Land cover effects on hydrologic services under a precipitation gradient
Ikusi/ Ireki
Data
2018Egilea
Zabaleta Lopetegui, Ane
Garmendia Oleaga, Eneko
Tamayo, I.
Antigüedad Auzmendi, Ignacio
Hydrology And Earth System Sciences 22(10) : 5227-5241 (2018)
Laburpena
Climate change impacts on the hydrological cycle are altering the quantity, quality, and temporal distribution of riverine discharge, necessitating a more rigorous consideration of changes in land cover and land use. This study establishes relationships between different land cover combinations (e.g. percentages of forest - both native and exotic - and pastureland) and hydrological services, using hydrological indices estimated at annual and seasonal timescales in an area with a steep precipitation gradient (900-2600mmyr1). Using discharge data from 20 catchments in the Bay of Biscay, a climate transition zone, the study applied multiple regression models to better understand how the interaction between precipitation and land cover combinations influence hydrological services. Findings showed the relationship between land cover combinations and hydrological services is highly dependent on the amount of precipitation, even in a climatically homogeneous and relatively small area. In general, in the Bay of Biscay area, the greater presence of any type of forests is associated with lower annual water resources, especially with greater percentages of exotic plantations and high annual precipitation. Where precipitation is low, forests show more potential to reduce annual and winter high flows than pasturelands, but this potential decreases as annual or seasonal precipitation increases. As annual precipitation increases, low flows increase as the percentage of exotic plantations decreases and pasturelands increase. Results obtained in this study improve understanding of the multiple effects of land cover on hydrological services, and illustrate the relevance of land planning to the management of water resources, especially under a climate change scenario. © Author(s) 2018.