Overslaan en naar de inhoud gaan

page search

Community Organizations NRC Research Press
NRC Research Press
NRC Research Press
Publishing Company
Phone number
613-656-9846

Location

65 Auriga Drive, Suite 203
K2E 7W6 ‎
Ottawa
Ontario
Canada
Working languages
English
French

NRC Research Press is a division of Canadian Science Publishing - a not-for-profit publisher


The NRC Research Press journals are Canadian Science Publishing’s flagship suite of award-winning international publications. We publish 20 titles under this imprint, many in continuous publication since 1929.


The journals cover a broad range of scientific disciplines and feature more than 2000 articles each year published on a state-of-the-art electronic platform. These award-winning, high-impact scientific and technical journals have an international readership in more than 175 countries.


In September 2010, the Press transitioned out of the National Research Council of Canada into an independent not-for-profit organization operating under the name Canadian Science Publishing. The new company retained its highly skilled staff and its editorial team comprising some of the world’s leading researchers, and today continues a long tradition of quality and innovation.


Canadian Science Publishing is an independent, not-for-profit scholarly publisher dedicated to serving the needs of researchers and their communities.Visit the Canadian Science Publishing website for more information about our organization, publishing services, support for societies, and other initiatives. 

Members:

Resources

Displaying 21 - 25 of 27

Fire emissions estimates in Siberia: evaluation of uncertainties in area burned, land cover, and fuel consumption

Journal Articles & Books
december, 2012
Russia

Boreal forests constitute the world's largest terrestrial carbon pools. The main natural disturbance in these forests is wildfire, which modifies the carbon budget and atmosphere, directly and indirectly. Wildfire emissions in Russia contribute substantially to the global carbon cycle and have potentially important feedbacks to changing climate. Published estimates of carbon emissions from fires in Russian boreal forests vary greatly depending on the methods and data sets used. We examined various fire and vegetation products used to estimate wildfire emissions for Siberia.

Plantation forest leases: experiences of New Zealand Māori

Journal Articles & Books
december, 2012
New Zealand

Numerous scholars agree that to integrate stakeholder demands into forest management is the central challenge facing forestry science. A necessary step is to translate public views and expectations into forest management techniques. This study uses document analysis and in-depth interviews to understand the values and expectations of New Zealand’s indigenous people (Māori) who have exotic species forests planted on their ancestral land.

cost effective stratified two-stage sampling design to estimate the forest land area of southern Chile

Journal Articles & Books
december, 2011
Chile

There is a growing demand for improving the measurement of forest resources, with more frequent updating and better information on environmental variables. We explore the cost efficiency of a stratified two-stage design using area sampling to estimate the forest plantation and native forest areas in southern Chile. Analytical expressions for the approximate mean square error of combined and separate ratio estimators are derived applying Taylor linearization.

model of gas mixing into single-entrance tree cavities during wildland fires

Journal Articles & Books
december, 2011

The level of protection to fauna provided by tree cavities during wildland fires is not well understood. Here we present a model for estimating the transport of combustion gases into cylindrical, single-entrance cavities during exposures caused by different wildland fire scenarios. In these shelters, the entrance occurs near the top of the cavity.

Quantifying bias in pattern indices extracted from spatially offset landscape samples

Journal Articles & Books
december, 2011

Modern ecological models often account for the influence of the surrounding environment by using landscape pattern indices (LPIs) as measures of landscape structure. Ideally, the landscape samples from which these LPIs are extracted should be centered on the locations where the response variable was measured. However, in situations where this is not possible due to a lack of adequate full-coverage landcover data, the question arises as to what degree this circumstance creates a bias in the value of the LPIs, thereby obscuring their relation with the response variable.