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Modeling land use change impacts on hydrology and the use of landscape metrics as tools for watershed management: The case of an ungauged catchment in the Philippines

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  • Boongaling, Cheamson Garret K.
  • Faustino-Eslava, Decibel V.
  • Lansigan, Felino P.

Abstract

The impacts of land use/land cover (LULC) change and the relationship between landscape pattern and hydrologic processes in the ungauged Calumpang watershed, Batangas, Philippines were studied. LULC change from 2003 to 2008 included an increase in built-up areas (69%) and a reduction of mixed vegetation including riparian vegetation (−10%), which have significant effects on hydrology. Using the Soil and Water Assessment Tool (SWAT), significant increases in surface runoff (5%) and sediment yield (6%) and a reduction in baseflow (−11%) were shown. Spatial and temporal variations of the impacts were observed: degraded sub-basins experienced increased streamflow (up to 31%) during stormy months and reduced baseflow (up to −26%) during dry months. In contrast, improved sub-basins decreased stormflow (up to −4%), and increased baseflow (up to 5%) during dry months. Nine landscape metrics known to affect hydrology were quantified using Fragstats and were correlated with surface runoff, baseflow and sediment yield using partial least square (PLS) regression. The results indicated that increasing patch density and largest patch index of agricultural and forested landscapes, respectively, leads to a decrease in surface runoff and sediment yield while increasing baseflow. In contrast, increasing cohesion and aggregation index of agricultural and forested landscapes, respectively, results to an increase in surface runoff and sediment yield as baseflow decreases. Although more observed data is needed for validation, the relationship model produced in this study can be applied to new data or used for scenario analysis. When coupled with economic, social and political assessments, the model serves as a useful tool in formulating comprehensive watershed management and land use policies.

Suggested Citation

  • Boongaling, Cheamson Garret K. & Faustino-Eslava, Decibel V. & Lansigan, Felino P., 2018. "Modeling land use change impacts on hydrology and the use of landscape metrics as tools for watershed management: The case of an ungauged catchment in the Philippines," Land Use Policy, Elsevier, vol. 72(C), pages 116-128.
  • Handle: RePEc:eee:lauspo:v:72:y:2018:i:c:p:116-128
    DOI: 10.1016/j.landusepol.2017.12.042
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    References listed on IDEAS

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    1. Panagopoulos, Y. & Makropoulos, C. & Baltas, E. & Mimikou, M., 2011. "SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations," Ecological Modelling, Elsevier, vol. 222(19), pages 3500-3512.
    2. Hernandez, E.C. & Henderson, A. & Oliver, D.P., 2012. "Effects of changing land use in the Pagsanjan–Lumban catchment on suspended sediment loads to Laguna de Bay, Philippines," Agricultural Water Management, Elsevier, vol. 106(C), pages 8-16.
    3. Casalí, J. & Giménez, R. & Díez, J. & Álvarez-Mozos, J. & Del Valle de Lersundi, J. & Goñi, M. & Campo, M.A. & Chahor, Y. & Gastesi, R. & López, J., 2010. "Sediment production and water quality of watersheds with contrasting land use in Navarre (Spain)," Agricultural Water Management, Elsevier, vol. 97(10), pages 1683-1694, October.
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