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Landscape context determinants to plant diversity in the permanent meadows of Southern European Alps
Authors:Antonio T Monteiro  Francesco Fava  João Gonçalves  Alfredo Huete  Fausto Gusmeroli  Gilberto Parolo  Donatela Spano  Stefano Bocchi
Institution:1. Department of Science for Nature and Environmental Resources, University of Sassari, Via Enrico di Nicola 9, 07100, Sassari, Italy
2. Impacts on Agriculture, Forest and Natural Ecosystems Division (IAFENT), Euro-Mediterranean Centre on Climate Change, Via Enrico di Nicola 9, 07100, Sassari, Italy
3. Remote Sensing of Environmental Dynamics Laboratory, University of Milan-Bicocca, Piazza della Scienza 1, 20126, Milan, Italy
4. Research Center in Biodiversity and Genetic Resources, University of Porto, Rua Campo Alegre s/n, 4169-007, Porto, Portugal
5. Plant Functional Biology and Climate Change Cluster, School of Environment, University Technology Sydney, PO Box 123, Broadway, Sydney, NSW, 2007, Australia
6. Fojanini Foundation of Sondrio, Via Valeriana 32, 23100, Sondrio, Italy
7. Department of Earth and Environmental Sciences, University of Pavia, Via S. Epifanio 14, 27100, Pavia, Italy
8. Department of Crop Science, University of Milan, Via Celoria 2, 20133, Milan, Italy
Abstract:In the Southern Alps, the role of landscape context on meadows plant diversity was evaluated using a multi-model information theoretic approach and five competing hypotheses of landscape context factors: habitat quality (H1), matrix quality (H2), habitat change (H3), matrix quality change (H4) and topography-environmental conditions (H5)- measured at three spatial scales (125, 250 and 500 m). Shannon diversity index and species richness represented plant diversity obtained in 34 plots (100 m2 size). Landscape context affected plant diversity measures differently. Matrix quality change at larger scale (500 m) was the most supported hypothesis explaining Shannon diversity index, while species richness responded mostly to topography-environmental conditions in the immediate surroundings (125 m). No effects of present-day habitat and matrix quality (H1 and H2) were found. Matrix quality change affected positively Shannon diversity index through an effect of landscape neighbourhood context on farming management practices. Due to the importance of exposure and inclination of slopes, topography-environmental conditions influenced species richness mostly through energy-driven processes and farming management strategies. In terms of scale, matrix quality change was the strongest hypothesis explaining Shannon diversity index at all scales, while the underlying process affecting species richness changed with scale (H5 or H3). Overall, landscape context explained only 25–28 % of the variation in plant diversity, suggesting that landscape management may support biodiversity conservation when comprised in a global strategy including farming practices. In the study area, change in landscape diversity may be a good indicator for Shannon diversity index and south-eastern facing meadows should be preserved.
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