Land Degradation & Development最新文献

{"title":"Impact of Agriculture on Soil Degradation II, A European Perspective, Volume 121, The Handbook of Environmental Chemistry By Paulo Pereira, Miriam Muñoz-Rojas, Igor Bogunovic, Wenwu Zhao (eds.), Cham: Springer International Publishing, 2023. 347 pp. €291.19 (hardcover). ISBN: 3031320514, 978-3-03-132051-4","authors":"Calogero Schillaci","doi":"10.1002/ldr.5334","DOIUrl":"https://doi.org/10.1002/ldr.5334","url":null,"abstract":"<p>The book “Impact of Agriculture on Soil Degradation II: A European Perspective,” edited by Paulo Pereira, Miriam Muñoz-Rojas, Igor Bogunovic, and Wenwu Zhao (2022), presents a comprehensive examination of soil threats that impact the properties and functioning of agricultural soils in Europe. It is crucial for readers to understand the context of these threats, particularly by considering the definition of land degradation provided by the United Nations Convention to Combat Desertification (UNCCD): “Land degradation is the result of human-induced actions which exploit land, causing its utility, biodiversity, soil fertility, and overall health to decline.”</p>\u0000<p>This definition captures both known and emerging soil threats and underscores a topic of growing concern amid the intensification of climate extremes, increasing food demand, and land sealing due to logistics and urbanization. These factors have escalated over recent decades and demand attention as critical components affecting densely populated territories and rural areas that tend to be abandoned. Unlike unmanaged soils formed through natural processes, agricultural soils exhibit much higher spatial variability due to human management practices, which can, in turn, exacerbate soil threats. Across its 12 chapters, the book provides detailed analyses of soil degradation threats in 10 single countries and two multicountry case studies, offering a comprehensive perspective on the most critical issues facing soil sustainability.</p>\u0000<p>The book covers the most crucial soil threats at present times. In the majority of cases, the chapters are supported by relevant (country-related) peer-review literature, including the primary driver of climatic conditions, tillage, land use changes, loss of organic carbon, erosion, compaction, overgrazing, salinity, contamination by chemicals and microplastics, structure loss, fire, acidification, flooding, and landslides (Figure 1).</p>\u0000<figure><picture>\u0000<source media=\"(min-width: 1650px)\" srcset=\"/cms/asset/05b1c397-52c8-4606-9966-f3b3540ca9ea/ldr5334-fig-0001-m.jpg\"/><img alt=\"Details are in the caption following the image\" data-lg-src=\"/cms/asset/05b1c397-52c8-4606-9966-f3b3540ca9ea/ldr5334-fig-0001-m.jpg\" loading=\"lazy\" src=\"/cms/asset/34c745e0-0b99-4d7e-89af-fd2c982f8938/ldr5334-fig-0001-m.png\" title=\"Details are in the caption following the image\"/></picture><figcaption>\u0000<div><strong>FIGURE 1<span style=\"font-weight:normal\"></span></strong><div>Open in figure viewer<i aria-hidden=\"true\"></i><span>PowerPoint</span></div>\u0000</div>\u0000<div>Soil threats in agricultural land taken from the chapter's outlines. [Colour figure can be viewed at wileyonlinelibrary.com]</div>\u0000</figcaption>\u0000</figure>\u0000<p>A substantial portion of the book is dedicated to elaborating on general concepts of soil degradation, including erosion caused by water and wind, as well as policies aimed at mitigating these effects. It also delves into the changes in soil physicochemical propertie","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"17 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Mechanisms Impacting Soil Ca, Mg, and Na in Wastewater Land Application Systems Using Machine Learning Models","authors":"Runbin Duan, Jiangqi Gao, Yao Sun, Bingzi Zhu","doi":"10.1002/ldr.5327","DOIUrl":"https://doi.org/10.1002/ldr.5327","url":null,"abstract":"Wastewater land application is a widely accepted solution for addressing global water crisis, particularly in arid and semiarid regions, but it may cause soil Ca, Mg, and Na accumulation and result in soil degradation. The objective of this study was to investigate the underlying mechanisms impacting soil Ca, Mg, and Na in wastewater land application systems using tree-based machine learning models. Using data collected from previous field studies, decision tree (DT), random forest (RF), and extreme gradient boosting decision trees (XGBoost) models were developed to predict soil Ca, Mg, and Na in wastewater land application systems. XGBoost models showed the best performance, with <i>R</i>² and RMSE values of 0.999 and 18.9 