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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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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
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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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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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Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
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Environmental context dependency in species interactions.

Owen R Liu1, Steven D Gaines1

  • 1Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93106.

Proceedings of the National Academy of Sciences of the United States of America
|August 29, 2022
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Summary
This summary is machine-generated.

Ecological interactions change with environmental conditions. Empirical dynamic modeling of long-term data reveals how kelp forest species interactions vary, highlighting the North Pacific Gyre Oscillation

Keywords:
empirical dynamic modelingkelp-forest ecologynonlinear dynamicsspecies interactions

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Area of Science:

  • Marine Ecology
  • Time-Series Analysis
  • Ecological Modeling

Background:

  • Ecological interactions are dynamic and influenced by environmental variability.
  • Short-term experiments may not capture the full spectrum of species interactions.
  • Long-term monitoring data offer a valuable resource for understanding ecological dynamics.

Purpose of the Study:

  • To apply empirical dynamic modeling to reconstruct species interactions from long-term kelp forest data.
  • To investigate how environmental fluctuations affect the strength and direction of interactions between kelp and sea urchin species.
  • To determine if ecological interactions vary predictably with environmental context.

Main Methods:

  • Utilized empirical dynamic modeling (EDM) to analyze time-series data.
  • Examined long-term monitoring data from a southern California kelp forest ecosystem.
  • Assessed the influence of temperature, disturbance, and oceanographic regimes on species interactions.

Main Results:

  • Species interactions in kelp forests are significantly altered by environmental context.
  • The North Pacific Gyre Oscillation (NPGO) influences the competitive balance between kelp species.
  • Interaction strength variation is crucial for understanding complex ecosystem dynamics.

Conclusions:

  • Ecological interactions exhibit significant context dependency, varying with environmental conditions.
  • Empirical dynamic modeling and long-term data are essential for studying ecosystem dynamics.
  • Understanding variation in interaction strength is key to predicting ecosystem behavior.