Desarrollo y aplicación de un índice multifactorial de conectividad de sedimentos a escala de cuenca

J.M. Quiñonero-Rubio; C. Boix-Fayos; J. de Vente

doi:10.18172/cig.1988

Authors

J.M. Quiñonero-Rubio Universidad de Murcia
C. Boix-Fayos Grupo de Erosiony Conservacion de Suelos, CEBAS-CSIC
J. de Vente Departamento de Conservacion de Suelos y Agua y Manejo de Residuos Organicos, Grupo de Erosiony Conservacion de Suelos, CEBAS-CSIC

DOI:

https://doi.org/10.18172/cig.1988

Keywords:

sediment transport, geomorphological factors, connectivity index, check-dams, land use changes,

Abstract

This paper presents a new methodology to assess sediment connectivity at the catchment scale. The proposed index CCI (Catchment Connectivity Index) is based on a combination of factors in a GIS environment that determine the connectivity of sediment in different elements (slopes, basins, channels) of the river system. The factors evaluated are the transport capacity on hillslopes (TC), check-dams’ trap efficiency (TE), the presence of geomorphological barriers (GF), flow conditions (FC) and the sediment transport capacity in channels (SP). This index was applied to estimate connectivity in the Upper Taibilla catchment (314 km2) (SE Spain) for different land use (1956 and 2006) and management (check-dams) scenarios. This catchment has suffered major land use and land cover changes over the last 50 years. The intense agricultural abandonment process and the implementation of soil erosion control measures (reforestation and check-dams) have strongly affected sediment dynamics of the basin. Calculation of the CCI allows identifying which landscape elements have most impact on the sediment (dis)connectivity at catchment scale. The results show a significant reduction in the connectivity of 76% between 1956 and 2006. However, it is observed that the check-dams contribute only 3% to this reduction. Land use changes had a much higher impact on reducing sediment connectivity, except in some areas with steep slopes, or with the development of agriculture along the main channels of the drainage network. Altogether, CCI showed to be a relatively easy and effective method that can be used for spatio-temporal sediment connectivity analyses in areas with natural and human disturbances.

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