Vegetation Classification and Mapping Project Report - USGS
Vegetation Classification and Mapping Project Report - USGS
Vegetation Classification and Mapping Project Report - USGS
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Executive Summary<br />
The classification <strong>and</strong> distribution<br />
mapping of the vegetation of Petrified<br />
Forest National Park (PEFO) <strong>and</strong><br />
surrounding environment was completed<br />
through a multi-agency effort between<br />
2003 <strong>and</strong> 2007. The National Park<br />
Service’s Southern Colorado Plateau<br />
Network facilitated the team that<br />
conducted the work, which comprised<br />
the U.S. Geological Survey’s Southwest<br />
Biological Science Center, Kansas State<br />
University, Northern Arizona University,<br />
<strong>and</strong> NatureServe.<br />
The project team described 39 plant<br />
communities for PEFO; 38 of which were<br />
described from quantitative classification<br />
based on field-relevé data collected in 1996<br />
<strong>and</strong> 2003. The team derived one additional<br />
plant community from field observations<br />
during the photointerpretation phase<br />
of the project <strong>and</strong> field documented it<br />
during accuracy assessment. The National<br />
<strong>Vegetation</strong> <strong>Classification</strong> St<strong>and</strong>ard served<br />
as a conceptual framework for assigning<br />
these plant communities to the alliance<br />
<strong>and</strong> association level. Seven of the thirtynine<br />
plant communities were designated<br />
“park specials”; that is, plant communities<br />
with insuffcient data to describe them as<br />
new alliances or associations.<br />
The project team also developed a spatial<br />
vegetation map database representing<br />
PEFO, with four different map-class<br />
schemas: base, group, macrogroup,<br />
<strong>and</strong> management map classes. The<br />
base map classes represented the finest<br />
level of spatial detail. Initial polygons<br />
were through manual interpretation<br />
of 2003/2004 1:6,000 true color<br />
aerial photography supplemented by<br />
occassional computer screen digitizing on<br />
a mosaic of digitized aerial photos. These<br />
polygons were labeled with base map<br />
classes during photointerpretation. Field<br />
visits verified interpretation concepts.<br />
The vegetation map database includes<br />
● 46 base map classes, which consist of<br />
associations <strong>and</strong> park specials classified<br />
with the quantitative analysis<br />
● one additional association noted during<br />
photointerpretation<br />
● non-vegetated l<strong>and</strong> cover, such as infrastructure,<br />
l<strong>and</strong> use, <strong>and</strong> geological l<strong>and</strong><br />
cover.<br />
The base map classes consist of 6,989<br />
polygons in the project area. A field-based<br />
accuracy assessment of the base map<br />
classes showed the overall accuracy to be<br />
40.6%.<br />
The group map classes represent<br />
aggregations of the base map classes,<br />
approximating the group level of the<br />
National <strong>Vegetation</strong> <strong>Classification</strong><br />
St<strong>and</strong>ard (NVCS), version 2 (Federal<br />
Geographic Data Committee 2008).<br />
Terrestrial ecological systems, as described<br />
by NatureServe (Comer et al. 2003),<br />
were used as a first approximation of the<br />
group level. The project team identified<br />
15 group map classes for this project. The<br />
overall accuracy of the group map classes<br />
was determined using the same accuracy<br />
assessment data as for the base map<br />
classes. The overall accuracy of the group<br />
representation of vegetation was 55.7%.<br />
The next higher level of the NVCS, the<br />
macrogroup, was also used to develop<br />
a map class schema. The project team<br />
identified 13 macrogroup map classes.<br />
The overall accuracy of the macro group<br />
representation of vegetation was 73.5%.<br />
In consultation with park staff, the team<br />
developed management map classes,<br />
consisting of park-defined groupings of<br />
base map classes intended to represent<br />
a balance between maintaining required<br />
accuracy <strong>and</strong> providing a focus on<br />
vegetation of particular interest or import<br />
to park managers. The 24 management<br />
map classes had an overall accuracy of<br />
68.6%.<br />
While the main products of this project<br />
are the vegetation classification <strong>and</strong> the<br />
vegetation map databases, a number of<br />
ix