Relationships between woody vegetation and geomorphological patterns in three gravel-bed rivers with different intensities of anthropogenic disturbance
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journal contribution
posted on 2024-03-12, 16:39 authored by T. Sitzia, L. Picco, D. Ravazzolo, F. Comiti, Luca MaoLuca Mao, M.A. Lenzi<p>We compared three gravel-bed rivers in north-eastern Italy (Brenta, Piave, Tagliamento) having similar bioclimate, geology and fluvial morphology, but affected by different intensities of anthropogenic disturbance related particularly to hydropower dams, training works and instream gravel mining. Our aim was to test whether a corresponding difference in the interactions between vegetation and geomorphological patterns existed among the three rivers. In equally spaced and sized plots (n = 710) we collected descriptors of geomorphic conditions, and presence-absence of woody species. In the less disturbed river (Tagliamento), spatial succession of woody communities from the floodplain to the channel followed a profile where higher elevation floodplains featured more developed tree communities, and lower elevation islands and bars were covered by pioneer communities. In the intermediate-disturbed river (Piave), islands and floodplains lay at similar elevation and both showed species indicators of mature developed communities. In the most disturbed river (Brenta), all these patterns were simplified, all geomorphic units lay at similar elevations, were not well characterized by species composition, and presented similar persistence age. This indicates that in human-disturbed rivers, channel and vegetation adjustments are closely linked in the long term, and suggests that intermediate levels of anthropogenic disturbance, such as those encountered in the Piave River, could counteract the natural, more dynamic conditions that may periodically fragment vegetated landscapes in natural rivers. © 2015 Elsevier Ltd.</p>
History
School affiliated with
- Department of Geography (Research Outputs)
Publication Title
Advances in Water ResourcesVolume
93Pages/Article Number
193-204Publisher
ElsevierExternal DOI
ISSN
03091708Date Submitted
2018-07-25Date Accepted
2015-11-23Date of First Publication
2015-12-03Date of Final Publication
2016-01-01Date Document First Uploaded
2018-07-24ePrints ID
32778Usage metrics
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