Land Degradation & Development最新文献

{"title":"Distribution, Sources, and Heavy Metal Interactions of Microplastics in Groundwater and Sediment of Semi-Arid Regions of Northwest India","authors":"Sunil Kumar, Ameen Musfir, Sahil Kaushal, Kumar Ajay, Vijay pal Meena, Balasubramanian Karthick, Ambili Anoop","doi":"10.1002/ldr.5613","DOIUrl":"https://doi.org/10.1002/ldr.5613","url":null,"abstract":"Microplastic (MP) pollution is a growing public health concern, yet its presence in groundwater, a critical potable water source, remains underexplored. This study investigates MPs in groundwater from open and closed well systems, as well as in sediment samples, in the semi-arid region of Didwana-Kuchaman, Rajasthan, Northwest India. The MPs, identified using a fluorescence microscope, were ubiquitous at all sampling sites, with groundwater concentrations ranging from 3 to 122 particles/L (average = 35.46 particles/L) and sediment abundance ranging from 170 to 1140 particles/kg (average = 505.52 particles/kg). Morphologically, beads/pellets within the 20–200 μm size range dominated the MP samples, while polyethylene and polystyrene were identified as the dominant polymer types. A significant positive correlation (<i>r</i> = 0.65) between MP concentration in the sediment and open-well samples was noted, with the highest values observed near landfills and agricultural areas. Heavy metals (HMs) concentrations (ppb) in groundwater samples were ranked in the following order: As (396.11) &gt; Mn (280.18) &gt; Zn (184.67) &gt; Co (71.8) &gt; Ni (60.56) &gt; Pb (24.24) &gt; Cr (1.26). The hazard quotient derived for both children and adults indicates As &gt; Mn &gt; Pb &gt; Co, significantly above the acceptable threshold (HQ &gt; 1), suggesting a considerable contamination risk. Although no significant correlation was observed between MPs and HMs in the water samples, SEM–EDX analysis revealed the adherence of HMs, including Ni, As, Co, Cr, Zn, Mn, and Pb, to MP surfaces, suggesting potential interactions and co-transport mechanisms. The results underscore the concerning co-occurrence of MPs and HMs in groundwater, raising alarming concerns about potential synergistic health effects. This study highlights the urgent need for comprehensive risk assessments and mitigation strategies addressing MP and HM contamination in critical groundwater resources.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"20 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144122806","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":"Prediction of Soil Salinization in Arid Regions During Wet and Dry Seasons Based on Spectro-Polarimetric Features and Machine Learning","authors":"Xiaobing Wang, Mireguli Ainiwaer, Aizemaitijiang Maimaitituersun, Jiaqi Zhang, Xayida Subi","doi":"10.1002/ldr.5635","DOIUrl":"https://doi.org/10.1002/ldr.5635","url":null,"abstract":"Soil salinization is one of the main causes of soil degradation and ecosystem deterioration in arid regions, posing a serious threat to ecological environments and agricultural security. Understanding the factors influencing soil salinization is crucial for soil management and improvement. However, the sensitivity of soil salinization to seasonal changes has not been thoroughly studied in arid regions. Therefore, this study focuses on the Yanqi Basin, where 129 soil samples were collected (wet season of 51, dry season of 78) for laboratory analysis to determine the soil saturated extract conductivity (EC_e). Soil salinity feature variables were extracted from Sentinel-1 radar remote sensing data, Sentinel-2 optical remote sensing data, and digital elevation models (DEM). The Boruta algorithm was used to select feature variables, and the optimal feature variables were combined with Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) models to construct prediction models. The results indicate: (1) Red-edge spectral features (RE) can effectively predict soil salinization. In addition, the variables most correlated with EC_e are elevation (DEM) and river network baseline (CNBL), mainly because the terrain in the study area is higher in the northwest and lower in the southeast, with flat farmland in the central region, where the movement of water and salt is significantly influenced by the terrain. (2) The RF model is the best prediction model in this study, with <i>R</i>² = 0.78, effectively revealing the spatial distribution of soil salinity during both the wet and dry seasons. (3) The degree of salinization in the wet season is significantly higher than in the dry season due to the combined effects of higher precipitation, lower vegetation cover, evaporation, and salt migration. (4) During both the dry and wet seasons, salinized soil is mainly concentrated along the shores of Bosten Lake, the Kaidu River, and Huangshui Ditch, while light salinization is distributed in the Gobi Desert areas. This study provides scientific evidence for the management and improvement of soil salinization caused by seasonal changes in arid regions.