Community composition; Elevation gradient; Variance partitioning; Vegetation architecture; Biodiversity; Bryophyta; Tracheophyta; Environmental predictor; High resolution
Abstract :
[en] Mounting evidence points to the need for high-resolution climatic data in biodiversity analyses under global change. As we move to finer resolution, other factors than climate, including other abiotic variables and biotic interactions play, however, an increasing role, raising the question of our ability to predict community composition at fine scales. Focusing on two lineages of land plants, bryophytes and tracheophytes, we determine the relative contribution of climatic, non-climatic environmental drivers, spatial effects, community architecture and composition of one lineage to predict community composition of the other lineage, and how our ability to predict community composition varies along an elevation gradient. The relationship between community composition of one lineage and 68 environmental variables at 2-25 m spatial resolution, architecture and composition of the other lineage, and spatial factors, was investigated by hierarchical and variance partitioning across 413 2x2m plots in the Swiss Alps. Climatic data, although significant, contributed less to the model than any other variable considered. Community composition of one lineage, reflecting both direct interactions and unmeasured (hidden) abiotic factors, was the best predictor of community composition of the other lineage. Total explained variance substantially varied with elevation, underlining the fact that the strength of the species composition-environment relationship varies depending on environmental conditions. Total variance explained increased towards high elevation up to 50 %, with an increasing importance of spatial effects and vegetation architecture, pointing to increasing positive interactions and aggregated species distribution patterns in alpine environments. In tracheophytes, an increase of the contribution of non-climatic environmental factors was also observed at high elevation, in line with the hypothesis of a stronger environmental control under harsher conditions. Further improvements of our ability to predict changes in plant community composition may involve the implementation of historical variables and higher-resolution climatic data to better describe the microhabitat conditions actually experienced by organisms.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Collart, Flavien ; Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie de l'évolution et de la conservation - Unité aCREA-Ulg (Conseils et Recherches en Ecologie Appliquée) ; Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland. Electronic address: flaviencollart@hotmail.com
Kiebacher, Thomas; Department of Botany, Stuttgart State Museum of Natural History, Stuttgart, Germany, Department of Systematic and Evolutionary Botany, University of Zurich, Zürich, Switzerland
Quetsch, Marion; Institute of Botany, University of Liège, Liège, Belgium
Broennimann, Olivier; Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland, Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
Guisan, Antoine ✱; Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland, Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland, Interdisciplinary Center for Mountain Research, University of Lausanne, Lausanne, Switzerland
Vanderpoorten, Alain ✱; Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie de l'évolution et de la conservation - Unité aCREA-Ulg (Conseils et Recherches en Ecologie Appliquée)
✱ These authors have contributed equally to this work.
Language :
English
Title :
To what extent can we predict variation of bryophyte and tracheophyte community composition at fine spatial scale along an elevation gradient?
SNSF - Swiss National Science Foundation F.R.S.-FNRS - Fonds de la Recherche Scientifique
Funding text :
This work was supported by a joint funding of the Swiss National Science Foundation (SNSF) and the Fund for Scientific Research (F.R.S.-FNRS) (grant no. 197777 and T.S007.21 ).
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