Catena最新文献

{"title":"Soil quality assessment and its response to water flow connectivity in different vegetation restoration types, eastern China","authors":"","doi":"10.1016/j.catena.2024.108477","DOIUrl":"10.1016/j.catena.2024.108477","url":null,"abstract":"<div><div>Vegetation restoration is the most widely used forest management practice for degraded soils, but the responses of soil quality in different vegetation restoration types may vary. In addition, the relationship between water flow paths connection and soil quality needs to be further explored. In this study, the soil quality index (SQI) and the index of water flow connectivity (IWFC) in the six water flow patterns (PFP, SSB, WSB, CPS, CPW, and CSW) were explored at three forest stands (oak, pine, and bamboo forests) with 50 years for enclosure. The results showed that the bamboo forest stand had the best soil quality as a whole (0.534 ± 0.135), followed by pine (0.530 ± 0.180) and oak forest stands (0.435 ± 0.205). The IWFC in PFP, CPS and CPW water flow patterns decreased gradually with increasing soil depth, while in SSB, WSB and CSB water flow patterns, the IWFC increased at first and then decreased. Finally, the IWFC in the CPW water flow pattern showed the largest positive correlation with the SQI (<em>P</em> &lt; 0.05). The IWFC in the CPW water flow pattern driven by soil physical properties could mainly control the changes in the SQI indirectly (average IE = 0.825) by influencing soil nutrient (average IE = 0.447) and biological (average IE = 0.485) properties, while its direct effects could be ignored (average DE = −0.074), which demonstrated that the joint effects of preferential flow paths and weak stream buffer zones can dramatically reflect the changes in soil quality. The better soil improvement effect of bamboo and pine forest stands compared to the oak forest stand should be given more consideration. This study provided new insights for the assessment of the relationship between soil hydrology and soil quality.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clay composition heterogeneity in sediments from mountainous catchments with contrasting bedrock lithology in SE China coast","authors":"","doi":"10.1016/j.catena.2024.108470","DOIUrl":"10.1016/j.catena.2024.108470","url":null,"abstract":"<div><div>Low-latitude mountainous rivers in South and East Asia play a crucial role in material cycles on the Earth’s surface and are ideal targets to study how mountainous river sediments are generated, supplied and transported to continental margins. The Zhe-Min mountainous rivers in SE China coast are characterized by similar monsoon- and typhoon-induced high rainfall conditions to those islands in western Pacific (e.g., Taiwan) but have different geological backgrounds. With rather diverse bedrock types, intra- and inter-catchment differences of discharged sediment compositions of the Zhe-Min mountainous rivers remain poorly known. Here, we present clay mineral data of sediments from eight small–mesoscale mountainous rivers (drainage area &lt; 80000 km² and maximum altitude &gt; 1000 m) and two estuarine bays in this region to investigate spatial variations in sediment compositions and characterize supply, transport and deposition processes of the fine-grained sediments in these catchments. Significant spatial heterogeneity of clay minerals in the analyzed river sediments is observed, not only among these rivers, but also among non-tidal influenced reach, tidal reach and estuarine bay from the single river, implying complex accumulation process of the riverbed fine-grained sediments. Our quantitative analysis results reveal major controls of previously-underrated climate differences (e.g., temperature) and contrasting bedrock lithology on the clay mineral heterogeneity. The relatively low heterogeneity in clay mineral compositions between tidal reaches and bays, along with the widespread appearance of smectite in these regions, are distinctively different from those in the non-tidal influenced reaches. This reveals well-mixing of the offshore-sourced and mountain-supplied fine-grained sediments and highlights the major role of the tidal effects. This study demonstrates that determining terrigenous sediment output signals for small–mesoscale mountainous rivers with contrasting bedrock lithology and prevailing tidal water intrusion is a challenging job. Our findings have broad implications for chemical weathering intensity evaluation and sediment source-to-sink system studies.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microtopography-Guided precision restoration of sandy lands through UAV: A case study in Hunshandake Sandy Land, China","authors":"","doi":"10.1016/j.catena.2024.108489","DOIUrl":"10.1016/j.catena.2024.108489","url":null,"abstract":"<div><div>Increasing desertification rates have adversely affected biodiversity and ecosystem functioning in sandy lands. Ecological restoration is an effective way to combat desertification. Specific microtopographic characteristics may facilitate vegetation growth, enhancing the success of restoration efforts. However, limited research to date has explored how microtopography may guide the “precision restoration” of sandy lands by supporting spatially continuous patterns of vegetation growth. Here, high-resolution unmanned aerial vehicle (UAV) multispectral data were used to identify individual species and extract microtopographic variables, and the relationships between vegetation growth and microtopography were characterized for the Hunshandake Sandy Land in China. The