Disentangling Habitat-specific Pathways of Forest Biomass Loss: A Structural Equation Modeling Approach Across Temperate and Subtropical Forests

Authors

  • Abd Ullah Department of Forestry, Shaheed Benazir Bhutto University, Sheringal Dir (Upper), 18050, Khyber Pakhtunkhwa, Pakistan
  • Alam Zeb Department of Forestry, Shaheed Benazir Bhutto University, Sheringal, Dir (Upper), 18050, Khyber Pakhtunkhwa, Pakistan; Department of Renewable Resources, University of Alberta, 751 General Services Building, Edmonton, AB, T6G 2H1, Canada
  • Rashid Ahmed Department of Forestry, Shaheed Benazir Bhutto University, Sheringal Dir (Upper), 18050, Khyber Pakhtunkhwa, Pakistan
  • Khalid Khan Department of Forestry, Shaheed Benazir Bhutto University, Sheringal Dir (Upper), 18050, Khyber Pakhtunkhwa, Pakistan
  • Saad Ahmad Department of Forestry, Shaheed Benazir Bhutto University, Sheringal Dir (Upper), 18050, Khyber Pakhtunkhwa, Pakistan
  • Iqra Hayat Department of Physics, Government Degree College Gulabad, Dir Lower, Khyber Pakhtunkhwa, Pakistan
  • Khadija Hayat Department of Environmental Sciences, Government Degree College Gulabad, Dir Lower, Khyber Pakhtunkhwa, Pakistan
  • Huda M. Alshanbari Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia
  • Nawal Al-Hoshani Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia
  • Ghulam Nabi School of Food and Biological Engineering, Jiangsu University, Zheniang 212013, China

Keywords:

Above-ground biomass, Structural equation modeling, Degradation pathways, Nitrogen cycling, Elevation effects, Habitat specificity, Conservation prioritization

Abstract

This study examined how elevation, habitat diversity, and soil nitrogen interact to influence forest biomass across ecological zones. A field survey was conducted using 300 plots, systematically allocated across three habitat types with equal representation. The relationships were measured using bivariate analysis, correlation study, and structural equation modeling (SEM). The habitat-unified model revealed that elevation had a statistically significant direct effect on biomass (β = 0.71, p < 0.001), as well as indirect effects through species richness (β = 0.37, p < 0.001) and soil nitrogen (β = 0.15, p < 0.05). Moist forest habitats were shown to increase soil nitrogen content  (β = 0.37, p < 0.001) and species richness (β = 0.28, p < 0.001) significantly. Habitat-specific models revealed that the strength and direction of these relationships varied between forest types. Degradation had a strong negative effect on biomass in subtropical ecosystems (β = 0.34, p < 0.0001) and in moist temperate forests (β = 0.61, p < 0.0001). Degradation reduced biomass in subtropical and moist temperate forests but had no significant effect in dry temperate forests. However, it strongly decreased soil nitrogen and, together with elevation, constrained biomass.

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Published

2026-07-14

How to Cite

Ullah, A., Zeb, A., Ahmed, R., Khan, K., Ahmad, S., Hayat, I., … Nabi, G. (2026). Disentangling Habitat-specific Pathways of Forest Biomass Loss: A Structural Equation Modeling Approach Across Temperate and Subtropical Forests. BioResources, 21(3), 8176–8199. Retrieved from https://ojs.bioresources.com/index.php/BRJ/article/view/25591

Issue

Section

Research Article or Brief Communication