Literature DB >> 31836212

The value of hydrologic information for watershed management programs: The case of Camboriú, Brazil.

Perrine Hamel1, Leah L Bremer2, Alexandra G Ponette-González3, Eileen Acosta4, Jonathan R B Fisher5, Bethel Steele6, André Targa Cavassani7, Claudio Klemz4, Everton Blainski8, Kate A Brauman9.   

Abstract

Investments in watershed services programs hold the promise to protect and restore ecosystems and water resources. The design and implementation of such programs is often accompanied by hydrologic modeling and monitoring, although the role of hydrologic information in meeting the needs of program managers remains unclear. In the Camboriú watershed, Brazil, we explored the value of hydrologic modeling and monitoring with respect to two dimensions: scientific credibility and use of generated knowledge in the design, implementation, and evaluation of the watershed management program. We used a combination of semi-structured interviews, focus groups, and hydrologic modeling under various levels of data availability to examine when improved models and data availability might build credibility and provide more useful information for decision makers. We found that hydrologic information was not actually used for the detailed design, but rather contributed to broad-scale support of the program by increasing scientific credibility. Model sophistication and data availability improved the credibility of hydrologic information but did not affect actual decisions related to program design. Hydrologic monitoring data were critical for model calibration, and high-resolution land use and land cover data, obtained via remote sensing, affected some model outputs which were not used to design the program. Our study suggests that identifying how hydrologic data will inform decision making should guide the level of effort used in hydrologic modeling and monitoring.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Decision support; InVEST; SWAT; Uncertainty; Watershed management

Year:  2019        PMID: 31836212     DOI: 10.1016/j.scitotenv.2019.135871

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Producing valuable information from hydrologic models of nature-based solutions for water.

Authors:  Kate A Brauman; Leah L Bremer; Perrine Hamel; Boris F Ochoa-Tocachi; Francisco Roman-Dañobeytia; Vivien Bonnesoeur; Edwing Arapa; Gena Gammie
Journal:  Integr Environ Assess Manag       Date:  2021-09-16       Impact factor: 3.084

  1 in total

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