Geoderma最新文献

{"title":"Seasonal soil water origins and determinants in an alpine hillslope on the northeastern Qinghai-Tibet Plateau","authors":"Yangyang Zhang ,&nbsp;Xiao-yan Li ,&nbsp;Fang Liu","doi":"10.1016/j.geoderma.2025.117190","DOIUrl":"10.1016/j.geoderma.2025.117190","url":null,"abstract":"<div><div>Understanding the seasonal origins of mobile soil water (MSW) is critical for assessing the response of water movement to freeze–thaw, particularly in vulnerable alpine hillslope. However, the dominant factors determining the seasonal origins of MSW across different spatiotemporal scales remain poorly understood. To identify these origins under different freeze–thaw stages and topographic conditions, field samples were collected from the south, north, and valley regions of the northeastern Qinghai-Tibet Plateau from May to September 2022. We analyzed the dominant factors influencing the seasonal origins of MSW across topographies using a random forest regression model and explored causal relationships among factors through a structural equation model. Our results reveal dynamic changes in the seasonal origins of MSW and highlight key influencing factors under varying dry and wet conditions due to topographic heterogeneity. Specifically, (1) uneven seasonal precipitation, combined with substantial summer rainfall, results in summer precipitation accounting for 81 % of MSW replenishment. As melting progresses, the contribution from winter precipitation increases from 11 % in June to 23 % in September, indicating greater winter input at the watershed outlet in later seasons; (2) shallow MSW is replenished by both recent and antecedent summer precipitation, while deep MSW is primarily sustained by antecedent summer precipitation, emphasizing the significant role of summer precipitation in shallow MSW; and (3) under low soil water content (south slope), dynamic climate factors such as relative humidity and precipitation significantly influence precipitation infiltration, making them critical for determining the seasonal origins of MSW. In contrast, under high soil water content conditions (north slope and valley), static topographic heterogeneities influence water pathways, thus playing a dominant role in the seasonal sources of MSW.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"454 ","pages":"Article 117190"},"PeriodicalIF":5.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143055319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"On the Geoderma special issue “Digital soil mapping for a sustainable future”","authors":"Dominique Arrouays,&nbsp;Laura Poggio,&nbsp;Budiman Minasny","doi":"10.1016/j.geoderma.2024.117122","DOIUrl":"10.1016/j.geoderma.2024.117122","url":null,"abstract":"","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117122"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Estimating root zone soil moisture using the SMAR model and regression method at a headwater catchment with complex terrain","authors":"Yongliang Qi ,&nbsp;Bihang Fan ,&nbsp;Yaling Zhang ,&nbsp;Yanjia Jiang ,&nbsp;Yuanyuan Huang ,&nbsp;Elizabeth W. Boyer ,&nbsp;Carlos R. Mello ,&nbsp;Li Guo ,&nbsp;Hongxia Li","doi":"10.1016/j.geoderma.2024.117144","DOIUrl":"10.1016/j.geoderma.2024.117144","url":null,"abstract":"<div><div>Obtaining accurate information regarding root zone soil moisture (RZSM) is a critical element of effective hydrological and agricultural management practices. Previous studies have relied on surface soil moisture (SSM) values, which are more easily measured, to estimate RZSM using the Soil Moisture Analytical Relationship (SMAR) model or regression method. However, the performance of these two types of methods in areas with complex topography still needs more exploration. Here, we assess the accuracy of these two types of methods in a forested mountainous catchment, using daily SSM measurements from 32 monitoring sites. The results show that both methods are capable of accurately estimating RZSM with a high NSE (&gt;0.950) during the validation period. Additionally, they exhibit excellent model transferability at ungauged sites. Spatially, both methods perform better in drier areas than in wetter areas. Temporally, both methods are better in the wet–cold season than in the dry–warm season. Overall, both methods demonstrate comparable performance in the catchment, with NSE values of 0.986 and 0.951 during the validation period, respectively. The regression method is more suited to complex hydropedological environments characterized by long-term soil moisture monitoring and nonlinear hydropedological behaviors. Conversely, the SMAR model is better suited for flat areas and less spatial variability in microtopography. Moreover, the estimation of RZSM by both methods is influenced not only by soil moisture conditions but also by local factors including terrain topography, soil depth, and the degree of subsurface hydrological connectivity. This study adds to our understanding of RZSM estimation from SSM in complex terrain and will act as a reference for selecting appropriate methods of RZSM estimation. The results of this study underscore a discernible relationship between surface and deep soil moisture across varying spatial and temporal scales.