Land Degradation & Development最新文献

{"title":"Establishing Artificial Grassland on Extremely Degraded Alpine Meadow Changes the Soil Fungal Community and Function in the Qilian Mountain Area","authors":"Wen Zhao,&nbsp;Ya-li Yin,&nbsp;Shi-xiong Li,&nbsp;Jiang-qin Song,&nbsp;Yi-ling Dong,&nbsp;Shi-feng Su","doi":"10.1002/ldr.5402","DOIUrl":"10.1002/ldr.5402","url":null,"abstract":"<div>\u0000 \u0000 <p>The establishment of artificial grasslands is a recognized method for restoring severely degraded alpine meadows, yet its impact on soil fungi remains poorly understood. To investigate the impact of artificial grassland establishment on soil fungal communities, we selected a typical 4-year-old artificial grassland as the research subject, with non-degraded and extremely degraded alpine meadows serving as controls. Soil fungal communities and functional groups were analyzed using Illumina sequencing of internal transcribed spacer (ITS) genes, and functional groups were predicted using the FUNGuild database. The results indicated that artificial grassland establishment had a significant impact on vegetation properties, while not affecting soil nutrient contents. Additionally, established artificial grassland significantly increased fungal diversity but did not alter the abundance of dominant phyla except Ascomycota. The ecological network analysis revealed that artificial grassland establishment (0.0910) markedly decreased fungal robustness compared to non-degraded (0.2040) and extremely degraded (0.1790), suggesting unfavorable soil conditions for fungal interactions. Moreover, vegetation properties (Shannon and Richness diversity indices) were the primary factors influencing soil fungal functional groups, communities, and ecological networks. Our findings indicate that the artificial grassland establishment rapidly restores vegetation but does not support the restoration of fungal communities.</p>\u0000 </div>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"36 3","pages":"919-931"},"PeriodicalIF":3.6,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968004","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":"Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Aera","authors":"Yongcheng Jiang, Fupeng Li, Yufeng Gong, Xiuyuan Yang, Zhenming Zhang","doi":"10.1002/ldr.5454","DOIUrl":"https://doi.org/10.1002/ldr.5454","url":null,"abstract":"Aims accurately predicting the spatial distribution of soil organic matter (SOM) is essential for environmental management and carbon storage estimation. However, the diversity of sources of variables poses a challenge in studying the spatial distribution of SOM. Methods in order to address this issue, we propose leveraging multiple environmental variables and employing machine learning models, specifically Lightweight gradient boosting machine learning (LightGBM) and random forest (RF), for predicting SOM spatial distribution. 128 soil samples were collected from the Caohai National Nature Reserve, and their SOM content was measured. Results the study found that the average SOM content was 36.75 g/kg. Compared to traditional linear regression models such as ordinary kriging (OK), ordinary least squares (OLS), and geographically weighted regression (GWR), the machine learning models based on nonlinear regression, LightGBM and RF, demonstrated higher cross-validated coefficients of determination (<i>R</i>²) of 0.62 and 0.60, respectively, outperforming the other models. Additionally, RF exhibited lower mean absolute error (MAE) and root mean square error (RMSE), indicating higher stability and generalization capability. The spatial distribution of SOM among the models showed consistency, with higher SOM content observed in southern and near-Caohai Lake regions and lower SOM content in northern and farther regions from Caohai Lake. Results from the Shapley additive explanations (SHAP) model highlighted agricultural land (AL), pH, and Elevation (ELV) as primary covariates influencing SOM spatial distribution. Conclusions this study provides valuable insights and support for environmental management and carbon storage estimation in the karst plateau region.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"29 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968002","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":"Moving Science Towards Operational Sustainability: The Use of Geospatial Decision Support Systems","authors":"F. Terribile, A. Basile","doi":"10.1002/ldr.5447","DOIUrl":"https://doi.org/10.1002/ldr.5447","url":null,"abstract":"Click on the article title to read more.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"204 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967970","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":"Responses of Soil Microbial Communities to Abandoned Paddy Fields With Different Fertilization Histories","authors":"Risheng Xu, Ke Li, Anlei Chen, Yanlong Chen, Rong Sheng, Chunlan Chen, Hongling Qin, Wenzhao Zhang, Yi Liu, Heriberto Vargas Rodríguez, Dheeraj Kanaparti, Baoli Zhu","doi":"10.1002/ldr.5464","DOIUrl":"https://doi.org/10.1002/ldr.5464","url":null,"abstract":"The abandonment of cultivated fields notably affects soil characteristics. However, its impact on soil microbial community composition, particularly under different fertilization regimes, remains poorly understood. Therefore, we evaluated the effects of abandoned paddy fields with different fertilization histories (no fertilization, NK, NP, and NPK) on