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 highest C… More >

Marcelo HERNANDO¹, Christian HOUGHTON¹, Leda GIANNUZZI², Bernd KROCK³, Darío ANDRINOLO², Gabriela MALANGA^4,*

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 consequence. In this… More >

Ma YP^1,2,3#, ZJ Zhang^1,2#, TQ Su^1#, CA Busso⁴, ER Johnston⁵, XG Han^1,6, XM Zhang^2*

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 plant indexes, bacterial abundance… More >

Shi G¹, ZY Liu¹, T Baoyin¹, J Sun², JJ Duan³, XL Li³, GF Yang⁴

Phyton-International Journal of Experimental Botany, Vol.87, pp. 236-241, 2018, DOI:10.32604/phyton.2018.87.236

Abstract Plant functional traits and their effects on rangeland ecosystem function have received much attention by ecologists. However, the importance of functional traits and the interactive effects of grazing exclusion and climate are poorly understood. This study, therefore, aimed to analyse the response of Leymus chinensis functional traits in long-term grazing exclusion in different habitats (rainless typical steppe and rainy meadow steppe). This study showed that although the sensitivity and variability of different traits were similar in two steppe habitats, phenotypic plasticity of L. chinensis in meadow steppe was significantly higher than typical steppes. With the increased degree of plasticity, the… More >

Xin ZM^1,2, MH Liu², Q Lu^1,3, CA Busso⁵, YJ Zhu^1,3, Z Li², YR Huang², XL Li2, FM Luo², F Bao¹, JQ Qian^4*, YH Li^1,3*

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 (N_mass)] 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 (PGS)… More >

Jabbari H¹, M Gholamhosseini¹, M Naeemi², A Nasiri³

Phyton-International Journal of Experimental Botany, Vol.87, pp. 133-142, 2018, DOI:10.32604/phyton.2018.87.133

Abstract Two experiments were performed in 2011-2012 to investigate the response of three oilseed rape cultivars to drought stress, grown under two climate conditions in Iran (cold and hot climates). The experiments were conducted using a randomized complete-block design arranged in split-plot with three replicates. The irrigation treatments (FI: full irrigation; WIF: withholding irrigation at flowering stage, and WIS: withholding irrigation at the silique formation stage until physiological maturity) were allocated to main plots, whereas subplots consisted of the oilseed rape cultivars: early maturating (GKH2005), relatively late maturing (Opera) and late maturing (Okapi). Drought caused a significant reduction in seed number,… More >

Fati Zoma^1*, David Y.K. Toguyeni¹, Ousmane Coulibaly¹, Ivon Hassel², Abdoulaye Ouedraogo³

Journal of Renewable Materials, Vol.6, No.1, pp. 47-54, 2018, DOI:10.7569/JRM.2017.634147

Abstract This study aims to show the aptitude of a locally made composite for providing thermal comfort and mechanical resistance in buildings in hot-dry climates. The thermal characterization reveals that the thermal diffusivity of the studied material is lower than that of commonly used materials such as agglomerated and full cinderblocks and laterite blocks and therefore is a better insulating material. In addition, its thermal inertia is the highest compared to commonly used materials of agglomerated and full cinderblocks, laterite blocks and compressed earth blocks, which implies a longer time lag. On the basis of mechanical resistance, with a compression resistance… More >

RaviS Nanjundiah¹

CMES-Computer Modeling in Engineering & Sciences, Vol.27, No.1&2, pp. 1-24, 2008, DOI:10.3970/cmes.2008.027.001

Abstract In this paper, application of high performance computing to climate modelling with specific reference to global General Circulation Models (GCM) is discussed. Methods of parallelization of global atmospheric models based on their numerical schemes is presented. It is seen that there is an interesting co-evolution of computer architecture and the type of numerical schemes used in general circulation models. A detailed survey of the Indian HPC scenario for meteorological computing is presented. Innovative and pioneering aspects of Indian efforts are highlighted. More >

K. Bououni¹, T. Jaber¹, S. Elbehissy¹

FDMP-Fluid Dynamics & Materials Processing, Vol.13, No.2, pp. 127-141, 2017, DOI:10.3970/fdmp.2017.013.127

Abstract The economic progress in the United Arab Emirates (UAE) induces to a significant increase in the demand for agricultural development. In Emirates the majority of the farms are irrigated by underground water, characterized by a high level of salinity. Liwa, Al Ain and Al Khatem areas are suffering from high water well salinity that exceeds 20,000 ppm. This work focuses on this problem and suggests a suitable solution allowing the use of renewable energy (Solar Photovoltaic) to drive RO desalination units. An optimal design of RO/PV unit adapted to a typical farm in Abu Dhabi was suggested using a model… More >

Guodong Zhao¹, Yuewei Zhang¹, Yiqi Shi², Haiyan Lan^1,*, 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 of vulnerability. The function of… More >