Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Yili Guo is active.

Publication


Featured researches published by Yili Guo.


Scientific Reports | 2015

Beta diversity determinants in Badagongshan, a subtropical forest in central China

Xiujuan Qiao; Qianxi Li; Qinghu Jiang; Junmeng Lu; Scott B. Franklin; Zhiyao Tang; Qinggang Wang; Jiaxin Zhang; Zhijun Lu; Dachuan Bao; Yili Guo; Haibo Liu; Yaozhan Xu; Mingxi Jiang

Niche and neutral theories emphasize different processes contributing to the maintenance of species diversity. In this study, we calculated the local contribution to beta diversity (LCBD) of every cell, using variation partitioning in combination with spatial distance and environmental variables of the 25-ha Badagongshan plot (BDGS), to determine the contribution of environmentally-related variation versus pure spatial variation. We used topography and soil characteristics as environmental variables, distance-based Moran’s eigenvectors maps (dbMEM) to describe spatial relationships among cells and redundancy analysis (RDA) to apportion the variation in beta diversity into three components: pure environmental, spatially-structured environmental, and pure spatial. Results showed LCBD values were negatively related to number of common species and positively related to number of rare species. Environment and space jointly explained ~60% of the variation in species composition; soil variables alone explained 21.6%, slightly more than the topographic variables that explained 15.7%; topography and soil together explained 27%, slightly inferior to spatial variables that explained 34%. The BDGS forest was controlled both by the spatial and environmental variables, and the results were consistent across different life forms and life stages.


Plant Science Journal | 2013

Community Composition and Structure of Badagongshan (BDGS) Forest Dynamic Plot in a Mid-subtropical Mountain Evergreen and Deciduous Broad-leaved Mixed Forest, Central China

Zhi-Jun Lu; Dachuan Bao; Yili Guo; Jun-Meng Lu; Qinggang Wang; Dong He; Kuihan Zhang; Yao-Zhan Xu; Haibo Liu; Hongjie Meng; Handong Huang; Xinzeng Wei; Jian-Xiong Liao; Xiujuan Qiao; Mingxi Jiang; Zhi-Rong Gu; Chun-Lin Liao

Mountain evergreen and deciduous broadleaved mixed forests in China are mainly distributed in the mid-subtropical mid-mountain zones.Mount Badagongshan(BDGS) is located on the northern end of the Wuling Mountains at the north rim of the mid-subtropical zone,and has a typical mountain evergreen and deciduous broadleaved mixed forest.To investigate dynamics of this forest,biodiversity origin and maintenance mechanisms in East Sichuan and West Hubei in 2010-2011,the Wuhan Botanical Garden,Chinese Academy of Sciences established one 25 hm2(500 m× 500 m) forest dynamic plot of subtropical mountain evergreen and deciduous broadleaved mixed forest in the Badagongshan(BDGS) National Nature Reserve according to the standards of the Center for Tropical Forest Science(CTFS).Here,we present the flora,community composition,structure,size class and spatial distribution based data collected from all woody(bamboo and liana not included) plants with DBH≥1 cm.Our results demonstrated that BDGS was a typical mountain evergreen and deciduous broadleaved mixed forest,dominated by pantropic distribution families(24.50%) and northern temperate distribution genera(24.56%).There were nine rare and endangered wood plants.We classified 186556 individuals into 53 families,114 genera and 238 species(94 evergreen and 144 deciduous).Dominant species were from the families of Fagaceae,Ericaceae,Lauraceae and Theaceae.There were 38 species with 1000 individuals(63.16% evergreen).In total,103 rare species( 25 individuals) accounted for 43.28% of all the woody plants.The forest strata was divided into a canopy layer dominated by Cyclobalanopsis multinervis and Fagus lucida,an understory layer dominated by Rhododendron stamineum and Litsea elongata,and a shrub layer dominated by Eurya brevistyla and Symplocos anomala.Abundant(1000 individuals) and rare species were mainly from the shrub layer.Limited by growth form,the plot had a fairly small mean DBH(5.41 cm) and was dominated by small sized individuals(68.40%).The size class of five dominant trees was reverse J.


PLOS ONE | 2014

Species associations in a species-rich subtropical forest were not well-explained by stochastic geometry of biodiversity.

Qinggang Wang; Dachuan Bao; Yili Guo; Junmeng Lu; Zhijun Lu; Yaozhan Xu; Kuihan Zhang; Haibo Liu; Hongjie Meng; Mingxi Jiang; Xiujuan Qiao; Handong Huang

The stochastic dilution hypothesis has been proposed to explain species coexistence in species-rich communities. The relative importance of the stochastic dilution effects with respect to other effects such as competition and habitat filtering required to be tested. In this study, using data from a 25-ha species-rich subtropical forest plot with a strong topographic structure at Badagongshan in central China, we analyzed overall species associations and fine-scale species interactions between 2,550 species pairs. The result showed that: (1) the proportion of segregation in overall species association analysis at 2 m neighborhood in this plot followed the prediction of the stochastic dilution hypothesis that segregations should decrease with species richness but that at 10 m neighborhood was higher than the prediction. (2) The proportion of no association type was lower than the expectation of stochastic dilution hypothesis. (3) Fine-scale species interaction analyses using Heterogeneous Poisson processes as null models revealed a high proportion (47%) of significant species effects. However, the assumption of separation of scale of this method was not fully met in this plot with a strong fine-scale topographic structure. We also found that for species within the same families, fine-scale positive species interactions occurred more frequently and negative ones occurred less frequently than expected by chance. These results suggested effects of environmental filtering other than species interaction in this forest. (4) We also found that arbor species showed a much higher proportion of significant fine-scale species interactions (66%) than shrub species (18%). We concluded that the stochastic dilution hypothesis only be partly supported and environmental filtering left discernible spatial signals in the spatial associations between species in this species-rich subtropical forest with a strong topographic structure.


