Land Degradation & Development最新文献

{"title":"Contributions of Vegetation Restoration to Soil Organic Carbon Sequestration in Deserts of China: A Meta-Analysis","authors":"Benmo Li,&nbsp;Dong Wang,&nbsp;Yujie Xue,&nbsp;Jihua Hou,&nbsp;Jingwen Li","doi":"10.1002/ldr.70820","DOIUrl":"10.1002/ldr.70820","url":null,"abstract":"<p>Vegetation restoration has been widely used to curb desertification in northern and central desert shifting sandy lands of China. However, the general pattern, variability, and drivers of its effects on soil organic carbon (SOC) remain unclear. Here, we conducted a meta-analysis by synthesizing 332 paired observations from 32 publications to quantify the effects of vegetation restoration on SOC and to examine whether they were regulated by restoration characteristics (methods and durations) and edaphic-climatic conditions in northern and central desert shifting sandy lands of China. Overall, vegetation restoration significantly increased SOC in shifting sandy lands at the regional scale, but the magnitude of SOC responses varied across restoration methods, restoration durations, soil depths, and desertification types. In particular, it was greatest in tree-planted areas compared to other vegetation restoration methods, followed by shrub-planted, herb-sown, and enclosed areas; it displayed a positive relationship with restoration duration. We preliminarily found that SOC responses were stronger in surface soil and deep subsoil, while relatively weaker in middle soil layers. In addition, SOC was most pronounced in deserts, followed by degraded grassland, transitional zone, and desert steppe types. Random forest modeling and structural equation modeling revealed that soil sand fraction was the primary driver of SOC responses, followed by mean annual precipitation and restoration method. Soil physical properties (e.g., sand fraction, bulk density) were closely associated with SOC responses, while climate factors and restoration duration exerted indirect correlative influences on SOC responses via modifying soil physical properties. Overall, our study illuminated the divergent multidimensional responses of SOC to vegetation restoration in shifting sandy lands in northern and central Chinese desert shifting sandy lands and identified soil sand fraction and mean annual precipitation as the major regulatory factors of SOC responses. These findings can provide a fundamental basis for achieving coordinated advancement of regional desertification control and national carbon neutrality goals.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10573-10584"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148633656","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":"Risk Assessment and Diagnosis Model for Real-Time Flood Control Operation of a Multi-Reservoir System","authors":"Juan Chen,&nbsp;Ruping Fu,&nbsp;Ruxia Deng,&nbsp;Jianjie Tong,&nbsp;Jun Zhang,&nbsp;Ping-An Zhong","doi":"10.1002/ldr.70780","DOIUrl":"10.1002/ldr.70780","url":null,"abstract":"<p>Real-time flood control operation of multi-reservoir systems is affected by multiple sources of hydrological and operational uncertainties, which increase the complexity of risk propagation and decision-making processes. Therefore, effective risk assessment and diagnosis are essential for supporting risk-informed flood control operation. This study develops a risk assessment and diagnosis model by coupling Copula theory with a Dynamic Bayesian Network (CDBN). The proposed model characterizes nonlinear dependencies and temporal evolution among continuous uncertainties and performs dynamic risk assessment and backward risk diagnosis at both single-reservoir and multi-reservoir scales. It enables the calculation of posterior exceedance probabilities of risk events and the identification of dominant risk contributors. The proposed method is applied to a multi-reservoir system in a large river basin in China. Results indicate that inflow uncertainty is the dominant contributor to reservoir overtopping risk at the single-reservoir scale, whereas operational discharge uncertainty plays a more significant role in downstream flood control risks at the multi-reservoir scale. Compared with the conventional Dynamic Bayesian Network, the DBN yields lower estimates of reservoir overtopping risk than the CDBN under medium and high water-level conditions. The CDBN improves the efficiency of risk quantification and effectively represents dependency relationships among uncertainties, providing a robust tool for risk-informed decision-making in real-time flood control operation of multi-reservoir systems.