Land Degradation & Development最新文献

{"title":"Comparison of Soil Organic Carbon Prediction Accuracy Under Different Habitat Patches Division Methods on the Tibetan Plateau","authors":"Yao Peng, Wei Zhou, Jieyun Xiao, Haotian Liu, Ting Wang, Keming Wang","doi":"10.1002/ldr.70184","DOIUrl":"https://doi.org/10.1002/ldr.70184","url":null,"abstract":"Soil organic carbon (SOC) plays an important role in soil fertility and the global carbon cycle. Therefore, accurate estimation of SOC is of great significance in carbon sink accounting and carbon sequestration increase. The accuracy and stability of models estimating SOC density (SOCD) tend to decrease because of the high spatial heterogeneity of environmental factors and SOC. However, research on how to improve model stability is limited. Therefore, this study investigated a strategy to divide a study area into different habitat patches using partitioning around medoids (PAM) clustering, land use type, and climate trend. In this approach, we selected optimal environmental covariates using recursive feature elimination (RFE). We then used three machine‐learning models to predict SOCD on the Tibetan Plateau. The results showed that (1) average SOCD in the 0–20 cm soil surface layer on the Tibetan Plateau was 4.85 kg C m<jats:sup>−2</jats:sup> and SOCD increased from northwest to southeast, which was consistent with previous reports. Areas with high SOCD tended to have high uncertainty. (2) The RFE feature selection method reduced the number of input variables used in the SOCD estimation model and improved the accuracy of predictions by combining machine‐learning models. Compared with the SVM model, the RF and XGBoost models performed better for SOCD estimation. (3) Habitat patches division based on land use type and PAM clustering did not perform as well as expected. The simulation accuracy based on climate trend division was slightly higher than that of global modeling for the whole study area. (4) Biological and climatic factors had a higher impact on the prediction of SOCD than other variables. This study characterized the spatial heterogeneity of SOCD well and can provide a valuable reference for regional carbon stock estimation and carbon management on the Tibetan Plateau.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"66 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035230","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":"Spatiotemporal Variation Characteristics of the Soil Organic Carbon Stock in the Huaihe River Eco‐Economic Belt From the 1980s to 2020s","authors":"Miaoying An, Haoxin Zhang, Yang Xu, Yanmei Dong, Siqi Yang, Shengyue Yu, Qiuliang Lei, Xinzhong Du, Hongbin Liu, Huiping Ou","doi":"10.1002/ldr.70132","DOIUrl":"https://doi.org/10.1002/ldr.70132","url":null,"abstract":"The Huaihe River Eco‐Economic Belt (HREEB), a vital grain‐producing region in China, contributes 11% of the nation's arable land and one‐sixth of its grain output. As an essential indicator of soil health, soil organic carbon (SOC) underpins long‐term productivity and ecological stability. However, the spatiotemporal dynamics of SOC stocks and the relative roles of climate and land management remain poorly quantified. This study investigated spatiotemporal changes in SOC stock in the HREEB (1980s–2020s), identified main SOC sequestration drivers, and proposed strategies for enhancing carbon stocks in sustainable agriculture. SOC stocks increased by 227.73 Tg over four decades, with an average sequestration rate of 220.30 kg C ha<jats:sup>−1</jats:sup> year<jats:sup>−1</jats:sup>, indicating the region's significant carbon sink potential. Spatially, SOC stocks were higher in the south and lower in the north, with south–north SOC density differences of 0.70, 0.57, and 1.04 kg m<jats:sup>−2</jats:sup> in the 1980s, 2010s, and 2020s, respectively. The soil pH, nitrogen input, mean annual temperature, and precipitation were the dominant explanatory variables, contributing 18.46%, 10.67%, 10.37%, and 8.05% to the explained variance in SOC density. Among these, soil pH and annual nitrogen fertilizer input showed highly significant negative correlations (<jats:italic>p</jats:italic> &lt; 0.01), as pH regulates SOC stability through mineral interactions, microbial community composition, and enzyme activity. Nitrogen input of 0.072–0.177 Mg ha<jats:sup>−1</jats:sup> accelerates SOC decomposition and contributes to carbon input via increased root exudates. Furthermore, both the mean annual precipitation and temperature were positively correlated with changes in SOC density, with the strongest association observed with precipitation (<jats:italic>p</jats:italic> &lt; 0.05). Therefore, managing soil pH, optimizing nitrogen use, and adapting to climate change are vital for enhancing the region's soil carbon sink and supporting sustainable agricultural development.