Tree Risk Assessment in the College of Forestry and Natural Resources, University of the Philippines Los Baños, Laguna

Authors

DOI:

https://doi.org/10.64807/2j4whz46

Abstract

Trees are essential components of campus landscapes, providing ecological, aesthetic, and microclimatic benefits; however, when located near infrastructure and areas of high human activity, trees pose potential risks when structural defects are present. This study assessed tree-related risks within 10 meters of the academic buildings at the College of Forestry and Natural Resources, University of the Philippines, Los Baños. The study determined the species composition and structural characteristics of trees, evaluated their risk levels using the International Society of Arboriculture (ISA) Basic Tree Risk Assessment framework supported by sonic tree tomography, and mapped the spatial distribution of tree risks to guide mitigation strategies. A total of 116 trees representing 23 families were inventoried and assessed. The families Meliaceae, Fabaceae, and Moraceae were the most dominant across the study area. Diversity analysis indicated relatively high species diversity (H’ = 3.741) but moderate evenness, indicating the dominance of several species within the landscape. There were 66 trees classified as moderate risk, 27 as low risk, 22 as high risk, and one as extreme risk, with common defects included codominant stems, weak branch attachments, broken branches, hanging limbs, trunk decay, leaning stems, root plate lifting, and root cavities. Statistical analysis revealed weak but significant positive correlations between tree risk level and structural variables, including DBH (rs = 0.270, p = 0.003), TH (rs = 0.212, p = 0.022), and crown spread (rs = 0.264, p = 0.004). Sonic tree tomography of ten selected high-risk trees revealed varying levels of internal decay. Spatial mapping identified clusters of moderate to extreme-risk trees near areas of frequent human activity. Targeted mitigation strategies were proposed, ranging from routine monitoring to immediate interventions, such as tree removal, to enhance campus safety and support sustainable tree management.

Keywords:

tree failure, sonic tree tomography, mitigation, decay, defects

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Published

2026-06-30

How to Cite

Cortes, R. A. (2026). Tree Risk Assessment in the College of Forestry and Natural Resources, University of the Philippines Los Baños, Laguna. QCU The Star, 4(1), 20-54. https://doi.org/10.64807/2j4whz46