2012
DOI: 10.1016/j.jhydrol.2011.10.028
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Hydrological impacts of land use change in three diverse South African catchments

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Cited by 118 publications
(84 citation statements)
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“…It is well known that the afforestation processes reduce the water availability [34,35,36] and the obtained results are consistent with other studies in the Pyrenees. [33] showed a reduction of annual discharge for the period 2021-2050 of -25% under climate conditions described in C4I model and a revegetation scenario.…”
Section: Discussionsupporting
confidence: 92%
“…It is well known that the afforestation processes reduce the water availability [34,35,36] and the obtained results are consistent with other studies in the Pyrenees. [33] showed a reduction of annual discharge for the period 2021-2050 of -25% under climate conditions described in C4I model and a revegetation scenario.…”
Section: Discussionsupporting
confidence: 92%
“…It is a multi-purpose and multi-layer model 85 (Figure 2) that can be used for catchment water resources assessment, assessment of land use change (Schulze, 2000;Schmidt et al, 2009;Warburton et al, 2012) and climate change impacts (Forbes et al, 2011;Graham et al, 2011;Kienzle et al, 2012).…”
Section: The Acru Hydrological Modelmentioning
confidence: 99%
“…It has also been suggested (Buytaert et al, 2010) that these challenges are more variable at the local and regional scale than at the global scale. Furthermore, since climatic 40 changes can influence land use changes (Warburton et al, 2012) and land use changes through vegetation dynamics can also feedback to impact regional climate (Wang and Eltahir, 2000;Xue, 1997), comprehensive understanding of land use change and climate change impacts on hydrology can only be gained from determination of both their combined and separate impacts.…”
Section: Introduction 30mentioning
confidence: 99%
“…The literature on land use change and its impacts on catchment hydrology is extensive, with studies examining the effects of (1) conversion to agricultural land use (Thanapakpawin et al, 2007;Warburton et al, 2012); (2) deforestation (Costa et al, 2003;Coe et al, 2011); (3) afforestation (e.g., Yang et al, 2012;Brown et al, 2013) and (4) urbanization (Bhaduri et al, 2001;Rose and Peters, 2001). Fewer studies have examined how traditional modeling approaches must be modified to handle nonstationary conditions, or how modeling methods can be used to assess impacts of land use change.…”
Section: Introductionmentioning
confidence: 99%
“…Firstly, we investigate the efficacy of the time-varying parameter method for sparsely observed, medium-sized catchments with spatially complex and gradual land use change (occurring over months/years). Several authors have demonstrated that impacts of land use change on the hydrologic response are dependent on many factors including the type and rate of land cover conversion as well the spatial pattern of different land uses within the catchment (Dwarakish and Ganasri, 2015;Warburton et al, 2012). In such situations, the effects of unresolved spatial heterogeneities in model inputs (e.g., rainfall) and the relatively less pronounced changes in land surface conditions make time-varying parameter detection and accurate hydrologic prediction more difficult.…”
Section: Introductionmentioning
confidence: 99%