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"62 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035236","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":"The Impact of Technological Innovation, Good Governance, and Green Energy on Water Stress in Developed and Developing Economies","authors":"Chao Gao","doi":"10.1002/ldr.70194","DOIUrl":"https://doi.org/10.1002/ldr.70194","url":null,"abstract":"The global community is making efforts to achieve sustainable development to address the menace of climate change and its associated impacts. One of the major challenges faced by the modern world is the sustainable management and use of water resources. Water stress and land degradation are the major concerns as they pose threats to environmental sustainability. The ongoing rapid drive of technological innovation has also contributed to climate change mitigation and adaptation efforts. Therefore, it is imperative to explore how technological innovations influence water resource management and conservation. This study examines the impact of technological innovation on water stress. For this purpose, it uses a large panel dataset covering the period from 2001 to 2022 across 85 developed and developing economies. Based on the statistical properties of the data, the Method of Moments Quantile Regression (MM‐QR) is employed for analysis. The results reveal that technological innovations (<jats:italic>INNOV</jats:italic>) increase water stress at lower quantiles but reduce it at higher quantiles. Agricultural output contributes to increased water stress, while good governance and green energy (<jats:italic>GE</jats:italic>) show a reducing effect on water stress. These results remain consistent across quantiles and are further validated through robustness analysis using Bootstrapped Quantile Regression (BS‐QR). The findings provide useful guidelines for policymakers and governments to align technological innovation policies with water management strategies.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"15 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035232","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":"Effect of Tank Silt Amendment, Integrated Nutrient Management, and Biofertilizers on Agronomic Productivity of Semi‐Arid Alfisols","authors":"Sumanta Kundu, Cherukumalli Srinivasarao, Rambilash Mallick, Jasti Venkata Naga Satya Prasad, Ashok Kumar Indoria, Venati Girija Veni, Gudapati Pratibha, Chokkakula Chandra Sekhar, Pravin Bhika Thakur, Kondru Venkateswara Rao, Mathyam Prabhakar, Kotha Sammi Reddy, Vinod Kumar Singh","doi":"10.1002/ldr.70191","DOIUrl":"https://doi.org/10.1002/ldr.70191","url":null,"abstract":"The harsh climate, land degradation, and poor resources are the principal causes of low productivity in the rainfed areas. A field experiment was conducted during the rainy and winter seasons of 2010–2015 (6 years) on maize‐horsegram cropping sequence to study the effect of soil amendment with tank silt, integrated use of chemical fertilizers and organic manure, and biofertilizers application on productivity, profitability, and changes in soil properties in degraded Alfisols of southern India. A total of 12 treatments were applied viz., &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;1&lt;/jats:sub&gt; = Control, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;2&lt;/jats:sub&gt; = Recommended dose of fertilizer (RDF), &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;3&lt;/jats:sub&gt; = 75% RDF + Phosphate solubilizing bacteria (PSB) + Azotobacter (AZ), &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;4&lt;/jats:sub&gt; = 75% RDF + Farm yard manure (FYM) @ 5 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;5&lt;/jats:sub&gt; = 75% RDF + FYM @ 5 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt; + PSB + AZ, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;6&lt;/jats:sub&gt; = 75% RDF + Tank Silt 30 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt; (Once in 3 years), &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;7&lt;/jats:sub&gt; = 75% RDF + Tank Silt 30 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt; + PSB + AZ, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;8&lt;/jats:sub&gt; = 50% RDF + PSB + AZ, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;9&lt;/jats:sub&gt; = 50% RDF + FYM @ 5 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;10&lt;/jats:sub&gt; = 50% RDF + FYM @ 5 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt; + PSB + AZ, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;11&lt;/jats:sub&gt; = 50% RDF + Tank Silt 30 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;, &lt;jats:italic&gt;T&lt;/jats:italic&gt;&lt;jats:sub&gt;12&lt;/jats:sub&gt; = 50% RDF + Tank Silt 30 Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;+ PSB + AZ. Significantly higher system yield (Mg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;) was observed in 75% RDF + tank silt + PSB + AZ (5.5) and 75% RDF + FYM + PSB + AZ (5.4) treatments compared to control and RDF. The performance of the maize crop during the rainy season, especially in the years with a higher number of dry spells, was better in the tank silt applied plots compared to the plots without tank