Abstract. Although hydrologic models provide hypothesis testing of complex
dynamics occurring at catchments, freshwater quality modeling is
still incipient at many subtropical headwaters. In Brazil, a few
modeling studies assess freshwater nutrients, limiting policies on
hydrologic ecosystem services. This paper aims to compare freshwater
quality scenarios under different land-use and land-cover (LULC) change,
one of them related to ecosystem-based adaptation (EbA), in
Brazilian headwaters. Using the spatially semi-distributed Soil and
Water Assessment Tool (SWAT) model, nitrate, total phosphorous (TP) and
sediment were modeled in catchments ranging from 7.2 to
1037 km2. These headwaters were eligible areas of the
Brazilian payment for ecosystem services (PES) projects in the
Cantareira water supply system, which had supplied water to
9 million people in the São Paulo metropolitan region (SPMR). We considered
SWAT modeling of three LULC scenarios: (i) recent past scenario
(S1), with historical LULC in 1990; (ii) current land-use
scenario (S2), with LULC for the period 2010–2015 with field
validation; and (iii) future land-use scenario with PES
(S2 + EbA). This latter scenario proposed forest cover
restoration through EbA following the river basin plan by
2035. These three LULC scenarios were tested with a selected record
of rainfall and evapotranspiration observed in 2006–2014, with the
occurrence of extreme droughts. To assess hydrologic services, we
proposed the hydrologic service index (HSI), as a new composite
metric comparing water pollution levels (WPL) for reference
catchments, related to the grey water footprint (greyWF) and water
yield. On the one hand, water quality simulations allowed for the
regionalization of greyWF at spatial scales under LULC
scenarios. According to the critical threshold, HSI identified areas
as less or more sustainable catchments. On the other hand,
conservation practices simulated through the S2 + EbA scenario
envisaged not only additional and viable best management practices (BMP),
but also preventive decision-making at the headwaters of water
supply systems.