Land Degradation & Development最新文献

{"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}

{"title":"Stakeholder‐Driven Spatial Targeting for Cultivated Land Consolidation: Managing Trade‐Offs Between Urbanization, Food Security, and Environment in China","authors":"Rui Sun, Xiaobin Jin, Bo Han, Xinyuan Liang, Xiaolin Zhang, Hanbing Li, Yinkang Zhou, Brett A. Bryan","doi":"10.1002/ldr.70056","DOIUrl":"https://doi.org/10.1002/ldr.70056","url":null,"abstract":"Over the past four decades, China has invested $298 billion in cultivated land consolidation (CLC), significantly boosting agricultural production, and food security despite rapid urbanization and cultivated land loss. However, the absence of a quantitative, spatially explicit evaluation of CLC potential that integrates local stakeholder perspectives from farmers, community, and decision‐makers has hindered the effectiveness and efficiency of CLC initiatives, constraining their ability to deliver enduring benefits for agricultural productivity and sustainability. We used a knowledge co‐production approach integrating spatial multi‐criteria analysis (MCA) with multi‐stakeholder engagement to evaluate CLC potential and identify priority areas in Jiangsu Province. We identified priority areas and considerations for CLC implementation to support the transition toward productive, sustainable agricultural systems, categorizing 813 townships into seven CLC priority types. Our analysis identified 41.82% of the area as being most suitable for resource improvement consolidation, 33.83% for pattern optimization consolidation, and 9.84% for utilization enhancement consolidation, with 14.51% designated for combined‐criteria consolidation. Additionally, 686 townships with low to very low CLC potential were identified as priority areas for protection and development. These spatially explicit results provide a robust foundation for regional prioritization, targeted investment, and stakeholder‐driven CLC planning. The methodology and findings of this study offer a replicable framework for stakeholder‐driven spatial planning in CLC both in China and more broadly, providing practical, spatially explicit plans for addressing critical trade‐offs between urbanization, food security, and the environment.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"52 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677405","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":"Tradeoff‐Synergy Dynamics Between Ecosystem Service Values in Mine Ecological Restoration Based on Land Transfer Change","authors":"Yizhi Hu, Wenxiong Wang, Yihao Meng, Zongbao Feng, Xiaoke Ji","doi":"10.1002/ldr.70090","DOIUrl":"https://doi.org/10.1002/ldr.70090","url":null,"abstract":"Exploring tradeoff‐synergy relationships between ecosystem service values (ESVs) is a key approach to evaluating the effectiveness of mine ecological restoration, which holds positive significance for harmonizing regional ecological management and human needs. Taking Dexing copper mine as the research area, based on revealing land transfer characteristics in the mine ecological restoration area, this study explores tradeoff‐synergy relationships between ESVs with different ecological functions. The results show that: (1) During the ecological restoration, the primary land transfer changes in the Dexing copper mine involved mutual conversions between forest and construction land and from construction land to cropland. The transition from construction land to cropland and forest exhibited distinct absolute and relative tendency patterns, respectively. (2) The ESVs in the Dexing copper mine showed a slight decrease at first and then a significant increase. The high ESV areas are mainly forest area and other types of ecological land, where no living, industrial, or mining activities have been conducted. The low ESV areas are mainly located in rural residential areas or mining areas and have remarkably decreased since 2018. (3) Synergy relationships dominated the interactions between different ecological functions of ESVs, while tradeoff relationships were observed only between FP and WRS. These findings provide foundational insights and references for ecosystem service management decisions in mine ecological restoration areas.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"12 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677497","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":"Spatial Cost–Benefit Analysis of Conservation Agriculture Implementation in Siliana Governorate, Northeast of Tunisia","authors":"Mohamed Arbi Abdeladhim, Fouzai Ayoub, Luuk Fleskens, Boubaker Dhehibi, Aymen Frija, Mourad Rekik","doi":"10.1002/ldr.70071","DOIUrl":"https://doi.org/10.1002/ldr.70071","url":null,"abstract":"An investigation was made into the efficiency of conservation agriculture implementation in Siliana governorate, northeast Tunisia, through a spatial cost–benefit analysis using the Desertification Mitigation Cost‐Effectiveness modeling approach (DESMICE). We defined the applicability limitations of conservation agriculture using biophysical and economic factors. Average incremental benefit was calculated based