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Li T, Zhang B, Du A, Yang S, Huang K, Peng F, Xiao Y. Dynamic Monitoring of Nutrition Inputs and Fertility Evaluation during a Decade in the Main Peach-Producing Areas of Shandong Province, China. PLANTS (BASEL, SWITZERLAND) 2023; 12:1725. [PMID: 37111948 PMCID: PMC10145419 DOI: 10.3390/plants12081725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/09/2023] [Accepted: 04/15/2023] [Indexed: 06/19/2023]
Abstract
The main peach-producing area in Shandong is an important peach fruit-producing area in China. Understanding the nutritional properties of the soil in peach orchards helps us to understand the evolution of soil properties and adjust management methods in a timely manner. This study focuses on 52 peach orchards in the main peach-producing area in Shandong as the research object. The spatiotemporal changes in soil traits and their influential factors were studied in depth, and the changes in soil fertility were effectively evaluated. The results showed that the input of nitrogen, phosphorus and potassium from organic fertilizer in 2021 was significantly higher than that in 2011, while the input of fertilizer in 2011 was significantly higher than that in 2021. Compared with traditional parks, both organic fertilizer inputs and chemical fertilizer inputs in demonstration parks showed a significant downwards trend. There was no significant change in pH values between 2011 and 2021. In 2021, the soil organic matter (SOM) contents of the 0-20 cm and 20-40 cm layers were 24.17 g·kg-1 and 23.38 g·kg-1, respectively, an increase of 29.3% and 78.47% over the values measured in 2011. Compared with 2011, the content of soil alkaloid nitrogen (AN) decreased significantly in 2021, and the contents of available phosphorus (AP) and available potassium (AK) in the soil increased significantly. According to the calculation results of the comprehensive fertility index (IFI) value, we found that in 2021, compared with 2011, the quality of soil fertility improved, most of which was at the medium and high levels. The research results show that the fertilizer-saving and synergistic approach in peach orchards in China significantly improved the soil nutrition. In the future, research on suitable comprehensive technologies should be strengthened in the management of peach orchards.
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Affiliation(s)
| | | | | | | | | | - Futian Peng
- Correspondence: (F.P.); (Y.X.); Tel.: +86-135-6382-1651 (F.P.); +86-151-6387-3786 (Y.X.)
| | - Yuansong Xiao
- Correspondence: (F.P.); (Y.X.); Tel.: +86-135-6382-1651 (F.P.); +86-151-6387-3786 (Y.X.)
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2
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Dar AA, Parthasarathy N. Ecological drivers of soil carbon in Kashmir Himalayan forests: Application of machine learning combined with structural equation modelling. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 330:117147. [PMID: 36610192 DOI: 10.1016/j.jenvman.2022.117147] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 12/06/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
Soil carbon (SC) heterogeneity in mountain ecosystems is ascertained by a complex interdependency of topography, climate, edaphic features, and biotic elements, which may incite uncertainties in regional SC estimation. However, quantitative evaluations of the interplay between SC and these determinants as well as underlying possible link networks, are uncommon. Using the data set of SC along with soil properties at 0-10 and 10-20 cm depths from 135 plots under three coniferous forests, we aimed to ascertain SC heterogeneity and to elucidate how these interactions affect the SC storage, operating data-driven models (Least Absolute Shrinkage and Selection Operator [LASSO] regression and structural equation modeling [SEM]) to identify the dominant explanatory factors affecting the distribution of SC in Kashmir Himalayan forests. Average SC stocks at 0-10 cm and 10-20 cm depth intervals range from 32.41 Mg ha-1 in sub-alpine (SA) forest to 48.50 Mg ha-1 in mixed conifer (MC) forest. The findings show that SC declines significantly from 0 - 10 cm to 10-20 cm strata, consistent with other soil physico-chemical determinants other than bulk density. SEM renders better model fit (0-10 cm: R2 = 0.61; 10-20cm: R2 = 0.46) with lesser uncertainties compared to LASSO (0-10 cm: R2 = 0.55; 10-20cm: R2 = 0.37). Soil properties and topography play a key role in modulating SC stocks, with total nitrogen (TN), soil moisture (SM), and elevation being principal drivers with contrasting effects on SC storage, while climate and vegetation parameters are of lesser influence. The relative effect of majority of explanatory drivers reduces with depth while that of temperature increases. Our analyses indicate that shifts in floristic composition could have long-lasting implications on soil structure and C storage, providing valuable data for C sink management.
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Affiliation(s)
- Ashaq Ahmad Dar
- Department of Ecology and Environmental Sciences, School of Life Sciences, Pondicherry University, Puducherry, 605 014, India
| | - Narayanaswamy Parthasarathy
- Department of Ecology and Environmental Sciences, School of Life Sciences, Pondicherry University, Puducherry, 605 014, India.
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Fang J, Zhang L, Rao S, Zhang M, Zhao K, Fu W. Spatial variation of heavy metals and their ecological risk and health risks to local residents in a typical e-waste dismantling area of southeastern China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:604. [PMID: 35867165 DOI: 10.1007/s10661-022-10296-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
There is an increasing concern that soils in e-waste recycling regions are severely contaminated by unregulated e-waste dismantling activities. Hence, it is urgent to reveal the spatial variation of hazardous elements in arable lands close to e-waste stacking and dismantling areas and their potential risks to human beings. We collected 349 topsoil samples based on an intensive grid of 100 m × 100 m in southeastern China. The average concentrations of heavy metals were 1.25 (Cd), 35.44 (Ni), 77.68 (Cr), 77.38 (Pb), 122.14 (Cu), 203.39 (Zn), 0.21 (Hg), and 4.74 (As) mg kg-1, respectively. Compared to the risk screening values of hazardous elements in Chinese agricultural land, Cd and Cu were severely accumulated in the soils. The results of ecological risk analysis revealed that Cd posed the crucial risk among the studied elements. However, the levels of non-carcinogenic and carcinogenic risk were still within the acceptable quantity for adults. Spatial distribution by kriging interpolation displayed that the heavy metals were mainly distributed close to e-waste dismantling sites.