silt application. The average maize yields under 75% RDF + tank silt + PSB + AZ were higher than the treatments 75% RDF + PSB + AZ and 75% RDF + FYM + PSB + AZ by 17.5% and 4.4%, respectively. Significantly higher uptake of N (100.9 kg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;), P (32.0 kg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;), and K (119.8 kg ha&lt;jats:sup&gt;−1&lt;/jats:sup&gt;) in maize was found in 75% RDF + tank silt + PSB + AZ. Higher crop response ratio (CRR) was recorded in 50% RDF + tank silt with biofertilizers treatment (31.19 kg yield kg&lt;jats:sup&gt;−1&lt;/jats:sup&gt; nutrient applied). Higher partial factor productivity for NPK (PFPf) was observed in 50% RDF + tank silt with or without biofertilizers treatments (40.7 kg yield kg&lt;jats:sup&gt;−1&lt;/jats:sup&gt; fertilizer nutrients applied). Significantly higher gross return (₹49,535 ha&lt;jats","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"41 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035234","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":"Grassed Waterways Reduce Soil Erosion in Rare Earth Tailings Through Runoff Moderation and Sediment Particle Sorting","authors":"Lichao Zhang, Qin Zhang, Jinwen Xia, Xuhua Huang, Taihui Zheng, Yuejun Song, Peilin Ge, Xiaomin Zhao","doi":"10.1002/ldr.70173","DOIUrl":"https://doi.org/10.1002/ldr.70173","url":null,"abstract":"Ganzhou City in Jiangxi Province, China, serves as a critical source and supplier of rare earth ions. However, rampant mining activities have resulted in severe soil erosion, persistent pollution, and serious land degradation. Grassed waterways offer substantial benefits in drainage, erosion resistance, and promoting sediment deposition. This study investigated the application of the waterways for soil conservation in rare earth tailings, focusing on how flow rate and slope gradient dynamically influence runoff processes, sediment transport, and particle sorting during multiple scouring events. The results showed that grassed waterways effectively reduced runoff rates and significantly controlled sediment yield. Both flow rate and slope considerably affected sediment yield, with slope exerting a more pronounced influence. Particle size distribution in waterways typically exhibited bimodal patterns under varying conditions, with dominant particles size of the 0–0.068 and 0.094–0.171 mm. Transport mechanisms, primarily suspension/saltation (&gt; 50%) and rolling, controlled these particle sizes, respectively, while coarse particles (&gt; 0.955 mm) were predominantly deposited. Grassed waterways enhanced particle separation by minimizing the loss of large particles, including both agglomerates and individual grains, thereby reducing overall sediment generation. This study provided valuable insights into the potential of waterways in mitigating runoff and sediment generation and optimizing deposition processes, offering practical implications for engineering applications.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"35 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035235","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":"A Review of Classification, Causes, and Amelioration of Global Salt‐Affected Soil Based on the Meta‐Analysis","authors":"Bing Liang, Jianbing Wei, Yukun Gao, Zhirong Ma, Xian Xue","doi":"10.1002/ldr.5619","DOIUrl":"https://doi.org/10.1002/ldr.5619","url":null,"abstract":"Soil salinization poses a significant threat to sustainable global agriculture, critically impacting plant growth, soil fertility, and ecosystem stability. This paper first provides a comprehensive overview of soil salinization, including its definition, types, classifications, global distribution, historical continuity, and associated environmental impacts. Then, we examine salinization's causes, processes, and mechanisms, offering an in‐depth classification of saline, sodic, and saline‐sodic soils. Through physicochemical analysis, it characterizes the unique challenges of different types of salinized soils. A meta‐analysis of 254 global case studies demonstrates that applying soil conditioners effectively ameliorates three kinds of salt‐affected soils. Specifically, gypsum application resulted in a 13.4% reduction in pH in saline soils and a significant (<jats:italic>p</jats:italic> &lt; 0.001) decrease in the exchangeable sodium percentage. Mixed conditioners reduced the exchangeable sodium percentage of sodic soils by 58.6% through synergistic effects. Biochar showed a pronounced effect in sodic soils, increasing soil organic carbon by 65.7%, with a minimal reduction in pH (4.0%). Importantly, mixed conditioners enhanced microbial biomass carbon in saline‐sodic soils by 68.8% and increased available phosphorus by 97.6%. However, gypsum application did not consistently decrease electrical conductivity (EC); in sodic soils, it led to a 21.0% increase in EC. Additionally, field experiments exhibited superior desalination performance relative to controlled laboratory conditions, with corresponding EC