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  • Open Access

    ARTICLE

    Spatial Heterogeneity of Selected Soil Nutrients Related to Torreya grandis cv. Merrillii Plantation in Southeastern China

    Longlong Bai1,#, Yong Zhang2,#, Min Wang1, Ying He1, Tao Ye1, Keli Zhao1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2221-2233, 2022, DOI:10.32604/phyton.2022.021422

    Abstract Chinese Torreya grandis (Torreya grandis cv. Merrillii) is a unique economic tree species in China. Intensive management related to application of chemical fertilizer and herbicides caused serious soil quality degradation of Chinese Torreya grandis plantations. Totally, 120 soil samples were collected from the main disbtributed areas of Chinese Torreya grandis in Southeastern China. In this area, soil pH values varied from 3.68 to 6.78, with a median value of 4.91, implying a trend of acidification. The average concentrations of organic matter, available nitrogen, available phosphorus and available potassium were 27.52 g kg−1, 135.77 mg kg−1, 15.12 mg kg−1, and 153.43… More >

  • Open Access

    ARTICLE

    CNN-BiLSTM-Attention Model in Forecasting Wave Height over South-East China Seas

    Lina Wang1,2,*, Xilin Deng1, Peng Ge1, Changming Dong2,3, Brandon J. Bethel3, Leqing Yang1, Jinyue Xia4

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 2151-2168, 2022, DOI:10.32604/cmc.2022.027415

    Abstract Though numerical wave models have been applied widely to significant wave height prediction, they consume massive computing memory and their accuracy needs to be further improved. In this paper, a two-dimensional (2D) significant wave height (SWH) prediction model is established for the South and East China Seas. The proposed model is trained by Wave Watch III (WW3) reanalysis data based on a convolutional neural network, the bi-directional long short-term memory and the attention mechanism (CNN-BiLSTM-Attention). It adopts the convolutional neural network to extract spatial features of original wave height to reduce the redundant information input into the BiLSTM network. Meanwhile,… More >

  • Open Access

    ARTICLE

    G × E Analysis of Growth Traits of Betula platyphylla Clones at Three Separated Sites in Northeastern China

    Yuxi Li1,2, Xinxin Zhang1,2, Qinhui Zhang1,2, Luping Jiang1,2, Rui Han1, Siqi Sun1, Xiaoqing Hu1, Xiaona Pei1, Chunli Zhao1,*, Xiyang Zhao1,2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2055-2068, 2022, DOI:10.32604/phyton.2022.020518

    Abstract To select elite materials, the growth traits of 32 Betula platyphylla clones at three separated northern sites in Northeast China were investigated and analyzed. The results showed that there were significant differences among all variation sources in the different investigated traits (P <0.01). Except for the carbon contents, all the coefficients of phenotypic variation of the other investigated traits were higher than 10%. The repeatability of different traits ranged from 0.760 to 0.998. Correlation analysis showed that tree height were significantly correlated with diameter at breast height, but neither was significantly correlated with leaf traits nor element contents. Additive main effects… More >

  • Open Access

    ARTICLE

    Environmental Drivers and Spatial Prediction of the Critically Endangered Species Thuja sutchuenensis in Sichuan-Chongqing, China

    Liang Xie1,2,5, Peihao Peng1,*, Haijun Wang1,3, Shengbin Chen4

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2069-2086, 2022, DOI:10.32604/phyton.2022.018807

    Abstract Identifying the ecological environment suitable for the growth of Thuja sutchuenensis and predicting other potential distribution areas are essential to protect this endangered species. After selecting 24 environmental factors that could affect the distribution of T. sutchuenensis, including climate, topography, soil and Normalized Difference Vegetation Index (NDVI), we adopted the Random Forest-MaxEnt integrated model to analyze our data. Based on the Random Forest study, the contribution of the mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual mean temperature and mean temperature of the driest quarter was large. Based on MaxEnt model prediction outputs, the potential… More >

  • Open Access

    ARTICLE

    Analyzing the Urban Hierarchical Structure Based on Multiple Indicators of Economy and Industry: An Econometric Study in China

    Jing Cheng1, Yang Xie2, Jie Zhang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1831-1855, 2022, DOI:10.32604/cmes.2022.020178

    Abstract For a city, analyzing its advantages, disadvantages and the level of economic development in a country is important, especially for the cities in China developing at flying speed. The corresponding literatures for the cities in China have not considered the indicators of economy and industry in detail. In this paper, based on multiple indicators of economy and industry, the urban hierarchical structure of 285 cities above the prefecture level in China is investigated. The indicators from the economy, industry, infrastructure, medical care, population, education, culture, and employment levels are selected to establish a new indicator system for analyzing urban hierarchical… More >

