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Related Experiment Video

Updated: Oct 3, 2025

Author Spotlight: Developing Cost-Effective and Customizable Balloon Tags for Fish Passage Studies

Author Spotlight: Developing Cost-Effective and Customizable Balloon Tags for Fish Passage Studies

Published on: October 13, 2023

Optimizing Amazonian dams for nature.

Gordon W Holtgrieve¹, Mauricio E Arias²

¹School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA.

Science (New York, N.Y.)

|February 17, 2022

Summary

This summary is machine-generated.

Algorithms evaluate potential gains, missed benefits, and environmental impacts. This research provides a framework for informed decision-making in complex scenarios.

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Published on: July 24, 2016

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Last Updated: Oct 3, 2025

Author Spotlight: Developing Cost-Effective and Customizable Balloon Tags for Fish Passage Studies

Author Spotlight: Developing Cost-Effective and Customizable Balloon Tags for Fish Passage Studies

Published on: October 13, 2023

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Published on: December 9, 2012

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Environmental science
Computer science
Decision science

Background:

Evaluating complex decisions with multiple objectives is challenging.
Understanding environmental trade-offs is crucial for sustainable development.

Purpose of the Study:

To develop and apply algorithms for assessing opportunities, forgone benefits, and environmental trade-offs.
To provide a quantitative framework for decision-making in scenarios with competing interests.

Main Methods:

Algorithmic assessment of decision outcomes.
Quantification of benefits and environmental impacts.
Analysis of forgone opportunities.

Main Results:

Algorithms successfully identified key opportunities and quantified forgone benefits.
Environmental trade-offs were systematically assessed.
The framework demonstrated utility in complex decision scenarios.

Conclusions:

Algorithmic approaches offer a robust method for evaluating multifaceted decisions.
This research facilitates more informed and sustainable choices by clarifying trade-offs.