Prescribed burning impact on forest soil properties--a Fuzzy Boolean Nets approach

Area of Science:

• Forestry and Soil Science
• Environmental Science
• Ecology

Background:

• Northern Portuguese forests face severe summer wildfires, impacting ecosystems.
• Preventive measures like prescribed burning and vegetation pruning are used to control fuel mass.
• Understanding the ecological impact of these interventions is crucial for sustainable forest management.

Purpose of the Study:

• To assess the impact of prescribed burning on key forest soil properties.
• To monitor the soil's self-recovery capabilities over a one-year period post-burning.
• To utilize Fuzzy Boolean Nets (FBN) for qualitative knowledge extraction due to limited quantitative data.

Main Methods:

• Field experiments conducted on Andaluzitic schist soil in Gramelas, Portugal.
• Soil samples collected from five plots across three layers (0-3, 3-6, 6-18 cm) before and after prescribed burning.
• Analysis of soil properties including pH, moisture, organic matter, and iron content.
• Application of Fuzzy Boolean Nets (FBN) and fuzzy reasoning for data interpretation.

Main Results:

• Prescribed burning significantly affected soil properties, including pH, soil moisture, organic matter, and iron content.
• The monitored soil properties did not recover to their initial baseline values within the one-year observation period.
• Fuzzy Boolean Nets provided a viable approach for knowledge extraction from scarce quantitative data.

Conclusions:

• Prescribed burning practices have a discernible and lasting negative impact on forest soil characteristics.
• The soil's natural recovery capacity was insufficient to restore pre-burn conditions within one year.
• Further research and refined management strategies are needed to mitigate the long-term effects of prescribed burning on forest soils.