Wildfire-induced reduction in the carbon storage of Mediterranean ecosystems: An application to brush and forest fires impacts assessment |
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| Affiliation: | 1. College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China;2. Sustainable Forest Management Laboratory, Faculty of Forestry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada;3. College of Forestry, Northeast Forestry University, Harbin, 150040, China;4. College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China;1. Department of Environmental, Biological, Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, Via Vivaldi 43, 81100 Caserta, Italy;2. The Earth Institute, Tree-ring Laboratory, Lamont-Doherty Earth Observatory of Columbia University, New York 10964, United States of America;3. Department of Agricultural Sciences, University of Naples Federico II, via Università 100, 80055, Portici, Italy;1. Department of Geography, University of Defence, Belgrade, Serbia;2. Department of Logistics, University of Defence, Belgrade, Serbia;3. Military Geographical Institute, Belgrade, Serbia;4. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran |
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| Abstract: | ![]()
Wildfire is one of the most dangerous and harmful phenomena in the world. Hence, fire impacts assessment could become very important in forest areas according to its environmental and landscape values. This paper suggests an approach to identify fire effects on biomass, in consonance with the potential carbon storage of each area used, and its biomass consumption based on fire behavior.Dense mature forests were the most vulnerable landscapes based on its aboveground biomass, mainly tree stem biomass. A significant correlation was found between fire intensity and biomass consumption. Biomass consumption ranged from 16.59% to 98.75% from the two studied wildfires. It is necessary to provide a scenario analysis according to the uncertain CO2 market. As an example, carbon storage impacts in one fire were between 100,340.66 € (using the minimum price of CO2) and 741,057.44 € (using the maximum price of CO2). Differences between scenarios ranged from 35.30% to 46.51% of the total carbon storage impacts. This approach might be a solution to identify and prioritize areas for restoration activities and optimize the allocation of the resources. |
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