Predicting forest site characteristics from floristics ; an automated approach for forest management in the Walloon Region. ; Caractériser la station forestière à partir de la flore : une approche automatisée pour la gestion forestière en Wallonie

Forest tree and plant species prosper in the specific ecological conditions of their ecological niche. Together, the proper knowledge of the ecological niche of tree species and the proper description of a Forest site form a keystone that ensures a good match between forest trees and their environment. In Wallonia, an original toolbox is in use since 1991, made up of an extensive documentation about tree species ecological requirements and a comprehensive methodology of forest site characterization. Gathered under the denomination of "forest tree autecology tool", this toolbox has been recentl... Mehr ...

Verfasser: Lisein, Jonathan
Fayolle, Adeline
Claessens, Hugues
Dokumenttyp: conference poster not in proceedings
Erscheinungsdatum: 2020
Schlagwörter: forest site / socio-ecological groups / ecological niche / hydro-trophic ecogram / phytometer / random forest classification / écogramme / niche écologique / station forestière / groupe écologique / flore indicatrice / Life sciences / Agriculture & agronomy / Sciences du vivant / Agriculture & agronomie
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26902331
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://orbi.uliege.be/handle/2268/247184

Forest tree and plant species prosper in the specific ecological conditions of their ecological niche. Together, the proper knowledge of the ecological niche of tree species and the proper description of a Forest site form a keystone that ensures a good match between forest trees and their environment. In Wallonia, an original toolbox is in use since 1991, made up of an extensive documentation about tree species ecological requirements and a comprehensive methodology of forest site characterization. Gathered under the denomination of "forest tree autecology tool", this toolbox has been recently reviewed and updated by a scientific consortium and is now available online (https://www.fichierecologique.be/). The objective of this toolbox is to determine which tree species fits the best a particular forest site. It is based on the location of the site and of the ecological niche of the tree species into a 3 axis matrix “ecogram” (climatic zone, nutrient and moisture level) summarizing soil and topographic information, issued from direct observations or cartographic data, thanks to dichotomic keys. Along with the abiotic approach that helps to position the forest site in the ecogram, a floristic approach has also been used independently for years. Thange (1969) has settled the foundations of the socio-ecological groups, which are defined as a set of forest plant species who share the same ecological niche. These socio-ecological groups are commonly used in southern Belgium to describe forest sites. But still, the determination of the nutrient and moisture levels of a forest site based on its species composition is a complex task which requires a high level of expertise. Here, we present an automated approach which aims at determining nutrient and moisture levels of any sites from the plant species sampled. We believe that an increased level of automatization will promote the use of these methodology of forest site identification, tested for long but requiring detailed expertise. Numerous floristic samples were ...