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Related Concept Videos

Ecological Niches02:02

Ecological Niches

All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.Multiple species cannot occupy the exact same niche within their habitat. If the niches of two or more species overlap to a large extent, the competitive exclusion principle dictates that one species will outcompete the other, forcing it to...
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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
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Speciation can proceed at markedly different rates, and evolutionary biologists commonly describe these differences through the models of gradualism and punctuated equilibrium. Both patterns explain how new species arise, but they differ in the tempo and continuity of evolutionary change. In both cases, evolutionary change arises from heritable variation within populations, with natural selection often shaping traits that improve survival and reproduction under specific environmental conditions.
Ecological Niche01:12

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Microorganisms occupy diverse habitats and perform essential ecological functions that are defined by their ecological niches. A microbial niche encompasses the organism’s mode of survival, including resource acquisition, reproduction, and interactions with other species in its environment. This concept is vital for understanding microbial community dynamics, biogeography, and ecosystem functionality.The fundamental niche of a microorganism includes the full spectrum of environmental...
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When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
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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 likely to...

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Related Experiment Video

Updated: Jun 21, 2026

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

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Published on: February 4, 2017

Quantifying inter- and intra-population niche variability using hierarchical bayesian stable isotope mixing models.

Brice X Semmens1, Eric J Ward, Jonathan W Moore

  • 1Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic & Atmospheric Administration, Seattle, Washington, USA. Brice.Semmens@noaa.gov

Plos One
|July 10, 2009
PubMed
Summary

This study introduces a new hierarchical stable isotope mixing model to measure diet variability within populations. The model reveals significant niche variability across individuals and subpopulations in gray wolves.

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Population Dynamics

Background:

  • Trophic niche width is determined by resource use variability.
  • Intra-population resource use variation occurs across individuals, social groups, and subpopulations.
  • Understanding hierarchical contributions to niche width is crucial for ecological and evolutionary insights.

Purpose of the Study:

  • To develop a hierarchical stable isotope mixing model for estimating diet composition and variability.
  • To deconstruct population niche width by quantifying contributions from different organizational levels.
  • To analyze diet variability in a gray wolf population.

Main Methods:

  • Developed a hierarchical stable isotope mixing model.
  • Simultaneously estimated prey composition and diet variability at individual and subpopulation levels.
  • Applied the model to stable isotope data from a gray wolf population.

Main Results:

  • Demonstrated extensive intra-population niche variability in gray wolves.
  • Quantified diet variability among individuals, social groups, and subpopulations.
  • Showed significant contributions of different organizational levels to overall population niche width.

Conclusions:

  • The hierarchical model effectively accounts for diet variability across multiple scales.
  • This approach enhances the analysis of niche width by incorporating population structure.
  • The findings highlight the importance of considering hierarchical organization in population ecology.