Land Degradation & Development最新文献

{"title":"Soil Pore Size Distribution and Quality Indicators Affected by Land Use Change and Slope Position, Using Micromorphology Analysis in Southern‐West Iran","authors":"Shamsollah Ayoubi, Mohammad Reza Mosaddeghi, Maryam Yousefifard, Rouhollah Vafaeezadeh, Faezeh Shahpouri, Artemi Cerda","doi":"10.1002/ldr.70031","DOIUrl":"https://doi.org/10.1002/ldr.70031","url":null,"abstract":"Deforestation and intensive cultivation affect soil pore characteristics as indicator of soil quality/health, and slope position might have synergic effects on these changes. This study highlights importance of land degradation effects on soil health that attained data are valuable for offering tools to combat soil degradation in vulnerable landscapes. This study was conducted in three land uses in hilly regions of south‐west Iran to evaluate the combined effects of land uses including natural forest (NF), disturbed forest (DF), and cultivated land (CL) and slope effects (S<jats:sub>1</jats:sub> = 0%–10%, S<jats:sub>2</jats:sub> = 10%–20%, and S<jats:sub>3</jats:sub> = 20%–30%) on soil quality indicators and pore systems. In each treatment, three undisturbed soil samples were collected for micromorphological studies. Besides, disturbed soil samples were collected for chemical and physical analysis. The results showed that the slope position and land use had significant influences on soil quality indicators including soil organic matter (SOM), cation exchange capacity (CEC), and bulk density (BD), as well as soil pore characteristics. According to pore types, channels, and chambers as an indication of biological activities were dominant in the NF‐S<jats:sub>1</jats:sub> treatment, while the planes and vughs were dominant in the CL‐S<jats:sub>1</jats:sub> combination as an indication of the destruction of macro‐aggregates. The results of correlation analysis and multiple regression analysis showed that there were significant relationships between pore characteristics and soil properties such as SOM, BD, and CEC, confirming the simultaneous effects of slope position and land use. Further works are recommended to do tomography analysis as the reliable and reference method to estimate the uncertainty of this technique for monitoring soil pore characteristics. The findings underscore the need for slope‐sensitive land management to balance agricultural productivity and ecological resilience, aligning with global sustainability goals.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"48 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701602","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":"How Do Soil Properties Affect Soil Saturated Hydraulic Conductivity? Assessment and Prediction Based on Soils With Different Salinity and Sodicity in the Semi‐Arid Region of Northeast China","authors":"Run‐Ze Wang, Xin Zhang, Lu Zhang, Xue‐Jiao Luo, Zhao‐Yang Nie, Tie‐Yi Zhang, Jie Zhou, Le Ma, Fan Yang, Zhi‐Chun Wang","doi":"10.1002/ldr.70096","DOIUrl":"https://doi.org/10.1002/ldr.70096","url":null,"abstract":"Soil salinization represents a globally prevalent manifestation of soil degradation, characterized by structural deterioration and reduced saturated hydraulic conductivity (Ks). These alterations critically impair crop water uptake efficiency, ultimately threatening agricultural productivity. Despite extensive recognition of sodicity impacts, knowledge gaps persist regarding the differential mechanisms governing Ks limitation across soils with varying salinity‐sodicity gradients. This investigation focuses on the Songnen Plain, a saline‐sodic epicenter in Northeast China that serves as a representative model for analogous global ecosystems. We systematically identify the primary constraints and mechanistic pathways regulating Ks suppression in these degraded soils. Our analyses reveal significant inverse correlations between Ks and both salinity and sodicity parameters, with spatial patterns demonstrating elevational controls: lower‐lying plains exhibited elevated sodicity and depressed Ks values, whereas Ks increased with elevation gain. Mechanistic investigations implicate exchangeable sodium accumulation on colloidal surfaces as the fundamental driver of Ks reduction through two synergistic pathways: (1) led to an increase in soil salinity and total alkalinity, and (2) colloidal dispersion disrupting aggregate stability and pore architecture. Quantitative path analysis identified soil texture and macroaggregate depletion (WSA<jats:sub>&gt; 0.25</jats:sub> mm) as dominant physical regulators, while sodicity‐mediated pH shifts emerged as principal chemical constraints. Notably, Ks exhibited hysteresis in response to sodicity changes—initial sodicity increases caused aggregate breakdown with limited Ks decline, whereas subsequent sodicity elevation triggered clay dispersion and dramatic Ks collapse. These findings propose a dual intervention strategy: targeted pH reduction through mineral amendments coupled with organic management practices to enhance aggregate stability, providing a mechanistic framework for Ks restoration in sodic landscapes.