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Related Concept Videos

Conservation of Small Populations02:04

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less likely to...
What is Conservation Biology?01:57

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Conservation biology is a scientific field that focuses on the preservation of biodiversity in order to protect ecosystems while meeting the needs of the human population. Humans require properly functioning ecosystems to maintain our supply of natural resources, including food, medicines, and building materials.
Optimal Foraging00:48

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Conservation of Declining Populations02:07

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Habitat Fragmentation02:31

Habitat Fragmentation

Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
Threats to Biodiversity01:50

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There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...

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Updated: Jun 25, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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

Published on: December 9, 2012

Getting the biggest bang for our conservation buck.

Darryl I Mackenzie1

  • 1Proteus Wildlife Research Consultants, PO Box 5193, Dunedin 9058, New Zealand. darryl@proteus.co.nz

Trends in Ecology & Evolution
|March 3, 2009
PubMed
Summary
This summary is machine-generated.

Limited conservation resources demand optimal decision-making. This study suggests adaptive resource management as a robust alternative to halt decisions, especially when population responses to conservation actions are uncertain.

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Area of Science:

  • Conservation science
  • Resource management
  • Ecology

Background:

  • Conservation programs often face limited financial and resource constraints.
  • Effective resource allocation is crucial for achieving conservation objectives.
  • Previous research proposed decision-making tools, including halting conservation efforts.

Purpose of the Study:

  • To discuss the findings of Chades et al. regarding conservation decision-making.
  • To propose formal adaptive resource management as an alternative approach.
  • To address uncertainty in population responses to management actions.

Main Methods:

  • Review and discussion of existing decision-making frameworks in conservation.
  • Conceptualization of adaptive resource management principles.
  • Analysis of management scenarios with population response uncertainty.

Main Results:

  • The approach by Chades et al. includes halting conservation as a potential decision.
  • Adaptive resource management offers a dynamic alternative for resource allocation.
  • This alternative is particularly valuable when population dynamics are unpredictable.

Conclusions:

  • Formal adaptive resource management provides a flexible framework for conservation planning.
  • It addresses the complexities of uncertain ecological responses to interventions.
  • This approach can lead to more resilient and effective conservation outcomes.