Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2118
DC FieldValueLanguage
dc.contributor.authorCorona, Piermaria-
dc.contributor.authorChirici, Gherardo-
dc.contributor.authorMarchetti, Marco-
dc.date.accessioned2011-06-07T09:57:37Z-
dc.date.available2011-06-07T09:57:37Z-
dc.date.issued2002-
dc.identifier.citationCorona, P., Chirici, G., Marchetti, M. 2002. Forest ecosystem inventory and monitoring as a framework for terrestrial natural renewable resource survey programmes. "Plant Biosystems" 136 (1): 69-82.it
dc.identifier.issn1126-3504-
dc.identifier.urihttp://hdl.handle.net/2067/2118-
dc.descriptionL'articolo è disponibile sul sito dell'editore www.tandf.co.uk/journals/it
dc.description.abstractThe established practice of forest ecosystem inventory and monitoring is recognised as a main support for terrestrial natural renewable resource survey programmes. Inventory and monitoring programmes focused on an overall assessment of ecosystem attributes evolving into global environmental survey programmes have been devised, but implementation is still quite contradictory. The state-of-the-art is discussed here, with special reference to the European Union and Italy. Topical issues are reviewed, with selective concern to: remote sensing capability, probability sampling, forest type (habitat) classification and landscape ecology, sustainable management indicators. Benefits brought by information technology are highlighted. Its development and the implementation of approaches based on a sound “per habitat” landscape ecological perspective will bring unique benefits, thus leading to an effective integration among sector surveys aimed at global environmental inventory/monitoring.it
dc.language.isoenit
dc.publisherTaylor & Francisit
dc.subjectForestsit
dc.subjectEcosystem managementit
dc.subjectInventory and monitoringit
dc.subjectLandscape ecologyit
dc.subjectInformation technologyit
dc.titleForest ecosystem inventory and monitoring as a framework for terrestrial natural renewable resource survey programmesit
dc.typeArticleit
dc.identifier.doi10.1080/11263500212331358531-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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