TAILIEUCHUNG - Báo cáo lâm nghiệp: "Can understory vegetation accurately predict site index? A comparative study using floristic and abiotic indices in sessile oak (Quercus petraea Liebl.) stands in northern France"

Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: "Can understory vegetation accurately predict site index? A comparative study using floristic and abiotic indices in sessile oak (Quercus petraea Liebl.) stands in northern France" | Ann. For. Sci. 63 2006 31-42 INRA EDP Sciences 2006 DOI forest 2005091 31 Original article Can understory vegetation accurately predict site index A comparative study using floristic and abiotic indices in sessile oak Quercus petraea Liebl. stands in northern France Laurent BERGÈSa Jean-Claude GÉGOUTb Alain FRANCc a Cemagref Forest Ecosystems Research Unit Domaine des Barres 45290 Nogent-sur-Vernisson France b ENGREF LERFOB Équipe Écosystèmes Forestiers et Dynamique des Paysages 14 rue Girardet 54042 Nancy France c INRA Département Écologie des Forêts Prairies et Milieux Aquatiques CDA UMR Biodiversité Gènes et Écosystèmes 69 route d Arcachon Pierroton 33612 Cestas Cedex France Received 5 April 2004 accepted 28 January 2005 Abstract - We investigated the relevance of understory vegetation in indicating site productivity as expressed by sessile oak Quercus petraea Matt. Liebl. site index over a large territory. The relationships between site index and 1 understory vegetation or 2 soil topography and climate were studied using data from 99 even-aged high-forest stands located in northern France. Multiple regressions using floristic indices as predictors explained the same part of variance in site index as regressions using climate topography and soil factors R1 2 to . However better models were obtained by combining floristic and abiotic variables R2 to . We concluded that 1 site productivity can be assessed with the same precision using understory vegetation or abiotic variables separately even over a large region but 2 it would be more appropriate to combine soil physical and chemical properties climate and topography with floristic indices to estimate sessile oak site index. site index ecological factors floristic indices soil analyses Quercus petraea Matt. Liebl. Résumé - La vegetation du sous-bois peut-elle prédire correctement l indice de fertilite Comparaison de l efficacite des indices floristiques et abiotiques en futaie régulière

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