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117144"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Reseeding promotes plant biomass by improving microbial community stability and soil fertility in a degraded subalpine grassland","authors":"Debao Li ,&nbsp;Sicheng Li ,&nbsp;Hao Chen ,&nbsp;Jianping Wu","doi":"10.1016/j.geoderma.2024.117160","DOIUrl":"10.1016/j.geoderma.2024.117160","url":null,"abstract":"<div><div>Forage monoculture and grass-legume mixtures are popular reseeding practices in degraded grasslands. However, the mechanism understanding for the effect of multiple reseeding approaches on soil microbial community and their associated ecosystem functioning remains unclear. Here, we conducted a 3-year field reseeding experiment with eight treatments in a degraded grassland in southern China to test how the link between plant biomass and soil microbial community stability are influenced by plant community structure. Assessments of both above- and below-ground characteristics revealed that reseeding significantly improved plant biomass, soil fertility, and community stability by 53.96 %-126.32 %, 40.74 %-106.91 %, and 13.97 %–33.17 % (<em>P</em> &lt; 0.05) on average, respectively. Furthermore, we found that plant biomass, soil fertility, and microbial community stability increased with increasing number of reseeding species. <em>Dactylis glomerata</em>, <em>Trifolium repens</em> and <em>Lolium perenne</em> mixed-reseeding had significantly higher plant biomass, soil fertility, and microbial community stability than monocultures (<em>P</em> &lt; 0.05). Microbial community stability was positively correlated with plant biomass (<em>P</em> &lt; 0.001). Our field work demonstrates that grass-legume mixtures are beneficial for plant biomass and soil microbes, where stable microbial communities are essential for maintaining ecosystem functions. As such, our findings provide new evidence to guide reseeding practices in degraded southern grasslands and offer novel theoretical insights into plant-soil-microbe interactions under grass-legume mixtures reseeding.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117160"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Enchytraeids: Small but important ecosystem engineers","authors":"Cécile Serbource ,&nbsp;Stéphane Sammartino ,&nbsp;Sophie Cornu ,&nbsp;Justine Papillon ,&nbsp;Jérôme Adrien ,&nbsp;Céline Pelosi","doi":"10.1016/j.geoderma.2024.117150","DOIUrl":"10.1016/j.geoderma.2024.117150","url":null,"abstract":"<div><div>Enchytraeids (Annelida Oligochaeta), small burrowing organisms found worldwide, are known to influence soil structure, though their specific effects on pore space are not well quantified. In this study, we evaluated how the burrowing activities of Enchytraeus albidus and Enchytraeus crypticus affected the X-ray imaged porosity of soil over a 40- day period using two different soils (loamy and silty-clay-loamy soil) sieved to 2 mm and packed at two bulk densities (0.8 and 1 g cm⁻³). Our findings revealed that while enchytraeids had minimal impact on X-ray imaged porosity, they played a key role in reshaping the soil’s internal structure, increasing pore connectivity and homogenizing pore size distribution. This was evident through a reduction in the number of smaller pores and a shift toward larger pore sizes. The overall pore structure became more uniform, with enchytraeids promoting a shift in the dominant pore sizes. These structural changes were particularly pronounced in loosely compacted soils, where enchytraeids contributed to greater network complexity, as well as in the soil with a higher clay content, which is more conducive to aggregation. This suggests that enchytraeids have a significant role in modifying soil physical properties, especially in conditions where the soil is loosely compacted. X-ray microtomography is a promising tool for studying at the mesopore scale, and further studies are needed to better characterize the bioturbation activity of enchytraeids.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117150"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Estimation of soil organic carbon in arid agricultural fields based on hyperspectral satellite images","authors":"Abdel Rahman S. Alsaleh ,&nbsp;Mariam Alcibahy ,&nbsp;Fahim Abdul Gafoor ,&nbsp;Hamed Al Hashemi ,&nbsp;Bayan Athamneh ,&nbsp;Ali A. Al Hammadi ,&nbsp;Lakmal Seneviratne ,&nbsp;Maryam R. Al Shehhi","doi":"10.1016/j.geoderma.2024.117151","DOIUrl":"10.1016/j.geoderma.2024.117151","url":null,"abstract":"<div><div>This study introduces a remote sensing approach to estimate soil organic carbon in arid agricultural fields, emphasizing sustainable land management. The United Arab Emirates (UAE) serves as the case study, representing a region where soil organic carbon dynamics have not been previously assessed. A total of 186 topsoil samples were collected and analyzed for soil organic carbon. Spectral data from field measurements, the DLR Earth Sensing Imaging Spectrometer (DESIS), and Sentinel-2 were integrated, marking the first application of this combination for soil organic carbon prediction. To address the challenges of arid environments, the study introduced specialized preprocessing techniques, including a novel vegetation index (UAEVI) for masking vegetation, principal component analysis for filling missing attributes, area normalization, and Savitzky-Golay smoothing to reduce noise and enhance spectral data. Soil