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![]() The Network Newsletter Vol. 16 No.2 Fall 2003 |
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Hubbard Brook LTER Launches Online Education ProjectInteractive Web site offers virtual tour for armchair ecologistsTom Siccama and Ellen Denny, HBR LTER Long-term analysis of vegetation data is fundamental to the LTER program. However, vegetation monitoring produces tremendous amounts of data that are difficult to summarize. At HBR we were faced with 38 years of accumulated long-term forest plot monitoring data becoming buried and inaccessible in the lab (and in the database on the web!!). Over the last two years, we have made significant progress in making these data more of a living tool, converting what was static into something dynamic and useful.
The result is several PERL-based programs that allow the web user to summarize and graph the forest plot data from several Hubbard Brook study areas in a variety of ways-all of them online and on the fly! Datasets utilized in this effort include inventories spanning almost 40 years for Hubbard Brook's biogeochemical reference watershed (Watershed 6), 20 years for a clearcut watershed (Watershed 5), and 5 years for a watershed (Watershed 1) treated with calcium (see the LTER Network Newsletter online, Spring 2000, page 2). Also included are 20 years of data in a lower elevation tagged-tree study area, and a mid-1990s inventory that encompasses the entire Hubbard Brook valley. Forest communities include the northern hardwood forest (largely beech, sugar maple and yellow birch) and the boreal transition forest (dominated by spruce, fir and white birch). As of July 2003, we have the following interactive programs operating: We are constantly learning how to use new programming tools and these websites are a work in progress. The next leap we hope to make is to be able to spatially map the data in a colored GIS-type map and from there, who knows! |
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| - Copyright 2003 Long Term Ecological Research Network - This material is based upon work supported by the National Science Foundation under Cooperative Agreement #DEB-0236154. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site. |