distribution of three dominant shrub species and grasses was investigated by comparing the performance of five popular machine-learning methods. An auto-marking watershed algorithm was then developed to discriminate individual semi-shrubs (<em>Artemisia desertorum</em>). Finally, a new vegetation growth index (VGI), calculated from the UAV-derived crown area, normalized difference vegetation index (NDVI), and canopy height, was used to characterize the relationships between vegetation growth and several microtopographic variables (aspect, slope, and a topographic wetness index [TWI]). With the highest species classification accuracy (94.36%) and individual discrimination rate (81%), areas with high humidity (TWI), gentle and shady slopes were found to most strongly support vegetation growth; for grasses, VGI was lower in artificially-restored regions than naturally-developed regions with similar microtopographic characteristics. These findings provide valuable guidance on the use of UAV to support diverse ecological restoration solutions in sandy lands with a “precision restoration” strategy, thereby improving the survival of key vegetation for sand restoration, especially in remote areas.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 impact of vegetation cover changes and post-fire effects through an enhanced sediment flow connectivity index (SfCI)","authors":"","doi":"10.1016/j.catena.2024.108474","DOIUrl":"10.1016/j.catena.2024.108474","url":null,"abstract":"<div><div>Land cover plays a fundamental role in surface dynamics that involve sediment connectivity. Land cover types can physically mitigate, prevent or increase sediment production and mobility on the surface. Further, changes in land cover, particularly in vegetation classes, can directly affect these processes, especially if they occur over short time periods or even more rapidly after extreme events such as fires. This study analyses vegetation cover changes in the Lama Camaggi catchment (southern Italy) in relation to its sediment connectivity pattern, described by Sediment flow Connectivity Index (SfCI). The Normalized difference vegetation index (NDVI), derived from satellite data, is utilized to detect vegetation cover changes over 8-year interval and following fire events. The main objective is to evaluate how the NDVI improves the flexibility of SfCI in defining surface dynamics on both spatial and temporal scales. The findings indicate that (1) NDVI changes identify vegetation cover changes in a short period in many areas of the catchment, potentially affecting sediment connectivity, and (2) the implementation of NDVI in the SfCI helps detect post-fire effects on sediment mobility and connectivity. Integrating NDVI enhances the SfCI algorithm providing a more dynamic description of sediment patterns.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539292","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":"Glucoproteins in particulate and mineral-associated organic matter pools during grassland restoration","authors":"","doi":"10.1016/j.catena.2024.108480","DOIUrl":"10.1016/j.catena.2024.108480","url":null,"abstract":"<div><div>Glomalin related soil proteins (GRSP) produced by arbuscular mycorrhizal fungi are important stabilizing components of soil aggregates, and consequently helping to entrap organic matter and encapsulate it from microbial decomposition. Grasslands provide excellent opportunity to study GRSP effects because arbuscular mycorrhiza responsible for GRSP production is well development on roots of grasses. Fast GRSP production will accelerate soil organic carbon (SOC) accumulation, but the contribution of GRSP to particulate organic C (POC) and mineral-associated organic C (MAOC) pool remain unclear. We investigated GRSP content and thermal stability of POC and MAOC in topsoil (0–10 cm) as dependent on grassland restoration. SOC content had a nonlinear rise tendency with grassland restoration, and SOC changes were largely dependent on MAOC (&gt;64 %). The POC content decreased by 58 %, while the MAOC content increased by 34 % after 40 years of restoration, microbial transformation of POC plays important role for MAOC formation. The GRSP content contributed 1.7 times more to MAOC (15 %) content than to POC (9 %), but the potential accumulation of GRSP in POC was higher than that in MAOC. The GRSP in the POC pool (less protected) is more sensitive to grassland restoration than in the MAOC pool (more protected). Thermally easily decomposable and refractory organic matter was quantified in POC and MAOC. Thermal stability of MAOC was higher than POC, and GRSP contribute to increase in SOC thermal stability. The GRSP content and thermal stability of POC pool gradually decreased with grassland restoration, reflecting production of more organic matter available for microorganisms and with fast turnover. In conclusion, we must account for the role of GRSP in maintaining SOC thermal stability, and the potential for GRSP sequestration during grassland restoration.