Spatiotemporal analysis of the effects of forest covers on water yield in the Western Ghats of peninsular India

Abstract

Summary Biotic interference has greatly disturbed the forest cover, the forest soils and, therefore, the hydrological functioning of the forest ( Bonell and Bruijnzeel, 2005 ). Though widely debated, reduction in water yield (Water Yield: Total quantity of surface water that can be expected in a given period from a stream at the outlet of its catchment ( Subramanya, 2008 )) appears to be one such consequence. Scientific understanding of how this contentious issue affects the benefits of forests for water is critical to avoid unintended consequences ( IUFRO, 2007 ). Gaps in research exist for tropical forest areas that are now a general mix of primary forest and secondary vegetation interspersed with patches cleared for agriculture or other non-forest uses ( Bruijnzeel, 2004 , Giambelluca, 2002 ). For this reason, research on spatiotemporal variations in the effects of a mix of primary forest (Primary Forests: Old forests with no or inconsequential human disturbance), mature secondary forests (Secondary Forests: Forests regenerating largely through natural processes after significant human and/or natural disturbance of the original forest vegetation at a single point in time or over an extended period, and displaying a major difference in forest structure and/or canopy species composition with respect to nearby primary forests on similar sites ( Chokkalingam and Jong, 2001 )) and disturbed forests (Disturbed Forests: Forests that have been exploited on moderate to large scale for timber, fuel wood, fodder, shifting cultivation and other tangible benefits. Reforestation activities may or may not have been undertaken in them) on runoff coefficients was conducted in four watersheds in the Western Ghats of peninsular India. Forest cover (Forest Cover: All lands with tree cover of canopy density of 10% and above when projected vertically on the horizontal ground with minimum areal extent of one Ha) significantly (0.01