Faculty of Forestry, 2424 Main Mall, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Canadian Forest Service (Pacific Forestry Center), Natural Resources Canada, 506 West Burnside Road, Victoria, BC, V8Z 1M5, Canada.
Sci Rep. 2020 Apr 8;10(1):6069. doi: 10.1038/s41598-020-62878-z.
Analyses characterizing canopy gaps are required to improve our understanding of spatial and structural variations in forest canopies and provide insight into ecosystem-level successional processes. Gap size frequency distributions (GSFD) are indicative of ecological processes and disturbance patterns. To date, GSFD in boreal forest ecosystems have not been systematically quantified over large areas using a single consistent data source. Herein we characterized GSFDs across the entirety of the Canadian boreal forest using transects of airborne laser scanning (ALS) data. ALS transects were representatively sampled within eight distinct Canadian boreal ecozones. Gaps were detected and delineated from the ALS-derived canopy height model as contiguous canopy openings ≥8 m with canopy heights ≤3 m. Gaps were then stratified by ecozone and forest type (i.e. coniferous, broadleaf, mixedwood, wetland-treed), and combinations thereof, and GSFDs were calculated for each stratum. GSFDs were characterized by the scaling parameter of the power-law probability distribution, lambda (λ) and Kolmogorov-Smirnov tests confirmed that GSFDs for each stratum followed a power-law distribution. Pairwise comparisons between ecozones, forest types, and combinations thereof indicated significant differences between estimates of λ. Scaling parameters were found to be more variable by ecozone (1.96-2.31) than by forest type (2.15-2.21). These results contrast those of similar studies done in tropical forest environments, whereby λ was found to be relatively consistent across a range of site types, geological substrates, and forest types. The geographic range considered herein is much larger than that of previous studies, and broad-scale patterns in climate, landforms, and soils that are reflected in the definition of unique ecozones, likely also influence gap characteristics.
需要对林冠空隙进行特征分析,以提高我们对森林林冠空间和结构变化的理解,并深入了解生态系统水平的演替过程。空隙大小频率分布(GSFD)是生态过程和干扰模式的指示。迄今为止,还没有使用单一一致的数据源系统地量化北方森林生态系统中大面积的 GSFD。本文使用机载激光扫描(ALS)数据的测线来描述整个加拿大北方森林的 GSFD。ALS 测线在 8 个不同的加拿大北方生态区中进行了有代表性的采样。从 ALS 衍生的冠层高度模型中检测并划定空隙,作为连续冠层开口≥8m 且冠层高度≤3m 的区域。然后根据生态区和森林类型(针叶林、阔叶林、混交林、湿地-树木)对空隙进行分层,并对它们进行组合,然后为每个地层计算 GSFD。GSFD 的特征是幂律概率分布的标度参数λ(λ),柯尔莫哥洛夫-斯米尔诺夫检验证实了每个地层的 GSFD 遵循幂律分布。对生态区、森林类型以及它们的组合进行成对比较表明,λ的估计值之间存在显著差异。发现生态区(1.96-2.31)的标度参数比森林类型(2.15-2.21)更具变异性。这些结果与在热带森林环境中进行的类似研究结果形成对比,在热带森林环境中,λ在一系列场地类型、地质基底和森林类型中相对一致。本文所考虑的地理范围比以前的研究大得多,反映在独特生态区定义中的气候、地貌和土壤的广泛模式可能也会影响空隙特征。