Electrical Responses of Pinus halepensis Mill. as an Indicator of Wildfire Risk in Mediterranean Forests by Complementing Live Fuel Moisture

• Published in: Forests Vol. 13; no. 8; p. 1189
• Main Authors: Zapata, Rodolfo, Oliver-Villanueva, Jose-Vicente, Lemus-Zúñiga, Lenin-Guillermo, Mateo Pla, Miguel A., Luzuriaga, Jorge E.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2022
• Subjects: Branches; Circuits; Climatic conditions; Drought; Electric potential; Environmental risk; Forest ecosystems; Forest management; Fuels; High temperature; Humidity; Hydraulics; live fuel moisture; Moisture content; Moisture effects; Oscillations; phenological state; Physiology; Pine trees; Pinus halepensis; plant electrophysiology; Rain; Remote sensing; Risk analysis; Risk factors; Risk management; Seasonal variations; Short circuit currents; Short-circuit current; Topography; Trees; Variables; Vegetation; Voltage; Water content; Water stress; wildfire risk; Wildfires
• ISSN: 1999-4907; 1999-4907
• DOI: 10.3390/f13081189

Pinus halepensis forests, as Mediterranean-type ecosystems, are subject to high levels of wildfire risk in times of drought, with meteorological conditions of water stress and very high temperatures, mainly in summer. Considering the difficulty of knowing the phenological state of this species, the objective of this research was to evaluate the possibility of implementing the electrical responses (voltage and short-circuit current) as a variable in fire risk management models, compared to live fuel moisture. On the one hand, the obtained results demonstrate non-significant differences between the moisture content of the different fractions of the living branches (base and half of the branch and live fuel), even in times of drought with hydric stress and very high temperatures. Live fuel moisture of Pinus halepensis does not show significant seasonal variations under the influence of extreme fire risk factors. For this reason, it should be complemented with other variables for fire risk management models. On the other hand, the differences registered in the electrical signal show oscillations with significant variations, which are strongly correlated with the periods of extremely favourable meteorological conditions for wildfires. So, the voltages measured show ranges that correspond with great accuracy to the FWI. Voltage variation is dependent on the hydraulic dynamic plant behaviour and a result of the physiological response of pine trees to abiotic stress of drought. It is an easy-to-measure electrical parameter as well as a very reliable indicator with a high correlation with wildfire risk. Thus, electrical responses could add more knowledge about the phenological state of the trees in dependence on stress climatic conditions, allowing integration of these variables in the preventive wildfire modelling and management.