Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What are Populations and Communities?00:30

What are Populations and Communities?

Populations are groups of individuals of the same species that inhabit a shared environment. Communities include multiple co-existing, interacting populations of different species. Metapopulations span multiple populations of the same species that occupy different areas. Metapopulations interact through immigration and emigration, providing genetic diversity that lends resilience to harsh environments. Population size and density can be estimated using quadrat and mark and recapture...
Types of Selection01:46

Types of Selection

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...
Speciation Rates01:07

Speciation Rates

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.
Conservation of Small Populations02:04

Conservation of Small Populations

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...
Conservation of Declining Populations02:07

Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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)...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Long-term assessment of quality of life in the older patients with fragility hip fracture.

Journal of bone and mineral metabolism·2025
Same author

An Acromioclavicular Joint Cyst Treated by Aspiration and Several Intraarticular Injections of Hyaluronan: A Case Report.

JBJS case connector·2025
Same author

Scale dependent niche conservatism in fish communities of the largest freshwater lake in China.

Oecologia·2025
Same author

Constructing age-structured matrix population models for all fishes.

PeerJ·2025
Same author

Climate change linked to functional homogenization of a subtropical estuarine system.

Ecology and evolution·2022
Same author

Predictive factors of non-treatment and non-persistence to osteoporosis medication after fragility hip fractures at 3 years after discharge: a multicentre, prospective cohort study in the northern Kyushu district of Japan.

Archives of osteoporosis·2021

Related Experiment Video

Updated: Jul 6, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

Identifying interactions among salmon populations from observed dynamics.

Masami Fujiwara1

  • 1Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, 110 Shaffer Road, Santa Cruz, California 95060, USA. masami.fujiwara@noaa.gov

Ecology
|April 2, 2008
PubMed
Summary

Analyzing chinook salmon populations reveals complex interactions beyond simple counts. Maximum autocorrelation factor analysis identified shared environmental trends influencing spawning abundance across different watersheds.

More Related Videos

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria
07:25

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

Published on: July 20, 2017

Boldness, Aggression, and Shoaling Assays for Zebrafish Behavioral Syndromes
08:43

Boldness, Aggression, and Shoaling Assays for Zebrafish Behavioral Syndromes

Published on: August 29, 2016

Related Experiment Videos

Last Updated: Jul 6, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria
07:25

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

Published on: July 20, 2017

Boldness, Aggression, and Shoaling Assays for Zebrafish Behavioral Syndromes
08:43

Boldness, Aggression, and Shoaling Assays for Zebrafish Behavioral Syndromes

Published on: August 29, 2016

Area of Science:

  • Ecology
  • Population Dynamics
  • Fisheries Science

Background:

  • Population interaction studies often rely on count data, which can oversimplify complex ecological relationships.
  • Identifying interactions among populations is crucial for effective conservation and management strategies.

Purpose of the Study:

  • To investigate the spawning abundance dynamics of fall-run chinook salmon in the California Central Valley, Klamath Basin, and Columbia River Basin.
  • To uncover underlying trends and potential resource-mediated interactions influencing salmon populations across these distinct watersheds.

Main Methods:

  • Utilized multivariate time-series analysis, specifically maximum autocorrelation factor analysis (MAFA).
  • Applied MAFA to multiple time series of salmon escapement abundance data from each watershed.
  • Investigated coherent trends and their varying importance across the three salmon groups.

Main Results:

  • Identified multiple underlying trends affecting chinook salmon spawning abundance in each analyzed watershed.
  • Found that some identified trends were coherent across different salmon groups, suggesting shared environmental influences.
  • Observed that variations in the relative importance of these trends explained differences in population dynamics among the three groups.

Conclusions:

  • Simple correlation analyses are insufficient for understanding population interactions; multivariate methods are more effective.
  • Environmental factors, reflected in shared trends, play a significant role in chinook salmon population dynamics.
  • Understanding the differential impact of these trends is key to explaining variations in salmon abundance across regions.