Diatom and associated data for examining the effects of heavy metal and petroleum hydrocarbon contamination on benthic diatom communities in Antarctica
Entry ID:
diatoms_sre3
|
[
Get Data
]
[
Update this Record
]
|
Updating this record requires registration.
|
Summary
Abstract:
Full title: Diatom and associated data for a manipulative field experiment examining the effects of heavy metal and petroleum hydrocarbon contamination on benthic diatom communities in the Windmill Islands, Antarctica. A manipulative field experiment was performed to assess the effects of heavy metals and petroleum hydrocarbons on benthic diatom communities in the Windmill Islands. Three ... treatments were used (control, metal contaminated, and petroleum hydrocarbon contaminated), with replicates of each treatment deployed at three locations (Sparkes Bay, Brown Bay and O'Brien Bay). The datasets associated with this experiment include the concentrations of metals and hydrocarbons within samples, as well as diatom data (raw counts, and the relative abundance of benthic species).
This work was completed as part of ASAC project 1130 (ASAC_1130) and project 2201 (ASAC_2201).
Public summary from project 1130:
Algal mats grow on sea floor in most shallow marine environments. They are thought to contribute more than half of the total primary production in many of these areas, making them a critical food source for invertebrates and some fish. We will establish how important they are in Antarctic marine environments and determine the effects of local sewerage and tip site pollution. We will also investigate the impact on the algal mats of the additional UV radiation which results from the ozone hole.
Public summary from project 2201:
As a signatory to the Protocol on Environmental Protection to the Antarctic Treaty Australia is committed to comprehensive protection of the Antarctic environment. This protocol requires that activities in the Antarctic shall be planned and conducted on the basis of information sufficient to make prior assessments of, and informed judgements about, their possible impacts on the Antarctic environment. Most of our activities in the Antarctic occur along the narrow fringe of ice-free rock adjacent to the sea and many of our activities have the potential to cause environmental harm to marine life. The Antarctic seas support the most complex and biologically diverse plant and animal communities of the region. However, very little is known about them and there is certainly not sufficient known to make informed judgements about possible environmental impacts.
The animals and plants of the sea-bed are widely accepted as being the most appropriate part of the marine ecosystem for indicating disturbance caused by local sources. Attached sea-bed organisms have a fixed spatial relationship with a given place so they must either endure conditions or die. Once lost from a site recolonisation takes some time, as a consequence the structure of sea-bed communities reflect not only present conditions but they can also integrate conditions in the past. In contrast, fish and planktonic organisms can move freely so their site of capture does not indicate a long residence time at that location. Because sea-bed communities are particularly diverse they contain species with widely differing life strategies, as a result different species can have very different levels of tolerance to stress; this leads to a range of subtle changes in community structure as a response to gradually increasing disturbance, rather than an all or nothing response.
This project will examine sea-bed communities near our stations to determine how seriously they are affected by human activities. This information will be used to set priorities for improving operational procedures to reduce the risk of further environmental damage.
The fields in this dataset are:
Species
Site
Abundance
Treatment Type
Antimony
Arsenic
Cadmium
Chromium
Copper
Iron
Lead
Manganese
Mercury
Nickel
Silver
Tin
Zinc
Special Antarctic Blend
Lube 
Related URL
|
Description:
Download point for the data
|
Multimedia Sample
View full image
Caption:
Average 0-10 cm Soil Moisture
Description:
GLDAS Noah 3-Hourly 1.0 degree Average Layer 1 (0-10 cm) Soil Moisture on May 01, 2007 at 00Z [kg/m2]
|
|
Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
| |
N: 90.0
|
|
S: -60.0
|
|
E: 180.0
|
|
W: -180.0
|
|
Data Set Citation
Dataset Originator/Creator:
Hydrological Sciences Branch at NASA/Goddard Space Flight Center (GSFC/HSB)
Dataset Title:
GLDAS Noah Land Surface Model L4 3 Hourly 1.0 x 1.0 degree Experiment 1 Version 2
Dataset Release Date:
07.01.2010
Dataset Release Place:
Greenbelt, Maryland, USA
Dataset Publisher:
Goddard Earth Sciences Data and Information Services Center (GES DISC)
Version:
002
Online Resource:
http://disc.sci.gsfc.nasa.gov/hydrology/index.shtml
Data Resolution
Latitude Resolution:
1 degree
Longitude Resolution:
1 degree
Horizontal Resolution Range:
100 km - < 250 km or approximately 1 degree - < 2.5 degrees
Temporal Resolution:
3 hr
Temporal Resolution Range:
Hourly - < Daily
Quality
The data are provisional and subject to change as model improvements are implemented and new input data sets become available. Due to the fact that forcing data for Greenland are unreliable and the lack of a glacier/ice sheet model, snow water equivalent accumulates indefinitely in Greenland and a few other Arctic points. Therefore it is highly recommended that Greenland and other points with abnormally large snow water equivalent values be masked out when performing global analyses.
Access Constraints
None
Use Constraints
None
Data Set Progress
IN WORK
Distribution
Distribution Media:
Online (HTTP)
Distribution Format:
GRIB
Fees:
No Fee
Personnel
Role:
TECHNICAL CONTACT
Phone:
301-614-5224
Fax:
301-614-5268
Email:
gsfc-help-disc at lists.nasa.gov
Contact Address:
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Publications/References
Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J. K. Entin, J. P. Walker, D. Lohmann, and D. Toll, The Global Land Data Assimilation System, Bull. Amer. Meteor. Soc., 85(3): 381-394, 2004.
Creation and Review Dates
DIF Creation Date:
2010-05-28
Last DIF Revision Date:
2013-04-29
|
