Journal of Forestry Research最新文献

{"title":"Pinus sylvestris and Picea abies canopy effects on deposition of air pollutants","authors":"Valentinas Černiauskas, Iveta Varnagirytė-Kabašinskienė, Valda Araminienė, Vidas Stakėnas","doi":"10.1007/s11676-024-01728-4","DOIUrl":"https://doi.org/10.1007/s11676-024-01728-4","url":null,"abstract":"<p>Tree canopies influence atmospheric pollutant depositions depending on type, ecosystem characteristics, and local climatic conditions. This study investigated the impact of <i>Pinus sylvestris</i> L. and <i>Picea abies</i> (L.) H. Karst., and a mixture of both, on the chemical composition of precipitation. Three permanent plots within the ICP forest level II monitoring network in Lithuania were selected to illustrate typical hemiboreal coniferous forests. The study analysed (1) the concentrations of NO₂, NH₃ and SO₂ in the ambient air; (2) the concentrations of SO₄²⁻, NO₃⁻, NH₄⁺, Na⁺, K⁺, Ca²⁺ and Cl^– in throughfall beneath canopies and in precipitation collected in an adjacent field, and (3) S and total N, Na⁺, K⁺, Ca²⁺ and Cl⁻ depositions in throughfall and precipitation over 2006–2022. Results show a significant decrease in SO₂ emissions in the ambient air; NO₂ and NH₃ emissions also decreased. The canopies reduced the acidity of throughfall, although they led to notably higher concentrations of SO₄²⁻, NO₃⁻, Na⁺, and particularly K⁺. During the study, low variability in NO₃^– deposition and a decrease in NH₄⁺ deposition occurred. Deposition loads increased by 20–30% when precipitation passed through the canopy. The cumulative deposition of S, Cl, Na, K, Ca, and N was greater under <i>P. abies</i> than under <i>P. sylvestris.</i> However, K deposition in throughfall was considerably lower under <i>P. sylvestris</i> compared to the <i>P. abies</i> or mixed stand. Throughfall S depositions declined across all three coniferous plots. Overall, there was no specific effect of tree species on throughfall chemistry.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"2017 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590702","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":"Decreasing productivity of pine forests on the southern edge of the Mongolian Plateau as indicated by tree rings","authors":"Zhuolan Shen, Shijie Wang, Feng Chen, Heli Zhang, Xiaoen Zhao, Youping Chen, Mao Hu","doi":"10.1007/s11676-024-01727-5","DOIUrl":"https://doi.org/10.1007/s11676-024-01727-5","url":null,"abstract":"<p>Vegetation productivity on the southern edge of the Inner Mongolian Plateau, which plays a vital role in the ecological environment and in the arable and pastoral production in this region, can be characterized by the NDVI (normalized difference vegetation index). However, the observed NDVI data span only the last ~ 40 years. The growth of <i>Pinus tabulaeformis</i> Carr. is strongly correlated with the NDVI, making it a valuable proxy for extending the length of observed NDVI datasets. In this study, we reconstructed an NDVI series for 1776–2021 for the Daqing Mountains, based on a tree-ring width chronology. The reconstructed data accounted for 55% of the variance in the observed data, and its statistical characteristics and validation indicate that the reconstruction is dependable. Spatial correlation analysis demonstrated the consistency of climate signals in central Inner Mongolia in both the arable and pastoral zones. The results of superposed epoch analysis revealed a good temporal consistency between drought and flood events and the reconstructed NDVI sequence in this region.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"4 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140591168","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":"Carbon dioxide enrichment affected flower numbers transiently and increased successful post-pollination development stably but without altering final acorn production in mature pedunculate oak (Quercus robur L.)","authors":"Ryan McClory, Richard H. Ellis, Martin Lukac, Jo Clark, Carolina Mayoral, Kris M. Hart, Andrew R. G. Plackett, A. Rob MacKenzie","doi":"10.1007/s11676-024-01724-8","DOIUrl":"https://doi.org/10.1007/s11676-024-01724-8","url":null,"abstract":"<p>Acorn production in oak (<i>Quercus</i> spp.) shows considerable inter-annual variation, known as masting, which provides a natural defence against seed predators but a highly-variable supply of acorns for uses such as in commercial tree planting each year. Anthropogenic emissions of greenhouse gases have been very widely reported to influence plant growth and seed or fruit size and quantity via the ‘fertilisation effect’ that leads to enhanced photosynthesis. To examine if acorn production in mature woodland communities will be affected by further increase in CO₂, the contents of litter traps from a Free Air Carbon Enrichment (FACE) experiment in deciduous woodland in central England were analysed for numbers of flowers and acorns of pedunculate oak (<i>Quercus robur</i> L.) at different stages of development and their predation levels under ambient and elevated CO₂ concentrations. Inter-annual variation in acorn numbers was considerable and cyclical between 2015 and 2021, with the greatest numbers of mature acorns in 2015, 2017 and 2020 but almost none in 2018. The numbers of flowers, enlarged cups, immature acorns, empty acorn cups, and galls in the litter traps also varied amongst years; comparatively high numbers of enlarged cups were recorded