Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon
Generalized linear mixed models (GLMM) were used to study the effect of vegetation cover, elevation, slope, and precipitation on the probability of ignition in the Blue Mountains, Oregon, and to estimate the probability of ignition occurrence at different locations in space and in time. Data on star...
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crcansciencepubl:10.1139/x01-089 2024-04-28T08:40:54+00:00 Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon Díaz-Avalos, Carlos Peterson, David L Alvarado, Ernesto Ferguson, Sue A Besag, Julian E 2001 http://dx.doi.org/10.1139/x01-089 http://www.nrcresearchpress.com/doi/pdf/10.1139/x01-089 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Forest Research volume 31, issue 9, page 1579-1593 ISSN 0045-5067 1208-6037 Ecology Forestry Global and Planetary Change journal-article 2001 crcansciencepubl https://doi.org/10.1139/x01-089 2024-04-09T06:56:30Z Generalized linear mixed models (GLMM) were used to study the effect of vegetation cover, elevation, slope, and precipitation on the probability of ignition in the Blue Mountains, Oregon, and to estimate the probability of ignition occurrence at different locations in space and in time. Data on starting location of lightning-caused ignitions in the Blue Mountains between April 1986 and September 1993 constituted the base for the analysis. The study area was divided into a pixeltime array. For each pixeltime location we associated a value of 1 if at least one ignition occurred and 0 otherwise. Covariate information for each pixel was obtained using a geographic information system. The GLMMs were fitted in a Bayesian framework. Higher ignition probabilities were associated with the following cover types: subalpine herbaceous, alpine tundra, lodgepole pine (Pinus contorta Dougl. ex Loud.), whitebark pine (Pinus albicaulis Engelm.), Engelmann spruce (Picea engelmannii Parry ex Engelm.), subalpine fir (Abies lasiocarpa (Hook.) Nutt.), and grand fir (Abies grandis (Dougl.) Lindl.). Within each vegetation type, higher ignition probabilities occurred at lower elevations. Additionally, ignition probabilities are lower in the northern and southern extremes of the Blue Mountains. The GLMM procedure used here is suitable for analysing ignition occurrence in other forested regions where probabilities of ignition are highly variable because of a spatially complex biophysical environment. Article in Journal/Newspaper Tundra Canadian Science Publishing Canadian Journal of Forest Research 31 9 1579 1593 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
topic |
Ecology Forestry Global and Planetary Change |
spellingShingle |
Ecology Forestry Global and Planetary Change Díaz-Avalos, Carlos Peterson, David L Alvarado, Ernesto Ferguson, Sue A Besag, Julian E Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon |
topic_facet |
Ecology Forestry Global and Planetary Change |
description |
Generalized linear mixed models (GLMM) were used to study the effect of vegetation cover, elevation, slope, and precipitation on the probability of ignition in the Blue Mountains, Oregon, and to estimate the probability of ignition occurrence at different locations in space and in time. Data on starting location of lightning-caused ignitions in the Blue Mountains between April 1986 and September 1993 constituted the base for the analysis. The study area was divided into a pixeltime array. For each pixeltime location we associated a value of 1 if at least one ignition occurred and 0 otherwise. Covariate information for each pixel was obtained using a geographic information system. The GLMMs were fitted in a Bayesian framework. Higher ignition probabilities were associated with the following cover types: subalpine herbaceous, alpine tundra, lodgepole pine (Pinus contorta Dougl. ex Loud.), whitebark pine (Pinus albicaulis Engelm.), Engelmann spruce (Picea engelmannii Parry ex Engelm.), subalpine fir (Abies lasiocarpa (Hook.) Nutt.), and grand fir (Abies grandis (Dougl.) Lindl.). Within each vegetation type, higher ignition probabilities occurred at lower elevations. Additionally, ignition probabilities are lower in the northern and southern extremes of the Blue Mountains. The GLMM procedure used here is suitable for analysing ignition occurrence in other forested regions where probabilities of ignition are highly variable because of a spatially complex biophysical environment. |
format |
Article in Journal/Newspaper |
author |
Díaz-Avalos, Carlos Peterson, David L Alvarado, Ernesto Ferguson, Sue A Besag, Julian E |
author_facet |
Díaz-Avalos, Carlos Peterson, David L Alvarado, Ernesto Ferguson, Sue A Besag, Julian E |
author_sort |
Díaz-Avalos, Carlos |
title |
Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon |
title_short |
Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon |
title_full |
Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon |
title_fullStr |
Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon |
title_full_unstemmed |
Spacetime modelling of lightning-caused ignitions in the Blue Mountains, Oregon |
title_sort |
spacetime modelling of lightning-caused ignitions in the blue mountains, oregon |
publisher |
Canadian Science Publishing |
publishDate |
2001 |
url |
http://dx.doi.org/10.1139/x01-089 http://www.nrcresearchpress.com/doi/pdf/10.1139/x01-089 |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Canadian Journal of Forest Research volume 31, issue 9, page 1579-1593 ISSN 0045-5067 1208-6037 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/x01-089 |
container_title |
Canadian Journal of Forest Research |
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31 |
container_issue |
9 |
container_start_page |
1579 |
op_container_end_page |
1593 |
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1797571379226214400 |