Site index curves and autecology of ash, sycamore and cherry in Wallonia (Southern Belgium)
peer reviewed ; The work described in this article forms part of an exploratory study whose aim was to determine the main aspects of the autecology of ash (Fraxinus excelsior L.), sycamore (Acer pseudoplatanus L.) and cherry (Prunus avium L.) in Wallonia (Southern Belgium). The potential productivity of these species was studied using the site index approach (the height a crop achieves at a given age) which is the most widely accepted means for estimating site quality. As a first step, a set of site index curves were constructed from stem analysis and semi-permanent plots data using the Johnso... Mehr ...
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Dokumenttyp: | journal article |
Erscheinungsdatum: | 1999 |
Verlag/Hrsg.: |
Oxford University Press
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Schlagwörter: | Site index curves / autecology / ash / sycamore / cherry / Wallonia / Life sciences / Agriculture & agronomy / Sciences du vivant / Agriculture & agronomie |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27288203 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/1449 |
peer reviewed ; The work described in this article forms part of an exploratory study whose aim was to determine the main aspects of the autecology of ash (Fraxinus excelsior L.), sycamore (Acer pseudoplatanus L.) and cherry (Prunus avium L.) in Wallonia (Southern Belgium). The potential productivity of these species was studied using the site index approach (the height a crop achieves at a given age) which is the most widely accepted means for estimating site quality. As a first step, a set of site index curves were constructed from stem analysis and semi-permanent plots data using the Johnson (1935) and Schumacher (1939) model for ash and the Duplat and Tran-Ha (1986) model II for sycamore and cherry. For ash, dominant height achieved at age 50 is related to various soil-site characters (through adequate multiple regression analysis) in order to make the predictions of site quality applicable to both forested and non-forested land. Furthermore the sites expressed through soil attributes are classified in 'a site catalogue' for each species according to their productivity level.