Sensitivity analysis of a sediment dynamics model applied in a Mediterranean river basin: global change and management implications.

Climate change and land-use change are major factors influencing sediment dynamics. Models can be used to better understand sediment production and retention by the landscape, although their interpretation is limited by large uncertainties, including model parameter uncertainties. The uncertainties related to parameter selection may be significant and need to be quantified to improve model interpretation for watershed management. In this study, we performed a sensitivity analysis of the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) sediment retention model in order to determine which model parameters had the greatest influence on model outputs, and therefore require special attention during calibration. The estimation of the sediment loads in this model is based on the Universal Soil Loss Equation (USLE). The sensitivity analysis was performed in the Llobregat basin (NE Iberian Peninsula) for exported and retained sediment, which support two different ecosystem service benefits (avoided reservoir sedimentation and improved water quality). Our analysis identified the model parameters related to the natural environment as the most influential for sediment export and retention. Accordingly, small changes in variables such as the magnitude and frequency of extreme rainfall events could cause major changes in sediment dynamics, demonstrating the sensitivity of these dynamics to climate change in Mediterranean basins. Parameters directly related to human activities and decisions (such as cover management factor, C) were also influential, especially for sediment exported. The importance of these human-related parameters in the sediment export process suggests that mitigation measures have the potential to at least partially ameliorate climate-change driven changes in sediment exportation.

[1]  Gianni Bellocchi,et al.  Comparison of sensitivity analysis techniques: A case study with the rice model WARM , 2010 .

[2]  Max D. Morris,et al.  Factorial sampling plans for preliminary computational experiments , 1991 .

[3]  D. Regüés,et al.  Geomorphic agents versus vegetation spreading as causes of badland occurrence in a Mediterranean subhumid mountainous area. , 2000 .

[4]  D. Walling STUDYING THE IMPACT OF GLOBAL CHANGE ON EROSION AND SEDIMENT DYNAMICS: CURRENT PROGRESS AND FUTURE CHALLENGES , 2008 .

[5]  Andrea Saltelli,et al.  An effective screening design for sensitivity analysis of large models , 2007, Environ. Model. Softw..

[6]  Andrea Vacca,et al.  Rates and spatial variations of soil erosion in Europe: A study based on erosion plot data , 2010 .

[7]  Fergus L. Sinclair,et al.  Land use management effects on flood flows and sediments – guidance on prediction , 2013 .

[8]  Radhika Dhingra,et al.  Sensitivity analysis of infectious disease models: methods, advances and their application , 2013, Journal of The Royal Society Interface.

[9]  Mark Rounsevell,et al.  The response of soil erosion and sediment export to land-use change in four areas of Europe: The importance of landscape pattern , 2008 .

[10]  R. D. Groot,et al.  Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision making , 2010 .

[11]  Jing Yang,et al.  Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis , 2011, Environ. Model. Softw..

[12]  Jean-Paul Chavas,et al.  Ecosystem Valuation under Uncertainty and Irreversibility , 2000, Ecosystems.

[13]  Anthony J. Jakeman,et al.  A review of erosion and sediment transport models , 2003, Environ. Model. Softw..

[14]  Francesc Gallart,et al.  Seasonal patterns of runoff and erosion responses to simulated rainfall in a badland area in Mediterranean mountain conditions (Vallcebre, southeastern Pyrenees) , 2004 .

[15]  P. Sarah Soil organic matter and land degradation in semi-arid area, Israel , 2006 .

[16]  Edoardo Patelli,et al.  Global sensitivity of structural variability by random sampling , 2010, Comput. Phys. Commun..

[17]  P. Llorens,et al.  STUDYING SOLUTE AND PARTICULATE SEDIMENT TRANSFER IN A SMALL MEDITERRANEAN MOUNTAINOUS CATCHMENT SUBJECT TO LAND ABANDONMENT , 1997 .

[18]  W. H. Wischmeier,et al.  Predicting rainfall erosion losses : a guide to conservation planning , 1978 .

[19]  Hanoch Lavee,et al.  THE IMPACT OF CLIMATE CHANGE ON GEOMORPHOLOGY AND DESERTIFICATION ALONG A MEDITERRANEAN- ARID TRANSECT , 1998 .

[20]  Stefano Tarantola,et al.  Sensitivity analysis of the rice model WARM in Europe: Exploring the effects of different locations, climates and methods of analysis on model sensitivity to crop parameters , 2010, Environ. Model. Softw..

[21]  L. F. Sanches Fernandes,et al.  Environmental land use conflicts: A threat to soil conservation , 2014 .

[22]  Heather Tallis,et al.  Impact of climate extremes on hydrological ecosystem services in a heavily humanized Mediterranean basin , 2014 .

[23]  Authority and the Individual , 1951 .

[24]  I. Moore,et al.  Physical basis of the length-slope factor in the universal soil loss equation , 1986 .

[25]  Marta Schuhmacher,et al.  Sensitivity analysis of ecosystem service valuation in a Mediterranean watershed. , 2012, The Science of the total environment.

[26]  M. Canals,et al.  Sediment discharge of the rivers of Catalonia, NE Spain, and the influence of human impacts , 2009 .

[27]  E. Clark,et al.  The off-site costs of soil erosion , 1985 .

[28]  T. D. Mitchell,et al.  Ecosystem Service Supply and Vulnerability to Global Change in Europe , 2005, Science.

[29]  L. S. Sanches Fernandes,et al.  Soil losses in rural watersheds with environmental land use conflicts. , 2014, The Science of the total environment.