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Updated: Feb 8, 2026

Uncovering Hidden Dynamics of Natural Photonic Structures Using Holographic Imaging
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Value of sample information in dynamic, structurally uncertain resource systems.

Byron K Williams1, Fred A Johnson2

  • 1Renewable Resources Associates, Oakton, VA, United States of America.

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|June 30, 2018
PubMed
Summary
This summary is machine-generated.

Uncertainty in natural resource management can be reduced by collecting more data. This study provides a framework to evaluate if the value of new information justifies the cost of data collection for improved conservation outcomes.

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Area of Science:

  • Ecology
  • Conservation Biology
  • Resource Management

Background:

  • Natural resource systems often have inherent uncertainties regarding their functioning and current status.
  • This uncertainty can impede effective management and conservation efforts.
  • Collecting additional data is a common strategy to reduce uncertainty and improve understanding.

Purpose of the Study:

  • To address the value of new information obtained through investigation in natural resource management.
  • To develop a conceptual framework and metrics for evaluating the "value of information" in conservation.
  • To assess whether investing resources in data collection is justified by potential management improvements.

Main Methods:

  • Developed a conceptual framework to quantify the value of information.
  • Defined metrics for assessing learning through management and external investigations.
  • Applied the framework and metrics to case studies, including the Florida scrub-jay (Aphelocoma coerulescens).

Main Results:

  • The study provides a method to assess the trade-offs between data collection costs and potential management benefits.
  • Demonstrates how to value information gained from both adaptive management and external research.
  • Highlights the importance of evaluating information value in conservation decision-making.

Conclusions:

  • A systematic approach to valuing information is crucial for optimizing resource allocation in conservation.
  • Understanding the value of information can lead to more effective and efficient natural resource management.
  • The framework offers a practical tool for conservation practitioners and researchers.