Developing digital vegetation for central hardwood forest types: A case study from Leslie County, KY

Bo Song; Wei-lun Tsai; Chiao-ying Chou; Thomas M. Williams; William Conner; Brian J. Williams

Treesearch

Developing digital vegetation for central hardwood forest types: A case study from Leslie County, KY

Informally Refereed

Authors:

Bo Song, Wei-lun Tsai, Chiao-ying Chou, Thomas M. Williams, William Conner, Brian J. Williams

Year:

2011

Type:

General Technical Report - Proceedings

Station:

Northern Research Station

Source:

In: Fei, Songlin; Lhotka, John M.; Stringer, Jeffrey W.; Gottschalk, Kurt W.; Miller, Gary W., eds. Proceedings, 17th central hardwood forest conference; 2010 April 5-7; Lexington, KY; Gen. Tech. Rep. NRS-P-78. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 58-66.

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Abstract

Digital vegetation is the computerized representation, with either virtual images or animations, of vegetation types and conditions based on current measurements or ecological models. Digital vegetation can be useful in evaluating past, present, or future land use; changes in vegetation linked to climate change; or restoration efforts. Digital vegetation can be spatially explicit at various scales: region, subregion, landscape, landtype, forest, or stand. Advances in computer technology allow us to build digital vegetation based on integrated environmental information (i.e., soils, topography, forest types, and vegetation composition).

Parent Publication

Proceedings, 17th Central Hardwood Forest Conference

Citation

Song, Bo; Tsai, Wei-lun; Chou, Chiao-ying; Williams, Thomas M.; Conner, William; Williams, Brian J. 2011. Developing digital vegetation for central hardwood forest types: A case study from Leslie County, KY. In: Fei, Songlin; Lhotka, John M.; Stringer, Jeffrey W.; Gottschalk, Kurt W.; Miller, Gary W., eds. Proceedings, 17th central hardwood forest conference; 2010 April 5-7; Lexington, KY; Gen. Tech. Rep. NRS-P-78. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 58-66.