Vegetation Classification and Mapping Project Report - the USGS
Vegetation Classification and Mapping Project Report - the USGS
Vegetation Classification and Mapping Project Report - the USGS
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<strong>USGS</strong>-NPS <strong>Vegetation</strong> <strong>Mapping</strong> Program<br />
Wind Cave National Park<br />
6. <strong>Vegetation</strong> <strong>Classification</strong> <strong>and</strong> Characterization<br />
The procedure for classifying vegetation followed guidelines set forth in <strong>the</strong> <strong>Vegetation</strong><br />
<strong>Classification</strong> St<strong>and</strong>ard (FGDC 1997) which was developed from <strong>the</strong> St<strong>and</strong>ardized National<br />
<strong>Vegetation</strong> <strong>Classification</strong> System (NVCS) (TNC 1994). This national system contains seven<br />
classification levels with <strong>the</strong> two finest (lowest) being <strong>the</strong> alliance <strong>and</strong> association (community)<br />
levels. Associations are separated from alliances through <strong>the</strong> use of floristic composition <strong>and</strong> are<br />
named by <strong>the</strong> most dominant <strong>and</strong>/or indicator species. If two or more dominant species occur in<br />
<strong>the</strong> same stratum a dash symbol is used. If <strong>the</strong> species occur in different strata <strong>the</strong>n a slash is<br />
used. Paren<strong>the</strong>ses are used in instances when <strong>the</strong> diagnostic species are not consistently present<br />
in <strong>the</strong> vegetation unit.<br />
<strong>Classification</strong> for <strong>the</strong> WICA study area involved placing all observation point data <strong>and</strong> plot data<br />
into groups based on vegetation structure <strong>and</strong> composition. From here, extensive floristic<br />
knowledge of <strong>the</strong> field team allowed most of <strong>the</strong> sampled community types to be qualitatively<br />
evaluated <strong>and</strong> subjectively assigned to an existing NVCS class. In a few instances, new NVCS<br />
classes were discerned <strong>and</strong> prepared from evaluations of <strong>the</strong> floristic data. Additional analyses<br />
were performed using <strong>the</strong> plot data combined with o<strong>the</strong>r similar Black Hills data (including o<strong>the</strong>r<br />
local National Parks) to provide a better regional perspective on vegetation types. These were<br />
quantitatively analyzed using ordination techniques (Detrended Correspondence Analysis<br />
"DCA"<strong>and</strong> Non-Metric Multidimensional Scales "NMS"), a clustering algorithm, Unweighted<br />
Pair-Group Method Using Arithmetic Means (UPGMA), <strong>and</strong> Two-Way Indicator Species<br />
Analysis (TWINSPAN). Since, in a number of cases, <strong>the</strong>re were only a few sample plots per<br />
vegetation type, <strong>the</strong> above analyses could not be solely relied upon for classification. However,<br />
<strong>the</strong> results of <strong>the</strong> numerical analyses were compared to <strong>the</strong> subjective classification in order to<br />
detect any discrepancies between <strong>the</strong> two. All analyses were completed using PC-ORD<br />
(McCune <strong>and</strong> Mefford 1997).<br />
A synoptic vegetation key for WICA was prepared during <strong>the</strong> 1998 field season (Appendix 8).<br />
The key was tested during <strong>the</strong> Accuracy Assessment process, resulting in only minor<br />
modifications. A synoptic key leading to community type descriptions was chosen ra<strong>the</strong>r than a<br />
Materials <strong>and</strong> Methods 23