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"73 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701785","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":"Keystone and Shared Taxa of Rhizosphere Bacteria and AMF Drive Leymus chinensis Biomass in Grazing Exclusion Grasslands","authors":"Peiran Guo, Bingbing Jia, Jiaying Lin, Wei Guo","doi":"10.1002/ldr.70092","DOIUrl":"https://doi.org/10.1002/ldr.70092","url":null,"abstract":"Grazing exclusion is a fundamental measure in current grassland nature‐based restoration practices. Native plants and the core microbiome are key for grassland restoration, but the rhizosphere core microbiome of <jats:italic>Leymus chinensis</jats:italic> grassland after long‐term grazing exclusion is poorly studied. We examined the bacterial communities and arbuscular mycorrhizal fungi (AMF) communities across 12 samples of <jats:styled-content style=\"fixed-case\"><jats:italic>L. chinensis</jats:italic></jats:styled-content> rhizosphere from a long‐term grazing exclusion area. The assembly of bacteria is dominated by deterministic processes (|β‐NTI| &gt; 2: 63.64%, MST &lt; 0.5: 84.85%), and AMF is dominated by stochastic processes (|β‐NTI| &lt; 2: 60.61%, MST &gt; 0.5: 56.06%). Compared to AMF, the bacterial community exhibits significantly higher stable (robustness: 0.1937–0.2875), stress‐resistant (reciprocal of the vulnerability: 25.613–100.804), and cohesion (1.4232–1.5815) community structure characteristics after long‐term grazing exclusion. We selected keystone, shared, specialist, and generalist taxa in the rhizosphere bacteria and AMF communities, and verified that the selected microbial taxa were all significantly and positively correlated with the biomass and nitrogen and phosphorus uptake of <jats:styled-content style=\"fixed-case\"><jats:italic>L. chinensis</jats:italic></jats:styled-content>. We demonstrated that the shared taxa and keystone taxa of bacteria, and the shared taxa of AMF, significantly contribute to the biomass of <jats:styled-content style=\"fixed-case\"><jats:italic>L. chinensis</jats:italic></jats:styled-content>. Among the 10 selected core microbial taxa mentioned above, the relative abundance of five bacterial genera and two AMF OTUs all exceeds 1%. Therefore, when utilizing the core microbiome for grassland restoration, high‐abundance keystone and shared microorganisms in the rhizosphere of native plants should be given special attention, as they have higher potential in promoting the growth of plants and the restoration of degraded grasslands.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"98 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144684563","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":"Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning: A RSME Approach","authors":"Yaniza Shaira Zakaria, Mohd Fadzil Akhir, Aidy M. Muslim, Nur Afiqah Ariffin, Azizul Ahmad","doi":"10.1002/ldr.70087","DOIUrl":"https://doi.org/10.1002/ldr.70087","url":null,"abstract":"An accurate estimation of aboveground biomass (AGB) density is essential for effective forest management, carbon stock monitoring, and informed land management decisions. This study employs remote sensing datasets and collaborative efforts with ArcGIS to model AGB density across the Terengganu region. Integrated with the random forest algorithm in the Google Earth Engine for AGB density modeling at a spatial resolution of 1 km, the methodology incorporates GEDI Level 4, Sentinel‐1 radar, Sentinel‐2 optical imagery, and elevation/slope maps. The validation results indicated a root mean square error (RMSE) of 51.35 t per hectare and an average training error of 31.82 t per hectare, demonstrating the model's accuracy and reliability. The model's strong predictive performance (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> = 0.77) implies that the independent variables accounted for 77% of the variability in the AGB. With a standard deviation of 64.52 t per hectare, the average AGB in the Terengganu area was 90.94 t per hectare, with AGB values ranging widely from 16.89 to 206.99 t per hectare across the region. These findings highlight the potential of integrating multiple remote sensing data sources for comprehensive AGB density mapping, thereby enhancing the monitoring of forest carbon stocks and fostering informed management approaches. This study underscores the importance of open‐access data and cloud‐based technologies, thereby supporting the availability of tools to implement comparable projects. This research illustrates the significance of combining different datasets and machine learning techniques for the remote assessment of forest biomass, thereby facilitating the improved modeling of ecosystem characteristics and sustainability initiatives. By emphasizing the need for advanced technologies and collaborative strategies, this study enhances forest biomass assessments and supports informed environmental management practices.