Turkish Journal of Agriculture and Forestry
Abstract
As vital components of urban ecosystems, urban green spaces directly affect soil fertility and plant growth through nitrogen transport dynamics. This study addresses the existing methodological gaps in understanding nitrogen cycling within urban green spaces, particularly the unclear interaction mechanisms between vegetation structure and soil physicochemical characteristics. The study was conducted in the Green Expo Park located in Nanjing, China. Using a stratified sampling approach, physicochemical indicators of soil layers were measured and combined with community parameters—including leaf area index, vegetation coverage, and plant density—to identify key drivers through correlation and multiple regression analyses. The regulatory mechanisms of soil physicochemical properties and vegetation traits on the vertical distribution of nitrate nitrogen and ammonium nitrogen were systematically examined using interaction effect tests. Results indicate that soil nitrate nitrogen content decreases from 12.66 mg/kg to 3.42 mg/kg with increasing depth, primarily influenced by the inhibitory effect of soil bulk density and the promoting effect of leaf area index (β = 2.32). In contrast, the distribution of ammonium nitrogen is significantly influenced by the interaction between soil moisture content and vegetation coverage (p < 0.05). Vegetation structure plays a significant regulatory role in nitrogen transport, and communities with a high leaf area index effectively enhance soil nitrogen-use efficiency. This study identifies the key driving factors and mechanisms governing nitrogen transport in urban green space soils, providing a theoretical foundation for scientific management and community optimization.
Author ORCID Identifier
SHUJIAN YANG: 0009-0005-9230-5446
BAOXI YU: 0009-0009-3013-2972
ZHENG HE: 0009-0008-6479-0968
BAOCHANG LIU: 0009-0002-5338-1284
CHANG LIU: 0009-0007-5391-3144
DOI
10.55730/1300-011X.3342
Keywords
Urban green space, soil nitrogen, nitrogen transport, community optimization, multifactor coupling analysis
First Page
164
Last Page
176
Publisher
The Scientific and Technological Research Council of Türkiye (TÜBİTAK)
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
YANG, S, YU, B, HE, Z, LIU, B, & LIU, C (2026). Nitrogen transport patterns and vegetation community optimization in urban green space soils using multifactor coupling analysis. Turkish Journal of Agriculture and Forestry 50 (2): 164-176. https://doi.org/10.55730/1300-011X.3342