organic carbon exhibited significant spectral correlations, with negative relationships observed in the wavelength ranges 401–416, 670–698, and 926–957 nm, and strong positive relationships in the ranges 519–560, 744–785, 937, and 1610 nm. A ridge regression model was developed and validated, achieving an Coefficient of Determination (R²) of 0.671, Root Mean Squared Error (RMSE) of 0.120 %, and Ratio of Performance to InterQuartile distance (RPIQ) of 2.271. The model demonstrated reliable performance in mapping soil organic carbon, achieving results comparable to studies in non-arid climates. Seasonal analysis highlighted the influence of meteorological parameters on soil organic carbon trends, and the model was successfully applied to monitor temporal changes in soil organic carbon within a sub-region from June 2022 to December 2023, revealing a slight increase in soil organic carbon over this period. This research emphasizes the effectiveness of integrating hyperspectral (DESIS) and multispectral (Sentinel-2) data with advanced preprocessing techniques for soil organic carbon estimation in arid environments. This study offers a scalable framework for more accurate and timely soil assessments, promising significant improvements in the management of arid soil ecosystems.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117151"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Soil total carbon as a key factor affects soil biota attributes in plant mixtures over time: A meta-analysis","authors":"Huiling Zhang ,&nbsp;Jinshan Cai ,&nbsp;Xu Yang ,&nbsp;Jing Huang ,&nbsp;Xuan Zhou ,&nbsp;Dima Chen","doi":"10.1016/j.geoderma.2024.117125","DOIUrl":"10.1016/j.geoderma.2024.117125","url":null,"abstract":"<div><div>Studies have determined that soil biota have distinct responses to plant richness. However, the potential mechanisms that regulate soil biota (microbes and fauna) attributes (biomass, activity, and abundance) to plant mixtures over experimental time are still unclear. By conducting 1594 paired observations of the impacts of plant mixture on soil biota attributes and its corresponding potential drivers from 179 studies, we found that plant above- and belowground biomass and total biomass were significantly increased by 35.0%, 52.9%, and 48.6% under plant mixture, respectively. Soil pH decreased significantly by 0.8% with experimental time. The responses of soil microbial attributes were more sensitive than soil fauna abundances under plant mixture over time. On average, soil microbial respiration and microbial biomass increased by 11.6% and 12.1%, respectively, in plant mixtures across all ecosystem types. For soil fauna community, only the abundance of herbivores showed a significant increase of 20.4% to plant mixtures. The response of above- and belowground biomass, total biomass, the ratio of carbon to nitrogen, and pH showed positive relationships with most specific microbial attributes, while mean annual precipitation, mean annual temperature, and the response of soil total nitrogen and NO₃^–-N showed negative relationships with them in response to plant mixtures. The abundance of soil fauna was secondarily affected by the changes of soil abiotic properties. Taken together, the response of soil total carbon had a strong effect on soil biota attributes. Changes in belowground biomass and total biomass showed negative relationships with specific soil fauna abundance, while soil total carbon, nitrogen, pH, and soil moisture showed positive relationships with specific soil fauna abundance. However, only herbivore abundance showed significant differences across different ecosystems. Our analysis illustrates the distinct responses of soil biota attributes to plant mixtures and their potential influencing factors, thereby benefiting the sustainability of soil biota biodiversity in the face of plant richness loss.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117125"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142762997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Bedrock modulates the elevational patterns of soil microbial communities","authors":"Xianjin He ,&nbsp;Ruiqi Wang ,&nbsp;Daniel S. Goll ,&nbsp;Laurent Augusto ,&nbsp;Naoise Nunan ,&nbsp;M.D. Farnon Ellwood ,&nbsp;Quanzhou Gao ,&nbsp;Junlong Huang ,&nbsp;Shenhua Qian ,&nbsp;Yonghua Zhang ,&nbsp;Zufei Shu ,&nbsp;Buhang Li ,&nbsp;Chengjin Chu","doi":"10.1016/j.geoderma.2024.117136","DOIUrl":"10.1016/j.geoderma.2024.117136","url":null,"abstract":"<div><div>Elevational gradients are often used to reveal how soil microorganisms will respond to climate change. However, inconsistent microbial distribution patterns across different elevational transects have raised doubts about their practical applicability. We hypothesized that variations in bedrock, which influence soil physical and chemical properties, would explain these inconsistencies. We therefore investigated soil microbial communities (bacterial and fungal) along two adjacent elevational transects with different bedrocks (granite vs. slate) in a subtropical forest. Our findings reveal that soil microbial communities are shaped by complex interactions between bedrock type and environmental factors along elevational gradients. Bacterial biomass was higher on slate, whereas fungal biomass was higher on granite. On granite, both bacterial and fungal biomass increased with elevation, whereas divergent patterns were observed on slate, likely due to the distinct soil properties or combinations of properties influencing microbial biomass on each bedrock. Bedrock and elevation strongly influenced microbial beta-diversity, with beta-diversity on granite driven primarily by soil total phosphorus and moisture, and on slate by soil organic carbon and pH. In contrast, alpha-diversity was impacted less by bedrock and elevation, but its relationship with environmental factors varied markedly between bedrock types. Overall, our results highlight the critical influence of bedrock in determining soil microbial community structure along elevational gradients and their potential responses to climate change.