effect sizes of −0.26 and 0.04, respectively. Treatments exceeding 3 years in duration yielded more significant improvements than those lasting less than 3 years. Path analysis identified soil conditioner characteristics as the primary drivers of salt reduction, with the most substantial direct effect (path coefficient = −0.847, <jats:italic>p</jats:italic> &lt; 0.001), surpassing the influence of environmental factors and initial soil properties. Based on these findings, the paper proposes a soil‐type‐specific remediation framework, emphasizing the functional compatibility between soil conditioner properties and soil salinity characteristics. These findings establish a soil‐type‐specific remediation framework, guiding tailored conditioner selection to enhance ecological and agricultural sustainability in salt‐affected soil reclamation.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"33 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035231","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 Erodibility Characteristics of Gullies With Typical Plant Communities on the Loess Plateau of China","authors":"Rongchang Zeng, Guanghui Zhang, Xufei Su, Chengshu Wang","doi":"10.1002/ldr.70192","DOIUrl":"https://doi.org/10.1002/ldr.70192","url":null,"abstract":"Gully is widely developed over the world and becomes the major sediment source in small watersheds. With vegetation restoration, not only do the erosion type and intensity of the gully change and the morphology tend to be stable, but also the soil erodibility characteristics of the gully likely change considerably, attributed to the alternations in near soil surface characteristics of plant communities. However, few studies have focused on the variation in soil erodibility characteristics of gullies with different plant communities in semiarid regions. This study was carried out to determine the soil erodibility characteristics of gullies with typical plant communities and identify their dominant influencing factors on the Loess Plateau. Eight soil erodibility indicators (K factor (K), mean weight of diameter (MWD), mean number of drop impact (NDI), soil disintegration rate (SDR), soil cohesion (Coh), soil penetration resistance (PR), saturated hydraulic conductivity (K<jats:sub>s</jats:sub>), and soil structural stability index (SSI)) were measured or computed to quantify the soil erodibility of the topsoil layer (0–5 cm). A comprehensive soil erodibility index (CSEI) calculated from eight erodibility indicators was applied to systematically reflect the soil erodibility characteristics. The results revealed that the soil erodibility indicators of the gully changed significantly with plant communities. From grass to shrub and forest community, the K factor and SDR of the gully increased, while MWD, NDI, Coh, PR, K<jats:sub>s</jats:sub>, and SSI decreased. The gully with <jats:styled-content style=\"fixed-case\"><jats:italic>Robinia pseudoacacia</jats:italic></jats:styled-content> <jats:italic>Linn.</jats:italic> (RP) community had the maximum CSEI. Compared to the forest community, the CSEI of the gully with grass and shrub communities decreased by 31.2%–60.4%. Soil capillary porosity (SCP), soil organic matter content (SOM), and root mass density (RD) were the dominant factors affecting the soil erodibility of gullies. CSEI decreased linearly with increasing SCP, SOM, and RD. The grass community is the most effective in reducing the soil erodibility of gullies, owing to the crucial function of root systems in this process. The results revealed the impacts of plant communities on soil erosion in gullies, helping optimize vegetation restoration modes of gullies in semiarid regions.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"74 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035233","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":"Evaluating the Sustainability of Ecological Quality in Inner Mongolia Autonomous Region: Bridging the Millennium Development Goals and Sustainable Development Goals","authors":"Shuhui Lai, Xiaobing Li, Weiguo Jiang, Frank Yonghong Li, Haoran Wu, Ze Zhang, Zhuo Li","doi":"10.1002/ldr.70112","DOIUrl":"https://doi.org/10.1002/ldr.70112","url":null,"abstract":"Although both the Millennium Development Goals (MDGs) and the Sustainable Development Goals (SDGs) proposed by the United Nations have established clear indicator systems to promote the sustainable improvement of ecological quality (EQ), few existing studies have systematically conducted comparative studies and correlation analyses on the characteristics of EQ changes between these two periods. Therefore, this study takes the Inner Mongolia Autonomous Region (IMAR) as an example and innovatively proposes a research framework of remote sensing information extraction—spatio‐temporal evolution trajectory analysis—sustainability assessment—analysis of typical regional driving forces for EQ assessment. The results show that a spatial distribution of EQ in the IMAR features eastern dominance, western deficiency, and staggered in the