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"18 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144122737","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":"Financial Geographic Accessibility and Corporate Innovation: An Analysis of Spatial Synergy Based on Land Use and Environmental Sustainability","authors":"Yuping Shang, Long Zheng, Liwen Wan, Dariusz Cichoń, László Vasa, Xin Zhao","doi":"10.1002/ldr.5653","DOIUrl":"https://doi.org/10.1002/ldr.5653","url":null,"abstract":"In the face of land degradation and environmental constraints, it is imperative to have an adaptive financial geography structure and a land resource utilization system that supports corporate innovation. This study constructs a refined financial geographic accessibility measurement index. By integrating multi‐source spatio‐temporal big data, the study breaks through the static limitation of traditional statistical data. It accurately analyzes the spatial synergistic effect between the spatial distribution of financial institutions and land use planning. Land use data, such as spatial development rate and spatial interest points, provide high‐precision spatial evidence for revealing the mechanism of financial geographic accessibility affecting corporate innovation. Further, from the environmental sustainability perspective, this paper studies the moderating effect of environmental constraints on corporate innovation. Financial geographic accessibility can improve corporate innovation by reducing financing costs, accelerating knowledge spillover, realizing intermediate input sharing, improving labor matching, and giving play to location advantages. Notably, this facilitation effect performs better in cities with high energy consumption and carbon emissions. Heterogeneity analysis shows that proximity to the city center, low industrial maturity, government subsidies, soes, and large‐scale corporations significantly amplify the innovation benefits of financial geographic accessibility. This study combines remote sensing data with spatial big data to provide a new methodological framework for analyzing land use and degradation.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"4 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144113743","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":"Impact of Grazing Duration and Environment on Soil Carbon in Reclaimed Uranium Mines Tailings: A Region Specific Study","authors":"Chandan Shilpakar, Di Yang, David L. Holbrook, Urszula Norton, M. Anowarul Islam","doi":"10.1002/ldr.5647","DOIUrl":"https://doi.org/10.1002/ldr.5647","url":null,"abstract":"Grassland ecosystems, which cover over one‐third of the Earth's land area, store 10%–30% of global soil carbon (C). However, these ecosystems face substantial impacts from human activities, including mining. This study investigates the spatial distribution of soil C and related environmental factors in reclaimed grasslands on former uranium mine sites in Wyoming. We hypothesized that grazing duration and environmental factors would influence soil C levels. Interactions between topography, vegetation diversity, soil properties, and soil C in the context of grazing management in both natural and reclaimed grasslands from a wide range of periods from 1 year to 100 years were analyzed using geographically weighted regression models. Data collected from 2022 to 2023 showed that total carbon was consistently higher in natural grasslands (1.2%–4.9%) than in reclaimed grasslands (0.8%–1.3%). Additionally, soil C was significantly higher in natural grasslands grazed for 1 year compared to those grazed for 100 years. In contrast, reclaimed grasslands had lower soil C in areas grazed for 1 year compared to those grazed for 7 or 14 years. The absolute values of coefficients from environmental covariates indicated that areas grazed for a shorter duration (~1 year) were more influenced by biotic and abiotic factors than areas grazed for longer periods (&gt; 7 years). Our findings show moderate grazing increases the resiliency of grassland ecosystems when grazed 7 years or longer and acknowledge the roles of topographic, soil, and vegetative factors in enhancing soil C concentration and developing sustainable land management practices in rangeland conditions.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"45 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097137","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 Conservation Assessment by SWAT With Improved Sediment Module and Driving Mechanism Analysis of Its Changes: A Case Study of the Jinghe River Basin, China","authors":"Jizhou Bai, Zixiang Zhou, Jing Li, Zhixiong Tang, Ya Zhang, Chuhan Wang, Yijie Sun","doi":"10.1002/ldr.5654","DOIUrl":"https://doi.org/10.1002/ldr.5654","url":null,"abstract":"Globally, the importance of soil conservation (SC) has been increasingly recognized, with a growing demand for the use of more accurate soil erosion models to assess soil conservation and investigate its driving mechanisms. This is essential to meet the requirements of land management and ecological restoration. This study developed a framework for calibrating the sediment module K, C, and P factors of the SWAT model using soil sampling data and remote sensing measurements. Taking the Jinghe River Basin as an example, the optimized model was utilized to assess the spatiotemporal characteristics of soil conservation. Furthermore, this study examined the driving mechanisms of changes in soil conservation by analyzing the relationship between potential and actual soil erosion. The findings demonstrate that calibrating the model using measured data significantly enhances its applicability. Under the combined influence of climate change and human activities, potential soil erosion markedly increased from 2000 to 2020, whereas actual erosion generally decreased, resulting in an overall increase in soil conservation. The changes in soil conservation were primarily driven by climate change‐dominated increase (CCI) and ecological restoration‐dominated increase (ERI). This study is significant for improving soil erosion mechanism models, understanding the regional baseline of soil conservation, and clarifying the driving mechanisms of soil conservation changes. It offers new insights and technical support for soil erosion research and regional management.