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117136"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Comparison of three quantification methods used to detect biochar carbon migration in a tropical soil: A 4.5-year field experiment in Zambia","authors":"Jing Lyu ,&nbsp;Alfred Obia ,&nbsp;Gerard Cornelissen ,&nbsp;Jan Mulder ,&nbsp;Andreas Botnen Smebye ,&nbsp;Andrew R. Zimmerman","doi":"10.1016/j.geoderma.2024.117153","DOIUrl":"10.1016/j.geoderma.2024.117153","url":null,"abstract":"<div><div>Understanding the stability and movement of biochar in soil is pivotal for its effective use in soil improvement and carbon sequestration projects. Building on a previous study that evaluated the migration of three size fractions of maize biochar carbon (BC) after 4.5 years in a Zambian loamy sand soil using δ¹³C isotopes, this study compares the results with those using chemothermal oxidation (CTO) and benzene polycarboxylic acid (BPCA) biomarkers. While the δ¹³C method registered the most BC in the application layer (0–7 cm), it detected less BC in lower layers (7–30 cm, 3.2–7.9 % downward migration), and with a greater variance, than the other two methods. The BPCA method detected relatively more BC in the lower layers (9.1–20.2 % downward migration), particularly for fine-sized biochar. It also detected the most BC in the control soil plot and outside the experimental block, which suggests either its efficiency in fine biochar detection or an issue with false positive detection. The CTO method, though less sensitive in detecting fine biochar particle BC, was strongly correlated with δ¹³C isotope results, thus representing a cost-effective and simpler alternative to the other BC quantification methods. These findings underscore the necessity of methodological consideration in biochar C quantification to ensure accurate assessment of its distribution and stability. This is a pressing need for correct assignment of climate mitigation credits. More field studies should be carried out involving multiple biochar types and quantification methods to refine our understanding of biochar C dynamics in soil.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117153"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Machine learning-based pseudo-continuous pedotransfer function for predicting soil freezing characteristic curve","authors":"Sangyeong Park ,&nbsp;Yongjoon Choe ,&nbsp;Hangseok Choi ,&nbsp;Khanh Pham","doi":"10.1016/j.geoderma.2024.117145","DOIUrl":"10.1016/j.geoderma.2024.117145","url":null,"abstract":"<div><div>Unfrozen water plays a crucial role in thermophysical processes occurring in frozen ground. Measurement difficulties require approximate approaches to describe the relationship between unfrozen water content (<em>θ</em>) and soil temperature, known as soil freezing characteristic curve (SFCC). Despite significant progress, model characteristics, freezing-thawing hysteresis, and phase equilibrium remain challenging. This study developed an alternative approach to estimate <em>θ</em> using a pedotransfer function (PTF) implemented with extreme gradient boosting (XGB). The XGB-PTF model was trained using SFCC data available in the literature, and cooperative game theory was utilized to assess potential impacts on <em>θ</em> predictions. The performance of the XGB-PTF was rigorously evaluated and compared with two high-performance empirical models. Significant reductions in root mean square error and mean absolute error of 42% and 55%, respectively, demonstrated the superiority of the XGB-PTF. The XGB-PTF’s usability was also verified by experimental validation. A notable advantage of the proposed model is its capacity to provide a credible range containing the actual <em>θ</em> with a 95% confidence level. Coupling the XGB-PTF with game theory indicated that the primary factors influencing the SFCC were in order of porosity (<em>n</em>), initial saturation degree (<em>S</em>_r), and clay fraction (<em>F</em>_clay) for fine-grained soils, while for coarse-grained soils, the order is <em>F</em>_clay, <em>n</em>, and <em>S</em>_r. Furthermore, insights derived from game theory aligned with previous experimental studies concerning the phase transition of pore water across various temperature ranges. The proposed XGB-PTF, with its straightforward predictors, efficiency, and transparency, is expected to serve as a versatile tool for advancing SFCC studies.</div></div>","PeriodicalId":12511,"journal":{"name":"Geoderma","volume":"453 ","pages":"Article 117145"},"PeriodicalIF":5.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}