center. Temporally, improvement was observed across 65.09% of the regional area. In terms of trajectory change, 32.56% of the area shows a positive trend in EQ, with a linear growth trajectory accounting for 58.48%. Ecological engineering and restoration policies in the SDGs stage have significantly improved EQ, successfully reversed the degradation trend in some areas in the MDGs stage, and are gradually working to meet the SDGs standards. Climatic factors play the pivotal role in determining the spatial configuration of EQ across the typical region. This study systematically analyzes the sustainability of EQ and the driving mechanism of spatial differentiation under the dual framework of MDGs and SDGs, offering critical decision‐making support for IMAR's sustainable development.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"24 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035237","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":"Spatiotemporal Heterogeneity and Driving Mechanisms of Ecological Quality Based on Modified Remote Sensing Ecological Index and XGBoost–SHAP Analysis","authors":"Xiaoxian Wang, Xia Wang, Xiuxia Zhang, Yujin Chen, Yunfei Zhao, Yadong Liu, Wenhui Duan, Yu Wang, Zhuoyun Cheng, Tao Zhou","doi":"10.1002/ldr.70166","DOIUrl":"https://doi.org/10.1002/ldr.70166","url":null,"abstract":"Ecological environment change is a critical issue in global environmental protection research. Understanding the spatiotemporal dynamics and drivers of regional ecological environment quality (EEQ) is essential to support sustainable ecosystem management. To evaluate the spatiotemporal dynamics of EEQ in the Qilian Mountain National Nature Reserve (QMNNR) from 1986 to 2023, this study constructed a modified remote sensing ecological index (MRSEI) using Google Earth Engine (GEE) and incorporated the patch‐generating land use simulation (PLUS) model. A coupled explainable machine learning model (XGBoost–SHAP), along with a multivariate regression residual approach, was used to quantify the contributions of climate variability and anthropogenic activities to EEQ dynamics. This study presents the following key findings: (1) the MRSEI effectively integrates information from multiple variables, enhancing model robustness for long‐term ecological monitoring; (2) from 1986 to 2023, EEQ in the reserve underwent overall improvement. A Moran's <jats:italic>I</jats:italic> index of 0.83 indicated significant spatial clustering along both latitudinal and longitudinal gradients; (3) under the natural development scenario, the PLUS model predicts that by 2035, the proportion of EEQ area classified as improved areas (20.46%) will be lower than that of degraded areas (21.60%); (4) climate change contributes only slightly more to EEQ variations in the reserve (50.11%) compared to anthropogenic activity (49.89%). The primary factors influencing EEQ are land use, followed by precipitation, temperature, population density, night lights, and geographic coordinates (longitude and latitude). This study provides novel insights into regional EEQ monitoring, driving factor analysis, and ecological environment protection strategies.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"310 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035262","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":"Current Status and Prospects of Vegetation Restoration on Landslides","authors":"Jian Feng, Guiming Wu, Xuechi Zhang, Zhihao Jiang, Yu Zhang, Fan Chen, Sheng Zhang","doi":"10.1002/ldr.70189","DOIUrl":"https://doi.org/10.1002/ldr.70189","url":null,"abstract":"Landslides are widespread geological hazards that significantly disrupt mountain ecosystems, causing soil degradation and vegetation loss. Vegetation restoration is crucial for improving local ecology and mitigating the effects of landslides. This paper evaluates the strengths and limitations of natural and artificial restoration practices, focusing on vegetation succession and soil development. It also explores the potential applications and methods of near‐natural restoration for landslide recovery. By integrating theoretical frameworks on community reconstruction with current landslide restoration practices, we discuss three key challenges in landslide vegetation restoration: the construction of soil stabilization, the identification of limiting factors, and the application of native species. In addition, this review highlights the beneficial roles of plant functional traits, soil improvement techniques, and species priority effects in landslide vegetation restoration. Ecosystem conservation and restoration have become critical in the face of increasing pressures from climate change and human activities. Linking vegetation restoration strategies with current plant and soil science will assist in the design and implementation of future ecological restoration efforts.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"66 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145035239","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}