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Related Concept Videos

Types of Selection01:46

Types of Selection

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Symbiosis00:58

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Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...
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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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Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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Related Experiment Video

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JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning
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Stability and selective extinction in complex mutualistic networks.

Hyun Woo Lee1, Jae Woo Lee1, Deok-Sun Lee2

  • 1Department of Physics, Inha University, Incheon 22212, Korea.

Physical Review. E
|February 23, 2022
PubMed
Summary
This summary is machine-generated.

We analyzed plant-pollinator networks using the Lotka-Volterra equation. Our findings reveal how species extinction and interaction strength influence network stability and abundance, with data supporting theoretical predictions.

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Area of Science:

  • Ecology
  • Theoretical Ecology
  • Network Theory

Background:

  • Plant-pollinator mutualistic networks are crucial ecological interactions.
  • These networks often exhibit broad degree distributions, indicating heterogeneous species interactions.
  • Understanding species abundance dynamics is key to predicting ecosystem stability.

Purpose of the Study:

  • To investigate species abundance in plant-pollinator networks with broad degree distributions.
  • To analyze the stability of these networks using the Lotka-Volterra equation under uniform intragroup competition.
  • To identify factors influencing network stability and species persistence.

Main Methods:

  • Modeling species abundance using the Lotka-Volterra equation.
  • Analyzing network stability by examining fixed points and their components.
  • Employing the annealed approximation to derive species abundance formulas.
  • Developing a phase diagram to illustrate stability regimes.

Main Results:

  • Network stability is determined by the signs of nonzero components of fixed points.
  • Species abundance depends on species degrees and rescaled interaction strengths.
  • A phase diagram shows different stable fixed points based on model parameters.
  • Selective extinction of small-degree species enhances stability by reducing effective interactions.

Conclusions:

  • The study provides a theoretical framework for understanding species abundance in mutualistic networks.
  • Rescaled minimum species abundances from empirical data collapse according to theoretical predictions.
  • Network structure and species interactions significantly impact ecological stability and persistence.