the abundance, composition, and their predicted function of soil bacteria and fungi. Our findings revealed that the abandonment led to a considerable decrease in soil bacterial and fungal biomass. Fertilization history and abandonment each significantly affected on the bacterial community, resulting in increased relative proportions of Acidobacteria and decreased relative proportions of Proteobacteria in the NP and NPK treatments compared to those in the CK and NK treatments. The fungal community only exhibited a notable response to abandonment, with variations in the relative abundance of Ascomycota, Mucoromycota, and Basidiomycota. Canonical correspondence analysis revealed the significant association between soil bacterial community and pH, total phosphorus, and available phosphorus, whereas the pH and NO₃⁻–N were key drivers of fungal community variations in abandoned soils. Network analysis indicated that abandonment enhanced the complexity but decreased the stability of the bacterial community, while fungi exhibited the opposite trend. Our findings highlight that changes in bacterial functions caused by residual nutrients, particularly high residual phosphorus, may accelerate soil organic C decomposition. Overall, this study provides a novel insight into the shifts in soil bacterial and fungal communities and their ecological functions after the abandonment of cultivated fields.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"9 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968003","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 Mountain Microorganisms on the Growth and Development of the Bean Crop (Phaseolus Vulgaris L.) in the Municipality of Caldono, Cauca, Colombia","authors":"Efrén Venancio Ramos Cabrera, Yineth Camila Pabón Mondragón, Britney Gisell Yotengo Vargas, Andrés Felipe Solis Pino, Zuly Yuliana Delgado Espinosa","doi":"10.1002/ldr.5465","DOIUrl":"https://doi.org/10.1002/ldr.5465","url":null,"abstract":"Bean monoculture deteriorates soil fertility, decreases organic matter, reduces microbial diversity, and accelerates erosion, depleting nutrients such as nitrogen and phosphorus. This leads to dependence on chemical fertilizers and pesticides, increasing environmental pollution. A viable solution is mountain microorganisms, improving nutrient availability, disease resistance, environmental stress, and soil structure. However, there is a knowledge gap regarding their specific efficacy in supporting the growth and development of common beans (<i>Phaseolus vulgaris</i> L.) under specific agroecological conditions. This research aims to help fill this knowledge gap, so in the Municipality of Caldono, Cauca, Colombia, the effect of mountain microorganisms was evaluated in about 900 seeds of <i>Phaseolus vulgaris L</i>. variety Cargamanto. A randomized complete block design with three treatments was used: T0 (control, no inoculation), T1 (inoculation with mountain microorganisms for 1 h), and T2 (inoculation with mountain microorganisms for 3 h). Growth parameters such as plant height, number of nodules, number of pods per plant, number of seeds per pod, dry weight, and grain yield per hectare were evaluated. The results suggest that inoculation with mountain microorganisms significantly improved all measured parameters compared to the control samples. T2 consistently outperformed T1, indicating that more extended inoculation periods increase the efficacy of the parameters evaluated. These results suggest that applying mountain microorganisms is a promising and sustainable approach to improve bean productivity, which could reduce dependence on chemical fertilizers and promote more environmentally friendly agricultural practices. Thus, the study provides valuable information on mountain microorganisms as a biotechnological alternative to improve crop yield and soil health in bean monoculture systems.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"76 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968005","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":"Land Use Planning for Land Degradation Neutrality: Reflections and Critical Challenges","authors":"Helen Briassoulis","doi":"10.1002/ldr.5407","DOIUrl":"10.1002/ldr.5407","url":null,"abstract":"<p>Positing that land use planning (LUP) is both a technical and a political endeavor that should predominantly promote the preservation of the land-based natural capital, the present study aspires to first, constructively problematize the Scientific Conceptual Framework for Land Degradation Neutrality (SCF-LDN) approach and second, reveal the challenges of integrating LDN into LUP. This paper comprises four sections. The first briefly outlines and appraises the SCF-LDN approach and the second presents and deepens into the concept of LDN drawing on the broader concept of neutrality. The third section briefly presents LUP and the SCF-LDN guidance on LUP for LDN, examines how the SCF-LDN conception and guidance (LDN concerns for short) can be integrated in each stage of the (formal) LUP process, and identifies the main challenges that arise. A small fifth section sets the key question for LUP. The Conclusions recapitulate the discussion, reflect on the need for complementary and/or alternative socio-politically situated (context- and scale-sensitive) LUP and other processes to preserve the land-based natural capital and suggest avenues for future research. The main aim of this paper is to show, through an extensive critical review and an in-depth methodological analysis of the review outcomes, that land degradation neutrality is not as relevant and well justified in a planning context as often assumed, a problem exacerbated by its ambiguous definition. LDN, as a global requirement, can be retained to serve as a special exercise to support global assessments.