数字农科院2.0

Spatial Analysis of Picea schrenkiana var. tianschanica: Biomass in the Tianshan Mountains, Xinjiang

文献类型： 外文期刊

作者： Chaoyong Cai;Wei Sun;Tao Bai;Quansheng Li;Shanshan Cao

作者机构：

关键词： biomass;spatial distribution characteristics;spatial heterogeneity;Tianshan region

期刊名称： Forests

ISSN： 1999-4907

年卷期： 2025 年 16 卷 1 期

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： From a global ecological management perspective, as a core tree species in the mountain ecosystem of Xinjiang, the study of the spatial distribution characteristics of Picea schrenkiana var. tianschanica is crucial for maintaining the ecological balance in the Tianshan region. This study focuses on the western section of the Tianshan mountains in Xinjiang and employs the variogram analysis technique to explore the spatial heterogeneity of Picea schrenkiana var. tianschanica biomass. Successively, the study implements ordinary kriging, multivariate linear regression, the random forest algorithm, and an innovative random forest residual kriging method to conduct a spatial interpolation analysis of Picea schrenkiana var. tianschanica biomass in the target area. The results indicate that the biomass of Picea schrenkiana var. tianschanica exhibits moderate spatial autocorrelation, with its distribution pattern being influenced by a combination of topography, climate, and soil conditions. After comparing multiple spatial interpolation methods, it is found that the hybrid model combining regression analysis and kriging, delivers the best performance (R2 = 0.642, RMSE = 40.18, RMSPE = 44.6). This model not only significantly improves the prediction accuracy, but also provides an intuitive and accurate spatial distribution map of Picea schrenkiana var. tianschanica biomass in the western section of the Tianshan mountains which reveals the global ecological importance of Picea schrenkiana var. tianschanica in an intuitive and accurate way, providing valuable scientific evidence and practical guidance for the field of international ecological protection and resource management.

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