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10658-10671"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70780","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148768308","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":"Cropland Suitability–Use Mismatches and Differentiated Zoning Regulation in the North China Plain: Implications for Spatially Optimised and Sustainable Land Use","authors":"Congjie Cao,&nbsp;Huafu Zhao,&nbsp;Ziwei Wang,&nbsp;Shiqiang Bai,&nbsp;Jiacheng Qian,&nbsp;Xiaoxiao Wang,&nbsp;Tao Wang,&nbsp;Huiqin Han,&nbsp;Zhe Feng","doi":"10.1002/ldr.70799","DOIUrl":"10.1002/ldr.70799","url":null,"abstract":"<p>Cropland distribution is often shaped by historical cultivation patterns rather than natural suitability, leading to mismatches between actual land use and agricultural production potential. However, their extent and spatial characteristics remain insufficiently understood in the North China Plain, one of China's most important grain-producing regions. To address this issue, this study developed an integrated framework combining cropland suitability assessment, mismatch identification and management zoning. An optimised MaxEnt model was used to evaluate cropland suitability and a Farmland Utilisation Pressure Index was constructed to support differentiated management of mismatched cropland. Model optimisation substantially improved predictive performance, increasing the AUC from 0.686 to 0.859. High-suitability areas covered 19.81 × 10⁴ km², accounting for 25.83% of the study area and 84.75% of these areas were already under cultivation. High- and moderate-suitability areas were mainly concentrated in the central, eastern and southern plains. Despite the overall consistency between cropland distribution and suitability patterns, substantial suitability–use mismatches remained. Based on FUPI, mismatched cropland was classified into Retirement, Transition and Protection Zones, covering 1.19 × 10⁴, 1.76 × 10⁴ and 2.41 × 10⁴ km², respectively. This study provides a spatially explicit framework for identifying and regulating cropland suitability–use mismatches and offers scientific support for cropland optimisation and sustainable agricultural land management in the NCP.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10808-10823"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70799","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148459278","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":"Land Use and Land Cover Analysis for Solid Waste Management in NCT Delhi Using Fusion Aware Segformer","authors":"Rubeena Vohra,&nbsp;Ashish Kumar","doi":"10.1002/ldr.70788","DOIUrl":"10.1002/ldr.70788","url":null,"abstract":"<p>The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio-temporal variability, multi-sensor heterogeneity, and seasonal variations of highly dynamic urban environments. To address this problem, in this work, we propose a novel Fusion Aware SegFormer, which is an upgraded SegFormer based architecture featuring a Spatio-Temporal Encoding framework with a Hierarchical Transformer module, and a Temporal Gated Cross Attention (TGCA) module to maintain the temporal consistency for multi-temporal inputs. In this context, the Adaptive Contextual Atrous Spatial Pyramid Pooling (AC-ASPP) is the last layer, which further improves spatial representation and contextual information under various scales. The model was developed in Python and trained using Sentinel-2 and Landsat-8 imagery to overcome the challenge of using different sensors and time to learn the features. Experimental results indicate that the proposed method outperforms existing baseline methods with 94.6% pixel accuracy, 83.5% mean IoU, 0.86 temporal consistency score, 0.87 F1-score, and 0.84 Kappa coefficient. In addition to being accurate, the model can be used for temporal change detection, spatial transition matrices, hotspot analysis, and integration with the SWM infrastructure in Delhi and can be applied for sustainable urban planning and smart waste management.