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Relative Wilderness of the Eastern United States

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Relative Wildness of the eastern United States. A combination of data representing the six attributes of the land that contribute to its wildness. These attributes are solitude, remoteness, uncontrolled process, natural composition, unaltered structure, and pollution. For a full treatment of the wildness concept see "Indicators of Wildness: Using Attributes of the Land to Assess the Context of Wilderness" in McCool, Stephen F.; Cole, David N.; Borrie, William T.; O'Loughlin, Jennifer, comps. 2000. Wilderness science in a time of change conference--Volume 2; Wilderness in the context of larger ecosystems; 1999 May 23-27; Missoula MT. Proceeding RMRS-P-15-VOL-2. Ogden., UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. This data for the eastern United States is produced as part of a TWS effort to define the concept of wildness in a manner that allows its mapping. This effort is undertaken in support of our strategic goal of working toward the creation of a national network of wildlands. The wildness concept offers a new way in which to look at landscapes. It demonstrates that wildness is a continuum, that it is relative to the landscape being examined, and that it is present in all landscapes--large and small, urban and undeveloped. The data not only allows for the creation of hard copy and digital maps of relative wildness in a landscape, it can be used as input to other processes in which wildness may have meaning. The wildness concept, as developed by The Wilderness Society, embodies subtleties it is important to understand so that wildness mapping data is not inappropriately used or interpreted. While review of the conceptual paper referenced elsewhere in this metadata provides information necessary for proper understanding, that paper does not address some of the subtleties discovered during our development of the mapping process subsequent to that paper's writing. Following is an attempt to highlight some of the more important of these subtleties. Our wildness index is a unitless relative rank--ordinal data in technical language. It does not show wildness in any absolute sense. There is no zero wildness, and a rank of 30 is not twice as wild as a rank of 15. From this fact follow several others. First, one cannot compare amounts of different wildness values in a landscape. A comparison of the number of grid cells with, say, wildness value 30 to the number of grid cells with the value 10 is inappropriate. The creation of the wildness attribute data (e.g. remoteness, solitude, etc.) usually involves assigning a range of source data values to five attribute ranks on an equal-area basis. This is done because there is often no more meaningful way in which to specify class breakpoints. Though combining the six attribute data sets often gives a highly variable number of cells in the different wildness classes, this only clouds the fact that the underlying data values are assigned so as to uniformly distribute them. Second, the wildness rank of any piece of land is dependent on the context in which that piece of land is considered. In the context of the contiguous United States, much of the Appalachian Mountains are only moderately wild: the vast open spaces of the West being far wilder by comparison. In the same context even the largest of city parks receives the lowest wildness ranking. In the context of the eastern United States, however, the Appalachians are some of the wildest lands, and in the context of a metropolitan area a city park would also receive a high wildness ranking. Thus, no single wildness data set is suitable to all locals and scales. Indeed, a primary value of our wildness mapping is that it allows us to view the land at different scales and to notice the way in which wildness patterns shift. Such multi-scale analysis adds a richness to our understanding of the landscape that a single-scale view does not. Third, when viewing wildness data developed for a single study area, looking for lands with high wildness index values does not give a full picture of the important wildlands in the area. Equally worth consideration are what one might call "wildness peaks"--areas of locally high wildness rank. These areas of relatively higher wildness than their surroundings can be important elements of a network of wildlands. Consideration of such peaks also extends the utility of wildness data developed at a single scale to analyses of smaller areas. It is these peaks that would most likely have the highest wildness index values if a complete wildness mapping project were undertaken for that smaller area. [Summary provided by The Wilderness Society]
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