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  • Open Access

    ARTICLE

    The Application of BP Neural Networks to Analysis the National Vulnerability

    Guodong Zhao1, Yuewei Zhang1, Yiqi Shi2, Haiyan Lan1,*, Qing Yang3

    CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 421-436, 2019, DOI:10.32604/cmc.2019.03782

    Abstract Climate change is the main factor affecting the country’s vulnerability, meanwhile, it is also a complicated and nonlinear dynamic system. In order to solve this complex problem, this paper first uses the analytic hierarchy process (AHP) and natural breakpoint method (NBM) to implement an AHP-NBM comprehensive evaluation model to assess the national vulnerability. By using ArcGIS, national vulnerability scores are classified and the country’s vulnerability is divided into three levels: fragile, vulnerable, and stable. Then, a BP neural network prediction model which is based on multivariate linear regression is used to predict the critical point… More >

  • Open Access

    ARTICLE

    The Challenge of the Paris Agreement to Contain Climate Change

    E. Grigoroudis, F. Kanellos, V. S. Kouikoglou, Y. A. Phillis

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 319-330, 2018, DOI:10.1080/10798587.2017.1292716

    Abstract Climate change due to anthropogenic CO2 and other greenhouse gas emissions has had and will continue to have widespread negative impacts on human society and natural ecosystems. Drastic and concerted actions should be undertaken immediately if such impacts are to be prevented. The Paris Agreement on climate change aims to limit global mean temperature below 2 °C compared to the pre-industrial level. Using simulation and optimization tools and the most recent data, this paper investigates optimal emissions policies satisfying certain temperature constraints. The results show that only if we consider negative emissions coupled with drastic emissions… More >

  • Open Access

    ARTICLE

    Experimental evidence of soil bacteria abundance as the primary driver of rhizosphere priming effect

    Ma YP1,2,3#, ZJ Zhang1,2#, TQ Su1#, CA Busso4, ER Johnston5, XG Han1,6, XM Zhang2*

    Phyton-International Journal of Experimental Botany, Vol.87, pp. 286-291, 2018, DOI:10.32604/phyton.2018.87.286

    Abstract Soil microbial communities are thought to be responsible for the rhizosphere priming effect (RPE). However, because soil microbial communities are comprised of diverse components, very little is known about which component plays the critical role. In this study, soybean and cottonwood were grown at two latitudinal locations with different temperature and light conditions in-situ. We quantified RPE using a natural δ13C method, and measured the abundance, richness and composition of bacteria and fungi communities with DNA-based molecular methods. Among all potential variables, including the three aforementioned indexes of bacteria and fungi communities and soil physicochemical and More >

  • Open Access

    ARTICLE

    Responses of leaf δ13C and leaf traits to precipitation and temperature in arid ecosystem of northwestern China

    Xin ZM1,2, MH Liu2, Q Lu1,3, CA Busso5, YJ Zhu1,3, Z Li2, YR Huang2, XL Li2, FM Luo2, F Bao1, JQ Qian4*, YH Li1,3*

    Phyton-International Journal of Experimental Botany, Vol.87, pp. 144-155, 2018, DOI:10.32604/phyton.2018.87.144

    Abstract Leaf δ13C is widely used to explain plant strategies related to resource availability in different environments. However, the coupled response of leaf δ13C to precipitation and temperature as well as the relationship between leaf δ13C and leaf traits remain unclear. The leaf δ13C and its relationship with leaf traits [leaf size (LS), leaf length (LL), leaf width (LW), leaf length to width ratio (L:W), specific leaf area (SLA) and mass-based leaf nitrogen concentration (Nmass)] were investigated on the dominant shrub species Nitraria tangutorum Bobr. in the arid region (Dengkou and Minqin) of northwestern China under the simulated increasing precipitation… More >

  • Open Access

    ARTICLE

    Oxidative stress in Microcystis aeruginosa as a consequence of global climate change

    Marcelo HERNANDO1, Christian HOUGHTON1, Leda GIANNUZZI2, Bernd KROCK3, Darío ANDRINOLO2, Gabriela MALANGA4,*

    BIOCELL, Vol.40, No.1, pp. 23-26, 2016, DOI:10.32604/biocell.2016.40.023

    Abstract Cyanobacteria are phototrophic organisms with great ecological and economical importance. Species of the genus Microcystis are known for their potential ability to synthesize toxins, notably microcystins. There is a growing interest in the evaluation of oxidative stress in relation to the impact of global climate change on natural ecosystems in different trophic levels. Several studies have focused on the analysis of organismal responses to mitigate the damage by controlling the generation of reactive oxygen species. Variations in environmental factors caused by climate change generate a situation of oxidative damage in Microcystis aeruginosa as a direct or indirect… More >

  • Open Access

    ARTICLE

    Carbon concentration in structures of Arctostaphylos pungens HBK: An alternative CO2 sink in forests

    Pompa-García M1, E Jurado2

    Phyton-International Journal of Experimental Botany, Vol.84, No.2, pp. 385-389, 2015, DOI:10.32604/phyton.2015.84.385

    Abstract Arctostaphylos pungens HBK is a dominant species with increasing abundance and distribution in chaparral ecosystems as a result of range management and, possibly, changes in climate. The value of this species for carbon (C) sequestration is unknown, and the standard 50% C out of total tree biomass is used as an approximate value. In this study, we aim to determine the C concentration of the primary components of A. pungens. The total C expressed as a percentage of biomass was determined with a Solids TOC Analyzer. We found the C concentration to vary among components. Leaves exhibited the More >

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