Yu Kailiang, Chen Han Y H, Gessler Arthur, Pugh Thomas A M, Searle Eric B, Allen Robert B, Pretzsch Hans, Ciais Philippe, Phillips Oliver L, Brienen Roel J W, Chu Chengjin, Xie Shubin, Ballantyne Ashley P
High Meadows Environmental Institute, Princeton University, Princeton, NJ 08544, USA.
Department of Ecosystem and Conservation Sciences, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59801, USA.
PNAS Nexus. 2024 Feb 17;3(2):pgae008. doi: 10.1093/pnasnexus/pgae008. eCollection 2024 Feb.
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 ( = 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.
将森林发育过程中的个体与林分水平动态联系起来,揭示了林分中平均树木大小与树木密度之间的标度关系,该关系整合了森林结构和功能。然而,这种所谓标度律的本质及其在广泛空间尺度上的变化仍未得到量化,其与森林种群统计学过程和碳动态的联系也仍不明确。在本研究中,我们构建了一个理论框架,并汇编了一个来自基本未受干扰森林的长期样本林分((n = 1433))的大尺度数据集,以研究时间平均树木大小与密度标度轨迹(斜率)与生物量积累速率的关联,以及标度斜率对环境和种群统计学驱动因素的敏感性。结果通过实证表明,在热带、温带和寒带森林生物群落的林分中,标度斜率变化很大,范围从(-4)到(-0.2)。更陡的标度斜率与更高的生物量积累速率相关,这是由于死亡率导致的生物量损失对森林生长的抵消作用较低。在北美,标度斜率与林分年龄和降雨季节性呈正相关,因此表明在降雨季节性较低的年轻森林中生物量积累速率较高。这些结果证明了瞬时平均树木大小与密度标度轨迹与森林种群统计学和生物量积累速率之间的紧密关联,并因此突出了利用森林结构属性来预测广泛空间尺度上森林种群统计学、碳通量和动态的潜力。