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revealing the optimal strategy for tree plantations on controlling soil erosion in China: A meta-analysis","authors":"","doi":"10.1016/j.catena.2024.108484","DOIUrl":"10.1016/j.catena.2024.108484","url":null,"abstract":"<div><div>Tree plantation has increased globally, driven by a desire to supply multiple ecosystem services including soil erosion control. However, how to plant trees can more effectively mitigate soil erosion still lacks systematic investigation. Therefore, we conducted a <em>meta</em>-analysis consisting of 412 paired observations from 80 studies to rigorously compare the effects of tree plantations on soil erosion control across different plantation approaches in China. The results showed that plantation age and ground cover type were the primary factors influencing the efficiency of tree plantations on runoff and sediment reduction. Mature plantations (&gt;20 years) showed more efficiency in runoff (80.9 %) and sediment (97.2 %) reduction than young plantations (&lt;10 years). The benefit of tree plantations with grass cover on runoff reduction was 70 %, while the capacity of plantations without ground cover was not significant. In addition, tree plantations in areas with steep slope, low mean annual precipitation, high soil sand content, and low soil organic carbon had better benefits on soil erosion control. Loess Plateau and Karst areas suffer the most severe water erosion in China, with distinct environmental conditions. This paper further revealed the targeted plantation strategy for these two regions: tree plantations in Karst areas should focus on the lithophyticity and drought tolerance of tree species, in the Loess Plateau should consider the trade-off between water consumption and soil erosion control.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Natural and anthropogenically driven change of organic carbon burial rate in two alpine lakes from the southeastern margin of the Tibetan Plateau","authors":"","doi":"10.1016/j.catena.2024.108490","DOIUrl":"10.1016/j.catena.2024.108490","url":null,"abstract":"<div><div>The rate of organic carbon (OC) burial in lakes depends considerably on natural and anthropogenic factors. Delineating how and to what extent potential drivers shape a lake’s OC burial rate is crucial for anticipating OC sequestration under future environmental change scenarios. Alpine lakes provide valuable opportunities for studying the influence of climate warming and atmospheric nitrogen (N) deposition on OC burial in lakes, owing to the lack of human activities in their catchments; however, this aspect has not been sufficiently documented. Here, the OC burial rate was reconstructed in two alpine lakes (Heihai and Jiren) from the southeastern margin of the Tibetan Plateau over the past ∼ 160 years, and the associated drivers were identified by resolving the temporal trends in organic matter (OM) input from specific sources to lake sediments via paleolimnological methods. The results demonstrated a consistently low OC burial rate (6.21–10.86 g m⁻² yr⁻¹) in Lake Heihai. The low hydrogen index (HI), moderate Paq, and high long-chain <em>n</em>-alkane flux revealed that submerged macrophytes and terrestrial plants are major contributors to the sequestrated OC. The notable decrease in the OC burial rate after 1980 was hypothesized to be caused by regional climate warming during this period because a greater export of terrestrial materials under such a climate can inhibit light penetration, diminishing submerged macrophyte productivity and OM input. In contrast, the synchronous input of higher amounts of terrestrial plant OM was largely degraded owing to the increased water temperature and the intensification of water column stratification. In Lake Jiren, a notably high OC burial rate (13.82–46.75g m⁻² yr⁻¹) was observed. The high HI, Paq, and short-chain <em>n</em>-alkane flux showed that phytoplankton and submerged macrophytes were the major contributors to the sequestrated OC. The two-phase increase in the OC burial rate in this lake, including a slow increase after 1947 and a rapid increase after 1983, might have resulted from strengthening aquatic primary productivity and OM input, driven by anthropogenic intensification of nutrient emissions, especially reactive N, from highly urbanized areas and the subsequent long-term atmospheric transport and deposition of these materials over the lake basin. A comparative analysis of the results between the two lakes suggested that atmospheric N deposition has a stronger influence on the OC burial than climate warming. These drivers affect the OC burial rate by altering aquatic productivity rather than the terrestrial OM input. This study provides a basic for predicting future OC burial scenarios in warmer climates with more intense anthropogenic N emissions.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The distribution and driving mechanism of soil inorganic carbon in semi-arid and arid areas: A case study of Alxa region in China","authors":"","doi":"10.1016/j.catena.2024.108475","DOIUrl":"10.1016/j.catena.2024.108475","url":null,"abstract":"<div><div>Soil inorganic carbon (SIC) is a large reservoir in semi-arid and arid regions in the form of soil carbonates, but its specific distribution and storage at spatial scales are not clear. The Alxa region is a typical semi-arid and arid area, and we revealed the spatial distribution of SIC in the 0–300 cm soil layer and the accumulation and driving mechanism of SIC in semi-arid and arid areas through soil survey sampling in the Alxa region. In the Alxa region, the SIC content in the 0–300 cm soil layer increased with the deepening of the soil profile. Soil inorganic carbon density (SICD) is 8.15 kg⋅m⁻² in the 0–100 cm soil layer, and 18.96 kg⋅m⁻² in the 100–300 cm soil layer. SICD showed no obvious spatial variation trend in the shallow layer (0–150 cm), and showed an increasing trend from southeast to northwest in the deep layer (150–300 cm). With the increase of soil depth, the degree of influence of random factors on the spatial variation of SICD decreased continuously, while the degree of influence of structural factors on the spatial variation of SICD increased continuously. By analyzing the influencing factors and driving mechanisms of SIC, it can be seen that the atmosphere–vegetation–soil water–sedimentation carbon transfer system under arid conditions is the main mechanism and pathway of SIC accumulation in semi-arid and arid regions.