in 2018, suggesting <i>Q. robur</i> at this site is a fruit maturation masting species (i.e., the extent of abortion of pollinated flowers during acorn development affects mature acorn numbers greatly). Raising the atmospheric CO₂ concentration by 150 μL L⁻¹, from early 2017, increased the numbers of immature acorns, and all acorn evidence (empty cups + immature acorns + mature acorns) detected in the litter traps compared to ambient controls by 2021, but did not consistently affect the numbers of flowers, enlarged cups, empty cups, or mature acorns. The number of flowers in the elevated CO₂ plots’ litter traps was greater in 2018 than 2017, one year after CO₂ enrichment began, whereas numbers declined in ambient plots. Enrichment with CO₂ also increased the number of oak knopper galls (<i>Andricus quercuscalicis</i> Burgsdorf). We conclude that elevated CO₂ increased the occurrence of acorns developing from flowers, but the putative benefit to mature acorn numbers may have been hidden by excessive pre- and/or post-dispersal predation. There was no evidence that elevated CO₂ altered masting behaviour.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"102 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590687","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":"Degree of shade tolerance shapes seasonality of chlorophyll, nitrogen and phosphorus levels of trees and herbs in a temperate deciduous forest","authors":"Jiajia Zeng, Fan Liu, Yuan Zhu, Jiayi Li, Ying Ruan, Xiankui Quan, Chuankuan Wang, Xingchang Wang","doi":"10.1007/s11676-024-01703-z","DOIUrl":"https://doi.org/10.1007/s11676-024-01703-z","url":null,"abstract":"<p>Forest productivity is closely linked to seasonal variations and vertical differentiation in leaf traits. However, leaf structural and chemical traits variation among co-existing species, and plant functional types within the canopy are poorly quantified. In this study, the seasonality of leaf chlorophyll, nitrogen (N), and phosphorus (P) were quantified vertically along the canopy of four major tree species and two types of herbs in a temperate deciduous forest. The role of shade tolerance in shaping the seasonal variation and vertical differentiation was examined. During the entire season, chlorophyll content showed a distinct asymmetric unimodal pattern for all species, with greater chlorophyll levels in autumn than in spring, and the timing of peak chlorophyll per leaf area gradually decreased as shade tolerance increased. Chlorophyll a:b ratios gradually decreased with increasing shade tolerance. Leaf N and P contents sharply declined during leaf expansion, remained steady in the mature stage and decreased again during leaf senescence. Over the seasons, the lower canopy layer had significantly higher chlorophyll per leaf mass but not chlorophyll per leaf area than the upper canopy layer regardless of degree of shade tolerance. However, N and P per leaf area of intermediate shade-tolerant and fully shade-tolerant tree species were significantly higher in the upper canopy than in the lower. Seasonal variations in N:P ratios suggest changes in N or P limitation. These findings indicate that shade tolerance is a key feature shaping inter-specific differences in leaf chlorophyll, N, and P contents as well as their seasonality in temperate deciduous forests, which have significant implications for modeling leaf photosynthesis and ecosystem production.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"103 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590676","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 trends in wildland-urban interface fire research through text mining: a comprehensive analysis of published literature","authors":"Hafsae Lamsaf, Asmae Lamsaf, Mounir A. Kerroum, Miguel Almeida","doi":"10.1007/s11676-024-01722-w","DOIUrl":"https://doi.org/10.1007/s11676-024-01722-w","url":null,"abstract":"<p>Research on fires at the wildland-urban interface (WUI) has generated significant insights and advancements across various fields of study. Environmental, agriculture, and social sciences have played prominent roles in understanding the impacts of fires in the environment, in protecting communities, and addressing management challenges. This study aimed to create a database using a text mining technique for global researchers interested in WUI-projects and highlighting the interest of countries in this field. Author’s-Keywords analysis emphasized the dominance of fire science-related terms, especially related to WUI, and identified keyword clusters related to the WUI fire-risk-assessment-system—“<i>exposure</i>”, “<i>danger</i>”, and “<i>vulnerability</i>” within wildfire research. Trends over the past decade showcase shifting research interests with a growing focus on WUI fires, while regional variations highlighted that the “<i>exposure</i>” keyword cluster received greater attention in the southern Europe and South America. However, <i>vulnerability</i> keywords have relatively a lower representation across all regions. The analysis underscores the interdisciplinary nature of WUI research and emphasizes the need for targeted approaches to address the unique challenges of the wildland-urban interface. Overall, this study provides valuable insights for researchers and serves as a foundation for further collaboration in this field through the understanding of the trends over recent years and in different regions.