Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Data element governance is a key factor to promote the modernization of national governance in the digital era. By strengthening the deep integration of data factors and national governance, a new model of data-driven national governance can be formed, and the national governance can be made more scientific, refined, intelligent, and efficient. The US and European countries have continuously strengthened the top-level system design, technological innovation application, collaborative governance mechanism, and global governance cooperation of data element governance, which has effectively improved the level of data element governance and provided experience for China. Nevertheless, due to the virtuality of data elements, more subjects involved, greater risk of leakage, and higher requirements of technical support level, the current data element governance is still faced with challenges such as imperfect collaborative governance mechanism, incomplete ethical governance mechanism, weak talent and technology foundation, etc. It is thus challenging to give full play to the role of data factors to meet the needs of the modernization of national governance. In the new era, it is urgent to establish and improve a data element governance system suitable for current major needs and application scenarios of national governance, by establishing a governance concept that takes into account the development of efficiency, fairness, and security in all directions, building a governance model featuring the collaboration and co-governance of multiple subjects of the government, the market, and society, strengthening a governance idea driven by the synergy of science, technology, and institutions, and improving the basic guarantee of talents, infrastructure, and public services, to promote the governance level of data factors and provide strong support for the modernization of national governance system and capacity.
Subjects: Biology >> Botany >> Applied botany submitted time 2022-06-07 Cooperative journals: 《广西植物》
Abstract： The plants that comprise the vegetation of chinese subtropics are diverse with respect to geographical distribution patterns. Understanding how the plants with different geographical distribution patterns that live together in this region differ in their ecological niches, would advance our knowledge of species coexistence mechanisms. Here, based on the data of woody angiosperm community composition in eight broad-leaved forest dynamics plots widely distributed in the chinese subtropics, by adopting statistical methods such as phylogenetic linear model and analysis of variance (ANOVA), we examined the differences in life history traits, including leaf habit and growth form, as well as ecological behaviors (i.e., Ellenberg indicator values), between the plants of temperate distribution genera and the plants of tropical distribution genera. We found that (1) for the 265 study genera, genus distribution pattern showed a significant phylogenetic signal (i.e., Pagel's λ = 0.935, P< 0.001). (2) The genera of temperate distribution pattern comprised a higher ratio of deciduous broad-leaved plants and trees than the genera of tropical distribution pattern. (3) The plants of temperate distribution genera exist in environments with high light, low temperature and water compared with the plants of tropical distribution genera, regardless of the effects of leaf habit and growth form were controlled or not. (4) For all the plants, or for each leaf habit or growth form group separately, the ratio of species richness of the temperate distribution genera to the tropical distribution genera in the forest was controlled by mean annual temperature (MAT). The findings imply that the plants of temperate and tropical distribution genera differed in both their life history traits as well as their ecological behaviors, and the geographical turnover of plants of these two distribution patterns in the chinese subtropical broad-leaved forests was largely controlled by MAT.
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