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"36 3","pages":"975-1001"},"PeriodicalIF":3.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.5407","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940438","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":"Insights Into Earthworms and Fungi: Pioneering Roles in Mitigating Global Food Scarcity and Combatting Land Degradation","authors":"Sadashiv Chaturvedi, Amit Kumar, Liu Min, Khushi Mohan, Nikhilesh Singh, Rupesh Kumar","doi":"10.1002/ldr.5446","DOIUrl":"https://doi.org/10.1002/ldr.5446","url":null,"abstract":"Climate change significantly impacts terrestrial ecosystems by altering soil moisture, temperature regimes, rainfall patterns, and frequency of extreme weather events. These disruptions lead to shifts in soil community structures, accelerates land degradation processes, which in turn exacerbate the global food crisis. This review explores the roles of earthworms and fungi in improving soil health and mitigating food insecurity through their contributions to nutrient cycling, soil fertility, and plant growth. Earthworms and fungi recognized as key biological agents in nutrient cycling, soil structures enhancement, and carbon sequestration. They play crucial roles in heavy metal remediation, soil quality, fostering sustainable agricultural practices such as organic farming. The review emphasizes the influence of earthworms on nutrient dynamics, particularly in response to organic residues management, soil characteristics, and field conditions. Earthworm activity positively affects soil microbial communities, which in turn impacts plant growth, even under stress factors like soil contamination and temperature extremes. Review identifies key research gaps in the understanding of earthworm and fungi distribution, performance, and their capacity for soil remediation in varied agro-ecological contexts. In addition to biotic factors, present review also examines alternative food habits and superfoods as strategies to address zero hunger, aligning with the United Nations Sustainable Development Goals (SDGs) for zero hunger, poverty eradication, improved health, and overall well-being. By incorporating earthworms and fungi into agricultural systems and addressing critical research needs, there is significant potential to mitigate land degradation and contribute to the alleviation of global food crises.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"75 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940437","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":"Evolution Pattern and Frequency Coupling Relationship of Runoff and Sediment Under Changing Environmental Conditions: A Case Study of the Kuye River Basin in the Loess Plateau","authors":"Yaotao Xu, Peng Li, Jiajia Guo, Binhua Zhao, Jialong Liang, Jinjin Pan, Zixuan Yan, Kunxia Yu","doi":"10.1002/ldr.5463","DOIUrl":"https://doi.org/10.1002/ldr.5463","url":null,"abstract":"Conducting a comprehensive investigation into the interplay between runoff and sediment discharge in a dynamic environment is essential to uphold aquatic ecosystems and promote sustainable regional development of high quality. Initiated since the 1950s, extensive soil and water conservation projects in the middle reaches of the Loess Plateau, China, have resulted in a substantial reduction in runoff and sediment discharge. This reduction has prompted alterations in the dynamics between runoff and sediment discharge, impacting the frequency of their interactions. Analyzing measured data from the Kuye River Basin (Kuye Basin) in the middle reaches of the Yellow River for the period 1956 to 2019, this study investigates the evolving patterns of runoff and sediment discharge. Utilizing the Copula function, we analyzed the joint probability distribution characteristics of runoff and sediment discharge, aiming to identify the factors influencing their evolution patterns. The findings revealed a substantial downward trend (<jats:italic>p</jats:italic> &lt; 0.01) in both monthly and annual scales for runoff and sediment discharge in the Kuye Basin. Additionally, two abrupt changes were observed in 1979 and 1996, demonstrating multi‐timescale periodicity. Based on the mutation points, the study period was divided into three phases: P1 (1956–1978), P2 (1979–1995), and P3 (1996–2019). The optimal model for the joint distribution of runoff and sediment discharge is the Clayton Copula in both P1 and P2, while in P3, the optimal model shifts to the Gumbel Copula. Over the transition from P1 to P3, the runoff and sediment discharge in each recurrence period experienced a significant decrease, and the asynchronous probability of abundance encounters for runoff and sediment discharge at different design frequencies increased. Human activities, such as soil and water conservation measures, have influenced the variations in runoff and sediment discharge at different stages. With the passage of time, the effectiveness of current measures has approached saturation, resulting in cumulative values of nearly 28 × 10<jats:sup>9</jats:sup> m<jats:sup>3</jats:sup> for runoff and 4.4 × 10<jats:sup>9</jats:sup> t for sediment discharge, respectively. These research findings lay the groundwork for a deeper comprehension of the evolving dynamics between runoff and sediment discharge in the basin and contribute to the formulation of effective policies for soil erosion control.