|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Leaf functional traits vary with the adult height of plant species in forest communities显示文摘Aims Within-community variation accounts for a remarkable proportion of the variation in leaf functional traits.Plant height may be used to explain within-community variances of leaf traits because different microenvironments,especially light intensity,may occur at different heights.This study determines whether or not leaf nitrogen(N)and phosphorus(P)contents as well as leaf mass per area(LMA)are interspecifically correlated with the adult height of forest woody species.We also discuss these relationships with respect to community structure and functions of the ecosystem.Methods A total of 136 dicotyledonous woody species from 6 natural forests(3 evergreen and 3 deciduous ones)in East China(18°44′–45°25′N,108°50′–128°05′E)were investigated.For each of the 157 species–site combinations,6 traits were measured:plant adult height relative to the forest canopy(H_(R)),leaf N and P contents per unit area(N_(area) and P_(area)),N and P contents per unit dry mass(N_(mass) and P_(mass))and LMA.The total variances of each leaf trait across sites were partitioned in a hierarchical manner.The relationships between leaf traits and H_(R) within forest communities were then analyzed using both standardized major axis regression and Felsenstein’s phylogenetic independent contrasts.Relationships between evergreen and deciduous forests were compared by linear mixed models.Important Findings H_(R) is a robust predictor of leaf N_(area),P_(area) and LMA,explaining 36.7%,39.4%and 12.0%of their total variations across forests,respectively.Leaf N_(area),P_(area) and LMA increased with H_(R) in all of the studied forests,with slopes that were steeper in evergreen forests than in deciduous ones.Leaf N_(mass) and P_(mass) showed no significant relationship with H_(R) generally.The increase in leaf N_(area),P_(area) and LMA with H_(R) across species is assumed to maximize community photosynthesis and may favor species with larger H_(R). | Dongmei Jin Xuecui Cao Keping Ma | 2014 | Journal of Plant Ecology2014，7，1： | 2 |
| 2 | Flow injection solid-phase extraction using multi-walled carbon nanotubes packed micro-column for the determination of polycyclic aromatic hydrocarbons in water by gas chromatography–mass spectrometry显示文摘 | Hong Wu Xuecui Wang Bing Liu Jie Lu Baixiang Du Luxin Zhang Jingjing Ji Qiaoyu Yue Baoping Han | 2010 | Journal of Chromatography A2010，，17： | 1 |
| 3 | Flow injection solid- phase extraction using multi-walled carbon nanotubes packed micro-column for the determination of polycyclic aromatic hydrocarbons in water by gas chromatography-mass spectrometry 显示文摘 | Wu Hong Wang Xuecui Liu Bing | 2010 | Journal of Chromatography A2010，1217，： | 1 |
| 4 | An interconnect-free micro-electromechanical 7-bit arithmetic device for multi-operand programmable computing显示文摘Computational power density and interconnection between transistors have grown to be the dominant challenges for the continued scaling of complementary metal-oxide-semiconductor(CMOS)technology due to limited integration density and computing power.Herein,we designed a novel,hardware-efficient,interconnect-free microelectromechanical 7:3 compressor using three microbeam resonators.Each resonator is configured with seven equal-weighted inputs and multiple driven frequencies,thus defining the transformation rules for transmitting resonance frequency to binary outputs,performing summation operations,and displaying outputs in compact binary format.The device achieves low power consumption and excellent switching reliability even after 3 ×10^(3) repeated cycles.These performance improvements,including enhanced computational power capacity and hardware efficiency,are paramount for moderately downscaling devices.Finally,our proposed paradigm shift for circuit design provides an attractive alternative to traditional electronic digital computing and paves the way for multioperand programmable computing based on electromechanical systems. | Xuecui Zou Usman Yaqoob Saly Ahmed Yue Wang Khaled Nabil Salama Hossein Fariborzi | 2023 | Microsystems & Nanoengineering2023，9，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员