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"7 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590966","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":"Long-term changes in radial growth of seven tree species in the mixed broadleaf-Korean pine forest in Northeast China: Are deciduous trees favored by climate change?","authors":"","doi":"10.1007/s11676-024-01725-7","DOIUrl":"https://doi.org/10.1007/s11676-024-01725-7","url":null,"abstract":"<h3>Abstract</h3> <p>The role of the temperate mixed broadleaf-Korean pine forest (BKF) in global biogeochemical cycles will depend on how the tree species community responds to climate; however, species-specific responses and vulnerabilities of common trees in BKF to extreme climates are poorly understood. Here we used dendrochronological methods to assess radial growth of seven main tree species (<em>Pinus koraiensis</em>, <em>Picea jezoensis</em>, <em>Abies nephrolepis</em>, <em>Fraxinus mandshurica</em>, <em>Phellodendron amurense</em>, <em>Quercus mongolica</em>, and <em>Ulmus davidiana</em>) in an old-growth BKF in response to climate changes in the Xiaoxing’an Mountains and to improve predictions of changes in the tree species composition. Temperature in most months and winter precipitation significantly negatively affected growth of <em>P. jezoensis</em> and <em>A. nephrolepis</em>, but positively impacted growth of <em>P. koraiensis</em> and the broadleaf species, especially <em>F. mandshurica</em> and <em>U. davidiana</em>. Precipitation and relative humidity in June significantly positively impacted the growth of most tree species. The positive effect of the temperature during the previous non-growing season (PNG) on growth of <em>F. mandshurica</em> and <em>Q. mongolica</em> strengthened significantly with rapid warming around 1981, while the impact of PNG temperature on the growth of <em>P. jezoensis</em> and <em>A. nephrolepis</em> changed from significantly negative to weakly negative or positive at this time. The negative response of radial growth of <em>P. jezoensis</em> and <em>A. nephrolepis</em> to precipitation during the growing season gradually weakened, and the negative response to PNG precipitation was enhanced. Among the studied species, <em>P. koraiensis</em> was the most resistant to drought, and <em>U. davidiana</em> recovered the best after extreme drought. <em>Ulmus davidiana</em>, <em>P. jezoensis</em> and <em>A. nephrolepis</em> were more resistant to extreme cold than the other species. Climate warming generally exacerbated the opposite growth patterns of conifer (decline) and broadleaf (increase) species. Deciduous broadleaf tree species in the old-growth BKF probably will gradually become dominant as warming continues. Species-specific growth-climate relationships should be considered in future models of biogeochemical cycles and in forestry management practices.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"11 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590680","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":"Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China","authors":"Shengwang Meng","doi":"10.1007/s11676-024-01718-6","DOIUrl":"https://doi.org/10.1007/s11676-024-01718-6","url":null,"abstract":"<p>Quantifying the biomass of saplings in the regeneration component is critical for understanding biogeochemical processes of forest ecosystems. However, accurate allometric equations have yet to be developed in sufficient detail. To develop species-specific and generalized allometric equations, 154 saplings of eight <i>Fagaceae</i> tree species in subtropical China’s evergreen broadleaved forests were collected. Three dendrometric variables, root collar diameter (<i>d</i>), height (<i>h</i>), and crown area (<i>ca</i>) were applied in the model by the weighted nonlinear seemingly unrelated regression method. Using only <i>d</i> as an input variable, the species-specific and generalized allometric equations estimated the aboveground biomass reasonably, with <span>({R}_{adj}^{2})</span> values generally &gt; 0.85. Adding <i>h</i> and/or <i>ca</i> improved the fitting of some biomass components to a certain extent. Generalized equations showed a relatively large coefficient of variation but comparable bias to species-specific equations. Only in the absence of species-specific equations at a given location are generalized equations for mixed species recommended. The developed regression equations can be used to accurately calculate the aboveground biomass of understory <i>Fagaceae</i> regeneration trees in China’s subtropical evergreen broadleaved forests.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"47 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590690","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":"An enhanced method for predicting and analysing forest fires using an attention-based CNN model","authors":"Shaifali Bhatt, Usha Chouhan","doi":"10.1007/s11676-024-01717-7","DOIUrl":"https://doi.org/10.1007/s11676-024-01717-7","url":null,"abstract":"<p>Prediction, prevention, and control of forest fires are crucial on at all scales. Developing effective fire detection systems can aid in their control. This study proposes a novel CNN (convolutional neural network) using an attention blocks module which combines an attention module with numerous input layers to enhance the performance of neural networks. The suggested model focuses on predicting the damage affected/burned areas due to possible wildfires and evaluating the multilateral interactions between the pertinent factors. The results show the impacts of CNN using attention blocks for feature extraction and to better understand how ecosystems are affected by meteorological factors. For selected meteorological data, RMSE 12.08 and MAE 7.45 values provide higher predictive power for selecting relevant and necessary features to provide optimal performance with less operational and computational costs. These findings show that the suggested strategy is reliable and effective for planning and managing fire-prone regions as well as for predicting forest fire damage.