Tian Yu, Qiang Fangfang, Liu Guangquan, Liu Changhai, Ai Ning
Key Laboratory of Applied Ecology on the Loess Plateau of Shaanxi Higher Education Institutions, College of Life Sciences, Yan'an University, Yan'an 716000, China.
China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Insects. 2025 Jun 15;16(6):630. doi: 10.3390/insects16060630.
This study takes the Jinfoping Small Watershed in the Loess Hilly Region as the research area. Through field investigation and laboratory analysis, combined with methods such as spatial autocorrelation analysis, the ordinary least squares method (OLS), and the geographically weighted regression model (GWR), it deeply explores the spatial distribution characteristics and driving factors of Formicidae in the study area. The research results are as follows: (1) Spatial autocorrelation analysis indicates that the distribution of Formicidae is significantly regulated by spatial dependence and has significant spatial autocorrelation (global Moran's I = 0.332; < 0.01). (2) The spatial visualization analysis of the GWR model reveals that soil physical and chemical properties and topographic factors have local influences on the spatial distribution of Formicidae. Available phosphorus (AP) and slope (SLP) were significantly positively correlated with the number of ants. Hydrogen peroxidase (HP) and topographic relief (TR) were significantly negatively correlated with the number of ants. This study reveals the spatial distribution pattern of Formicidae in the Loess Hilly Region and its complex relationship with environmental factors, and clarifies the importance of considering spatial heterogeneity when analyzing ecosystem processes. The research results provide a scientific basis for the protection and management of soil ecosystems, and also offer new methods and ideas for future related research.
本研究以黄土丘陵区金佛坪小流域为研究区域。通过野外调查和实验室分析，结合空间自相关分析、普通最小二乘法（OLS）和地理加权回归模型（GWR）等方法，深入探讨了研究区域内蚁科昆虫的空间分布特征及其驱动因素。研究结果如下：（1）空间自相关分析表明，蚁科昆虫的分布受空间依赖性显著调控，具有显著的空间自相关性（全局Moran's I = 0.332；<0.01）。（2）GWR模型的空间可视化分析表明，土壤理化性质和地形因素对蚁科昆虫的空间分布具有局部影响。有效磷（AP）和坡度（SLP）与蚂蚁数量显著正相关。过氧化氢酶（HP）和地形起伏度（TR）与蚂蚁数量显著负相关。本研究揭示了黄土丘陵区蚁科昆虫的空间分布格局及其与环境因素的复杂关系，阐明了在分析生态系统过程时考虑空间异质性的重要性。研究结果为土壤生态系统的保护和管理提供了科学依据，也为未来相关研究提供了新的方法和思路。
