School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, 255000, People's Republic of China.
Mountain Tai Forest Ecosystem Research Station of State Forestry Administration/Key Laboratory of State Forestry Administration for Silviculture of the Lower Yellow River, Tai'an, 271018, People's Republic of China.
Sci Rep. 2024 May 13;14(1):10948. doi: 10.1038/s41598-024-61853-2.
While the forests on Mount Taishan are predominantly man-made, there is a notable vertical variation in vegetation. This study employs the method of cloud model, quantifying uncertainty (fuzziness and randomness) of things. Utilizing digital elevation model (DEM) and vegetation distribution data, we constructed elevation cloud models for Mount Taishan's deciduous broad-leaved, temperate coniferous, and mixed coniferous-broadleaved forests. Using three numerical features of the cloud model-Expectation (EX), Entropy (EN), and Hyper-entropy (HE)-we quantitatively analyzed the macro regularity and local heterogeneity of Mount Taishan's forests vertical distribution from the perspective of uncertainty theory. The results indicate: (1) The EX of the core zone elevation of deciduous broad-leaved forest is 716.65 m, temperate coniferous forest is 1053.51 m, and mixed coniferous-broadleaved forest is 1384.09 m. The variation range of the core zone distribution height is smaller in the mixed coniferous-broadleaved forest (EN: 53.74 m) compared to deciduous broad-leaved forest (EN: 99.63 m) and temperate coniferous forest (EN: 121.70 m). (2) The fuzziness and randomness of the distribution height of the lower extension zones of deciduous broad-leaved forest and temperate coniferous forest (EN: 75.15 m, 184.56 m; HE: 24.09 m, 63.54 m) are greater than those of the upper extension zones (EN: 44.75 m, 42.49 m; HE: 14.48 m, 13.23 m). (3) The distribution fuzziness and randomness within temperate coniferous forests exceed those of deciduous broad-leaved forests. Within the core zones, the uncertainty regarding the vertical distribution of vegetation across different aspects remains consistent, which retains the characteristic of man-made forests. However, in transition areas, there is significant disparity, reflecting the adaptive relationship between vegetation and its environment to some extent. In the upper and lower extension zones of deciduous broad-leaved forests, the EX values for the vertical distribution height of mixed coniferous and broad-leaved forests differ significantly from those of deciduous broad-leaved forests (the difference is 22.82-39.15 m), yet closely resemble those of temperate coniferous forests (the difference is 4.79-7.94 m). This suggests a trend wherein deciduous broad-leaved tree species exhibit a proclivity to encroach upon coniferous forest habitats. The elevation cloud model of vertical vegetation zones provides a novel perspective and method for the detailed analysis of Mount Taishan's vegetation vertical differentiation.
虽然泰山的森林主要是人工林,但植被具有显著的垂直变化。本研究采用云模型方法,量化事物的不确定性(模糊性和随机性)。利用数字高程模型(DEM)和植被分布数据,我们为泰山的落叶阔叶林、温带针叶林和针阔混交林构建了海拔云模型。利用云模型的三个数字特征——期望(EX)、熵(EN)和超熵(HE),我们从不确定性理论的角度定量分析了泰山森林垂直分布的宏观规律和局部异质性。结果表明:(1)落叶阔叶林核心区海拔的 EX 为 716.65m,温带针叶林为 1053.51m,针阔混交林为 1384.09m。针阔混交林核心区分布高度的变化范围较小(EN:53.74m),落叶阔叶林(EN:99.63m)和温带针叶林(EN:121.70m)。(2)落叶阔叶林和温带针叶林的下延区分布高度的模糊性和随机性(EN:75.15m,184.56m;HE:24.09m,63.54m)大于上延区(EN:44.75m,42.49m;HE:14.48m,13.23m)。(3)温带针叶林的分布模糊性和随机性大于落叶阔叶林。在核心区,不同方面植被垂直分布的不确定性保持一致,保留了人工林的特征。然而,在过渡区,差异显著,在一定程度上反映了植被与环境的适应关系。在落叶阔叶林的上下延区,针阔混交林垂直分布高度的 EX 值与落叶阔叶林差异显著(差异为 22.82-39.15m),但与温带针叶林相似(差异为 4.79-7.94m)。这表明落叶阔叶树种有侵占针叶林生境的趋势。垂直植被带的海拔云模型为泰山植被垂直分异的详细分析提供了新的视角和方法。