Subjects: Biology >> Botany >> Applied botany submitted time 2023-08-04 Cooperative journals: 《广西植物》
Abstract： Pseudolarix amabilis is one of the most internationally influential ancient relict plants in China, and it faces a multitude of threats, including habitat fragmentation, population isolation, and declining numbers. Fortunately, the Village Fengshui forests, sacred forests protected by Fengshui culture, has emerged as a potential refuge for the natural population of P. amabilis.Nonetheless, the underlying mechanisms by which the Village Fengshui forests safeguards the natural population of P. amabilis warrant in-depth exploration. To address this research gap, this study employed rigorous field investigations and community interviews to comprehensively assess the recruitment status, conservation behaviors, and extent of disturbances for the natural population of P. amabilis. Moreover, we selected the P. amabilis population in Linjiatang as a representative case study to elucidate the protective and management paradigm of P. amabilis Village Fengshui forests. The results were as follows：(1) The diameter at breast height (DBH) structure of P. amabilis in the Village Fengshui forests exhibited continuity, and the seedling density was higher compared to other habitat types. (2) The Village Fengshui forests effectiveness in protecting the natural population of P. amabilis can be attributed to the Fengshui and taboo culture associated with Shuikou forest (Village Fengshui forests near water sources), cemetery forest, and Yangji tree (heritage tree near residential houses). (3) The development of rural tourism has further contributed to the preservation of P. amabilis Village Fengshui forests. In conclusion, the protection and management approach based on Fengshui and taboo cultures in Village Fengshui forests presents an effective paradigm for safeguarding the natural population of P.amabilis.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： none
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-04-07 Cooperative journals: 《计算机应用研究》
Abstract： In order to solve the problem that it is difficult to get out of the local optimum to achieve further optimization in large-scale dense Distributed Constraint Optimization Problems(DCOPs) . This paper proposed a local parallel search framework(LPOS) for solving algorithms of DCOPs. In LPOS, the Agent searches all the value assignments of its local neighbors in parallel according to its current value assignment to further expand the search of solution space, so as to avoid the algorithm falling into local optimum prematurely. In order to ensure the convergence of the algorithm, this paper designed an adaptive equilibrium factor K to balance the exploration and exploitation ability of the DCOPs solving algorithms. At the theoretical analysis, it proved that the LPOS can expand the search of solution space and the K can achieve the balance. The experimental results demonstrate that the performance of the proposed LPOS is better than the-state-of-the-art algorithms in both low density and high density. Specifically, LPOS significantly superior to the competitors when solving high density DCOPs.
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