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dc.contributor.authorMikolajczak, A.
dc.contributor.authorMaréchal, D.
dc.contributor.authorSanz, T.
dc.contributor.authorIsenmann, M.
dc.contributor.authorThierion, V.
dc.contributor.authorLuque, Sandra
dc.identifier.citationMikolajczak , A , Maréchal , D , Sanz , T , Isenmann , M , Thierion , V & Luque , S 2015 , ' Modelling spatial distributions of alpine vegetation : a graph theory approach to delineate ecologically-consistent species assemblages ' , Ecological Informatics , vol. In press .
dc.identifier.otherPURE: 216799146
dc.identifier.otherPURE UUID: 0195db8b-6754-4362-85f9-102c2beee83b
dc.identifier.otherRIS: urn:F077A07C77C457062130832269BB1908
dc.identifier.otherScopus: 84948576126
dc.identifier.otherWOS: 000366876400023
dc.descriptionThis work was partly funded by the French Ministry of Ecology, Sustainable Development and Energy in support of the development of the CARHab project (2011-2015) on mapping the terrestrial habitats of France. In addition, this work benefited from a synergy with the Divgrass project (Plant Functional Diversity of Permanent Grasslands) (CESAB/FRB funded, France).en
dc.description.abstractSafeguarding biodiversity has been one of the most important issues on the environmental and forest policies agenda since the 1990's. The problem remains in terms of decisions and knowledge on where to set appropriate conservation targets. Hence, we need detailed and reliable information about habitat structure and composition and methods for estimating this information over the whole spatial domain. In answer to this target, in France, the Ministry of Ecology launched an ambitious project to map the terrestrial vegetation at a scale of 1:25 000 known as CarHab. This project initiated in 2011, will be used as a strategic spatial planning tool in answer to key issues in relation to biodiversity, conservation, green infrastructures and to report on the conservation status of habitats and species of community interest. We use species-distribution models (SDMs) to identify areas that are ecologically suitable for the presence of species based on specific habitat characteristics. Available techniques using graph theory enable identification of groups of species (assemblages) based on ecological affinities. Species co-occurrences (present within the same assessment plot), revealing a shared ecological niche, are analysed using algorithms derived from graph theory in order to define different nodes of species affinities. Thus, the resulting assemblages are based on ecological similarities. Hence, these assemblages are used to develop models of the potential distribution of alpine vegetation communities. The BIOMOD platform is used to facilitate the simultaneous implementation of different modelling approaches that can be compared in order to choose the most suitable and accurate for each species assemblage obtained from graph theory. Using the different relevant spatially explicit results provides a more comprehensive vision of the communities' spatial distributions.
dc.relation.ispartofEcological Informaticsen
dc.rightsCopyright © 2015 Published by Elsevier B.V. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectHabitat modellingen
dc.subjectAlpine vegetationen
dc.subjectGraph theoryen
dc.subjectVegetation assemblagesen
dc.subjectConservation planningen
dc.subjectBiodiversity mappingen
dc.subjectGE Environmental Sciencesen
dc.titleModelling spatial distributions of alpine vegetation : a graph theory approach to delineate ecologically-consistent species assemblagesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews.Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews.Centre for Geoinformaticsen
dc.description.statusPeer revieweden

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