Exploring spatial-temporal dynamics of fire regime features in mainland Spain
Resumen: This paper explores spatialoral dynamics in fire regime features, such as fire frequency, burnt area, large fires and natural- A nd human-caused fires, as an essential part of fire regime characterization. Changes in fire features are analysed at different spatial-regional and provincial/NUTS3-levels, together with summer and winter temporal scales, using historical fire data from Spain for the period 1974-2013. Temporal shifts in fire features are investigated by means of change point detection procedures-Pettitt test, AMOC (at most one change), PELT (pruned exact linear time) and BinSeg (binary segmentation)- A t a regional level to identify changes in the time series of the features. A trend analysis was conducted using the Mann-Kendall and Sen''s slope tests at both the regional and NUTS3 level. Finally, we applied a principal component analysis (PCA) and varimax rotation to trend outputs-mainly Sen''s slope values-to summarize overall temporal behaviour and to explore potential links in the evolution of fire features.

Our results suggest that most fire features show remarkable shifts between the late 1980s and the first half of the 1990s. Mann-Kendall outputs revealed negative trends in the Mediterranean region. Results from Sen''s slope suggest high spatial and intra-annual variability across the study area. Fire activity related to human sources seems to be experiencing an overall decrease in the northwestern provinces, particularly pronounced during summer. Similarly, the Hinterland and the Mediterranean coast are gradually becoming less fire affected. Finally, PCA enabled trends to be synthesized into four main components: Winter fire frequency (PC1), summer burnt area (PC2), large fires (PC3) and natural fires (PC4).

Idioma: Inglés
DOI: 10.5194/nhess-17-1697-2017
Año: 2017
Publicado en: NATURAL HAZARDS AND EARTH SYSTEM SCIENCES 17, 10 (2017), 1697-1711
ISSN: 1561-8633

Factor impacto JCR: 2.281 (2017)
Categ. JCR: GEOSCIENCES, MULTIDISCIPLINARY rank: 80 / 189 = 0.423 (2017) - Q2 - T2
Categ. JCR: WATER RESOURCES rank: 25 / 90 = 0.278 (2017) - Q2 - T1
Categ. JCR: METEOROLOGY & ATMOSPHERIC SCIENCES rank: 34 / 85 = 0.4 (2017) - Q2 - T2

Factor impacto SCIMAGO: 0.965 - Earth and Planetary Sciences (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MEC/FPU13-06618
Tipo y forma: Article (Published version)
Área (Departamento): Área Análisis Geográfico Regi. (Dpto. Geograf. Ordenac.Territ.)
Exportado de SIDERAL (2019-07-09-11:55:01)

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 Notice créée le 2017-11-16, modifiée le 2019-07-09


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