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Updated: Mar 22, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Comparing two tools for ecosystem service assessments regarding water resources decisions
P James Dennedy-Frank1, Rebecca Logsdon Muenich2, Indrajeet Chaubey2
1Stanford University, Department of Earth System Science, Yang & Yamazaki (Y2E2) Building, 473 Via Ortega, Room 140, Stanford, CA 94305-4216, USA.
Comparing the Soil and Water Assessment Tool (SWAT) and InVEST models for hydrologic ecosystem services revealed differing water yield estimates. Model selection depends on site-specific factors like baseflow importance for land management guidance.
Area of Science:
- Ecohydrology
- Ecosystem Services Assessment
- Land Management Modeling
Background:
- Hydrologic ecosystem services are crucial for land management decisions.
- Ecohydrologic models like SWAT and InVEST are commonly used for assessing these services.
- Understanding model performance across different watershed characteristics is essential.
Purpose of the Study:
- To compare the Soil and Water Assessment Tool (SWAT) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) annual water yield model.
- To evaluate the utility of these models and new indices for guiding land management decisions related to hydrologic ecosystem services.
- To develop a framework for selecting appropriate models for specific decision contexts.
Main Methods:
- Comparative analysis of SWAT and InVEST models at two US watersheds (Wildcat Creek, Indiana; Upper Upatoi Creek, Georgia).
- Assessment of model performance in estimating spatial water yield distribution.
- Evaluation of model guidance for environmental flows, potable water supply, and rainfed irrigation.
Main Results:
- InVEST and SWAT showed similar water yield estimates in Wildcat Creek.
- Significant differences in water yield estimates were observed between InVEST and SWAT in Upper Upatoi Creek.
- InVEST's accuracy may be limited in watersheds where baseflow significantly contributes to total water yield due to unmodeled storage dynamics.
Conclusions:
- Model performance in estimating water yield varies significantly across different watershed types.
- The choice of ecohydrologic model is critical for accurate assessment of hydrologic ecosystem services.
- A framework is proposed to aid in selecting the most suitable model or index for specific land management decision-making contexts.
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