[Objectives]To explore the phylogenetic diversity of wetlands at the source of the Qin River and provide data reference for future research.[Methods]Taking survey data(July,2016)of plants in wetlands at the source of ...[Objectives]To explore the phylogenetic diversity of wetlands at the source of the Qin River and provide data reference for future research.[Methods]Taking survey data(July,2016)of plants in wetlands at the source of Qin River as research object,this study utilizes Phylocom 4.2 to construct plant(in wetlands at the source of Qin River)genealogical tree for 72 non-angiosperm species within research area,besides,the paper adopts Pedigree diversity index(PD),community pedigree structure index(net Relatedness index,NRI and Nearest Taxon Index,NTI)to analyze pedigree diversity and pedigree structure of plants in wetlands at the source of Qin River.This paper is going to explain the scientific question:pedigree diversity,pedigreeβdiversity,and pedigree structure of plants in wetlands at the source of Qin River,in order to study on relatedness and stability of community.[Results]The effect of habitat filtration will result in similar species adaptation and close genetic relationships in the community,manifesting as genealogy aggregation.On the contrary,the effect of competitive exclusion can lead to distant species genetic relationships in the community,manifesting as genealogy divergence.In this study,there was a tendency of aggregation among the species in sample plot S5,which indicated that the effect of habitat filtration was dominant in this plot,and in S2 and S6 the species had a decentralized trend.The NRI and NTI values in other plots were different in the positive and negative.[Conclusions]This research serves as an initial exploration of the phylogenetic diversity and community assembly mechanisms in the wetlands at the source of Qin River.Further studies incorporating environmental factors and human activities could provide deeper insights into community ecology phenomena and assembly mechanisms.展开更多
Inferring network structures from available data has attracted much interest in network science;however,in many realistic networks,only some of the nodes are perceptible while others are hidden,making it a challenging...Inferring network structures from available data has attracted much interest in network science;however,in many realistic networks,only some of the nodes are perceptible while others are hidden,making it a challenging task.In this work,we develop a method for reconstructing the network with hidden nodes and links,taking account of fast-varying noise and time-delay interactions.By calculating the correlations of available data with different derivative orders for multiple pairs of accessible nodes,analyzing and integrating the relationships between different correlations,and defining diverse hidden-node-related reconstruction motifs,we can effectively identify the hidden nodes and hidden links in the network.展开更多
文摘[Objectives]To explore the phylogenetic diversity of wetlands at the source of the Qin River and provide data reference for future research.[Methods]Taking survey data(July,2016)of plants in wetlands at the source of Qin River as research object,this study utilizes Phylocom 4.2 to construct plant(in wetlands at the source of Qin River)genealogical tree for 72 non-angiosperm species within research area,besides,the paper adopts Pedigree diversity index(PD),community pedigree structure index(net Relatedness index,NRI and Nearest Taxon Index,NTI)to analyze pedigree diversity and pedigree structure of plants in wetlands at the source of Qin River.This paper is going to explain the scientific question:pedigree diversity,pedigreeβdiversity,and pedigree structure of plants in wetlands at the source of Qin River,in order to study on relatedness and stability of community.[Results]The effect of habitat filtration will result in similar species adaptation and close genetic relationships in the community,manifesting as genealogy aggregation.On the contrary,the effect of competitive exclusion can lead to distant species genetic relationships in the community,manifesting as genealogy divergence.In this study,there was a tendency of aggregation among the species in sample plot S5,which indicated that the effect of habitat filtration was dominant in this plot,and in S2 and S6 the species had a decentralized trend.The NRI and NTI values in other plots were different in the positive and negative.[Conclusions]This research serves as an initial exploration of the phylogenetic diversity and community assembly mechanisms in the wetlands at the source of Qin River.Further studies incorporating environmental factors and human activities could provide deeper insights into community ecology phenomena and assembly mechanisms.
基金supported by the National Natural Science Foundation of China(Grant No.11835003)supported by the National Natural Science Foundation of China(Grant Nos.12375033,12235007,and 11975131)+7 种基金the Natural Science Foundation of Zhejiang(Grant No.LY23A050002)the K.C.Wong Magna Fund at Ningbo Universitysupported by the National Natural Science Foundation of China(Grant No.T2122016)the National Science and Technology Innovation 2030 Major Program(Grant Nos.2021ZD0203700,and 2021ZD0203705)the Fundamental Research Funds for the Central Universities(Grant No.2022CDJKYJH034)supported by the National Institutes of Health(Grant Nos.R01 HL134709,R01 HL139829,R01 HL157116,and P01 HL164311)supported by the National Natural Science Foundation of China(Grant No.11905291)CAS Project for Young Scientists in Basic Research(Grant No.YSBR-041)。
文摘Inferring network structures from available data has attracted much interest in network science;however,in many realistic networks,only some of the nodes are perceptible while others are hidden,making it a challenging task.In this work,we develop a method for reconstructing the network with hidden nodes and links,taking account of fast-varying noise and time-delay interactions.By calculating the correlations of available data with different derivative orders for multiple pairs of accessible nodes,analyzing and integrating the relationships between different correlations,and defining diverse hidden-node-related reconstruction motifs,we can effectively identify the hidden nodes and hidden links in the network.