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal dynamics shaping bacterial community structure and networks in a Multi Geomorphological Unit System (MGUS) within the eastern Ulansuhai Lake Basin, North China","authors":"","doi":"10.1016/j.catena.2024.108481","DOIUrl":"10.1016/j.catena.2024.108481","url":null,"abstract":"<div><div>Different geomorphological units such as mountains, forests, fields, grasslands, sands and water, despite their distinct morphologies, are interconnected through micro-ecosystems that collectively maintain the balance of regional ecology. However, there is a lack of research concerning the spatial correlation among different landscape micro-ecosystems within a catchment area, hindering a comprehensive understanding of watershed systematic evolution across various landscape micro-ecosystems. To address this gap, seasonal variations in bacterial community structure and ecological network connectivity were investigated across different geomorphological units in the eastern Ulansuhai Lake Basin, North China. Water and soil samples were collected in May (beginning of the growing season, 23 samples) and November (end of the growing season, 20 samples) 2021. The diversity of bacterial communities within the Multi Geomorphological Unit System (MGUS) comprising “mountain, forest, field, grassland, sand and water” increased from May to November due to precipitation and human cultivation influences. Environmental characteristics, such as water and soil variations, exert a greater influence on bacterial community structure than differences in landscape units. The stability of the macro-ecological network structure within the MGUS was relatively high, with “water” playing a pivotal role in connectivity (the average betweenness centrality value of “water” was more than twice that of the other landscape samples). This led to the gradual emergence of deterministic processes in the construction of the bacterial community, shifting from stochastic processes (90.8 % drift effect in May) to biotic interactions (29.2 % heterogeneous selection in November). Furthermore, the bacterial community structure exhibited “macroscopic stability, with ‘water’ assuming a central role, while also showing microscopic variations, reflecting fluctuations in the contribution of dominant bacterial genera to the network structure over time”. Our study offers a core information analysis aimed at characterizing the temporal and spatial evolution of microbial community structure within an MGUS, thereby addressing a gap in microbial macroecology.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plant functional traits predict soil multifunctionality under increased precipitation and nitrogen addition in a desert steppe","authors":"","doi":"10.1016/j.catena.2024.108486","DOIUrl":"10.1016/j.catena.2024.108486","url":null,"abstract":"<div><div>Soil multiple functions (soil multifunctionality, SMF) are crucial in regulating biogeochemical cycling in grassland ecosystems. Global changes (e. g. increased precipitation and nitrogen deposition) are strongly affecting SMF in arid grasslands. However, little is known about how increased precipitation, nitrogen deposition and their combinations affect SMF in desert steppe. Here, we conducted a 6-year manipulated experiment to investigate the effects of increased precipitation, nitrogen addition and their interactions on aboveground biomass, species diversity, functional traits, soil properties and different aspects of SMF. Linear mixed models were used to explore the relationships between these biotic and abiotic factors we considered and soil nutrient pools (SMF-Nutrient pool), soil enzyme activities (SMF- Nutrient turnover) and SMF under increased precipitation and nitrogen addition. We found that increased precipitation increased leaf thickness and soil moisture but decreased leaf nitrogen content. Nitrogen addition increased leaf thickness and leaf nitrogen content but decreased soil pH. Increased precipitation increased SMF and SMF- Nutrient turnover, and nitrogen addition increased SMF and SMF-Nutrient pool. Further, the interaction between increased precipitation and nitrogen addition increased SMF and SMF-Nutrient pool. Results of linear mixed models showed that SMF was positively associated with leaf nitrogen content and specific leaf area. SMF-Nutrient pool was positively related to leaf nitrogen content but negatively related to aboveground biomass. SMF-Nutrient turnover showed positive relationships with specific leaf area, plant height and soil moisture. Our results suggest that increased precipitation, nitrogen addition and their interactions can enhance soil multifunctionality by increasing soil nutrient pools and nutrient turnover. Plant functional traits can predict the changes in soil functions under increased precipitation and nitrogen addition. These findings highlight the importance of considering different aspects of soil functions in response to global changes and the role of plant functional traits in predicting soil functions under global changes.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142539290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}