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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations, psychological...
Heuristics01:21

Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...

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Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Decision-making triggers in adaptive management.

Martin A Nie1, Courtney A Schultz

  • 1University of Montana, College of Forestry and Conservation, Missoula, MT 59812, USA. martin.nie@umontana.edu

Conservation Biology : the Journal of the Society for Conservation Biology
|August 16, 2012
PubMed
Summary
This summary is machine-generated.

Decision-making triggers in adaptive management plans can enhance accountability. However, their enforceability is limited by legal context and plan specificity, requiring careful design for effective implementation.

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Area of Science:

  • Environmental Science
  • Environmental Policy
  • Conservation Biology

Background:

  • Adaptive management plans aim to improve environmental outcomes through iterative decision-making based on monitoring.
  • Triggers are pre-defined commitments within these plans, specifying actions based on monitoring data.
  • The legal and political landscape significantly influences the implementation and effectiveness of adaptive management.

Purpose of the Study:

  • To analyze how decision-making triggers affect the accountability of adaptive management plans.
  • To investigate the political and legal factors influencing the application of adaptive management by U.S. federal agencies.
  • To assess the enforceability and challenges associated with triggers in real-world adaptive management cases.

Main Methods:

  • Qualitative review of political and legal contexts of adaptive management.
  • In-depth case study analysis of three adaptive management plans utilizing triggers.
  • Examination of legal compliance with the U.S. National Environmental Policy Act and judicial review.

Main Results:

  • Key adaptive management components like controls and feedback loops were often missing from plans.
  • Enforceability of monitoring and triggered mitigation actions varied based on applicable laws and trigger specificity.
  • Contentious issues included monitoring program design, funding, interpretation, precaution levels, and baseline definitions.

Conclusions:

  • Triggers can improve adaptive management accountability by establishing clear points for plan reevaluation.
  • Careful design and clear legal frameworks are crucial for the effective implementation of triggers.
  • Addressing challenges in monitoring, funding, and baseline definition is essential for successful adaptive management.