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"95 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590691","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":"Decline in tree-ring growth of Picea mongolica and its intra-annual eco-physiological responses to drought and CO2 enrichment in semi-arid China","authors":"Xiaomin Zeng, Ping Ni, Xiaohong Liu, Wenzhi Wang, Yao Li, Wenchao Wang","doi":"10.1007/s11676-024-01716-8","DOIUrl":"https://doi.org/10.1007/s11676-024-01716-8","url":null,"abstract":"<p>Episodes of drought-induced decline in tree growth and mortality are becoming more frequent as a result of climate warming and enhanced water stress in semi-arid areas. However, the ecophysiological mechanisms underlying the impact of drought on tree growth remains unresolved. In this study, earlywood and latewood tree-ring growth, δ¹³C, and δ¹⁸O chronologies of <i>Picea mongolica</i> from 1900 to 2013 were developed to clarify the intra- and inter-annual tree-ring growth responses to increasingly frequent droughts. The results indicate that annual basal area increment residuals (BAI_res), which removed tree age and size effects, have significantly decreased since 1960. However, the decreasing trend of earlywood BAI_res was higher than that of latewood. Climate response analysis suggests that the dominant parameters for earlywood and latewood proxies (BAI_res, δ¹³C and δ¹⁸O) were drought-related climate variables (Palmer drought severity index, temperature, relative humidity, and vapor pressure deficit). The most significant period of earlywood and latewood proxies’ responses to climate variables were focused on June–July and July–August, respectively. BAI_res, and δ¹³C were significantly affected by temperature and moisture conditions, whereas δ¹⁸O was slightly affected. Decreasing stomatal conductance due to drought outweighed the influence of increasing CO₂ on intrinsic water use efficiency (iWUE), and ultimately led to a decline in BAI_res. Compared to latewood, the faster decreasing BAI_res and smaller increasing iWUE of earlywood suggested trees were more vulnerable to water stress in the early growing season. Our study provides insights into the inter- and intra-annual mechanisms of tree-ring growth in semi-arid regions under rising CO₂ and climate change.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"24 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140590783","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":"Assessment of large-scale multiple forest disturbance susceptibilities with AutoML framework: an Izmir Regional Forest Directorate case","authors":"Remzi Eker, Kamber Can Alkiş, Abdurrahim Aydın","doi":"10.1007/s11676-024-01723-9","DOIUrl":"https://doi.org/10.1007/s11676-024-01723-9","url":null,"abstract":"<p>Disturbances such as forest fires, intense winds, and insect damage exert strong impacts on forest ecosystems by shaping their structure and growth dynamics, with contributions from climate change. Consequently, there is a need for reliable and operational methods to monitor and map these disturbances for the development of suitable management strategies. While susceptibility assessment using machine learning methods has increased, most studies have focused on a single disturbance. Moreover, there has been limited exploration of the use of “Automated Machine Learning (AutoML)” in the literature. In this study, susceptibility assessment for multiple forest disturbances (fires, insect damage, and wind damage) was conducted using the PyCaret AutoML framework in the Izmir Regional Forest Directorate (RFD) in Turkey. The AutoML framework compared 14 machine learning algorithms and ranked the best models based on AUC (area under the curve) values. The extra tree classifier (ET) algorithm was selected for modeling the susceptibility of each disturbance due to its good performance (AUC values &gt; 0.98). The study evaluated susceptibilities for both individual and multiple disturbances, creating a total of four susceptibility maps using fifteen driving factors in the assessment. According to the results, 82.5% of forested areas in the Izmir RFD are susceptible to multiple disturbances at high and very high levels. Additionally, a potential forest disturbances map was created, revealing that 15.6% of forested areas in the Izmir RFD may experience no damage from the disturbances considered, while 54.2% could face damage from all three disturbances. The SHAP (Shapley Additive exPlanations) methodology was applied to evaluate the importance of features on prediction and the nonlinear relationship between explanatory features and susceptibility to disturbance.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"59 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140591058","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}