  • Open Access

    REVIEW

    Genetic Improvement of Betula platyphylla Suk. in China: A Review

    Qinhui Zhang1,2,#, Xiaona Pei1,#, Lianfeng Xu3,#, Xianbo Lu2, Baoyang Wen3, Yanlong Li4, Liankui Wang4, Guangzhi Dong4, Wanling Shi4, Xiaoqing Hu1,*, Xiyang Zhao1,2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1585-1599, 2022, DOI:10.32604/phyton.2022.020372

    Abstract Birch (Betula platyphylla Suk.), distributed in Eurasia, North America, and Australia, is a kind of cold-resistant, fast-growing, and vital pulpwood tree species. It is also one of the most important ecological restoration tree species with high values of economic benefits in Northeast China. To improve the genetic gain and expand the economic benefit of B. platyphylla, many genetic improvements have been carried out. In China, B. platyphylla is widely distributed and varied, and there are many varieties with excellent genetic characteristics. In this paper, the genetic improvement of B. platyphylla was reviewed, and the previous research results were discussed from… More >

  • Open Access

    REVIEW

    Positive Effects of Biochar on the Degraded Forest Soil and Tree Growth in China: A Systematic Review

    Jingkang Zhang1, Shiyuan Zhang1, Changhao Niu1,2, Jiang Jiang1,2, Haijun Sun1,2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1601-1616, 2022, DOI:10.32604/phyton.2022.020323

    Abstract Soil degradation threatens the forest sustainable productivity, particularly in afforestation system. Biochar derived from agroforestry waste or biomass can potentially improve the degraded forest soil and promote the tree growth. To expand the application of biochar for forestry productivity improvement, we here reviewed the effects and the underlying mechanisms of biochar on the degraded forest soil and tree growth. Totally 96 studies that conducted from pot to field investigations in China were summarized. The result suggested that biochar generally exerted positive effects on restoration of degraded forest soil such as that with compaction, acidification or soil erosion, which are mainly… More >

  • Open Access

    ARTICLE

    Seasonal Changes in Soil Respiration with An Elevation Gradient in Abies nephrolepis (Trautv.) Maxim. Forests in North China

    Zhijie Tian1,*, Xueying Jia2, Tingting Liu1, Eryan Ma1, Lamei Xue1, Yanqiu Hu1, Qingrong Zheng1

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1543-1556, 2022, DOI:10.32604/phyton.2022.020329

    Abstract Soil respiration (Rs) plays an important role in regulating carbon cycle of terrestrial ecosystems and presents temporal and spatial heterogeneity. Abies nephrolepis is a tree species that prefers the cold and wet environment and is mainly distributed in Northeast Asia and East Asia. The Rs variations of Abies nephrolepis forests communities are generally environmental-sensitive and can effectively reflect the adaptive responses of forest ecosystems to climate change. In this study, the growing-seasonal variations of Rs, soil temperature, soil water content and soil properties of Abies nephrolepis forests were analyzed along an altitude gradient (2000, 2100, 2200 and 2300 m) over… More >

  • Open Access

    ARTICLE

    Effects of Different Irrigation Management on the Textural Properties of Double-Cropping Late Indica Rice in South China

    Ruoyu Xiong1, Liming Chen1, Daren Jiang1, Yingjie Zhou1, Xueming Tan1, Xiaohua Pan1, Yongjun Zeng1, Jun Zhang2, Yanhua Zeng1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1495-1502, 2022, DOI:10.32604/phyton.2022.018485

    Abstract In order to investigate the effects of different irrigation management on the textural properties of two different double-cropping late Indica rice, the effects of three irrigation management including conventional irrigation (CK), constant irrigation (CI) and alternate wetting and drying (AWD) on textural properties has been researched under field conditions of two years. The results indicated that the firmness, cohesiveness and chewiness were decreased under AWD treatment, and the stickiness was increased compared with CK, while the textural properties under CI treatment showed the opposite trend with AWD treatment. Additionally, AWD treatment signifi- cantly improved the springiness of TY871 compared with… More >

  • Open Access

    ARTICLE

    Research on Ratio of New Energy Vehicles to Charging Piles in China

    Zhiqiu Yu*, Shuo-Yan Chou

    Computer Systems Science and Engineering, Vol.42, No.3, pp. 963-984, 2022, DOI:10.32604/csse.2022.023129

    Abstract With the widespread of new energy vehicles, charging piles have also been continuously installed and constructed. In order to make the number of piles meet the needs of the development of new energy vehicles, this study aims to apply the method of system dynamics and combined with the grey prediction theory to determine the parameters as well as to simulate and analyze the ratio of vehicles to chargers. Through scenario analysis, it is predicted that by 2030, this ratio will gradually decrease from 1.79 to 1. In order to achieve this ratio as 1:1, it is necessary to speed up… More >

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