Abstracts - faqs.org

Abstracts

Zoology and wildlife conservation

Search abstracts:
Abstracts » Zoology and wildlife conservation

A population estimator based on network sampling of tracks in the snow

Article Abstract:

It is difficult to estimate the size of populations for animals that are secretive and rare, such as mountain lions and lynxes. Past population size estimates of large furbearing species have included home range density, model-bases estimates and animal counts. A new estimator technique is based on network sampling of animal tracks in the snow. The method can be used for low-density species whose tracks can be traced using a small, low-flying aircraft. A stratified network sample design is used to obtain population estimates. The technique is used on gray wolf populations in Interior Alaska, where 37 groups containing 173 wolves were observed.

Author: Becker, Earl F., Spindler, Michael A., Osborne, Timothy O.
Publisher: Wildlife Society
Publication Name: The Journal of Wildlife Management
Subject: Zoology and wildlife conservation
ISSN: 0022-541X
Year: 1998
Methods, Surveys, Observations, Wolves, Alaska, Statistical sampling, Sampling (Statistics), Gray wolf, Animal tracks

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


On the use of demographic models of population viability in endangered species management

Article Abstract:

Demographic models are often used to decide on the management of wild, endangered species, the commonest model being Population Viability Analysis (PVA). A new study evaluates the use of demographic models for the management of endangered species and reviews the most frequently used models. It is suggested that predictions from some models are unreliable because of poor demographic information and that links between PVA models and recovery options be established through field testing model assumptions and field validating secondary model predictions.

Author: Beissinger, Steven R., Westphal, M. Ian
Publisher: Wildlife Society
Publication Name: The Journal of Wildlife Management
Subject: Zoology and wildlife conservation
ISSN: 0022-541X
Year: 1998
Usage, Mathematical models, Endangered species

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Sampling Plethodontid salamanders: sources of variability

Article Abstract:

An overview is presented on sampling methods used to assess salamander populations in Great Smoky Mountains National Park. The authors found that, while large-scale habitat factors help explain distribution and abundance patterns, current research methods are insufficient for detecting long-term trends in populations.

Author: Simons, Theodore R., Hyde, Erin J.
Publisher: Wildlife Society
Publication Name: The Journal of Wildlife Management
Subject: Zoology and wildlife conservation
ISSN: 0022-541X
Year: 2001
North Carolina, Tennessee, Statistical Data Included, Management, Environmental aspects, Habitat (Ecology), Biological diversity, Biodiversity, Habitats, Great Smoky Mountains National Park, North Carolina and Tennessee, Plethodontidae, Plethodontid salamanders

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Subjects list: Models, Natural history, Animal populations
Similar abstracts:
  • Abstracts: An earthquake mechanism based on rapid sealing of faults. No need to stick to the point. The dating of shallow faults in the Earth's crust
  • Abstracts: A neuronal network for computing population vectors in the leech. Dissociation between hand motion and population vectors from neural activity in motor cortex
  • Abstracts: Even smaller radar tags on insects. Tracking fish with electronic tags. Tales behind the tags
  • Abstracts: The strongest size. Slick switching of X-rays. Selective assembly on a surface supramolecular aggregates with controlled size and shape
  • Abstracts: Roots exert a strong influence on the temperature sensitivity of soil respiration. Respiration as the main determinant of carbon balance in European forests
This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.
Some parts © 2025 Advameg, Inc.