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Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies

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dc.contributor.author Gillison, Andrew N. en_US
dc.date.accessioned 2009-07-31T15:01:27Z
dc.date.available 2009-07-31T15:01:27Z
dc.date.issued 2002 en_US
dc.date.submitted 2008-10-03 en_US
dc.date.submitted 2008-10-03 en_US
dc.identifier.uri https://hdl.handle.net/10535/3466
dc.description.abstract "Standard methods of vegetation classification and survey tend to be either too broad for management purposes or too reliant on local species to support inter-regional comparisons. A new approach to this problem uses species-independent plant functional types with a wide spectrum of environmental sensitivity. By means of a rule set, plant functional types can be constructed according to specific combinations from within a generic set of 35 adaptive, morphological plant functional attributes. Each combination assumes that a vascular plant individual can be described as a 'coherent' functional unit. When used together with vegetation structure, plant functional types facilitate rapid vegetation assessment that complements species-based data and makes possible uniform comparisons of vegetation response to environmental change within and between countries. Recently developed user-friendly software (VegClass) facilitates data entry and the analysis of biophysical field records from a standardized, rapid, survey pro forma. Case studies are presented at a variety of spatial scales and for vegetation types ranging from species-poor arctic tundra to intensive, multitaxa, baseline biodiversity assessments in complex, humid tropical forests. These demonstrate how such data can be rapidly acquired, analyzed, and communicated to conservation managers. Sample databases are linked to downloadable software and a training manual." en_US
dc.subject plants en_US
dc.subject biodiversity en_US
dc.title Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector Agriculture en_US
dc.subject.sector Information & Knowledge en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 6 en_US
dc.identifier.citationnumber 2 en_US
dc.identifier.citationmonth December en_US


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