Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback

Bibliographic Details
Published in:Environmental Science & Policy
Main Authors: Webster, K.L., McLaughlin, J.W.
Other Authors: Natural Resources Canada–Canadian Forest Service A-base, Ontario Ministry of Natural Resources’ Applied Research and Development Branch Climate Change Office and Far North Branch
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2014
Subjects:
Management, Monitoring, Policy and Law
Geography, Planning and Development
permafrost
Online Access:http://dx.doi.org/10.1016/j.envsci.2013.10.008
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spelling crelsevierbv:10.1016/j.envsci.2013.10.008 2023-05-15T17:56:53+02:00 Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback Webster, K.L. McLaughlin, J.W. Natural Resources Canada–Canadian Forest Service A-base Ontario Ministry of Natural Resources’ Applied Research and Development Branch Climate Change Office and Far North Branch 2014 http://dx.doi.org/10.1016/j.envsci.2013.10.008 https://api.elsevier.com/content/article/PII:S1462901113002165?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1462901113002165?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Environmental Science & Policy volume 38, page 28-44 ISSN 1462-9011 Management, Monitoring, Policy and Law Geography, Planning and Development journal-article 2014 crelsevierbv https://doi.org/10.1016/j.envsci.2013.10.008 2022-11-30T16:10:17Z Article in Journal/Newspaper permafrost ScienceDirect (Elsevier - via Crossref) Environmental Science & Policy 38 28 44
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Management, Monitoring, Policy and Law
Geography, Planning and Development
spellingShingle Management, Monitoring, Policy and Law
Geography, Planning and Development
Webster, K.L.
McLaughlin, J.W.
Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
topic_facet Management, Monitoring, Policy and Law
Geography, Planning and Development
author2 Natural Resources Canada–Canadian Forest Service A-base
Ontario Ministry of Natural Resources’ Applied Research and Development Branch Climate Change Office and Far North Branch
format Article in Journal/Newspaper
author Webster, K.L.
McLaughlin, J.W.
author_facet Webster, K.L.
McLaughlin, J.W.
author_sort Webster, K.L.
title Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
title_short Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
title_full Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
title_fullStr Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
title_full_unstemmed Application of a Bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
title_sort application of a bayesian belief network for assessing the vulnerability of permafrost to thaw and implications for greenhouse gas production and climate feedback
publisher Elsevier BV
publishDate 2014
url http://dx.doi.org/10.1016/j.envsci.2013.10.008
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genre permafrost
genre_facet permafrost
op_source Environmental Science & Policy
volume 38, page 28-44
ISSN 1462-9011
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
op_doi https://doi.org/10.1016/j.envsci.2013.10.008
container_title Environmental Science & Policy
container_volume 38
container_start_page 28
op_container_end_page 44
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