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Affiliation(s)
- Jia Fang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, China
| | - Luyao Zhang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, China
| | - Shengting Rao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, China
| | - Minghua Zhang
- Department of Land, Air, and Water Resources, University of California, Davis, CA, 95616, USA
| | - Keli Zhao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, China
| | - Weijun Fu
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, China.
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Xiao L, Li C, Cai Y, Zhou T, Zhou M, Gao X, Shi Y, Du H, Zhou G, Zhou Y. Interactions between soil properties and the rhizome-root distribution in a 12-year Moso bamboo reforested region: Combining ground-penetrating radar and soil coring in the field. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 800:149467. [PMID: 34391161 DOI: 10.1016/j.scitotenv.2021.149467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 06/13/2023]
Abstract
Moso bamboo (Phyllostachys pubescens) plays an important role in mitigating climate change and ameliorating soil degradation because of its high carbon sequestration capacity and erosion resistance. Its strong underground rhizome-root systems form the basic framework of the aboveground system of Moso bamboo forest and define the basic ecological characteristics. However, studies on the relationship between the spatial distribution of roots and soil resources have often been neglected due to methodological limitations. The objective of this study was to test the detectability of rhizomes in the field by ground-penetrating radar (GPR) and to understand the interactions between rhizome-root systems and soil characteristics. The rhizome-root system distribution was investigated using GPR; and the soil texture, soil organic carbon and soil nutrients were investigated using a soil coring method to prepare 50-cm soil profiles. A few key findings were emphasized. First, the rhizome-root system was mainly distributed over a soil depth of 0-30 cm; and the rhizomes were larger in diameter (often greater than 1.0 cm). Therefore, GPR can accurately detect rhizomes in the field, making the non-invasive and long-term estimation of rhizome biomass and monitoring of changes in rhizome dynamics possible under field conditions. Second, the spatial heterogeneity of the soil moisture content, alkaline hydrolysed nitrogen and available phosphorus had a greater effect on the rhizomes spatial distribution than did the spatial heterogeneity of other soil characteristics. The rhizomes clonal growth led to increases in soil organic carbon, which promoted the amelioration of degraded soil. Third, the results provide insights for bamboo forest management, such as the application of GPR to prevent bamboo invasion and to determine the appropriate fertilizer level for a rhizome system. More field tests are needed to validate the application of GPR to rhizome systems and enhance the detection and quantification of rhizome systems in bamboo forest ecosystems.
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Affiliation(s)
- Longdong Xiao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Chong Li
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
| | - Yue Cai
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Tao Zhou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Mingxing Zhou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Xueyan Gao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Yongjun Shi
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Huaqiang Du
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China
| | - Guomo Zhou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
| | - Yufeng Zhou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Zhejiang Provincial Collaborative Innovation Center for Bamboo Resources and High-efficiency Utilization, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang A&F University, Lin'an 311300, Zhejiang, China; School of Environmental and Resources Science, Zhejiang A&F University, Lin'an 311300, Zhejiang, China.
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Jin J, Wang L, Müller K, Wu J, Wang H, Zhao K, Berninger F, Fu W. A 10-year monitoring of soil properties dynamics and soil fertility evaluation in Chinese hickory plantation regions of southeastern China. Sci Rep 2021; 11:23531. [PMID: 34876648 PMCID: PMC8651749 DOI: 10.1038/s41598-021-02947-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 11/18/2021] [Indexed: 11/09/2022] Open
Abstract
Monitoring the temporal and spatial variation of soil properties is helpful to understand the evolution of soil properties and adjust the management method in time. Soil fertility evaluation is an urgent need to understand soil fertility level and prevent soil degradation. Here, we conducted an intensive field investigation in Chinese hickory (Carya cathayensis Sarg.) plantation to clarify the spatial and temporal variation of soil properties and its influencing factors, and to evaluate the change of soil fertility. The results showed that the soil pH and soil organic carbon (SOC) significantly increased from 2008 to 2018, while available nitrogen (AN) significantly decreased from 2008 to 2018. The semi-variance revealed that except available phosphorus (AP), the spatial dependencies of soil properties increased from 2008 to 2018. An increasing south-north gradient was found for soil AN, AP, available potassium (AK) and SOC and a decreasing south-north gradient was found for soil pH. The average soil fertility in the whole area was increased from 2008 to 2018. Our findings demonstrated that the changes of the management measures were the reason for the change of soil properties from 2008 to 2018. Therefore, rational fertilization strategies and sod cultivation are recommended to maintain the long-term development of the producing forest.
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Affiliation(s)
- Jin Jin
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Luoqi Wang
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Karin Müller
- The New Zealand Institute for Plant and Food Research Limited, Ruakura Research Centre, Private Bag, Hamilton, 3123, New Zealand
| | - Jiasen Wu
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China.
| | - Hailong Wang
- Biochar Engineering Technology Research Center of Guangdong Province, School of Environmental and Chemical Engineering, Foshan University, Foshan, 528000, China
| | - Keli Zhao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Frank Berninger
- Department of Environmental and Biological Sciences, University of Eastern Finland, PO Box 111, 80101, Joensuu, Finland
| | - Weijun Fu
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China. .,Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A&F University, Lin'an, 311300, China.
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