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Selection: Beguería:S [3 articles] 

Publications by author Beguería:S.

A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index

Journal of Climate In Journal of Climate, Vol. 23, No. 7. (19 November 2009), pp. 1696-1718,


The authors propose a new climatic drought index: the standardized precipitation evapotranspiration index (SPEI). The SPEI is based on precipitation and temperature data, and it has the advantage of combining multiscalar character with the capacity to include the effects of temperature variability on drought assessment. The procedure to calculate the index is detailed and involves a climatic water balance, the accumulation of deficit/surplus at different time scales, and adjustment to a log-logistic probability distribution. Mathematically, the SPEI is similar to the ...


Erosion in Mediterranean landscapes: changes and future challenges

Geomorphology, Vol. 198 (September 2013), pp. 20-36,


[Highlights] [::] Recent land uses contribute to soil erosion in marginal lands. [::] Long history of human activity explains many landscape characteristics. [::] Intensification and extensification/wealth and poverty increase spatial complexity. [Abstract] Intense erosion processes are widespread in the Mediterranean region, and include sheet wash erosion, rilling, gullying, shallow landsliding, and the development of large and active badlands in both subhumid and semi-arid areas. This review analyses the main environmental and human features related to soil erosion processes, and the main factors that explain the extreme ...


Identification of eroded areas using remote sensing in a badlands landscape on marls in the central Spanish Pyrenees

CATENA, Vol. 76, No. 3. (March 2009), pp. 182-190,


Identification of erosion areas on a regional scale can be very useful for environmental planning, and can help reduce land degradation and sediment yield to streams and reservoirs. Remote sensing techniques were used to determine erosion and erosion risk areas in a badlands landscape in the Ésera River catchment (Spanish Pyrenees). The size, sparse vegetation cover, and high erosion level in the badlands, enabled good visual and digital discrimination relative to other land covers and surfaces. The maximum likelihood algorithm was ...

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