A Markov Chain Monte Carlo approach to joint simulation of regional areas burned annually in Canadian forest fires-Reference-Cited by-同舟云学术

A Markov Chain Monte Carlo approach to joint simulation of regional areas burned annually in Canadian forest fires

Published:2009-05 Issue:2 Volume:66 Page:173-180
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Magnussen Steen

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference58 articles.

1. On the multivariate generalized gamma distribution with exponential correlation;Aalo,2005

2. Direct carbon emissions from Canadian forest fires, 1959–1999;Amiro;Canadian Journal of Forest Research,2001

3. Retrospective gap analysis in a Swedish boreal forest landscape using historical data;Axelsson;Forest Ecology and Management,2001

4. Assessing the response of area burned to changing climate in western boreal North America using a multivariate adaptive regression splines (MARS) approach;Balshi;Global Change Biology,2008

5. Past, current and future fire frequency in the Canadian boreal forest: implications for sustainable forest management;Bergeron;AMBIO,2004

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1. A Markov-Monte Carlo Simulation Model to Support Urban Planning Decisions: A Case Study for Medellín, Colombia;Communications in Computer and Information Science;2018

2. Error propagation in stock-difference and gain–loss estimates of a forest biomass carbon balance;European Journal of Forest Research;2014-08-06

3. Inter- and intra-annual profiles of fire regimes in the managed forests of Canada and implications for resource sharing;International Journal of Wildland Fire;2012

4. Uncertainty of 21st century growing stocks and GHG balance of forests in British Columbia, Canada resulting from potential climate change impacts on ecosystem processes;Forest Ecology and Management;2011-09

5. Potentially limited detectability of short-term changes in boreal fire regimes: a simulation study;International Journal of Wildland Fire;2010