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10672-10696"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70788","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148564757","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":"The Relationship Between Human Activities and Ecosystem Service Supply–Demand From the Perspective of Land Use Transformation","authors":"Rongping Liang,&nbsp;Wei Wei,&nbsp;Xiaoxu Wei,&nbsp;Binbin Xie,&nbsp;Junju Zhou,&nbsp;Qiaolin Shu,&nbsp;Yongcheng Wang","doi":"10.1002/ldr.70795","DOIUrl":"10.1002/ldr.70795","url":null,"abstract":"<p>The equilibrium between ecosystem service supply and demand relationships (ESSDR) is essential for regional sustainable development. Understanding the relationship between human activity intensity (HAI) and ESSDR from the perspective of land use transformation (LT) is important for ecological management and governance. Based on multisource data, this study investigated the interactive relationships among HAI, LT, and ESSDR in China. The results showed that HAI was highly concentrated in urban agglomerations such as the Yangtze River Delta and the Pearl River Delta, whereas LT exhibited clear spatial heterogeneity. A Spatial Durbin Model incorporating the interaction term between HAI and LT, referred to in this study as the Spatial Durbin Moderation Effect Model (SDMEM), indicated that LT moderated the relationship between HAI and ESSDR by amplifying the negative impact of HAI on ESSDR, with a significant interaction effect (<i>β</i> = −0.938) and spatial spillover effect (<i>β</i> = 0.497). The multifactor analysis indicated that population density was the main driver, and its importance showed scale dependence. A differentiated governance framework was established based on bivariate local spatial autocorrelation and spatial Markov chain methods, namely restoration in the east, conservation in the west, and stabilization in the center. This framework provides a scientific basis for national land governance and regional ecological management in similar regions and countries.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10763-10783"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70795","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148459272","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":"Divergent Shift in Soil Microbial Communities Through Conversion From Forestland to Vineyards","authors":"Ning Wang,&nbsp;Tooba Mumtaz,&nbsp;Yuyao Yuan,&nbsp;Muhammad Farhan Qadir,&nbsp;Wenjian Shi,&nbsp;Hao Zhang,&nbsp;Siwei Shi,&nbsp;Xiangrui Xu,&nbsp;Bin Wu","doi":"10.1002/ldr.70741","DOIUrl":"10.1002/ldr.70741","url":null,"abstract":"<div>\u0000 \u0000 <p>Conversion of forestland to vineyards can substantially alter soil microbial communities, yet the ecological mechanisms underlying these shifts remain unclear in arid regions. Here, we compared forest and vineyard soils at two grape-growing sites in Xinjiang, China, using amplicon sequencing and metagenomics to examine microbial diversity, community composition, co-occurrence networks, assembly patterns, and nutrient-related functional genes. Relative to forest soils, vineyard soils showed reduced bacterial diversity and distinct shifts in both bacterial and fungal community composition. Bacterial communities were more strongly associated with soil total carbon (TC) and total nitrogen (TN), suggesting that increased resource availability and altered nutrient stoichiometry favored copiotrophic taxa and nitrogen-transformation functions. In contrast, fungal communities were more closely linked to soil phosphorus (P) and potassium (K), indicating distinct nutrient constraints and adaptation strategies between bacterial and fungal communities. Metagenomic analyses further revealed enrichment of bacterial genes involved in nitrogen cycling and fungal genes related to phosphorus and nucleotide metabolism in vineyard soils. These findings suggest that forest-to-vineyard conversion reorganizes soil microbial communities through domain-specific nutrient filtering and provides a mechanistic basis for nutrient management aimed at sustaining soil function in arid viticultural systems.</p>\u0000 </div>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10614-10625"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148633666","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":"Biochar Application Improves Chemical Properties and Nutrient Availability in Saline–Alkali Soils: A Meta-Analysis","authors":"Mukesh Kumar Soothar,&nbsp;Yuchun Yang,&nbsp;Yanbing Qi,&nbsp;Shah Jahan Leghari,&nbsp;Muhammad Iqbal Jakhro,&nbsp;Mahendar Kumar Sootahar,&nbsp;Jinwei Guo,&nbsp;Awais Shakoor","doi":"10.1002/ldr.70742","DOIUrl":"https://doi.org/10.1002/ldr.70742","url":null,"abstract":"<div>\u0000 \u0000 <p>Saline–alkali soils are a major global challenge because they degrade soil chemistry, reduce nutrient availability, and limit crop productivity. Despite increasing interest in biochar as a sustainable soil amendment, its overall effects on soil chemical properties under saline–alkali conditions remain inconsistent. Therefore, we conducted a meta-analysis of 113 peer-reviewed publications and 714 paired comparisons published between 2014 and 2025 to evaluate the effects of biochar on soil chemical properties in saline–alkali soils. Biochar significantly (<i>p</i> &lt; 