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"10 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088204","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":"Assessing the Acoustic Landscape and Vegetational Structure of a Mining Area Undergoing Restoration for Over 30 Years","authors":"Bruna Marcela Teixeira de Andrade, Juliana Carneiro de Lacerda, Barbara Lins Caldas de Moraes, Antônio Robério Freire-Filho, e Bruna Bezerra","doi":"10.1002/ldr.5656","DOIUrl":"https://doi.org/10.1002/ldr.5656","url":null,"abstract":"Mining causes substantial changes in urban and natural ecosystems, making land restoration an essential step along the mining process and after mine closure. Here, we elucidate the soundscape and vegetation structure of a recently closed mine site under restoration over the past 30 years. We found that areas reforested at different periods differed, with older areas presenting greater vegetation density and biophony—including records of threatened species such as the Endangered blonde capuchin monkeys (<i>Sapajus flavius</i>). Due to its conservation value, we urge decision-makers to consider transforming the study site into a protected area when repurposing the mine site.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"52 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088138","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":"Nonlinearity of China's Carbon Sink Increasing and Its Nonlinear Relationship With Land Use Patterns","authors":"Zheng Wang, Chuanzhuang Liang, Huiyu Liu, Xiaojuan Xu, Peng Xue, Haibo Gong, Fusheng Jiao, Mingyang Zhang, Xiangzhen Qi","doi":"10.1002/ldr.5637","DOIUrl":"https://doi.org/10.1002/ldr.5637","url":null,"abstract":"China's terrestrial carbon sink, quantified by net ecosystem productivity (NEP), has exhibited significant yet spatially heterogeneous growth over the past four decades, driven by climate change, land use transitions, and ecological restoration policies. However, the nonlinearity of NEP enhancement and its coupling mechanisms with dynamic land use patterns remain poorly understood. This study integrates linear trend analysis, ensemble empirical mode decomposition, and boosted regression tree (BRT) modeling to systematically unravel the nonlinear characteristics of NEP trends (1981–2019) and their landscape‐mediated drivers across four ecoregions. Key findings reveal that: (1) While 43.75% of China's land area showed a linear increase in NEP, only 13.46% exhibited monotonic growth (Trend<jats:sub>IN</jats:sub>), whereas 16.46% displayed trend reversals (Trend<jats:sub>DE‐TO‐IN</jats:sub>), highlighting dominant nonlinear dynamics. (2) Land use pattern indices (LUPI)—spanning fragmentation (PD), dominance (LPI), connectivity (CONTAG), shape complexity (AWMPFD), and diversity (SHDI)—demonstrated divergent trajectories: South China and the Tibetan Plateau (TP) experienced increasing fragmentation (PD increases) alongside declining connectivity (CONTAG decreases), while Northwest China (NWC) showed inverse patterns, reflecting region‐specific anthropogenic and ecological pressures. (3) Trend<jats:sub>IN</jats:sub> regions (e.g., NWC and TP) were governed by LPI in NWC and CONTAG, where threshold exceedance (slope &gt; 0) stabilized carbon accumulation. The trend reversal regions of NEP relied on PD and AWMPFD, where initial declines in edge effects (slope &lt; 0) preceded NEP recovery. Notably, NEP responses to LUPI gradients exhibited U‐shaped thresholds (slope = 0) in monotonically increasing regions but monotonic shifts in Trend<jats:sub>DE‐TO‐IN</jats:sub> zones, underscoring legacy effects of historical landscape configurations. By bridging landscape ecological theory with nonlinear trend decomposition, this study advances the understanding of how multiscale land use patterns regulate carbon sequestration, offering actionable insights for spatially adaptive land management to support China's “dual carbon” goals.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"14 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088141","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":"Litter Decomposition Stage Exerted a Stronger Influence on Soil Organic Carbon Fractions Than Forest Litter Type","authors":"Xuxu Min, Lie Xiao, Zhanbin Li, Peng Li, Jianye Ma, Bo Wang, Dandan Du, Wentao Qiu","doi":"10.1002/ldr.5659","DOIUrl":"https://doi.org/10.1002/ldr.5659","url":null,"abstract":"Litter decomposition is a fundamental driver of carbon sequestration in forest ecosystems, influenced by tree species composition and associated litter quality. However, how different forest litter types affect decomposition dynamics, soil biochemistry, and organic carbon (SOC) sequestration remains unclear. We conducted a 210‐days in situ litterbag experiment comparing leaf litter from <jats:italic>Pinus tabulaeformis</jats:italic> (PTF), <jats:styled-content style=\"fixed-case\"><jats:italic>Quercus acutissima</jats:italic></jats:styled-content> (QAF), and a mixed forest (MF) of both species. Our results demonstrate that PTF litter had the slowest decomposition rate, retaining the highest remaining ratios of carbon, phosphorus, cellulose, and lignin, followed by MF and QAF. In contrast, soil nitrogen, phosphorus, and ammonium levels showed minimal variation among forest types, with only minor shifts in microbial community structure. Notably, QAF litter promoted the highest particulate organic carbon (POC) content and POC/SOC ratio, whereas MF litter enhanced mineral‐associated organic carbon (MAOC) accumulation. Decomposition stage was the primary driver of SOC and POC dynamics, while MAOC was more strongly influenced by litter type. These findings indicate that mixed forests may enhance SOC sequestration compared to pure stands, though long‐term stability requires further investigation.