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Related Concept Videos

Habitat Fragmentation02:31

Habitat Fragmentation

Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
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...
Ecological Disturbance02:26

Ecological Disturbance

An ecological disturbance is a temporary disruption in the environment resulting from abiotic, biotic, or anthropogenic factors, causing a pronounced change in an ecosystem. The impact of an ecological disturbance, which can depend on its intensity, frequency, and spatial distribution, plays a significant role in shaping the species diversity within the ecosystem.Ecological disturbances can be caused by an event as small as the trampling of underbrush to an incident as wide-ranging as a forest...
Threats to Biodiversity01:50

Threats to Biodiversity

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...
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...
Levels of Use of a GIS01:29

Levels of Use of a GIS

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Related Experiment Video

Updated: Jun 1, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Using multilevel spatial models to understand salamander site occupancy patterns after wildfire.

Nathan D Chelgren1, Michael J Adams, Larissa L Bailey

  • 1U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, Oregon 97331, USA. nathan_chelgren@usgs.gov

Ecology
|May 31, 2011
PubMed
Summary
This summary is machine-generated.

Multilevel Bayesian occupancy modeling improved wildlife distribution studies by accounting for detection uncertainty and complex data structures. This approach revealed higher salamander capture rates in burned areas, likely due to reduced ground cover, not increased occupancy.

Related Experiment Videos

Last Updated: Jun 1, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Area of Science:

  • Ecology
  • Wildlife Biology
  • Conservation Science

Background:

  • Wildlife distribution studies face challenges distinguishing true presence from detection uncertainty.
  • Occupancy modeling is an emerging method to address observation bias.
  • Existing models struggle with complex data structures like nested sampling units.

Purpose of the Study:

  • To apply multilevel Bayesian occupancy modeling to analyze terrestrial salamander occupancy in a wildfire area.
  • To partition sources of variation in occupancy and detection probabilities.
  • To compare spatial N-mixture models with traditional occupancy models.

Main Methods:

  • Utilized multilevel Bayesian occupancy modeling to handle nested data structures.
  • Employed a spatial N-mixture model, accounting for abundance variation.
  • Analyzed detection and occupancy probabilities for five terrestrial salamander species.

Main Results:

  • Spatial N-mixture models showed better fit than binary detection/non-detection models.
  • Salamander capture probability was higher in burned areas (odds ratio 2.06) due to reduced ground cover.
  • True occupancy showed weak support for being lower in burned areas (odds ratio 0.49), with burn effects smaller than other landscape variables.

Conclusions:

  • Multilevel Bayesian occupancy models effectively handle complex variation in wildlife data.
  • Detection probability, not true occupancy, was primarily affected by the wildfire.
  • The study highlights the importance of accounting for detection heterogeneity and complex data structures in ecological research.