Zobrazeno 1 - 10
of 30
pro vyhledávání: '"fire selectivity"'
Publikováno v:
Environmental Management. 56:157-164
Recent advances in fire management led landscape managers to adopt an integrated fire fighting strategy in which fire suppression is supported by prevention actions and by knowledge of local fire history and ecology. In this framework, an accurate ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e26f6a01a5f24034d7586dfe6e4e384f
https://doi.org/10.1007/s00267-015-0494-0
https://doi.org/10.1007/s00267-015-0494-0
In human-affected fire environments, assessing the influence of human activities on the spatial distribution of wildfire ignitions is of paramount importance for fire management planning. Previous studies have shown that roads have significant effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50040e3f9ee7d606b26943fdfa851e2
http://hdl.handle.net/11573/1214996
http://hdl.handle.net/11573/1214996
Publikováno v:
Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 149:166-173
Wildfires in the Mediterranean basin are very important even if their causes and dynamics are not always fully understood. Fire occurrence is driven by several factors, such as the availability of fuel and the amount of biomass. In the Mediterranean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1800f20137ed9203a57dd0789416dc7a
https://doi.org/10.1080/11263504.2014.992996
https://doi.org/10.1080/11263504.2014.992996
Autor:
André Beaudoin, Luc Guindon, Yan Boulanger, Francis Manka, Pierre-Olivier Jean, Sylvie Gauthier, Pierre Y. Bernier
Publikováno v:
Forests, Vol 7, Iss 8, p 157 (2016)
Forests; Volume 7; Issue 8; Pages: 157
Forests; Volume 7; Issue 8; Pages: 157
Fire is a dominant mechanism of forest renewal in most of Canada’s forests and its activity is predicted to increase over the coming decades. Individual fire events have been considered to be non-selective with regards to forest properties, but evi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c41970a1eb3fa0670988c4785779b14
http://www.mdpi.com/1999-4907/7/8/157
http://www.mdpi.com/1999-4907/7/8/157
Akademický článek
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Autor:
Sofia Bajocco, Carlo Ricotta
Publikováno v:
Landscape Ecology. 23:241-248
The objective of this paper is to identify land-cover types where fire incidence is higher (preferred) or lower (avoided) than expected from a random null model. Fire selectivity may be characterized by the number of fires expected in a given land-co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c373a38eb440bce091e302d64f1b5dd9
https://doi.org/10.1007/s10980-007-9176-5
https://doi.org/10.1007/s10980-007-9176-5
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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[EN] In this article we study forest fires in the Autonomous Community of Madrid into two periods, 1989-1995 and 2007-2010, to characterize and compare the fire regime. We also analyse the selectivity action of fire in relation to the land uses of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f2a6c67c14e8db151307efa164a0b1f9
http://hdl.handle.net/10261/202448
http://hdl.handle.net/10261/202448
Akademický článek
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Fuel characteristics play an important role in driving fire ignition and propagation; at the landscape scale fuel availability and flammability are closely related to vegetation phenology. In this view, the NDVI profiles obtained from high temporal r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd539be5ec3d4597bdeba9d6cf2a0a51
http://hdl.handle.net/11573/514587
http://hdl.handle.net/11573/514587
Autor:
Christophe Neff, Carlo Ricotta, Sofia Bajocco, Damiano Torriani, Marco Conedera, Gianni Boris Pezzatti
A comprehensive assessment of fire ignition danger is nowadays a basic step towards the prioritization of fire management measures. In this study we propose performing a fire selectivity analysis using Monte Carlo simulations to statistically estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ea6b20fdbf5396b2e7d5c28657c7e03
http://hdl.handle.net/11573/354534
http://hdl.handle.net/11573/354534