Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 509050
Title A network theory approach for a better understanding of overland flow connectivity
Author(s) Masselink, Rens J.H.; Heckmann, Tobias; Temme, Arnaud J.A.M.; Anders, Niels S.; Gooren, Harm P.A.; Keesstra, Saskia D.
Source Hydrological Processes 31 (2017)1. - ISSN 0885-6087 - p. 207 - 220.
DOI http://dx.doi.org/10.1002/hyp.10993
Department(s) Soil Physics and Land Management
Soil Geography and Landscape
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2017
Keyword(s) Connectivity - Graph theory - Networks - Overland flow - Spain
Abstract

Hydrological connectivity describes the physical coupling (linkages) of different elements within a landscape regarding (sub-) surface flows. A firm understanding of hydrological connectivity is important for catchment management applications, for example, habitat and species protection, and for flood resistance and resilience improvement. Thinking about (geomorphological) systems as networks can lead to new insights, which has also been recognized within the scientific community, seeing the recent increase in the use of network (graph) theory within the geosciences. Network theory supports the analysis and understanding of complex systems by providing data structures for modelling objects and their linkages, and a versatile toolbox to quantitatively appraise network structure and properties. The objective of this study was to characterize and quantify overland flow connectivity dynamics on hillslopes in a humid sub-Mediterranean environment by using a combination of high-resolution digital-terrain models, overland flow sensors and a network approach. Results showed that there are significant differences between overland flow connectivity on agricultural areas and semi-natural shrubs areas. Significant positive correlations between connectivity and precipitation characteristics were found. Significant negative correlations between connectivity and soil moisture were found, most likely because of soil water repellency and/or soil surface crusting. The combination of structural networks and dynamic networks for determining potential connectivity and actual connectivity proved a powerful tool for analysing overland flow connectivity.

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