Wildfires and the role of their drivers are changing over time in a large rural area of west-central Spain.

作者: O. Viedma , I. R. Urbieta , J. M. Moreno

DOI: 10.1038/S41598-018-36134-4

关键词:

摘要: During the last decades, wildfires have been changing in many areas across world, due to changes climate, landscapes and socioeconomic drivers. However, how role of these drivers changed over time has little explored. Here, we assessed, a spatially temporally explicit way, biophysical human-related factors on rural area west-central Spain from 1979 2008. Longitudinal Negative Binomial (NB) Zero-Inflated (ZINB) mixed models, with as interacting factor (continuous categorical), were used model number fires increasing size (≥1–10 ha, >10–100 ha, >100 ha) per 10 × 10 km cell per year, based fire statistics. We found that landscape was rather dynamic, generally became more hazardous time. Small increased spread time, medium large being stable or decreasing. NB models best for modelling small fires, while ZINB large; including categorical performed best. Best associated topography, land-use/land cover (LULC) types they underwent, well agrarian characteristics. Climate variables, forest interfaces, other variables played minor role. Wildfires initially frequent rugged conifer forests, shrublands and cells undergoing LULC nature, all sizes. As went by, lost links initial fire-prone areas, spread, lower elevation higher solar radiation, herbaceous crops, size farms. Thus, time; some decreased their explaining power, others increased. These total spatial pattern controlling limit ability predict future fires.

参考文章(65)
Andrea Camia, Jesús San Miguel, Francisco Moreira, Sandra Oliveira, Marcos Rodrigues, An Insight into Spatial-Temporal Trends of Fire Ignitions and Burned Areas in the European Mediterranean Countries ,(2013)
Kamil Feridun Turkman, Maria Antónia Amaral Turkman, José M.C. Pereira, Ana Sá, Paula Pereira, Quantification of annual wildfire risk; A spatio-temporal point process approach. Statistica. ,vol. 73, pp. 55- 68 ,(2013) , 10.6092/ISSN.1973-2201/3985
LUCA SALVATI, FLAVIA RANALLI, ‘Land of Fires’: Urban Growth, Economic Crisis, and Forest Fires in Attica, Greece Geographical Research. ,vol. 53, pp. 68- 80 ,(2015) , 10.1111/1745-5871.12093
Quang H. Vuong, Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses Econometrica. ,vol. 57, pp. 307- 333 ,(1989) , 10.2307/1912557
Achim Zeileis, Christian Kleiber, Simon Jackman, Regression Models for Count Data in R Journal of Statistical Software. ,vol. 27, pp. 1- 25 ,(2008) , 10.18637/JSS.V027.I08
Marcos Rodrigues, Juan de la Riva, An insight into machine-learning algorithms to model human-caused wildfire occurrence Environmental Modelling and Software. ,vol. 57, pp. 192- 201 ,(2014) , 10.1016/J.ENVSOFT.2014.03.003
Marc-Andre Parisien, Sean A Parks, Meg A Krawchuk, John M Little, Mike D Flannigan, Lynn M Gowman, Max A Moritz, None, An analysis of controls on fire activity in boreal Canada: comparing models built with different temporal resolutions Ecological Applications. ,vol. 24, pp. 1341- 1356 ,(2014) , 10.1890/13-1477.1
Thomas Zumbrunnen, Patricia Menéndez, Harald Bugmann, Marco Conedera, Urs Gimmi, Matthias Bürgi, Human impacts on fire occurrence: a case study of hundred years of forest fires in a dry alpine valley in Switzerland Regional Environmental Change. ,vol. 12, pp. 935- 949 ,(2012) , 10.1007/S10113-012-0307-4
M.L. Chas-Amil, J.P. Prestemon, C.J. McClean, J. Touza, Human-ignited wildfire patterns and responses to policy shifts Applied Geography. ,vol. 56, pp. 164- 176 ,(2015) , 10.1016/J.APGEOG.2014.11.025