0.05) increased soil organic carbon (SOC) (90.4%), available nitrogen (AN) (47.9%), available phosphorus (AP) (51.1%), available potassium (AK) (101.8%) and cation exchange capacity (34.1%) compared to the control. Biochar also reduced soil pH (1.5%), electrical conductivity (7.7%), and exchangeable sodium percentage (32.7%). In addition, it decreased soluble sodium (3.2%) and chloride (41.7%), while increasing soluble calcium (41.8%) and magnesium (24.0%). Furthermore, stalk-derived biochar applied at high rates (≥ 3%) showed the best performance, increasing SOC by 123%. Stalk- and wood-derived biochar feedstocks produced the greatest improvements in AK (165.9%), AP (66.1%), and AN (54.2%). Correlation analysis revealed that SOC was positively correlated with calcium (Ca²⁺) (<i>r</i>\u0000 ² = 0.038), magnesium (Mg²⁺) (<i>r</i>\u0000 ² = 0.298), and AP (<i>r</i>\u0000 ² = 0.061), while negatively correlated with AN (<i>r</i>\u0000 ² = −0.034). In summary, medium-temperature pyrolyzed biochar derived from stalk and wood feedstocks, when applied at higher rates, represents an effective and sustainable strategy for improving chemical properties and nutrient status in saline–alkali soils. These findings provide valuable insights for developing evidence-based biochar application protocols and formulating ecological restoration strategies for large-scale saline–alkali soil remediation.</p>\u0000 </div>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10626-10639"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148974964","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":"Optimizing Food-Energy-Water-Carbon Synergies Through Conservation Tillage and Organic Nutrient Management in Eastern Himalayan Rice–Pea System","authors":"Subhash Babu,&nbsp;Raghavendra Singh,&nbsp;Sanjeev Kumar,&nbsp;Anup Das,&nbsp;Amit Kumar,&nbsp;Ravikant Avasthe,&nbsp;Devideen Yadav,&nbsp;Khushboo Devi,&nbsp;Aastika Pandey,&nbsp;Sanjay Singh Rathore","doi":"10.1002/ldr.70570","DOIUrl":"10.1002/ldr.70570","url":null,"abstract":"<div>\u0000 \u0000 <p>Balancing economic returns and environmental outcomes is a global priority, making the development of a sustainable bioeconomy vital for greening agriculture and Sustainable Development Goals-linked targets. Thus, a 5-year field study was undertaken to develop a robust tillage and nutrient management model to improve system productivity and energy use efficiency while reducing the carbon and water footprints of the organic rice–pea system. Three tillage practices viz., zero tillage (ZT), reduced tillage (RT), and conventional tillage (CT), and four organic nutrient management practices (ONM), that is, ONM1 (FYM at 8 Mg ha⁻¹ for rice and 5 Mg ha⁻¹ for pea), ONM2 (FYM at 12 Mg ha⁻¹ for rice and 6 Mg ha⁻¹ for pea), ONM3 (vermicompost at 3 Mg ha⁻¹ for rice and 1.5 Mg ha⁻¹ for pea), ONM4 (FYM at 6 Mg ha⁻¹ + vermicompost at 1.5 Mg ha⁻¹ for rice and FYM at 3 Mg ha⁻¹ + vermicompost at 0.5 Mg ha⁻¹ for pea) were tested in a thrice-replicated split-plot design. The system productivity of the rice–pea system was the highest under ZT (8.65 Mg ha⁻¹) and ONM₄ (9.34 Mg ha⁻¹). The ONM4 resulted in 37.8% higher system productivity and 36.6% higher benefit–cost ratio over ONM1. The ZT and ONM4 were the most energy-efficient practices for the rice–pea system, registering 50.32% and 36.59% higher energy productivity, respectively, over CT and ONM₁. Furthermore, the ZT and ONM4 had the lowest water footprint. The ZT and ONM₄ curtailed the CF on the energy scale by 33.63% and 16.48% over CT and ONM₁ on unit economic gain, respectively. Moreover, the ZT + ONM₄ enhances the eco-efficiency index by 3.14-fold over CT + ONM1. Hence, ZT + ONM4 is a carbon cum energy-efficient and economically robust strategy for the sustainable organic rice–pea farming in the Eastern Himalayas.</p>\u0000 </div>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10600-10613"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148290400","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":"Ecological Functional Zoning and Multi-Scenario Prediction in the Core Economic Region of a Tropical Island: A Case Study of the Haikou Economic Circle, China","authors":"Wei Lin,&nbsp;Bin Li,&nbsp;Xuena Wan,&nbsp;Bijia Zhang,&nbsp;Liguo Liao,&nbsp;Shuhai Zhuo,&nbsp;Hong Yang,&nbsp;Zongzhu Chen,&nbsp;Yunfang Zhong,&nbsp;Jinrui Lei","doi":"10.1002/ldr.70794","DOIUrl":"10.1002/ldr.70794","url":null,"abstract":"<p>Ecological zoning, by accurately identifying regional ecological issues, supports the mitigation of ecological and environmental challenges brought by rapid urbanization. It plays a crucial role in advancing national ecological civilization and