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"16 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144684569","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 Microhabitat on Seedling Recruitment of the Pioneer Shrub Pyracantha fortuneana in Subtropical Rocky Outcrop‐Rich Areas: Implications for Degraded Karst Shrubland Restoration","authors":"Jia Wang, Yanhong Zheng, Xiaoyong Dai, Xiansong Zhang, Jianfei Yu, Guangcai Chen, Liang Xue, Sheng Li","doi":"10.1002/ldr.70079","DOIUrl":"https://doi.org/10.1002/ldr.70079","url":null,"abstract":"Human activities have led to widespread bedrock exposure and vegetation degradation in subtropical karst ecosystems. In these degraded landscapes, the effects of fragmented rock‐soil microhabitats on species regeneration remain poorly understood, particularly in terms of their influence on seedling recruitment. We hypothesized that variations in rocky microhabitats impact seedling establishment by modifying hydrothermal micro‐conditions, thereby shaping recruitment outcomes. This study aims to evaluate the impact of heterogeneous microhabitats on seedling recruitment of the pioneer and dominant shrub <jats:styled-content style=\"fixed-case\"><jats:italic>Pyracantha fortuneana</jats:italic></jats:styled-content>, and to provide insights for a more effective restoration strategy in rocky outcrop‐rich sites. We conducted year‐long monitoring to quantify each recruitment stage—seed germination, seedling emergence, survival, and seedling growth—across four typical microhabitats: rocky gully (RG), rocky pits (RP), earth flatland (EF), and bare land (BL), through seed burial and sowing trials. Additionally, soil temperature and moisture, air temperature and humidity, and photosynthetically active radiation were monitored during recruitment stages. Results show that no significant differences were detected in final germination across the four microhabitats, whereas RG and EF exhibited significantly higher survival rates and lower seedling biomass compared to BL. This indicated that post‐emergence, rather than seed germination, was significantly influenced by heterogeneous microhabitat. Seedling emergence and survival were positively regulated by patch soil moisture, whereas seedling growth was negatively impacted by soil moisture and positively influenced by temperature. This finding highlights the importance of integrating microsite selection and post‐emergence hydrothermal regulation interventions in shrubland management, especially in the early stages of seed‐based restoration.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"110 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144684551","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":"Key Factors for the Rapid Cultivation of Lithophytic Moss Crusts and Preliminary Trials in the Ecological Restoration of Rocky Slopes","authors":"Jin Fan, Chun Wang, Chongfeng Bu, Xiangzhou Chen, Heming Wang, Qiuxia Mo, Zhiquan Zhang, Yongtai Zeng, Hao Li","doi":"10.1002/ldr.70059","DOIUrl":"https://doi.org/10.1002/ldr.70059","url":null,"abstract":"The cultivation and inoculation of lithophytic moss crusts represent a potential pathway for the ecological restoration of rocky slopes. At present, the key factors influencing rapid cultivation are not well understood, and ecological restoration practices remain at the conceptual stage. In this study, based on the investigation of moss diversity in the northern foothills of the Qinling Mountains, we selected <jats:styled-content style=\"fixed-case\"><jats:italic>Brachythecium plumosum</jats:italic></jats:styled-content>, a dominant moss species, for incubator experiments to explore the inoculation density (20 g·m<jats:sup>−2</jats:sup>, 60 g·m<jats:sup>−2</jats:sup>, 100 g·m<jats:sup>−2</jats:sup>), moss stem and leaf fragment length (1–3 mm, 3–6 mm, 6–9 mm), and substrate type (kaguma soil, peat soil, volcanic rock) on moss crust growth. Meanwhile, an outdoor artificially constructed rocky slope was utilized to examine the response of moss crust restoration on rocky slopes to inoculation methods (dry broadcasting, wet blending), substrate particle sizes (&lt; 1 mm, 1–2 mm, &gt; 2 mm), gauze additions, and exogenous microorganisms (<jats:styled-content style=\"fixed-case\"><jats:italic>Bacillus megaterium</jats:italic></jats:styled-content>, <jats:styled-content style=\"fixed-case\"><jats:italic>Chlorella