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Related Concept Videos

Variance01:15

Variance

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The deviations show how spread out the data are about the mean. A positive deviation occurs when the data value exceeds the mean, whereas a negative deviation occurs when the data value is less than the mean. If the deviations are added, the sum is always zero. So one cannot simply add the deviations to get the data spread. By squaring the deviations, the numbers are made positive; thus, their sum will also be positive.
The standard deviation measures the spread in the same units as the data....
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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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Population Growth00:57

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Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Conservation of Small Populations02:04

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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...
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Limits to Natural Selection01:38

Limits to Natural Selection

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Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Allowing variance may enlarge the safe operating space for exploited ecosystems.

Stephen R Carpenter1, William A Brock2, Carl Folke3

  • 1Center for Limnology, University of Wisconsin-Madison, Madison, WI 53706; srcarpen@wisc.edu.

Proceedings of the National Academy of Sciences of the United States of America
|October 7, 2015
PubMed
Summary

Reducing short-term variability in ecosystem services can paradoxically increase risks and lead to undesirable ecosystem states. Sustainable management requires embracing variation to maintain resilience and adapt to change.

Keywords:
adaptive managementcritical transitionecosystemresiliencevariance

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Area of Science:

  • Ecosystem Management
  • Ecological Resilience
  • Environmental Planning

Background:

  • Variable ecosystem services complicate effective planning and resource management.
  • Strategies aiming to reduce short-term variability may be preferred for predictability.
  • Continuous short-term variance reduction can lead to adverse long-term ecosystem changes.

Purpose of the Study:

  • To investigate the effects of managing short-term variance on ecosystem services.
  • To assess the risk of crossing critical ecosystem thresholds due to variance management.
  • To understand the interplay between variance management and ecosystem resilience.

Main Methods:

  • Analysis of three well-understood ecosystem service models: lake eutrophication, wild population harvest, and rangeland herbivore yield.
  • Simulations and theoretical investigations into the consequences of reducing short-term variance.
  • Examination of how variance management impacts safe operating spaces and adaptive capacity.

Main Results:

  • Actions to decrease short-term variance increased the risk of crossing critical ecosystem thresholds.
  • Reduced variance led to less desirable ecosystem states and increased ecosystem fragility.
  • Variance management suppressed crucial information for adaptive strategies and cancelled resilience signals.

Conclusions:

  • Managing for decreased short-term variance can create ecosystem fragility and increase the risk of undesirable states.
  • Variance management is inseparably linked with the management of ecosystem resilience.
  • Allowing for variation, learning, and flexibility is key for adaptive management and sustaining capacity to deal with change.