on observations of farmers who adopted conservation agriculture and extrapolated for each grid cell using environmental and economic factors. Finally, grid cell and aggregated net present values were calculated. Results showed that adopting conservation agriculture leads to a positive incremental benefit. More than 56% of the area showed a net present value higher than 6000 Tunisian Dinars per hectare (TND/ha). This value is significantly higher than the annual income of a farm worker paid at the guaranteed minimum agricultural wage (Approximately 5284 TND/year assuming 260 working days).","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"31 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669679","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":"Unraveling the Dual Impacts of Urbanization on Agricultural Habitats: A Telecoupling Perspective From Zhejiang Province, China","authors":"Liang Liu, Liang‐Jie Wang, Shuai Ma, Yanfang Hao, Haibo Hu, Jiang Jiang","doi":"10.1002/ldr.70075","DOIUrl":"https://doi.org/10.1002/ldr.70075","url":null,"abstract":"Urbanization exerts multifaceted pressures on agricultural systems by directly converting cropland into built‐up land and indirectly inducing cropland expansion elsewhere through displacement. However, most existing studies have narrowly focused on local land use/land cover changes, lacking an integrated understanding of how urbanization reshapes agricultural habitats through both direct and indirect pathways across regions. To address this gap, this study employs a telecoupling framework to assess the dual impacts of urbanization on agricultural habitats in Zhejiang Province, China. This study quantified cropland loss and cropland displacement driven by food production demand using land use/land cover conversion data, and applied a scenario‐based approach to distinguish the direct and indirect effects of urbanization on agricultural habitat quality. Between 2000 and 2020, built‐up land expanded by 158.09%, resulting in a 17.89% reduction in cropland. Urbanization directly caused a 15.44% loss in agricultural habitat and indirectly led to a 5.08% decline through the degradation of surrounding cropland. Although cropland displacement contributed to a 15.57% increase in agricultural habitat in other areas, these gains were achieved primarily at the expense of forested ecosystems and exhibited spatial mismatches with the original losses. These findings reveal that the indirect ecological responses to urbanization may partially counterbalance habitat losses locally, but also introduce potential trade‐offs and externalize ecological costs to distant landscapes. Our results highlight the importance of recognizing urban–rural teleconnections in land use planning and call for more integrative and spatially coordinated strategies to safeguard agricultural landscapes and biodiversity under ongoing urban expansion.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"14 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669680","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 Characteristics of Carbon Emissions in the Pearl River Basin, China: From the Perspective of Land Use and Biomass Burning","authors":"Lei Xia, Changxu Ren, Shuhao Li, Weijia Yang, Yongling Yang, Jie Li, Wenxuan Fan, Rui Liu","doi":"10.1002/ldr.70043","DOIUrl":"https://doi.org/10.1002/ldr.70043","url":null,"abstract":"The study of carbon emissions is crucial for climate change and sustainable development. The interaction between land use and human activities has a significant impact on the intensity of carbon emissions, and biomass burning generates carbon emissions by affecting the type of land use. Based on remote sensing data, including land use, nighttime lighting, and so forth, as well as carbon emission calculation methods for land use and biomass burning, we constructed a high‐resolution carbon emission grid for the Pearl River Basin, China (PRB) by combining land use and biomass burning carbon emissions (BBCE). The results reveal that forests, covering approximately 68% of the total area, are responsible for about 99% of the carbon absorption. Carbon emissions from construction land grew rapidly, with 85.15% of the increase in its area led to a 175.89% rise in its associated carbon emissions. Biomass burning is the main source of carbon emissions in the less economically developed counties of PRB. Furthermore, we applied an interpretable machine learning model (SHAP) to analyze the inequality of drivers across PRB. The results show that natural factors such as temperature have a more significant impact on carbon sink areas, while anthropogenic factors such as population have a more significant impact on carbon source areas. This study provides a spatial and temporal analysis of carbon emissions from land use and biomass burning in the PRB from 2001 to 2020. The assessment provides valuable insights for effective management and optimization strategies targeting land use carbon emissions within this basin.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"103 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669613","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}