Precipitation variability in tropical forests most strongly affecting trees with low wood density
Abstract:
Using CHIRPS data, we calculate the Standardized Precipitation Index (SPI), and model the effects of varying SPI on tree growth, while controlling for potential differences in growth between different stem diameter and wood density classes. We find that annual growth increases with declining wood density (p < .01), increasing diameter (p < .01), and increasing SPI (p < .01). We also find statistically significant interaction effects (p < .01) between SPI and wood density: the relationship between SPI and growth is strongest for lower wood densities. This suggests that trees with lower wood density are more sensitive to drought. Interaction effects between diameter class and SPI are not significant. Given the greater sensitivity of fast growing low-density trees to drought, reduced growth of these trees is likely to affect carbon uptake during drought periods disproportionately.