mg/kg, 0.999 and 3.2 mg/kg, and 0.912 and 104 mg/kg on the training data and 0.989 and 345 mg/kg, 0.925 and 56.1 mg/kg, and 0.908 and 112 mg/kg on the test data for soil Ca, Mg, and Na prediction, respectively. Permutation importance analysis reveals that initial soil Ca and electrical conductivity (EC) and total irrigation amount, initial soil Mg, total precipitation and initial soil EC, and initial soil Na, total irrigation amount and wastewater Na were the top three predictive variables for soil Ca, Mg, and Na, respectively. Partial dependence analysis demonstrates how soil Ca, Mg, and Na changed with the predictive variables, and indicates that wastewater irrigation caused soil Ca, Mg, and Na accumulation. This study highlights the need for sustainable wastewater land application management to control soil sodium adsorption ratio and mitigate the risks of land degradation.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"101 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil Organic Carbon Stocks Depend Differently on Physicochemical Features in Subtropical Seasonally Flooded Wetland and Non-flooded Shoreland Forest","authors":"Zhifen Yuan, Chun Fu, Jie Liu, Fei Leng, Christoph Weihrauch, Jörg Rinklebe, Johannes Rousk, Bofu Zheng, Ruichang Shen","doi":"10.1002/ldr.5350","DOIUrl":"https://doi.org/10.1002/ldr.5350","url":null,"abstract":"In recent years, an increasing number of ecosystems are threatened by seasonal flooding, changing non-flooded shoreland (NF) into seasonally flooded wetland (SF), but the consequences of this hydrological change for soil organic carbon (SOC) dynamics remain unknown. In this study, we investigated how the SOC content was determined by flooding duration and soil physicochemical variables in adjacent SF and NF at six depths (0–10 cm, 10–20 cm, 20–30 cm, 30–50 cm, 50–70 cm, and 70–100 cm) at Shengjin Lake in subtropical China. Soil physicochemistry and SOC composition were analyzed, and Fourier-transformed infrared spectroscopy (FTIR) was used to resolve the SOC composition. Neither SOC content nor the vertical distribution of SOC was distinguishable between the sites. However, FTIR data revealed that plant-originated aliphatics and amides were higher at NF than SF sites, with the opposite pattern for aromatics. At SF sites, SOC content was positively affected by soil moisture and flooding duration and was negatively impacted by soil particle size at most soil layers. At NF sites, SOC content was mainly affected by silt and total Fe at the top 20 cm soil, while a higher fraction of plant-derived labile C was positively correlated to SOC contents at 30–100 cm depth. The results hence indicated a strong effect of seasonal flooding on SOC dynamics in terrestrial ecosystems. SOC stabilization induced by low mineralization and high adsorption played a central role at SF sites, while SOC formation through plant input was more important at NF sites. Our findings suggest that management strategies designed to conserve SOC will need to be site-specific.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"66 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Nexus Between Landscape Degradation and Flooding in the Niger River Catchment, Southeastern Nigeria: A 40-Year Geospatial Dynamics (1992–2022)","authors":"Osuagwu C. Charles, Ani D. Chinedu","doi":"10.1002/ldr.5311","DOIUrl":"https://doi.org/10.1002/ldr.5311","url":null,"abstract":"This paper examines the relationship between landscape degradation and flooding in the Niger River catchment of Onitsha, Nigeria, over a 40-year period (1992–2022), focusing on changes in land use and land cover characteristics. Satellite images were preprocessed and classified using Anderson's classification technique. Erdas Imagine GIS software was adopted to carry out change analysis for each of the classes generated. The Landsat images for all the years (1992, 2002, 2012, and 2022) were acquired for the months of July (wet season) and December (dry season) and analyzed. The trends in seasonal changes in land use and land cover characteristics were prominent in the wet season. This was significantly seen in changes for water body and vegetative area. Built-up areas and open spaces indicated a decrease during the wet season compared to the dry season. The notable changes occurred in water bodies and vegetation across the studied years, peaking in 1992 with 1628.82 ha for water bodies and 8993.79 ha for vegetation. In 2012, these values were 2040.93 and 8977.5 ha. The largest seasonal shifts were in vegetative areas in 2012 and built-up in 2022. After analyzing the geospatial data according to the classifications, the study uncovers a notable link between landscape degradation and increased flood susceptibility. Notably, the findings highlight that shifts in these landscape features during the wet season significantly impact flood occurrence, emphasizing the critical role of landscape degradation in exacerbating flood risks in the region.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"8 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Digital Inclusive Finance and Environmental Regulation on Eco-Efficiency of Farmland Utilization in China","authors":"Hua Lu, Jiawei Luo, Laiyou Zhou, Jing Ye","doi":"10.1002/ldr.5352","DOIUrl":"https://doi.org/10.1002/ldr.5352","url":null,"abstract":"The farmland pollution has threatened the lifeblood of people's livelihoods through the soil-to-crop system, and the resulting food safety risks are becoming more and more pronounced. Digital inclusive finance (DIF) can provide convenient financial services for the eco-transformation of farmland utilization. This study analyzed the spatial evolution pattern of eco-efficiency of farmland utilization (EEFU) and DIF, empirically tested the impact of DIF on EEFU, and discussed the impact of DIF on EEFU with changes in the level of environmental regulatory intensity based on panel data from 2011 to 2022 in China. The results found that the development of EEFU and DIF is increasing, and the polarization phenomenon is constantly easing, but the absolute differences between different provinces in China have an expanding trend. DIF can improve the EEFU, and this promotion effect is more pronounced in eastern and central China, non-grain-producing areas, and areas with low levels of financial development. DIF will not be able to improve EEFU until environmental regulation has reached a certain level. China should fully leverage the positive role of DIF and environmental regulations in promoting the EEFU, provide more differentiated financial products, financial tools, and financial models for the eco-transformation of farmland utilization, and explore a path for eco-transformation of farmland utilization that complements environmental regulations and development of market-inclusive finance.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"219 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Delineation of Management Zones for Site-Specific Soil Nutrient Management for Sustainable Crop Production","authors":"Arvind Kumar Shukla, Sanjib Kumar Behera, Pardeep Kumar, Rahul Mishra, Vimal Shukla, Satya Pratap Pachauri, Yogesh Sikaniya, Prakash Chandra Srivastava, Akanksha Sikarwar, Dileep Kumar, Siba Prasad Datta","doi":"10.1002/ldr.5357","DOIUrl":"https://doi.org/10.1002/ldr.5357","url":null,"abstract":"Soil nutrients deficiencies are one of the major causes of soil degradation in different parts of World, adversely impacting crop production. Delineation of soil nutrients management zones (MZs) is one of the commonly used techniques for evaluating spatial distribution pattern of soil parameters for adoption of site-specific nutrient management. We, therefore, conducted the present study to understand the spatial distribution pattern of soil nutrients and their associated soil properties, and to delineate soil nutrients MZs in a north-western Indian Himalayan (NWIH) region. A total of 18,930 representative surface (0–15 cm depth) soil samples were collected and processed. The processed soil sample were analyzed for pH, and electrical conductivity (EC), soil organic carbon (SOC), available N (AN), available P (AP), available potassium (AK), exchangeable Ca (Ex. Ca), exchangeable Mg (Ex. Mg), available S (AS), available Zn (AZn), available Fe (AFe), available Cu (ACu), available Mn (AMn) and available B (AB). The values of studied soil parameters varied widely with coefficient of variation ranging from 11.8% to 156%. Semivariogram analysis revealed stable, exponential and Gaussian best-fit models for different soil parameters with weak (AP and AB), moderate (rest of soil parameters) and strong (AS) spatial dependence. Varied distribution pattern of soil parameters was visualized from ordinary kriging interpolation. Five soil nutrient management zones (MZs) were identified (using fuzzy performance index and normalized classification entropy values) by employing the techniques of principal component analysis and fuzzy c-means clustering. Principal components with Eigen value &gt; 1 were considered for further analysis. The soil parameters of identified MZs differed significantly. Thus, the study highlighted the usefulness of MZ delineation technique for site-specific soil nutrient management in different cultivated areas for sustainable crop production. The developed MZ maps could suitably be used for efficient management of agronomic inputs especially fertilizer nutrients for improved environmental and economic efficiency.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Subsurface Drainage Requirement for Different Soil Desalinization Goals in Coastal Reclamation Areas","authors":"Yawen Chen, Zhonghua Jia, Yuxuan Wu, Ziqi Sha, Wan Luo","doi":"10.1002/ldr.5342","DOIUrl":"https://doi.org/10.1002/ldr.5342","url":null,"abstract":"Building subsurface drainage systems for more efficient salt leaching with the natural rainfall or artificial irrigation is a widely accepted practice for saline soils reclamation, but the high initial cost of the system construction often limits its adoption, and the uncertainty in drainage intensity requirement to meet desired desalinization goals for field crop production challenges the system design. In this paper, we proposed a soil desalinization model based on the field hydrology model-DRAINMOD, predicted number of years required to lower soil salinity to a threshold level under different subsurface drainage conditions, and estimated the net return from different subsurface drainage system layout based on a case study in a coastal reclamation area in eastern China. The results showed that, DRAINMOD accurately predicted water table fluctuations in artificially drained fields: the root mean square error to standard deviation ratio (RSR) was 0.4 and 0.54, and the Nash Sutcliffe efficiency (NSE) was 0.84 and 0.68, respectively, during the model calibration and validation periods. The DRAINMOD based soil desalinization model predicted a negative relationship between subsurface drainage intensity and the soil desalinization period, that is, improving drainage condition shortened the time requirement for soil desalinization. For the study area, the model's predictions showed that installing subsurface drainage at 20 m spacing and 1.2 m deep lowered soil salinity to the slightly saline level in less than 7 years under the rainfall leaching only, and such system layout produced the maximum economic return based on the local agricultural practice. The results indicate that, early investment in adequate subsurface drainage systems is beneficial for field crop production in the salt impacted farmland areas. Findings from this research may provide technical references for saline soil reclamation or land improvement in both rain fed and irrigated agricultural areas.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"45 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment and Multiscenario Simulation of Land Use and Ecosystem Services Interactions in Inner Mongolia","authors":"Zhen-Zhong Dai, Sen Chang, Zhi-Yuan Zhu, Jia-Jia Duan, Tian-Yu Jiang, Wen-Qiang Wu, Yong-Zhong Feng, Gai-He Yang, Xing Wang","doi":"10.1002/ldr.5319","DOIUrl":"https://doi.org/10.1002/ldr.5319","url":null,"abstract":"Balancing land development and ecological protection poses significant challenges for sustainable development in arid and semi-arid regions like Inner Mongolia. This study uses the integrated valuation of ecosystem services (ESs) trade-offs model and patch-generated land-use simulation model to analyze the impacts of land-use/cover (LULC) changes on ESs from 2005 to 2020 and simulate scenarios for 2035. The results show that (1) ecological governance efforts improved the comprehensive ecological index (CEI), habitat quality, and soil conservation capacity but led to a decrease in the annual water yield (AWY) in the eastern region. Additionally, the conversion of grassland and forest land to construction land and farmland caused slight declines in carbon sequestration and increased nitrogen export. (2) The external driving factors of different ESs vary, and the internal relationships within ESs have also changed. Notably, changes in LULC transformed the synergy between AWY and habitat quality into a trade-off relationship after 2010 due to increased forest and grassland. (3) Among the five land-use scenarios, the comprehensive development scenario combined with zonal management strategies can achieve the sustainable development goals of economic growth, ecological protection, and food security. This study clarifies the internal and external factors affecting ESs in Inner Mongolia and provides a scientific basis for future LULC management and ecological governance policies. It fills a gap in the spatiotemporal simulation of ESs under multiple scenarios in this region. These findings offer valuable references for promoting sustainable development in similar arid and semi-arid regions, highlighting the importance of integrating multi-objective strategies and adaptive management practices to balance ecological and economic objectives.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"24 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative and Cost‐Effective Approaches to the Measurement of Sediment Levels in Small Water Reservoirs","authors":"Stanislav Paseka","doi":"10.1002/ldr.5341","DOIUrl":"https://doi.org/10.1002/ldr.5341","url":null,"abstract":"Sedimentation in small water reservoirs poses a critical challenge with significant environmental, economic, and social implications. To address this issue, this study will employ three measurement techniques—GNSS RTK Trimble R8s, Echolot HDS LIVE 7 with Active Imaging 3‐in‐1, and the Mivardi Carp Scout bait boat—to assess sediment levels in Žebětínský Pond in Brno, Czech Republic. The research reveals that each method offers distinct advantages and limitations. Through measurement and triangulated networks, the study creates a digital terrain model that facilitates the determination of reservoir volume and sediment levels. The comparison shows that the cost‐effective alternatives, Echolot HDS LIVE 7 and Mivardi Carp Scout, provide sufficiently accurate results. The evaluation shows that while the GNSS RTK Trimble R8s has the highest level of accuracy and is unique in its ability to measure both along the shoreline of the reservoir and the hard bottom, it comes with increased costs and logistical challenges. The Echolot HDS LIVE 7 and Mivardi Carp Scout offer efficient, cost‐effective solutions that are suitable for a quick estimate of sediment thickness. This research contributes to the use of reliable mathematical models and water management strategies, advocating for a pragmatic approach to the selection of methods based on the project characteristics. The study provides valuable insights into sediment measurement techniques, guiding future endeavors in reservoir management and environmental conservation. It is also used to easily indicate the loss of arable land in the catchment upstream of the reservoir.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"9 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Effectiveness of Different Kinetic Models in Simulating the Soil Nitrification Process of Ammonium Fertilizers","authors":"Jianyu Tao, Xiaoyuan Liu","doi":"10.1002/ldr.5354","DOIUrl":"https://doi.org/10.1002/ldr.5354","url":null,"abstract":"Precise estimation of the soil nitrification process of ammonium fertilizers is crucial to improving soil fertility and reducing environmental pollution since nitrification is closely related to ammonia volatilization and nitrate leaching. However, the applicability and effectiveness of different kinetic models in simulating the soil nitrification process have not been systematically evaluated in previous studies. Here, we compared the effectiveness of one self-established model (T-function) and three commonly-used kinetic models (L-function, zero-order kinetic model, and first-order kinetic model) using data extracted from peer-reviewed publications. Results showed that the average determination coefficients (<i>R</i>²) of the T-function and L-function were 3% higher than that of the first-order kinetic model, while the average root mean square errors (RMSE) of the T-function and L-function were 30% lower than that of the first-order kinetic model. In addition, first-order kinetic model could not function properly when it was applied to simulate linear data. Zero-order kinetic model was not suitable for predicting soil nitrification process because its mathematical nature was inconsistent with the actual soil nitrification process. Further investigations of the parameters of the T-function and L-function revealed that p1 (parameter 1) represented the soil net nitrate production of the applied N fertilizer, while p1 × p3 represented the soil nitrification rate. The response of the parameters of the T-function was more sensitive to soil pH, TN, and C/N ratio changes than those of the L-function. Therefore, the T-function is slightly more accurate than the L-function, but it requires more data points to achieve the best performance. In general, T-function and L-function are the most suitable models for simulating the soil nitrification process of N fertilizers and have the potential to be incorporated into soil N cycling models.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"235 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142488749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}