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Vegetation Classification and Mapping Project Report - USGS

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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

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