Modeling seasonal water yield for landscape management applications in Peru and Myanmar

This research paper evaluates a geospatial tool from the InVEST software suite designed to quantify seasonal water balances, groundwater recharge, baseflow, and quickflow to support watershed management in Peru and Myanmar.

• The study tested a geospatial tool within the InVEST (integrated valuation of ecosystem services and trade-offs) software suite that utilizes land-use, topography, and monthly climate data to calculate spatial indices for quickflow, baseflow, and groundwater recharge.
• In a Peruvian basin, the tool's spatial distribution of baseflow contributions showed a strong correlation with an established model, with an r2 value of 0.81 at the parcel scale.
• Application of the model in Myanmar demonstrated satisfactory performance in representing month-to-month variation, with Nash-Sutcliffe-Efficiency between 0.6 and 0.8, although the researchers noted that errors are scale dependent, which limits the representation of processes in large basins.

APA

Stockholm Environment Institute (2020). Modeling seasonal water yield for landscape management applications in Peru and Myanmar. https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/

Chicago

Stockholm Environment Institute. Modeling seasonal water yield for landscape management applications in Peru and Myanmar. 2020. https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=Modeling seasonal water yield for landscape management applications in Peru and Myanmar |date=8 June 2020 |url=https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2020modeling, author = {{Stockholm Environment Institute}}, title = {{Modeling seasonal water yield for landscape management applications in Peru and Myanmar}}, institution = {Stockholm Environment Institute}, year = {2020}, month = jun, url = {https://www.sei.org/publications/modeling-seasonal-water-yield-for-landscape-management-applications-in-peru-and-myanmar/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }