Land Degradation & Development最新文献

{"title":"Hydrochemical Characteristics of Four Retreating Glacier Forefields Off the Coast of Admiralty Bay (King George Island, Maritime Antarctic): Diverse Sources of Metals and Metalloids","authors":"Joanna Potapowicz, Krystyna Kozioł, Joanna Plenzler, Robert Józef Bialik, Justyna Dudek, Marcin Frankowski, Anetta Zioła‐Frankowska, Sara Lehmann‐Konera, Żaneta Polkowska","doi":"10.1002/ldr.70176","DOIUrl":"https://doi.org/10.1002/ldr.70176","url":null,"abstract":"This study examines the impact of geological, marine and anthropogenic sources on metal and metalloid concentrations in the forefields of four glaciers (Ecology, Sphinx, Tower and Windy) on King George Island, Antarctic. Water samples were collected at the beginning and end of the hydrological season (austral summer, December 2021 to February 2022), while snow samples were taken from the remaining snow cover at the start of the season. The study area, underlain by the Llano Point and Zamek formations—comprised mainly of basalt and andesite—reveals significant geological contributions of elements such as Fe, Al and Mg due to active weathering processes amplified by glacial retreat. The research highlights how meteorological condition change‐induced temperature and precipitation increases accelerate sediment erosion and weathering, mobilising metals and metalloids from glaciers and snowmelt. Significant concentrations of Cr, V and Ba in collected samples align with the local geological substratum. Statistical analyses (Kruskal–Wallis ANOVA) identified notable differences in Mo and Ba levels between glacier forefields, consistent with geological influences, as these elements occur in varying concentrations within the local basaltic and andesitic bedrock. Seasonal variations were also observed, particularly for Mg and K ions, indicating that meltwater dynamics influence element mobilisation throughout the season. Furthermore, Tower Glacier's eastward exposure explains the higher concentrations of Zn and Cd, suggesting atmospheric deposition as a contributing factor. This study underscores the complex interactions between geological, climatic and atmospheric processes, illustrating how geogenic sources and cryosphere degradation influence the chemical landscape of Antarctic glacier forefields.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084455","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":"Additional Front Cover","authors":"Peng-Yang Wang,&nbsp;Ze-Ying Zhao,&nbsp;Xiao-Bin Xiong,&nbsp;Hong-Yan Tao,&nbsp;Jia-Cheng Guo,&nbsp;Meng Hao,&nbsp;Fan Ding,&nbsp;Mohammad Ashraf,&nbsp;Xing-Ming Fan,&nbsp;Chang-Lang Yang,&nbsp;Momena Irum,&nbsp;Jing Cao,&nbsp;Yi-Bo Wang,&nbsp;You-Cai Xiong","doi":"10.1002/ldr.70196","DOIUrl":"10.1002/ldr.70196","url":null,"abstract":"<p>The Inside Front cover image is based on the article <i>Microplastics Boost Soil Multifunctionality via Enhancing Competitive Co-Occurrence of Bacterial Communities in Drylands</i> by Peng-Yang Wang et al., https://doi.org/10.1002/ldr.70117.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"36 15","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Long‐Term Freshwater Replenishment on Soil Core Bacteria in Degraded Coastal Wetlands","authors":"Minjia Ge, Jingwen Gao, Shubo Fang, Fanzhu Qu, Jisong Yang, Zhikang Wang, Xuehong Wang, Yunzhao Li, Di Zhou, Bo Guan","doi":"10.1002/ldr.70206","DOIUrl":"https://doi.org/10.1002/ldr.70206","url":null,"abstract":"The replenishment of freshwater stands as a critical method for restoring wetlands within the Yellow River Delta. Despite its significance, limited knowledge exists regarding the impact of freshwater replenishment on the structure of soil core microbial communities and the potential mechanisms governing microbial community composition in coastal wetland ecosystems. To bridge this gap, we conducted an analysis of the impact on soil core bacterial communities in both upper (0–10 cm) and deep (10–20 cm) soils following 3, 7, and 20 years of freshwater replenishment, comparing them with natural wetlands. The results revealed that the bacterial diversity and soil nutrients after 20 years of freshwater replenishment were significantly higher than those in plots with only 3 years of replenishment but notably lower than those in natural wetlands. This restoration approach contributed to the soil biodiversity and functional stability. Among the core bacteria, Pseudomonadota shows high abundance. With the increase in freshwater replenishment time, the community structure became more stable, and core bacteria are key. Prolonged freshwater replenishment significantly changed the topological properties of soil bacterial networks; bacterial networks with longer freshwater replenishment times were more complex. 16S rRNA sequencing predicted that the abundance of genes related to “nitrogen metabolism” and “anaerobic respiration” transformation increased after the replenishment of freshwater, as critical functions. Further annotation identified that the key functions were performed by specific bacterial taxa, including Methylophaga and Desulfuromonas. Further analysis showed that the regulation of core bacteria communities in the soil during the restoration process was predominantly governed by deterministic factors. The soil electrical conductivity value emerged as a key environmental factor influencing the soil core bacterial community during freshwater replenishment. Nutrient factors, including total carbon, available phosphorus, alkaline phosphatase, and sucrase, were significantly impacted. These results significantly contribute to our understanding of how soil core bacterial communities respond to freshwater replenishment, highlighting microbial aspects as key considerations for developing successful wetland restoration frameworks.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"93 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072221","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":"Characteristics of Soil Water Distribution and Transport in Reconstructed Dump in Grassland Opencast Coal Mine Areas of China","authors":"Yuning Li, Jinman Wang, Tiantian Ye, Yafu Zhang","doi":"10.1002/ldr.70205","DOIUrl":"https://doi.org/10.1002/ldr.70205","url":null,"abstract":"Soil water is a crucial limiting factor for the growth of vegetation in the grassland region. However, mining activities disrupt the balance of the water cycle in the region, further exacerbating soil and vegetation degradation. Existing studies on soil water in mining areas lack systematic analysis of surface soil evaporation and root water uptake processes. Therefore, this study focused on the Shengli mine dump in northern China and investigates the dynamic soil water transport characteristics and influence mechanism of grassland opencast coal mine through sampling and numerical simulation methods. The soil water content's coefficient of variation decreased with increasing soil depth. The 0 to 20 cm soil layer was considered the water active layer. A hysteresis effect was observed in the change of soil water content from 20 to 40 cm depth. There was a linear positive correlation between the daily root water uptake and the surface soil water content. The precipitation infiltration process was mainly driven by gravitational potential energy, while the evaporation of soil water into the atmosphere was mainly driven by the difference in air saturation barometric pressure. The main driving force of vegetation's root water uptake was the difference in water potential between the soil and the vegetation. In the future, opencast mining areas in grasslands should be reasonably designed to reconstruct soil profiles, select revegetation configurations, and strengthen dynamic data monitoring and management. This study provides a theoretical basis for the ecological environment restoration of the opencast mine in the grassland.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"72 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072220","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":"Effects of Biodegradable Poly (Butylene Adipate‐Co‐Terephthalate) Microplastics on Grain Quality and Defense Mechanism of Wheat","authors":"Huijie Yang, Yan Yan, Jiyuan Li, Yuan Du, Jing Wang, Xiaokang Li","doi":"10.1002/ldr.70200","DOIUrl":"https://doi.org/10.1002/ldr.70200","url":null,"abstract":"Biodegradable poly (butylene adipate‐co‐terephthalate) (PBAT) plastics are an important alternative to conventional plastics used in agriculture; PBAT microplastics (MPs) are found in agricultural soils. However, little is known about the effects of PBAT MPs on crop toxicity, especially on edible fruit. Here, the effects of environmentally relevant concentrations of PBAT MPs on the growth, grain quality, and related molecular mechanisms of wheat were investigated using a soil pot experiment. The results showed that PBAT MPs inhibited wheat growth, damaged the root ultrastructure, and decreased mineral levels; these phenotypic effects are consistent with omics evidence showing downregulation of the TCA cycle metabolism and genes involved in metal ion binding. As a defense response to PBAT MPs, grain starch and protein levels decreased by 39.06% and 18.44%, respectively, whereas soluble sugar levels increased by 13.36%. These changes can be attributed to the downregulation of tryptophan metabolism and upregulation of galactose metabolism. The present results indicate the adverse effects of biodegradable MPs on crops, which may have beneficial implications for human dietary health and nutritional intake.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"15 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072224","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":"Straw Retention and Manure Application Increase the Yield of Rice in Rotation With Rapeseed and Wheat by Improving Soil Fertility","authors":"Rongyan Bu, Wenlong Cheng, Shang Han, Shan Tang, Min Li, Hui Wang, Rui Zhu, Fahui Jiang, Mengmeng Tang, Xia Huang, Run Hu, Luting Cai, Ji Wu","doi":"10.1002/ldr.70195","DOIUrl":"https://doi.org/10.1002/ldr.70195","url":null,"abstract":"Crop rotation alters soil properties, influencing nutrient availability and plant growth. However, the influence of preceding crops on rice yield is not fully understood, particularly regarding their interaction with fertilization. Here, a seven‐year field experiment was conducted to ascertain the fertilization effects on rice yield under rice–rapeseed (RR) and rice–wheat (RW) rotation. Treatments were established using no fertilizer (control), chemical fertilizer (F), chemical fertilizer with straw retention (FS), and organic manure substituting 20% chemical fertilizer (FM). Results showed that fertilization significantly increased rice yield compared to the control (<jats:italic>p</jats:italic> &lt; 0.05). Rice yield under RW (by 37.6%–48.9%) was more dependent on fertilizer inputs than under RR (by 29.0%–37.3%). Fertilization also improved the proportion of soil macroaggregates (&gt; 0.25 mm) and associated carbon (C) and nitrogen (N) storage. RR soils showed greater C and N storage in macroaggregates with FS compared to FM, and the opposite pattern was observed in RW soils. Except for β‐glucosidase and cellulase, soil extracellular enzymes involved in nutrition cycling exhibited their highest activities with FM. Random forest analysis revealed that soil enzyme activities and macroaggregate‐associated C and N storage were key determinants of rice yield, with limited relevance of small macroaggregates under RW compared to RR. These findings indicate that preceding crops shape rice yield responses to fertilization by modifying soil fertility. When combined with chemical fertilizer, straw retention under RR and manure application under RW are effective practices for maximizing rice productivity.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"71 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072223","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":"Sentinel‐2 and UAV Hyperspectral Image Data Fusion Used in Natural Disasters Cause Soil Pollution of the Distribution Map","authors":"Yangxi Zhang, Lifei Wei, Qikai Lu, Yanfei Zhong, Zeyang Wei, Li Cao","doi":"10.1002/ldr.70164","DOIUrl":"https://doi.org/10.1002/ldr.70164","url":null,"abstract":"Natural disasters, particularly, those occurring near mining areas, can damage the soil and lead to pollution, resulting in significant harm to the ecosystem. Timely and large‐scale investigation of soil composition in areas affected by geological disasters is crucial for monitoring pollution. With the traditional method, soil samples were mainly collected manually for the survey, which was extremely constrained in terms of efficiency and accuracy due to the complex topography of the areas where the geohazards had occurred. Using an unmanned aerial vehicle (UAV) with a hyperspectral camera to acquire hyperspectral images of soil, combined with machine learning algorithms for soil composition estimation, has the advantages of high efficiency and broad coverage. Meanwhile, the fusion of satellite imagery and UAV imagery has the potential to improve the accuracy of soil estimation models. In this study, we selected an area near a mine in Guilin, Guangxi, China, that had been affected by a mudslide caused by a geological hazard as the study area. Firstly, 30 soil samples were collected to test the total Zinc (Zn), total Lead (Pb), and total Cadmium (Cd) content in the soil. Second, the UAV hyperspectral images and Sentinel‐2 satellite images of the study area were obtained and preprocessed. Thirdly, the soil estimation model was generated using UAV images, Sentinel‐2 satellite images, and their fused data combined with deep learning algorithms, respectively. Finally, the model with the best accuracy was selected to generate a soil distribution map. The results show that after the fusion of UAV images and Sentinel‐2 images, the soil estimation model reached its highest accuracy, which is significantly improved compared with using UAV images and Sentinel‐2 image data alone. This shows that the fusion data of Sentinel‐2 images and UAV images, combined with deep learning algorithms, has advantages and can improve the ability of soil pollution monitoring.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"14 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072259","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":"Impacts of Soil Disturbed Depth on Variations in Soil Erosion and Solute Loss Processes","authors":"Jie Wang, Yi Xiong, Yujie Wei, Bangge Yang, Shaocong Ren, Yijing Huang, Chongfa Cai","doi":"10.1002/ldr.70103","DOIUrl":"https://doi.org/10.1002/ldr.70103","url":null,"abstract":"Soil erosion‐induced solute loss contributes to nonpoint source pollution (NPS). Existing NPS models employ a static effective mixing depth (&lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;e&lt;/jats:italic&gt;&lt;/jats:sub&gt;) for multi‐scale solute loss prediction, while fundamentally neglecting both the governing role of runoff layer depth (&lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;r&lt;/jats:italic&gt;&lt;/jats:sub&gt;) in solute transport dynamics and the spatiotemporally dynamic nature of &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;e&lt;/jats:italic&gt;&lt;/jats:sub&gt; itself. Bromide (&lt;jats:italic&gt;Br&lt;/jats:italic&gt;) has high solubility and low reactivity; therefore, this study employed Br as the solute, with KMnO&lt;jats:sub&gt;4&lt;/jats:sub&gt; and Br tracer methods used to quantitatively determine the dynamic variations of &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;r&lt;/jats:italic&gt;&lt;/jats:sub&gt; (0.04–0.59 cm) and &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;e&lt;/jats:italic&gt;&lt;/jats:sub&gt; (0.08–10.35 cm) under varying rainfall intensities (60, 90, and 120 mm h&lt;jats:sup&gt;−1&lt;/jats:sup&gt;) and overland flow rates (0, 1, and 2 L min&lt;jats:sup&gt;−1&lt;/jats:sup&gt;). The investigation focused on elucidating the effects of soil disturbed depth (&lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;s&lt;/jats:italic&gt;&lt;/jats:sub&gt;, comprising &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;r&lt;/jats:italic&gt;&lt;/jats:sub&gt; and &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;e&lt;/jats:italic&gt;&lt;/jats:sub&gt;) on soil erosion and solute loss processes. Additionally, runoff coefficient (&lt;jats:italic&gt;R&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;c&lt;/jats:italic&gt;&lt;/jats:sub&gt;), sediment concentration (&lt;jats:italic&gt;C&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;s&lt;/jats:italic&gt;&lt;/jats:sub&gt;), sediment yield rate (&lt;jats:italic&gt;S&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;y&lt;/jats:italic&gt;&lt;/jats:sub&gt;), &lt;jats:italic&gt;Br&lt;/jats:italic&gt; concentration in runoff (&lt;jats:italic&gt;C&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;Br&lt;/jats:italic&gt;&lt;/jats:sub&gt;), &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;r&lt;/jats:italic&gt;&lt;/jats:sub&gt;, and &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;e&lt;/jats:italic&gt;&lt;/jats:sub&gt; were determined at 2‐or 3‐min intervals. The power function effectively captures the temporal dynamics of &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;e&lt;/jats:italic&gt;&lt;/jats:sub&gt; and &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;r&lt;/jats:italic&gt;&lt;/jats:sub&gt; during rainfall processes. Significant differences were observed in soil erosion (including runoff initiation and sediment yield) and solute loss processes across different &lt;jats:italic&gt;D&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;s&lt;/jats:italic&gt;&lt;/jats:sub&gt; (&lt;jats:italic&gt;F&lt;/jats:italic&gt; &gt; 3, &lt;jats:italic&gt;p&lt;/jats:italic&gt; &lt; 0.01). &lt;jats:italic&gt;S&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;y&lt;/jats:italic&gt;&lt;/jats:sub&gt;, &lt;jats:italic&gt;C&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;s&lt;/jats:italic&gt;&lt;/jats:sub&gt;, and &lt;jats:italic&gt;C&lt;/jats:italic&gt;&lt;jats:sub&gt;&lt;jats:italic&gt;Br&lt;/jats:italic&gt;&lt;/jats:sub&gt; demonstrated incre","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"29 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072225","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 the Spatial Distribution of Soil Thickness in Karst Areas With Shallow Soils Using Dynamic Vegetation Characteristics","authors":"Qiuwen Zhou, Xinlan Yang, Yuan Li, Zhen Shen, Hezhen Lou, Yingzhong Luo, Dequan Zhou","doi":"10.1002/ldr.70074","DOIUrl":"https://doi.org/10.1002/ldr.70074","url":null,"abstract":"The spatial heterogeneity of soil thickness in karst regions characterized by extremely shallow soils is significant, making it challenging to accurately predict soil thickness using traditional environmental covariates such as topography, land use, and vegetation cover. This study applied three machine learning models—Gradient Boosted Tree (BOOST), Random Forest (RF), and Support Vector Machine Regression (SVR)—to the Huajiang area, a typical karst landscape with extremely shallow soils. The results indicate that when relying solely on traditional environmental covariates, all three models yielded low <jats:italic>R</jats:italic><jats:sup>2</jats:sup> values, with BOOST performing best at <jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.42, while RF and SVR recorded <jats:italic>R</jats:italic><jats:sup>2</jats:sup> values of 0.21 and 0.22, respectively. The root mean square error (RMSE) values for all models were high, approximately 20. However, incorporating remote sensing band data as additional covariates improved the accuracy of all three models. Further inclusion of dynamic vegetation characteristics as covariates led to additional enhancements in model accuracy, with BOOST achieving the best performance, resulting in an <jats:italic>R</jats:italic><jats:sup>2</jats:sup> of 0.74 and an RMSE of 13. Training each model 100 times and validating them demonstrated that the introduction of dynamic vegetation characteristics significantly enhances predictive performance across all machine learning models. Notably, the BOOST model exhibited the highest effectiveness, achieving <jats:italic>R</jats:italic><jats:sup>2</jats:sup> values around 0.7 across the 100 validations, with optimal accuracy attained at a tree number of 300 (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.7, RMSE = 14.9). In conclusion, the integration of dynamic vegetation characteristics substantially improves the prediction of soil thickness spatial distribution in karst areas with extremely shallow soils.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"56 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072258","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":"Beyond Yield: Balancing Grain Production and Regulatory Ecosystem Services in a Typical Black‐Soil Region of Northeast China","authors":"Yuanqing Wang, Ying Liu, Yanzhao Yang, Xinzhe Song, Yaohui Huang","doi":"10.1002/ldr.70172","DOIUrl":"https://doi.org/10.1002/ldr.70172","url":null,"abstract":"China's northeastern black‐soil region is vital for grain production (GP) and is an important ecological barrier in China. Population growth in China has increased the demand for grain, intensifying the competition between arable and ecological land, which may lead to the homogenization and degradation of ecosystem services (ESs) in the black‐soil region's spatial units. However, studies on the trade‐offs among ESs on high‐quality cropland, as well as the spatially explicit mechanisms driving these trade‐offs and synergies, remain insufficient, especially when considering subtle changes in cropland spatial units and environmental heterogeneity. This study investigated the trade‐offs and synergistic relationships between GP and regulatory ecosystem services (RESs) in Northeast China's black‐soil region from 2000 to 2020, and explored the impact mechanisms of these trade‐offs based on the Geodetector and MGWR method. The results showed that all four types of ESs improved over the 20 years, and the total amount of GP and sand fixation (SF) showed a significant upward trend. The relationship between GP and both carbon sequestration (CS) and soil conservation (SC) was mainly synergistic, while the relationship with SF showed a weak trade‐off. The trade‐off intensity between GP and RESs was influenced by multiple factors. Notably, the interaction between GP and CS exhibited a more pronounced dependence on Leaf Area Index dynamics, whereas the trade‐off intensity with both SC and SF was predominantly governed by land‐use intensity patterns. This study serves as a scientific basis for the stable development of regional GP and the optimization of ecological security.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"5 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145072260","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}