vulgaris</jats:italic></jats:styled-content>). The results showed that (1) in an artificial incubator (constant environment), medium inoculum, short stem and leaf fragments, and volcanic rock substrate were more conducive to the rapid development of moss crusts. Moss coverage, plant height, and plant density reached 50.28%, 5.64 mm, and 52 stems·cm<jats:sup>−2</jats:sup>, respectively, in the 60 g·m<jats:sup>2</jats:sup> + 1–3 mm gametophyte fragments + volcanic rock treatment; (2) Moss coverage, plant height, and plant density of dry broadcast inoculation were significantly higher than those of wet blend inoculation, but the addition of <jats:styled-content style=\"fixed-case\"><jats:italic>B. megaterium</jats:italic></jats:styled-content> and <jats:styled-content style=\"fixed-case\"><jats:italic>C. vulgaris</jats:italic></jats:styled-content> did not produce significant differences; the addition of gauze cushion and substrate (particle size &lt; 1 mm) contributed to rapid establishment and improved survival rates of moss crusts on rocky slopes. In summary, we identified the key factors for the rapid cultivation of lithophytic moss crust, preliminarily verified its feasibility as an ecological restoration measure for rocky slopes, and provided methodological references and new perspectives for the restoration of bare rock landscapes.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"14 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677403","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":"Attention Convolutional Neural Networks and Long Short‐Term Memory Model: Unveiling Spatiotemporal Dynamics of Ecological Indicators in Yili Mining Area","authors":"Gensheng Li, Honglin Liu, Junjiang Liu, Zhuo Wang, Keyan Guo, Tenghao Wang, Wenjuan Wang","doi":"10.1002/ldr.70000","DOIUrl":"https://doi.org/10.1002/ldr.70000","url":null,"abstract":"Mining activities disrupt the ecosystems, causing soil erosion and landscape degradation. In this study, fractional vegetation cover (FVC), remote sensing ecological index (RSEI), and land cover (LC) were selected as indicators. The spatiotemporal variation and spatial autocorrelation were revealed by analyzing FVC, RSEI, and LC in the Yili of China. The impacts of climate conditions, human activities, and their interactions were discussed by attention convolutional neural networks (CNN) and Long Short‐Term Memory (LSTM) models. The results showed that (1) The attention CNN‐LSTM model significantly outperformed other models, achieving an accuracy of 0.734 (FVC), 0.721 (RSEI), and 0.978 (LC). (2) The model predicted the FVC and RSEI in 2024 to be 0.580 and 0.563. (3) By integrating an attention mechanism, the proposed model dynamically prioritizes critical spatiotemporal features, significantly enhancing prediction accuracy in imbalanced datasets. The findings highlight the potential of advanced deep learning frameworks for analyzing large‐scale remote sensing data.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"5 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669678","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":"Recalcification‐Driven Restoration of Degraded Calcareous Soil for Metal Sequestration: Insights From Soil Solution Chemistry Dynamics","authors":"Yanling Zhao, Dan Cui, Shiqi Wei, Jingjing Su, Jieqiong Su, Yahu Hu","doi":"10.1002/ldr.70094","DOIUrl":"https://doi.org/10.1002/ldr.70094","url":null,"abstract":"Human‐induced carbonate depletion in the tillage layer of calcareous soils transforms critical metal sinks into significant pollution sources. This study compared the efficacy of agricultural/industrial byproducts (eggshell powder, shell powder, and sugar beet factory lime [SBFL]) versus natural lime materials (calcite and dolomite) for cadmium (Cd) and lead (Pb) immobilization during the recalcification of degraded calcareous soils. Analysis of soil solution chemistry revealed that SBFL uniquely combined pH elevation across all stages (0.12–1.16 units) with elevated dissolved organic carbon (DOC) concentrations at the seedling and jointing stages (145%–472% increase) to achieve dual Cd‐Pb stabilization. Principal component analysis identified distinct immobilization mechanisms: Cd immobilization was primarily pH‐driven via precipitation and co‐precipitation with calcium, whereas Pb stabilization relied on DOC‐mediated complexation under high pH conditions, effectively suppressing the reductive dissolution of iron and manganese oxides. Consequently, SBFL outperformed the other amendments, reducing root Cd/Pb concentrations by 11.8%–56.6% and enhancing wheat biomass by 25.9%–55.4% compared with the unamended control. These findings highlight the significant potential of industrial byproducts like SBFL to restore degraded calcareous soils through distinct geochemical pathways, reconciling crop productivity with metal sequestration.