	W: 163.68	(View on interactive map)
Min Altitude: 200 Max Altitude: 900

7.	N: -77.5	S: -78.14	E: 163.76	W: 161.88	(View on interactive map)
Min Altitude: 50 Max Altitude: 600

8.	N: -77.34	S: -78.1	E: 163.83	W: 161.39	(View on interactive map)

9.	N: -77.42	S: -78.09	E: 163.79	W: 160.49	(View on interactive map)
Min Altitude: 200 Max Altitude: 1000

Data Set Citation

Dataset Originator/Creator: Center for International Earth Science Information Network (CIESIN)/Columbia University

Dataset Title: Natural Resource Management Index (NRMI), 2011 Release

Dataset Release Date: 2011

Dataset Release Place: Palisades, NY

Dataset Publisher: NASA Socioeconomic Data and Applications Center (SEDAC)

Version: 2011.00

Data Presentation Form: tabular

Online Resource: http://sedac.ciesin.columbia.edu/data/set/nrmi-natural-resource-man...

Temporal Coverage

Start Date: 2006-01-01

Stop Date: 2011-12-31

Location Keywords

CONTINENT > ASIA > SOUTHCENTRAL ASIA > AFGHANISTAN

CONTINENT > AFRICA

Data Resolution

Horizontal Resolution Range: 10 km - < 50 km or approximately .09 degree - < .5 degree

Science Keywords

AGRICULTURE > SOILS > CALCIUM

AGRICULTURE > SOILS > CARBON

ISO Topic Category

ENVIRONMENT

IMAGERY/BASE MAPS/EARTH COVER

Quality The data set's lineage is described in:

Batjes NH and Gicheru P 2004. Soil data derived from SOTER for studies of carbon stocks and change in Kenya (GEF-SOC Project; Version 1.0), Technical Report 2004/01. ISRIC - World Soil Information, Wageningen (http://www.isric.org/isric/webdocs/Docs/ISRIC_Report_2004_01.pdf)

Access Constraints ISRIC kindly requests that you send us two reprints of any publication that uses data received from ISRIC World Soil Information. This will help us to determine the type and level of use of the data we distribute.

Use Constraints Materials developed by ISRIC are copyrighted, all rights reserved. Reproduction and dissemination of such materials for educational or non-commercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. Reproduction of materials for resale or other commercial purposes is prohibited without prior written permission of the ...

Ancillary Keywords

secondary (derived) soil data

soil parameter estimates

Data Set Progress

COMPLETE

Originating Center

ISRIC - World Soil Information

Data Center

World Data Center for Soils, ISRIC - World Soil Information, Wageningen

Data Center URL: http://www.isric.org
Dataset ID: ISRIC_SOTWISkenya

Data Center Personnel
Name: NIELS H. BATJES Phone: +31-317-471700 Email: niels.batjes at wur.nl Contact Address: ISRIC - World Soil Information (World Data Center for Soils) P.O. Box 353 City: Wageningen Postal Code: 6700 AJ Country: The Netherlands

Distribution

Distribution Media: Internet (file download)

Distribution Format: ArcView3.3 and MSAccess tables (zipped)

Fees: n/a

Personnel

NIELS H. BATJES

Role: INVESTIGATOR

Phone: +31-317-471700

Email: niels.batjes at wur.nl

Contact Address:

ISRIC - World Soil Information (World Data Center for Soils)

P.O. Box 353

City: Wageningen

Postal Code: 6700 AJ

Country: The Netherlands

Publications/References

Batjes NH and Gicheru P 2004. Soil data derived from SOTER for studies of carbon stocks and change in Kenya (ver. 1.0; GEFSOC Project). Report 2004/01, ISRIC - World Soil Information, Wageningen [http://www.isric.org/

Batjes NH 2004. Soil carbon stocks and projected changes according to land use and management: a case study for Kenya. Soil Use and Management ...