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"7 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088139","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":"Impact of Climate Policy Uncertainty on Agriculture Development: Multidimensional Analysis From Land Use, Food Structure, and Carbon Emissions","authors":"Jiapeng Dai","doi":"10.1002/ldr.5652","DOIUrl":"https://doi.org/10.1002/ldr.5652","url":null,"abstract":"Global climate change poses unprecedented challenges for agricultural sustainability, yet significant knowledge gaps persist regarding the multidimensional impacts of climate policy uncertainty (CPU) on agricultural systems. Previous research has primarily focused on isolated aspects such as land-use changes, production decisions, or emission patterns, neglecting the integrated effects across interconnected agricultural dimensions. This fragmentation underscores the need for comprehensive analytical frameworks that capture complex interactions between policy uncertainty and agricultural development trajectories. This study investigates these relationships through two-way fixed effects and spatial error model (SEM) applied to panel data from Chinese provinces spanning 2011–2022. Empirical findings reveal that CPU significantly impedes agricultural development across three critical dimensions: reducing land utilization efficiency, disrupting optimal food structures, and affecting carbon emission profiles. Regional heterogeneity analyses demonstrate that western regions exhibit heightened vulnerability to policy uncertainty effects on land use and food structures, while central regions show pronounced sensitivity regarding agricultural carbon emissions. Furthermore, spatial econometric modeling identifies significant negative spillover effects, whereby policy uncertainty in one region diminishes land utilization efficiency and food structure optimization in neighboring areas, while simultaneously influencing interregional emission patterns through resource allocation mechanisms. These findings contribute to the theoretical understanding of policy–agriculture interactions and provide empirical foundations for developing differentiated climate policy approaches that balance food security imperatives with environmental sustainability objectives.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"142 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088137","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":"Enhancing Soil Health, Fodder Energy Fractions, and Fodder Yield in Maize–Berseem Cropping Sequence Through Integrated Organic Nitrogen Fertilization","authors":"Santosh Onte, Dileep Kumar, SanjivkumarAngadrao Kochewad, Sourabh Kumar, Shiva Dhar, Sudhir Kumar, Shailendra Singh, Balendu Shekher Giri, Mahendra Vikram Singh Rajawat, Sanjeev Kumar","doi":"10.1002/ldr.5657","DOIUrl":"https://doi.org/10.1002/ldr.5657","url":null,"abstract":"Intensified mechanization, elevated chemical inputs, and sluggish organic manure decomposition pose challenges to agricultural productivity and soil health under organic farming. We hypothesize that integrated nitrogen fertilization using farmyard manure (FYM), plant growth-promoting rhizobacteria (PGPR), and panchagavya will enhance soil health, fodder energy, and crop yield. The field experiment consisted of maize (M) and berseem (B) cropping sequences, which were laid down in a randomized complete block design (RCBD) with three replications and seven treatments. The findings showed that treatment T₇ (100% recommended dose of nitrogen (RDN) through FYM + PGPR+ 3% foliar spray of panchagavya (M) – PGPR+ 3% foliar spray of panchagavya (B)) significantly improves the soil organic carbon (5.0%–13.3%), soil organic matter content (4.85%–15.7%), available nutrients (19.1%–32.6%), microbial populations (69.0%–207.1%), and soil enzymatic activities (87.7%–163.8%) from the first year (2018–2019) to the third year (2020–2021) over the control treatment (T₁) applied with a recommended dose of fertilizers (RDFs). Moreover, treatment T₇ recorded significant changes in the fodder energy fractions, total digestible crude protein, and green fodder yield of maize and berseem during the first year (2018–2019) to the third year (2020–2021) of cultivation as compared to the control (T₁). Based on the findings, treatment T₇: 100% RDN through FYM + PGPR + 3% foliar spray of panchagavya (M) – PGPR + 3% foliar spray of panchagavya (B) can be recommended for adoption to the farmers for producing organic fodder with higher yield with energy and with improved soil health under organic conditions.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"2 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088136","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}