
Document généré le 16/09/2025 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/riparian-vegetation-metrics-as-tools-for-guiding-ecological-restoration-in-riverscapes
Titre alternatif
Producteur
Contributeur(s)
EDP Sciences
Identifiant documentaire
11-dkey/10.1051/kmae/2011074
Identifiant OAI
oai:edpsciences.org:dkey/10.1051/kmae/2011074
Auteur(s):
F. Constança Aguiar,M. Rosário Fernandes,M. Teresa Ferreira
Mots clés
GIS applications
ecological condition
indices
landscape metrics
riparian woods
SIG
état écologique
indices
descripteurs du paysage
bois rivulaires
Date de publication
24/11/2011
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
en
Thème
Type de ressource
Source
https://doi.org/10.1051/kmae/2011074
Droits de réutilisation
Région
Département
Commune
Description
Riparian woods are frequently fragmented and degraded,
mainly as a consequence of land-cover related stresses, water diversion,
regulation and invasive species. The need to enhance these systems
towards their natural functioning has motivated numerous restoration
efforts. However, river managers still need guidance on how to allocate
scarce restoration resources, and to monitor and report the effectiveness
of the restoration programmes. For this, the present work proposes
a stepwise methodological procedure over spatial scales, using quantitative
descriptors (metrics) of the ecological condition
of the riparian vegetation. This evaluation is based on the composition
and cover of plant assemblages, species attributes, and spatial
patterns, which can reflect the deviation of the structure and condition
of the riparian zone from the near-natural state to an impaired situation.
Landscape metrics obtained from high spatial resolution imagery are
used for the evaluation of the spatial features of the riparian
zone, followed by the calculation of a riparian multimetric index,
based on field observations. The integration of multi-spatial scale
information provided by landscape metrics and biological metrics
is essential and recommended for decision support of end-users and
to evaluate the success of restoration measures.
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