Aboveground biomass and its spatial distribution pattern of herbaceous marsh vegetation in China

Shen, Xiangjin; Jiang, Ming; Lü, Xianguo; Liu, Xingtu; Liu, Bo; Zhang, Jiaqi; Wang, Xianwei; Tong, Shuo; Lei, Guangchun; Wang, Shengzhong; Tong, Chuan; Fan, Hongchao; Tian, Kang; Wang, Xiaolong; Hu, Yuanman; Xie, Yonghong; Ma, Meihu; Zhang, Shuwen; Cao, Chunxiang; Wang, Zhichen

doi:10.1007/s11430-020-9778-7

Cited by 102 publications

(34 citation statements)

References 31 publications

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“…The performance of the proposed GWO-based method is not limited to yield estimation, and it can also be tested based on other real-world applications, such as energy storage planning and scheduling [147], service ecosystem [148,149], image editing [150][151][152], epidemic prevention and control [153,154], social recommendation and QoS-aware service composition [155][156][157], active surveillance [158], large scale network analysis [159], spatial analysis [160], crop evapotranspiration prediction [161], control engineering [162,163], pedestrian dead reckoning [164] and evaluation of human lower limb motions [165]. The SLEGWO proposed is based on the improved GWO multi-strategy optimization method and it is applied to solve the fertilizer effect function, which is a new idea based on the traditional precision fertilizer application operation technology.…”

Section: Discussionmentioning

confidence: 99%

Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation

et al. 2021

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Precision fertilization is a major constraint in consistently balancing the contradiction between land resources, ecological environment, and population increase. Even more, it is a popular technology used to maintain sustainable development. Nitrogen (N), phosphorus (P), and potassium (K) are the main sources of nutrient income on farmland. The traditional fertilizer effect function cannot meet the conditional agrochemical theory’s conditional extremes because the soil is influenced by various factors and statistical errors in harvest and yield. In order to find more accurate scientific ratios, it has been proposed a multi-strategy-based grey wolf optimization algorithm (SLEGWO) to solve the fertilizer effect function in this paper, using the “3414” experimental field design scheme, taking the experimental field in Nongan County, Jilin Province as the experimental site to obtain experimental data, and using the residuals of the ternary fertilizer effect function of Nitrogen, phosphorus, and potassium as the target function. The experimental results showed that the SLEGWO algorithm could improve the fitting degree of the fertilizer effect equation and then reasonably predict the accurate fertilizer application ratio and improve the yield. It is a more accurate precision fertilization modeling method. It provides a new means to solve the problem of precision fertilizer and soil testing and fertilization.

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Section: Discussionmentioning

confidence: 99%

Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation

et al. 2021

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“…The study area is the source of the Tumen, Songhua, and Yalu rivers in Northeast China. The climate of Changbai Mountain is humid during the summer and cold and windy during the winter [32]. The climate is affected by the temperate continental monsoon [33,34].…”

Section: Study Areamentioning

confidence: 99%

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Zhang

Shen

Wang

et al. 2021

Forests

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The area and vegetation coverage of forests in Changbai Mountain of China have changed significantly during the past decades. Understanding the effects of forests and forest coverage change on regional climate is important for predicting climate change in Changbai Mountain. Based on the satellite-derived land surface temperature (LST), albedo, evapotranspiration, leaf area index, and land-use data, this study analyzed the influences of forests and forest coverage changes on summer LST in Changbai Mountain. Results showed that the area and vegetation coverage of forests increased in Changbai Mountain from 2003 to 2017. Compared with open land, forests could decrease the summer daytime LST (LSTD) and nighttime LST (LSTN) by 1.10 °C and 0.07 °C, respectively. The increase in forest coverage could decrease the summer LSTD and LSTN by 0.66 °C and 0.04 °C, respectively. The forests and increasing forest coverage had cooling effects on summer temperature, mainly by decreasing daytime temperature in Changbai Mountain. The daytime cooling effect is mainly related to the increased latent heat flux caused by increasing evapotranspiration. Our results suggest that the effects of forest coverage change on climate should be considered in climate models for accurately simulating regional climate change in Changbai Mountain of China.

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“…Vallisneria spp., typical rosette‐type macrophytes, are widely distributed in freshwater ecosystems located in East Asia, North America, South Europe, and Australia (Biernacki & Lovett‐Doust, 1997 ; Les et al., 2008 ; Lowden, 1982 ; Shen et al., 2021 ). Moreover, Vallisneria planting has been extensively used in the ecological restoration of degraded lakes (Gao et al., 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Rapid adaptive responses of rosette‐type macrophyte Vallisneria natans juveniles to varying water depths: The role of leaf trait plasticity

Gao

Wang

et al. 2021

Ecology and Evolution

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Aboveground biomass and its spatial distribution pattern of herbaceous marsh vegetation in China

Cited by 102 publications

References 31 publications

Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation

Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation

Effects of Forest Changes on Summer Surface Temperature in Changbai Mountain, China

Rapid adaptive responses of rosette‐type macrophyte Vallisneria natans juveniles to varying water depths: The role of leaf trait plasticity

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