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The potential natural vegetation of large river floodplains – From dynamic to static equilibrium

Ochs, K.; Egger, G.; Weber, A.; Ferreira, T.; Householder, J. E.; Schneider, M.

Abstract:
The potential natural vegetation (PNV) is a useful benchmark for the restoration of large river floodplains because very few natural reference reaches exist. Expert-based approaches and different types of ecological models (static and dynamic) are commonly used for its estimation despite the conceptual differences they imply. For natural floodplains a static concept of PNV is not reasonable, as natural disturbances cause a constant resetting of succession. However, various forms of river regulation have disrupted the natural dynamics of most large European rivers for centuries. Therefore, we asked whether the consideration of succession dynamics and time dependent habitat turnover are still relevant factors for the reconstruction of the PNV. To answer this we compared the results of a simulation of the vegetation succession (1872–2016) of a segment of the upper Rhine river after regulation (damming, straightening and bank protection) to different statistic and expert-based modelling approaches for PNV reconstruction. The validation of the different PNV estimation methods against a set of independent reference plots and the direct comparison of their results revealed very similar performances. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000105749
Veröffentlicht am 13.06.2020
Originalveröffentlichung
DOI: 10.1016/j.jher.2020.01.005
Scopus
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2020
Sprache Englisch
Identifikator ISSN: 1570-6443, 1876-4444
KITopen-ID: 1000105749
Erschienen in Journal of hydro-environment research
Band 30
Seiten 71-81
Vorab online veröffentlicht am 22.02.2020
Schlagwörter Potential natural vegetation, PNV, Riparian vegetation, Floodplain, Modelling, Large rivers
Nachgewiesen in Scopus
Web of Science
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