high-quality urban development. Taking the rapidly developing Haikou Economic Circle within the Hainan Free Trade Port as a case study, this research employs the Ecosystem Service Value (ESV) Equivalent Factor Method, Landscape Ecological Risk (LER) Index, and Cellular Automata (CA)–Markov models to analyze the spatiotemporal dynamics and spatial coupling of ESV and LER in the Haikou Economic Circle from 2010 to 2025. Based on this analysis, ecological zones are identified, and spatial changes in ecological zoning are simulated under different scenarios for 2030 and 2035. Results indicate that forest and cropland were the dominant land-use types in the study area from 2010 to 2025. Land-use changes during this period were characterized by continuous declines in forest and cropland, accompanied by sustained increases in construction land and unused land. The study area's ESV ranged from 37.775 to 38.603 billion yuan and was composed mainly of medium-to-low-value zones, accounting for approximately 92% of the total area. ESV exhibited a continuous declining trend from 2010 to 2025, with a total reduction of 828 million yuan. Similarly, LER was dominated by medium-to-low-risk zones and showed a sustained decreasing trend, with the area of low-risk zones expanding over time. The results of ecological zoning indicate that water land mainly correspond to the Ecological Protection Zone (high ESV–high LER, HH), while construction land mainly corresponds to the Ecological Improvement Zone (low ESV–low LER, LL), which are the main landscape types driving the positive spatial correlation between ESV and LER; forests mainly correspond to the Ecological Prevention Zone (high ESV–low LER, HL), reflecting their higher ecological service supply capacity and stronger risk resistance ability. Future scenario simulations show that compared with the natural development scenario (NDS), the management measures of the ecological protection scenario (EPS) can effectively slow down the trend of ecosystem service loss and increase in ecological risks.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10746-10762"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70794","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148633733","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":"From Salt-Affected Marginal Land Resource to Remediation Agent: Halophyte-Derived Biochar for Ameliorating Cd-Contaminated Acidic Soil","authors":"Shaoqing Ge,&nbsp;Zhenyong Zhao,&nbsp;Ke Zhang,&nbsp;Changyan Tian","doi":"10.1002/ldr.70800","DOIUrl":"10.1002/ldr.70800","url":null,"abstract":"<p>Cadmium (Cd) contamination of acidic soils poses a significant threat to ecosystem stability and crop health. This study evaluated the potential of biochar derived from the halophyte \u0000 <i>Salicornia europaea</i>\u0000 (SBC), a salt-tolerant plant that grows on saline-alkali marginal land, to remediate Cd-contaminated acidic soil. A pot experiment was conducted using acidic soil spiked with 3 mg kg⁻¹ Cd and amended with SBC at 0%, 1%, and 2% (<i>w/w</i>). The results showed that compared to the control, 1% and 2% SBC treatments increased the rhizosphere soil pH by 0.7 and 1.4 units, respectively, and significantly enhanced organic matter content and cation exchange capacity. In addition, these treatments reduced the concentration of available Cd in rhizosphere soil by 14.0% and 33.9%, respectively. Furthermore, biochar promoted plant growth and increased the photosynthetic rate, while Cd accumulation in plants was significantly reduced by 51.3% and 52.6%. Metabolomic analysis revealed that SBC upregulated the tryptophan metabolic pathway, with indoleacetic acid and 5-hydroxyindoleacetic acid being the predominant metabolites. Their accumulation in rhizosphere soil was associated with enhanced plant stress tolerance and growth. Although the soil electrical conductivity increased with SBC addition, no negative effects on plant growth were observed. These findings indicate that SBC can effectively immobilize Cd, improve soil quality, and facilitate plant growth in acidic contaminated soils, thus offering a promising strategy for sustainable remediation. This approach suggests a potential pathway for utilizing resources from marginal lands to remediate acidic contaminated soils, thereby contributing to sustainable land management and environmental protection.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"37 15","pages":"10824-10834"},"PeriodicalIF":4.0,"publicationDate":"2026-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.70800","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148564755","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}