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Related Concept Videos

What is Biodiversity?01:19

What is Biodiversity?

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Biodiversity describes the variety of living things at multiple organizational levels: genetic, species and ecosystem diversity. Species diversity includes all branches of the evolutionary tree from single-celled prokaryotic organisms, bacteria, and archaea, to the eukaryotic kingdoms: plants; animals; fungi; and protists. To date, there have been about 1.75 million species identified, and new species are discovered every week.
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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.
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Measures of species biodiversity, such as richness (i.e., the number of species present) and evenness (i.e., their relative abundance), describe an ecological community’s structure. Many factors affect community structure, including abiotic factors (e.g., sunlight and nutrients), disturbances (e.g., fire or flood), species interactions (e.g., predation or competition), and chance events (e.g., foreign species invasion). Certain species—such as keystone species—also play a...
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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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Related Experiment Video

Updated: Dec 20, 2025

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How community adaptation affects biodiversity-ecosystem functioning relationships.

Flora Aubree1, Patrice David2, Philippe Jarne2

  • 1UniversitĂ© CĂ´te d'Azur, INRAE, CNRS, ISA, 06900, Sophia Antipolis, France.

Ecology Letters
|June 2, 2020
PubMed
Summary
This summary is machine-generated.

Community evolution significantly alters biodiversity-ecosystem functioning (BEF) relationships. Co-adapted communities show different productivity and invasion patterns compared to random ones, highlighting eco-evolutionary feedbacks.

Keywords:
Adaptive dynamicseco-evolutionary dynamicsinvasionproductivityspecies interactionsspecies traitsstability

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Ecosystem Science

Background:

  • Biodiversity-ecosystem functioning (BEF) relationships are increasingly recognized as being influenced by evolutionary dynamics.
  • The precise nature and extent of these evolutionary impacts on BEF relationships are not well understood.

Discussion:

  • Community adaptation, where traits co-evolve, significantly alters emerging biodiversity-productivity, biodiversity-stability, and biodiversity-invasion relationships compared to random communities.
  • Co-adapted communities often exhibit less positive biodiversity-productivity relationships due to reduced sampling effects.
  • While community adaptation has a modest effect on invasion resistance, it markedly increases invasion tolerance, even in high-diversity settings.

Key Insights:

  • BEF relationships are contingent on ecosystem history and the degree of community adaptation.
  • Eco-evolutionary feedbacks can invert the direction of BEF relationships observed in random communities.
  • Co-adapted communities can maintain high invasion tolerance irrespective of their own diversity.

Outlook:

  • Short-term ecological studies may not accurately predict future ecosystem states once eco-evolutionary feedbacks occur.
  • Understanding community adaptation is crucial for predicting long-term ecosystem functioning and stability.
  • Future research should integrate evolutionary dynamics into ecological models to better capture ecosystem responses.