Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies
"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 environment...
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ftdlc:oai:http://dlc.dlib.indiana.edu:10535/3466 2023-05-15T15:07:45+02:00 Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies Gillison, Andrew N. 2002 http://hdl.handle.net/10535/3466 unknown http://hdl.handle.net/10535/3466 Ecology and Society 6 2 December plants biodiversity Agriculture Information & Knowledge Journal Article published 2002 ftdlc 2021-03-11T16:16:59Z "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." Article in Journal/Newspaper Arctic Tundra Indiana University: Digital Library of the Commons (DLC) Arctic |
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Open Polar |
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Indiana University: Digital Library of the Commons (DLC) |
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ftdlc |
language |
unknown |
topic |
plants biodiversity Agriculture Information & Knowledge |
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plants biodiversity Agriculture Information & Knowledge Gillison, Andrew N. Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies |
topic_facet |
plants biodiversity Agriculture Information & Knowledge |
description |
"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." |
format |
Article in Journal/Newspaper |
author |
Gillison, Andrew N. |
author_facet |
Gillison, Andrew N. |
author_sort |
Gillison, Andrew N. |
title |
Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies |
title_short |
Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies |
title_full |
Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies |
title_fullStr |
Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies |
title_full_unstemmed |
Generic, Computer-assisted Method for Rapid Vegetation Classification and Survey: Tropical and Temperate Case Studies |
title_sort |
generic, computer-assisted method for rapid vegetation classification and survey: tropical and temperate case studies |
publishDate |
2002 |
url |
http://hdl.handle.net/10535/3466 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_relation |
http://hdl.handle.net/10535/3466 Ecology and Society 6 2 December |
_version_ |
1766339176400158720 |