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"98 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142935479","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":"Food Productivity, Green Energy and Land Resources: A Critical Perspective of the BRICS Economic Food Production Industry","authors":"Zelin Yuan, Juan Li, Zehua Feng, Xiangdong Liu","doi":"10.1002/ldr.5461","DOIUrl":"https://doi.org/10.1002/ldr.5461","url":null,"abstract":"Food security and productivity is an essential part of sustainable development and goals which needs high attention because of the severity of climate risk and change. Therefore, we evaluated the food production index in BRICS economies through its leading determinants where the direct studies are missing in the literature. To address this gap, this research delves into the interplay between total natural resources (TNRNTS), economic growth (GDP), and the food production index (FPINDX) within the BRICS economies spanning from 1990 to 2022. This research also considers the significant impact of renewable energy (REC), research and development (RDEVP), and technological innovation (TI). This research employs a range of panel data techniques, encompassing first‐generation panel unit root tests. Both Kao residual and Johansen cointegration tests are employed to examine long‐run cointegration. The primary approach hinges on the utilization of panel ARDL. To ensure the robustness of the findings, FMOLS and quantile regression tests, encompassing both linear and nonlinear variations, are conducted. To investigate causality, the pairwise Dumitrescu Hurlin panel causality test is applied. The results reveal that the variables exhibit stationarity at the first difference, while a long‐run equilibrium relationship is observed among them. The empirical outcomes suggest that GDP, TNRNTS, and TI positively and significantly influence FPINDX, while REC and RDEVP reduce FPINDX in the short and long run. Robustness protocols provide similar and comparable outcomes to the main methods, while causal linkage reveals that TI has a bidirectional linkage with FPINDX, while the remaining variables have a unidirectional connection with FPINDX. Despite resource shortages, the role of cleaner technologies has a lower or negative influence on FPINDX. Policymakers should promote investments and innovations in renewable energy to enhance energy efficiency and productivity, reduce reliance on fossil fuels in the agricultural sector and increase the productivity of FPINDX.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"15 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142935483","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":"Identification and Revitalization Strategies of Rural Regional System Types Based on Human‐Land Coupling: A Case Study in the Loess Plateau, China","authors":"Yunxin Huang, Maoying Li, Lulu Qu","doi":"10.1002/ldr.5448","DOIUrl":"https://doi.org/10.1002/ldr.5448","url":null,"abstract":"The development state of rural regional system (RRS) offers an insight into relationship between human and earth in rural area. Identifying RRS types and making corresponding revitalization strategies are crucial for promoting rural sustainable development. Based on human‐land system science, type identification index system was constructed to identify types of RRS. Using 3197 township administrative units in China's Loess Plateau, principal component analysis and spatial cluster analysis methods were applied to analyze the dominant elements and identify RRS types. The findings reveal that: (1) Dominant factors influencing the development of the RRS development in the Loess Plateau are geographical basic conditions, ecological environment quality, agricultural development level, rural urbanization level, state of population development, and economic non‐agricultural level in order of leading role. These factors collectively constitute the foundational support and impetus for rural development and the multi‐body structure of RRS through their interactive and intercoupled effects; (2) The dominant factors show obvious spatial differentiation in space in the Loess Plateau, based on which RRS can be categorized into 4 primary zones and 10 secondary zones. The primary zones encompass the western plateau natural environment constrained area, the northern eco‐climate constrained area, the hilly ecological conservation constrained area, and the valley plain integrated development area; and (3) The rural development strategies for the Loess Plateau should follow the RRS spatio‐temporal differentiation law of “Pole–Field–Zone–Network” (PFZN), adhere to fundamental principles such as ecological priority and human–land coordination, and promote the development of rural leading industries, industries integrated development, and urban–rural integrated development according to classification and local conditions. Results can provide theoretical and practical reference for the formulation and implementation of regional rural revitalization strategy planning.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"28 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142935032","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}