Ma Qin, Su Yanjun, Hu Tianyu, Jiang Lin, Mi Xiangcheng, Lin Luxiang, Cao Min, Wang Xugao, Lin Fei, Wang Bojian, Sun Zhenhua, Wu Jin, Ma Keping, Guo Qinghua
State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
China National Botanical Garden, Beijing 100093, China.
Fundam Res. 2022 Oct 22;4(5):1185-1195. doi: 10.1016/j.fmre.2022.10.005. eCollection 2024 Sep.
Forest structural complexity can mediate the light and water distribution within forest canopies, and has a direct impact on forest biodiversity and carbon storage capability. It is believed that increases in forest structural complexity can enhance tree species diversity and forest productivity, but inconsistent relationships among them have been reported. Here, we quantified forest structural complexity in three aspects (i.e., horizontal, vertical, and internal structural complexity) from unmanned aerial vehicle light detection and ranging data, and investigated their correlations with tree species diversity and forest productivity by incorporating field measurements in three forest biomes with large latitude gradients in China. Our results show that internal structural complexity had a stronger correlation (correlation coefficient = 0.85) with tree species richness than horizontal structural complexity (correlation coefficient = -0.16) and vertical structural complexity (correlation coefficient = 0.61), and it was the only forest structural complexity attribute having significant correlations with both tree species richness and tree species evenness. A strong scale effect was observed in the correlations among forest structural complexity, tree species diversity, and forest productivity. Moreover, forest internal structural complexity had a tight positive coordinated contribution with tree species diversity to forest productivity through structure equation model analysis, while horizontal and vertical structural complexity attributes have insignificant or weaker coordinated effects than internal structural complexity, which indicated that the neglect of forest internal structural complexity might partially lead to the current inconsistent observations among forest structural complexity, tree species diversity, and forest productivity. The results of this study can provide a new angle to understand the observed inconsistent correlations among forest structural complexity, tree species diversity, and forest productivity.
森林结构复杂性能够调节森林冠层内的光照和水分分布,并对森林生物多样性和碳储存能力产生直接影响。人们认为森林结构复杂性的增加能够提高树种多样性和森林生产力,但已有报道称它们之间的关系并不一致。在此,我们根据无人机激光雷达数据从三个方面(即水平、垂直和内部结构复杂性)对森林结构复杂性进行了量化,并通过纳入中国三个具有较大纬度梯度的森林生物群落的实地测量数据,研究了它们与树种多样性和森林生产力的相关性。我们的结果表明,内部结构复杂性与树种丰富度的相关性更强(相关系数 = 0.85),高于水平结构复杂性(相关系数 = -0.16)和垂直结构复杂性(相关系数 = 0.61),并且它是唯一与树种丰富度和树种均匀度均具有显著相关性的森林结构复杂性属性。在森林结构复杂性、树种多样性和森林生产力之间的相关性中观察到了强烈的尺度效应。此外,通过结构方程模型分析,森林内部结构复杂性与树种多样性对森林生产力具有紧密的正向协同贡献,而水平和垂直结构复杂性属性的协同效应不显著或比内部结构复杂性弱,这表明忽视森林内部结构复杂性可能部分导致了目前在森林结构复杂性、树种多样性和森林生产力之间观察到的不一致现象。本研究结果可为理解森林结构复杂性、树种多样性和森林生产力之间观察到的不一致相关性提供一个新的视角。