<p>Predicting ecosystem reactions to global environmental changes requires understanding how plants adapt to their surroundings. Functional traits of plants are important indicators of their ecological strategies, adaptations, and interactions with the environment. Understanding the relationship between functional traits and environmental factors is essential for predicting the response of species to environmental changes and gaining insights into long-term ecosystem functions and dynamics. This research aimed to identify key environmental variables influencing functional traits such as specific leaf area (SLA), leaf dry matter content (LDMC), leaf thickness (LT), bark thickness (BT), leaf venation (LV), tree height and wood density (WD) in the Rema Kalenga Wildlife Sanctuary (RKWS), a tropical forest of Bangladesh. Using a random sampling approach, a total of 60 (20&#xa0;m × 20&#xa0;m) square sample plots were selected for data collection (soil properties, elevation, canopy features, stem density, disturbance, and trait samples). The relative importance (RI) of each factor was computed to ascertain the key drivers of each trait. A generalized additive model (GAM) was used to investigate how different environmental gradients affect functional traits. The results showed that multiple factors influenced the functional traits with the density of all stems (DAS) (RIs were 0.95, 1.0, 0.73, 0.74, 0.97, 0.96, and 1.0 for SLA, LDMC, LT, BT, LV, height, and WD, respectively) and elevation (RIs were 0.97, 0.71, 0.76, 0.87, 0.47, 0.83, and 0.58 for SLA, LDMC, LT, BT, LV, height, and WD, respectively) emerging as the key factors for most functional traits. Moreover, this study provides a comprehensive complex relationship of how environmental variables including elevation, canopy characteristics, soil properties, and disturbance influence plant functional traits including plant’s adaptive strategies and ecological dynamics. It provides insights into the functional trait diversity of tropical forest ecosystems, enhancing our understanding of plant trait variation along environmental gradients. These findings can inform targeted conservation strategies, such as identifying key species for reforestation, optimizing forest management practices, and predicting vegetation responses to climate change and land-use pressures.</p>

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Environmental drivers shaping plant functional trait diversity in tropical forests of Bangladesh

  • Sohag Ahammed,
  • Fahmida Nizam,
  • Md. Saifuzzaman Bhuiyan,
  • Md. Sahinur Islam Fahim,
  • Md. Main Uddin Miah,
  • Wahidur Rahman,
  • Mohammed A. S. Arfin-Khan

摘要

Predicting ecosystem reactions to global environmental changes requires understanding how plants adapt to their surroundings. Functional traits of plants are important indicators of their ecological strategies, adaptations, and interactions with the environment. Understanding the relationship between functional traits and environmental factors is essential for predicting the response of species to environmental changes and gaining insights into long-term ecosystem functions and dynamics. This research aimed to identify key environmental variables influencing functional traits such as specific leaf area (SLA), leaf dry matter content (LDMC), leaf thickness (LT), bark thickness (BT), leaf venation (LV), tree height and wood density (WD) in the Rema Kalenga Wildlife Sanctuary (RKWS), a tropical forest of Bangladesh. Using a random sampling approach, a total of 60 (20 m × 20 m) square sample plots were selected for data collection (soil properties, elevation, canopy features, stem density, disturbance, and trait samples). The relative importance (RI) of each factor was computed to ascertain the key drivers of each trait. A generalized additive model (GAM) was used to investigate how different environmental gradients affect functional traits. The results showed that multiple factors influenced the functional traits with the density of all stems (DAS) (RIs were 0.95, 1.0, 0.73, 0.74, 0.97, 0.96, and 1.0 for SLA, LDMC, LT, BT, LV, height, and WD, respectively) and elevation (RIs were 0.97, 0.71, 0.76, 0.87, 0.47, 0.83, and 0.58 for SLA, LDMC, LT, BT, LV, height, and WD, respectively) emerging as the key factors for most functional traits. Moreover, this study provides a comprehensive complex relationship of how environmental variables including elevation, canopy characteristics, soil properties, and disturbance influence plant functional traits including plant’s adaptive strategies and ecological dynamics. It provides insights into the functional trait diversity of tropical forest ecosystems, enhancing our understanding of plant trait variation along environmental gradients. These findings can inform targeted conservation strategies, such as identifying key species for reforestation, optimizing forest management practices, and predicting vegetation responses to climate change and land-use pressures.