Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions
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 mode...
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MDPI AG
2025-06-01
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| Series: | Insects |
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| Online Access: | https://www.mdpi.com/2075-4450/16/6/630 |
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| author | Yu Tian Fangfang Qiang Guangquan Liu Changhai Liu Ning Ai |
| author_facet | Yu Tian Fangfang Qiang Guangquan Liu Changhai Liu Ning Ai |
| author_sort | Yu Tian |
| collection | DOAJ |
| description | 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; <i>p</i> < 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. |
| format | Article |
| id | doaj-art-a19b9fa22a26499c9044173f9bda5d38 |
| institution | Matheson Library |
| issn | 2075-4450 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Insects |
| spelling | doaj-art-a19b9fa22a26499c9044173f9bda5d382025-06-25T13:58:34ZengMDPI AGInsects2075-44502025-06-0116663010.3390/insects16060630Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly RegionsYu Tian0Fangfang Qiang1Guangquan Liu2Changhai Liu3Ning Ai4Key Laboratory of Applied Ecology on the Loess Plateau of Shaanxi Higher Education Institutions, College of Life Sciences, Yan’an University, Yan’an 716000, ChinaKey Laboratory of Applied Ecology on the Loess Plateau of Shaanxi Higher Education Institutions, College of Life Sciences, Yan’an University, Yan’an 716000, ChinaChina Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaKey Laboratory of Applied Ecology on the Loess Plateau of Shaanxi Higher Education Institutions, College of Life Sciences, Yan’an University, Yan’an 716000, ChinaKey Laboratory of Applied Ecology on the Loess Plateau of Shaanxi Higher Education Institutions, College of Life Sciences, Yan’an University, Yan’an 716000, ChinaThis 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; <i>p</i> < 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.https://www.mdpi.com/2075-4450/16/6/630loess hilly areaFormicidaespatial distributiongeographically weighted regression model (GWR) |
| spellingShingle | Yu Tian Fangfang Qiang Guangquan Liu Changhai Liu Ning Ai Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions Insects loess hilly area Formicidae spatial distribution geographically weighted regression model (GWR) |
| title | Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions |
| title_full | Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions |
| title_fullStr | Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions |
| title_full_unstemmed | Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions |
| title_short | Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions |
| title_sort | spatial distribution characteristics and driving factors of formicidae in small watersheds of loess hilly regions |
| topic | loess hilly area Formicidae spatial distribution geographically weighted regression model (GWR) |
| url | https://www.mdpi.com/2075-4450/16/6/630 |
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