Nordic Board for Wildlife Research | Page 2 | Land Portal
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Acronym: 
NKV
Focal point: 
Dr. Åsa Langefors

Ubicación

Oikos Editorial Office Ecology Building Lund University SE-223 62 Lund
Suecia
SE
Working languages: 
inglés

What is NKV?

The Nordic Board for Wildlife Research (NKV) was established in 1971 after recommendation from the Nordic Council of Ministers in 1968.

The purpose of NKV is to promote wildlife research within the Nordic region, with particular emphasis on the continuous improvement of research quality and quantity, and the dissemination of knowledge both within the scientific and general communities.

The NKV will work to do this by:

Sustaining and publishing the international scientific journal “Wildlife Biology”,
Initiating and supporting Nordic Congresses of Wildlife Research at regular intervals of 4 years,
Supporting workshops, symposia etc. on relevant wildlife topics, and
Supporting students and researchers with respect to costs of travels that furthers Nordic cooperation.
Items in this list are given in order of priority.

Nordic Board for Wildlife Research Resources

Mostrando 6 - 10 de 12
Library Resource
Artículos de revistas y libros
Diciembre, 2011
Estados Unidos de América

Effective management of small expanding populations is aided by the availability of reliable estimates of distribution, as well as by demographic characteristics such as population density, genetic diversity and sex ratio. The range of the black bear Ursus americanus in the southeastern United States is expanding to include areas from which it has been extirpated for more than a century. Lack of baseline demographic data in recently reoccupied areas leaves little information on which to base emerging management needs.

Library Resource
Artículos de revistas y libros
Diciembre, 2009
Noruega

We present a bioeconomic model for moose Alces alces management in Norway, where two sub-populations of moose are subject to different site-specific mortality rates caused by the spatial distribution of territorial wolf Canis lupus packs, and are coupled by the seasonal migration of moose. The costs and benefits of moose are asymmetrically distributed in space, since they congregate in the wolf territory during winter where most browsing damage occurs.

Library Resource
Artículos de revistas y libros
Diciembre, 2009

Predictive logistic regression models are commonly used to make informed decisions related to wildlife management and conservation, such as predicting favourable wildlife habitat for land conservation objectives and predicting vital rates for use in population models. Frequently, models are developed for use in the same population from which sample data were obtained, and thus, they are intended for internal use within the same population. Before predictions from logistic regression models are used to make management decisions, predictive ability should be validated.

Library Resource
Artículos de revistas y libros
Diciembre, 2009
Dinamarca

Precise knowledge of how game species react to different hunting practices is a prerequisite for sound management of intensively hunted populations. We compared behavioural and spatial behaviour of five GPS-collared female red deer Cervus elaphus in Denmark before, during and after exposure to 21 driven hunts (2––5 times each). In 53% of all hunts, deer left their normal home ranges within 24 hours, moving on average 4 km and remaining away for an average of six days.

Library Resource
Artículos de revistas y libros
Diciembre, 2009
Suecia

Many environmental patterns that may have profound effects on wildlife communities occur at the landscape scale, e.g. habitat fragmentation, human demography and distribution of various resources. In order to understand how alterations of such patterns could influence e.g. wildlife species occurrences and community composition, it is important to first study these relationships empirically and at the appropriate scale. We surveyed the wildlife community in a boreal ecosystem in central Sweden using pellet group counts, while walking ‘‘wildlife triangles’’.

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