Author
Listed:
- Ziqi Shang
(School of Land Engineering, Shaanxi Key Laboratory of Land Consolidation, Chang’an University, Xi’an 710054, China)
- Jichang Han
(School of Land Engineering, Shaanxi Key Laboratory of Land Consolidation, Chang’an University, Xi’an 710054, China
Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Xi’an 710075, China
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710021, China
Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075, China)
- Yonghua Zhao
(School of Land Engineering, Shaanxi Key Laboratory of Land Consolidation, Chang’an University, Xi’an 710054, China
Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Xi’an 710075, China
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710021, China)
- Ziru Niu
(Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Xi’an 710075, China
Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710021, China
Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075, China)
- Tingyu Zhang
(School of Land Engineering, Shaanxi Key Laboratory of Land Consolidation, Chang’an University, Xi’an 710054, China
Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Xi’an 710075, China
Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075, China)
Abstract
[Objective] This study focused on the primary tea-producing regions of Shangluo City (ranging from 108°34′20″ E to 111°1′25″ E and 33°2′30″ N to 34°24′40″ N), which include Shangnan County, Zhen’an County, Zhashui County, Danfeng County, and Shanyang County. The aim was to explore the characteristics and influencing factors of soil nutrient content variation across different tea gardens in the area. The study involved an analysis of various soil nutrient indicators and an investigation of their correlations to assess the nutrient status of tea gardens in Shangluo City. [Method] A total of 228 soil samples from these tea gardens were quantitatively analyzed for pH, soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP), total potassium (TK), available nitrogen (AN), available phosphorus (AP), available potassium (AK), as well as clay, silt, and sand content. Additionally, the soil texture was qualitatively analyzed. Statistical methods including analysis of variance (ANOVA), correlation analysis, principal component analysis (PCA), and regression analysis were performed using SPSS software to examine the relationships between soil nutrients and texture in relation to altitude, latitude, and fertility status. [Results] The results indicated that the pH of tea garden soils in Shangluo City was relatively stable, ranging from 4.3 to 7.6, with the mean of 5.9 and a coefficient of variation of 11.0%. The soil organic matter (SOM) content varied from 7.491 to 81.783 g/kg, exhibiting a moderate variability with a coefficient of variation of 38.75%. The mean values for total nitrogen (TN), available nitrogen (AN), total phosphorus (TP), available phosphorus (AP), total potassium (TK), available potassium (AK), clay, silt, and sand were 1.53 g/kg, 213 mg/kg, 0.85 g/kg, 49.1 mg/kg, 5.5 g/kg, 110 mg/kg, 3.99, 44.89, and 51.11, respectively. AN and AP displayed higher coefficients of variation at 57% and 120.1%, respectively. Significant differences in pH, SOM, TN, TP, TK, silt, and sand were observed at varying elevations, while TN, TP, TK, clay, silt, and sand varied significantly across different latitudes. Principal component analysis (PCA) results revealed that altitude had four principal components with eigenvalues greater than 1, accounting for 71.366% of the total variance, whereas latitude exhibited five principal components with eigenvalues exceeding 1, explaining 76.304% of the total variance. Regression analysis indicated that altitude exerted a stronger influence on soil indicators, as demonstrated by a well-fitting model (Model 4), where the coefficients of principal components 1, 3, and 4 were positive, while that of principal component 2 was negative. In contrast, latitude influenced soil indicators most effectively in Model 3, where the coefficient of principal component 5 was positive, and the coefficients of principal components 1 and 4 were negative. [Conclusions] The variation in soil nutrients and pH in the tea gardens of Shangluo City is closely associated with altitude and latitude. Notably, there is no discernible trend of pH acidification. Therefore, tea garden management should prioritize the rational application of soil nutrients at varying altitudes and focus on enhancing soil texture at different latitudes to adapt to the diverse soil characteristics under these conditions, thereby promoting sustainable development in tea gardens.
Suggested Citation
Ziqi Shang & Jichang Han & Yonghua Zhao & Ziru Niu & Tingyu Zhang, 2025.
"Spatial Changes in Soil Nutrients in Tea Gardens from the Perspective of South-to-North Tea Migration: A Case Study of Shangluo City,"
Land, MDPI, vol. 14(1), pages 1-24, January.
Handle:
RePEc:gam:jlands:v:14:y:2025:i:1:p:74-:d:1559193
Download full text from publisher
References listed on IDEAS
- Yangyang Li & Lihua Huang & Huan Zhang & Mingming Wang & Zhengwei Liang, 2017.
"Assessment of Ammonia Volatilization Losses and Nitrogen Utilization during the Rice Growing Season in Alkaline Salt-Affected Soils,"
Sustainability, MDPI, vol. 9(1), pages 1-15, January.
- Guanhua Zhang & Wenjun Yang & Jiajun Hu & Jigen Liu & Wenfeng Ding & Jinquan Huang, 2023.
"Effects of tea planting age on soil microbial biomass C:N:P stoichiometry and microbial quotient,"
Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 69(5), pages 221-229.
- Netrananda Sahu & Pritiranjan Das & Atul Saini & Ayush Varun & Suraj Kumar Mallick & Rajiv Nayan & S. P. Aggarwal & Balaram Pani & Ravi Kesharwani & Anil Kumar, 2023.
"Analysis of Tea Plantation Suitability Using Geostatistical and Machine Learning Techniques: A Case of Darjeeling Himalaya, India,"
Sustainability, MDPI, vol. 15(13), pages 1-21, June.
Full references (including those not matched with items on IDEAS)
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
- Shen Yuan & Shaobing Peng, 2017.
"Exploring the Trends in Nitrogen Input and Nitrogen Use Efficiency for Agricultural Sustainability,"
Sustainability, MDPI, vol. 9(10), pages 1-15, October.
- Elisabeth Srihayu Harsanti & Asep Nugraha Ardiwinata & Sukarjo & Hidayatuz Zu'amah & Asep Kurnia & Mas Teddy Sutriadi & Dedi Nursyamsi & Wahida Annisa Yusuf & Anicetus Wihardjaka, 2024.
"Nitrogen losses (N2O and NO3-) from mustard (Brassica juncea L.) cropping applied urea coated bio-charcoal,"
Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 70(1), pages 1-10.
- repec:caa:jnlpse:v:preprint:id:282-2023-pse is not listed on IDEAS
- Chong Tang & Jingsong Yang & Wenping Xie & Rongjiang Yao & Xiangping Wang, 2023.
"Effect of Biochar Application on Soil Fertility, Nitrogen Use Efficiency and Balance in Coastal Salt-Affected Soil under Barley–Maize Rotation,"
Sustainability, MDPI, vol. 15(4), pages 1-16, February.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:14:y:2025:i:1:p:74-:d:1559193. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.