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Related Concept Videos

Design Consideration01:22

Design Consideration

Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key aspect...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Actuarial Approach01:20

Actuarial Approach

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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Hazard Rate

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Related Experiment Video

Updated: Jul 14, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A dynamical approach to evaluate risk in resource management.

I A Hatton1, K S McCann, J Umbanhowar

  • 1Department of Biology, McGill University, Montreal H3A 1B1, Canada. ian.hatton@mail.mcgill.ca

Ecological Applications : a Publication of the Ecological Society of America
|July 11, 2006
PubMed
Summary

Understanding population dynamics is crucial for resource management. This study introduces dynamical signatures to assess population trends (declining, sustainable, increasing) and their rates, aiding in risk assessment and decision-making for natural resources.

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An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

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Last Updated: Jul 14, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Area of Science:

  • Ecology
  • Population Dynamics
  • Conservation Biology

Background:

  • Depletion of natural resources necessitates understanding management risks.
  • Population dynamics are influenced by ecological factors and require robust assessment methods.

Purpose of the Study:

  • To outline an approach for characterizing time-series data using dynamical signatures.
  • To evaluate the likelihood of population trends (declining, sustainable, increasing) and their rates.
  • To provide a foundation for decision analysis and risk assessment in natural resource management.

Main Methods:

  • Developing and applying dynamical signatures to time-series data.
  • Incorporating uncertainty in model parameters for robust analysis.
  • Presenting methods for evaluating scenario likelihood and graphical representation.

Main Results:

  • Dynamical signatures can robustly characterize population trends and rates of change.
  • The approach accounts for model parameter uncertainty and provides associated risks.
  • Methods for likelihood evaluation and graphical representation are demonstrated.

Conclusions:

  • Dynamical signatures offer a framework for informed decision-making in natural resource management.
  • Understanding ecological factors influencing population dynamics is key to risk assessment.
  • This approach enhances the understanding of risk associated with different management decisions.