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"11 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669649","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":"Two Decades of Ecological Quality Evolution Along the Sichuan‐Tibet Highway: Improvement, Localized Degradation and Grazing Intensity Dominating Changes Post‐2010","authors":"Zhenghe Liu, Erfu Dai, Shuo Xing, Liang Zhou","doi":"10.1002/ldr.70078","DOIUrl":"https://doi.org/10.1002/ldr.70078","url":null,"abstract":"The environmental quality and soil erosion dynamics of the eastern margin of the Tibetan Plateau are vital to regional sustainability, since it is an ecologically sensitive area. In this study, we combined the Remote Sensing Ecological Index (RSEI) and Modified Universal Soil Loss Equation (RUSLE) model to develop a Composite Ecological Quality Index (CEQI). This approach was used to examine the spatio‐temporal distribution patterns and driving factors of ecological quality and soil erosion in the transition zone from the Tibetan Plateau–Hengduan Mountains to Chengdu Plain, over the past 20 years (2000–2020). The CEQI results showed a 24% improvement in the study area's ecological quality, and a major east–west gradient difference was observed, with the eastern plains experiencing significant improvements as a result of China's Grain‐for‐Green Project. Moreover, the central and western high‐altitude areas experienced environmental degradation due to the impact of human activities, such as grazing intensity and changes in natural factors that caused the RSEI to decrease by 10%. This study also found a 2.61% increase in soil erosion modulus, with severe erosion concentrated in the Qamdo–Nagqu area where the interaction between climate change and topography was a key driver in the spatial differentiation. The optimal parameters‐based geographical detector (OPGD) and random forest model (RFM) further showed that precipitation, temperature, and land use dominated changes in environmental quality before 2010. The combined effects of grazing intensity, temperature, and precipitation explained the changes in ecological quality after 2010 with the government's implementation of environmental policies.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"13 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677510","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 Climate Change on the Interaction Between Soil Organic and Inorganic Carbon in Global Drylands","authors":"Yuanyuan Li, Binbin Li, Jianle Zhang, Wantao Zhang, Mingxiang Xu","doi":"10.1002/ldr.70081","DOIUrl":"https://doi.org/10.1002/ldr.70081","url":null,"abstract":"In dryland ecosystems, soil inorganic carbon (SIC) is as important as soil organic carbon (SOC), with both playing vital roles in carbon sequestration and ecosystem stability. However, most previous studies have primarily focused on the impacts of climate change on SOC, leading to a limited understanding of SIC dynamics and SOC‐SIC interactions. In this study, we integrated 1131 paired SOC and SIC observations from 169 sites across global drylands following vegetation restoration and investigated the effects of current and future climate change on the SOC, SIC, and the ratio of SIC to SOC (SIC/SOC). The results indicated that subsoil SOC (20–100 cm) in shrubs was significantly lower than in forests and grasslands, while the SIC/SOC was significantly higher. A significant positive correlation was observed between SOC and SIC (<jats:italic>p</jats:italic> &lt; 0.05). Along the precipitation gradient, the rate of SIC increase was 1.29 times greater than that of SOC in topsoils (0–20 cm) and 4.86 times greater in deeper soil layers (&gt; 100 cm). Similarly, along the temperature gradient, the increase in SIC was 0.96 times greater than that of SOC in topsoils and 3.5 times greater in deeper soils. Structural equation modeling (SEM) revealed that climatic factors influence SOC, SIC, and SIC/SOC both directly and indirectly, with pH, total nitrogen (TN), and sand content serving as key mediating variables. Under different climate change scenarios, we observed a wide range of changes in SOC and SIC across soil depths, highlighting substantial uncertainty in predicting future SIC/SOC dynamics. Under the SSP126 scenario, SOC increased by 23.7%–66.6% across various soil depths, while SIC decreased by as much as 68.5% in the topsoil under SSP370. Our study highlights the importance of balancing SOC and SIC, advancing a comprehensive understanding of soil carbon dynamics, and providing critical scientific support for addressing climate change in dryland ecosystems.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"25 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677498","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}