학술논문

Forest demography and biomass accumulation rates are associated with transient mean tree size vs. density scaling relations
Document Type
Source
PNAS Nexus MERGE: ModElling the Regional and Global Earth system BECC: Biodiversity and Ecosystem services in a Changing Climate. 3(2)
Subject
biomass accumulation rates
forest demography
forest structure and function
mean tree size vs. density scaling trajectory
Lantbruksvetenskap och veterinärmedicin
Lantbruksvetenskap
skogsbruk och fiske
Skogsvetenskap
Agricultural Sciences
Agricultural Science
Forestry and Fisheries
Forest Science
Language
English
ISSN
2752-6542
Abstract
Linking individual and stand-level dynamics during forest development reveals a scaling relationship between mean tree size and tree density in forest stands, which integrates forest structure and function. However, the nature of this so-called scaling law and its variation across broad spatial scales remain unquantified, and its linkage with forest demographic processes and carbon dynamics remains elusive. In this study, we develop a theoretical framework and compile a broad-scale dataset of long-term sample forest stands (n = 1,433) from largely undisturbed forests to examine the association of temporal mean tree size vs. density scaling trajectories (slopes) with biomass accumulation rates and the sensitivity of scaling slopes to environmental and demographic drivers. The results empirically demonstrate a large variation of scaling slopes, ranging from −4 to −0.2, across forest stands in tropical, temperate, and boreal forest biomes. Steeper scaling slopes are associated with higher rates of biomass accumulation, resulting from a lower offset of forest growth by biomass loss from mortality. In North America, scaling slopes are positively correlated with forest stand age and rainfall seasonality, thus suggesting a higher rate of biomass accumulation in younger forests with lower rainfall seasonality. These results demonstrate the strong association of the transient mean tree size vs. density scaling trajectories with forest demography and biomass accumulation rates, thus highlighting the potential of leveraging forest structure properties to predict forest demography, carbon fluxes, and dynamics at broad spatial scales.