Soto Daniel P, Seidel Dominik, Hernández-Moreno Ángela, Puettmann Klaus J, Donoso Pablo J
Departamento de Ciencias Naturales y Tecnología, Universidad de Aysén, Coyhaique, Chile.
Departamento de Ecosistemas y Medio Ambiente, Facultad de Agronomía y Sistemas Naturales, Pontificia Universidad Católica de Chile, Santiago, Chile.
Sci Rep. 2024 Jun 13;14(1):13656. doi: 10.1038/s41598-024-64523-5.
Increasing forest structural complexity is becoming a common goal in forestry worldwide. However, the lack of empirical quantification clouds its implementation. Here we quantified the long-term effects (> 30 y) of partial harvest on stand structural complexity and net primary productivity using the east-west precipitation gradient (318-2508 mm, mean annual precipitation-MAP) of western Patagonian as a study system. In this gradient, pairs of 1-ha plots on 20 sites (20 plots harvested and 20 plots unharvested) were installed. In each plot terrestrial laser scanning was used to quantify the stand structural complexity index (SSCI), and Sentinel satellite images to obtain the Enhanced Vegetation Index (EVI: proxy of net primary productivity). Generalized linear mixed-effect models were used to relate SSCI to MAP and EVI to SSCI, with harvesting as indicator variable, and site as random variable (two plots nested to same precipitation). Results showed that harvested plots on mesic-to-humid sites (but not on dry sites) had higher SSCI and EVI values compared to unharvested plots, likely due to a greater vertical canopy packing. These results show the influence of precipitation on SSCI, which resulted in a more diversified stand structure and higher EVI. Such insights support site-specific management aimed to increase forest structural complexity.
增加森林结构复杂性正成为全球林业的一个共同目标。然而,缺乏实证量化使其实施变得模糊不清。在此,我们以巴塔哥尼亚西部的东西向降水梯度(年平均降水量-MAP为318 - 2508毫米)作为研究系统,量化了间伐对林分结构复杂性和净初级生产力的长期影响(> 30年)。在这个梯度范围内,在20个地点设置了成对的1公顷样地(20个样地进行了间伐,20个样地未间伐)。在每个样地中,使用地面激光扫描来量化林分结构复杂性指数(SSCI),并利用哨兵卫星图像获取增强植被指数(EVI:净初级生产力的代理指标)。使用广义线性混合效应模型将SSCI与MAP相关联,将EVI与SSCI相关联,以间伐作为指示变量,以地点作为随机变量(两个样地嵌套在相同降水量区域)。结果表明,与未间伐的样地相比,中湿至湿润地点(但干旱地点不明显)的间伐样地具有更高的SSCI和EVI值,这可能是由于垂直冠层堆积更多。这些结果显示了降水对SSCI的影响,这导致了更具多样性的林分结构和更高的EVI。这些见解支持旨在增加森林结构复杂性的因地制宜管理。