Plant and Soil | 2018

Leaf nutrient concentrations associated with phylogeny, leaf habit and soil chemistry in tropical karst seasonal rainforest tree species

Kundong Bai; Shihong Lv; Shijiang Ning; Danjuan Zeng; Yili Guo; Bin Wang

Background and aimsLeaf nutrient concentrations are predictors of plant growth variation and crucial for biogeochemical cycling. We aimed to explore the effects of phylogeny, leaf habit and soil chemistry on leaf nutrient concentrations in tropical karst environments.MethodsWe sampled top-soils and leaves of co-existing evergreen and deciduous tree species along the continuum of mountain valley, slope and peak in a tropical karst seasonal rainforest. We used phylogenetic comparative methods to determine how leaf nutrient concentrations varied in response to phylogeny, leaf habit and soil chemistry and interacted with each other.ResultsTree species had large inter- and intra-nutrient variability and were characterized by the combination of P limitation and Ca hyperaccumulation in leaves. The phylogenetic signals in leaf nutrient concentrations were not significant but increased with decreasing evolutionary rates as a result of the best fitted evolutionary process, i.e., stabilizing selection towards an optimum value. Compared with deciduous species, evergreen species had lower nutrient concentration requirements to fulfill specific biochemical functions in leaves. Along the valley-slope-peak continuum, the correlations between leaf and soil nutrient concentrations were positive for Ca, Mg, P, Cu and Zn and negative for N, S, K and Fe. The strength of interactions differed among leaf nutrients and this largely depended on the divergent biochemical functions among leaf nutrients.ConclusionsOur results suggest that stabilizing selection combined with the biochemical constraints could select the locally adapted evergreen and deciduous species with sufficient phylogenetic variations to produce leaf nutrient concentrations and certain nutrient combinations that should be well-fitted in tropical karst environments.


Chinese Science Bulletin | 2014

Root-sprouting ability in an evergreen and deciduous broad-leaved mixed forest

Liu Hb; Haibo Liu; Xu Yz; Lu Zj; Guo Yl; Wang Qg; Qinggang Wang; Lu Jm; Junmeng Lu; Yaozhan Xu; Zhijun Lu; Xiujuan Qiao; Qiao Xj; Dachuan Bao; Bao Dc; Yili Guo; Meng Hj; Hongjie Meng; Mingxi Jiang; Jiang Mx

As an important way for forest regeneration, root-sprouting plays an important role in maintaining population and species diversity. Using the initial census data of Badagongshan 25-hm2 forest plot, we analyzed the relationship between root-sprouting ability and topographic factors, and tested the phylogenetic signal of root-sprouting ability. We found that there are 33039 individuals with root-sprouts which account for 17.70% of all the individuals and the total number of root-sprouts was 54184. Results of Spearmans correlation analyses with torus-translation tests showed that the root-sprouting ability significantly negatively correlated with elevation, convex, and vertical distance from channel network. However it significantly positively correlated with topographic wetness index. These may be due to that the low valley areas were disturbed by the stream flow, thus accelerating the root-sprouting ability. The root-sprouting ability of 126 common species showed significant phylogenetic signal. It showed significant phylogenetic signal for shrub species and deciduous species but not for canopy species, sub-canopy species and evergreen species in different life forms. These suggested that root-sprouting ability was a very unstable functional trait in the evolutionary history. In conclusion, the root-sprouting ability of ligneous plants at Badagongshan plot was influenced by topographic factors and phylogenetic history.


Canadian Journal of Forest Research | 2013

Spatial distribution of tree species in a species-rich subtropical mountain forest in central China

Yili Guo; Junmeng Lu; Scott B. Franklin; Qinggang Wang; Yaozhan Xu; Kuihan Zhang; Dachuan Bao; Xiujuan Qiao; Handong Huang; Zhijun Lu; Mingxi Jiang


Chinese Science Bulletin | 2014

Disentangling the effects of topography and space on the distributions of dominant species in a subtropical forest

Qinggang Wang; Yaozhan Xu; Zhijun Lu; Dachuan Bao; Yili Guo; Junmeng Lu; Kuihan Zhang; Haibo Liu; Hongjie Meng; Xiujuan Qiao; Handong Huang; Mingxi Jiang


Journal of Plant Ecology-uk | 2016

Topographic species–habitat associations of tree species in a heterogeneous tropical karst seasonal rain forest, China

Yili Guo; Bin Wang; Azim U. Mallik; Fuzhao Huang; Wusheng Xiang; Tao Ding; Shujun Wen; Shuhua Lu; Dongxing Li; Yunlin He; Xiankun Li


Journal of Plant Ecology-uk | 2016

Effects of topography on structuring species assemblages in a subtropical forest

Qinggang Wang; Ruwan Punchi-Manage; Zhijun Lu; Scott B. Franklin; Zhiheng Wang; Yaoqi Li; Xiulian Chi; Dachuan Bao; Yili Guo; Junmeng Lu; Yaozhan Xu; Xiujuan Qiao; Mingxi Jiang


Canadian Journal of Forest Research | 2015

Detecting density dependence from spatial patterns in a heterogeneous subtropical forest of central China

Yili Guo; Zhijun Lu; Qinggang Wang; Junmeng Lu; Yaozhan Xu; Hongjie Meng; Haibo Liu; Jiaxin Zhang; Dachuan Bao; Xiujuan Qiao; Handong Huang; Mingxi Jiang

Collaboration


Dive into the Yili Guo's collaboration.

Top Co-Authors

Avatar

Dachuan Bao

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Mingxi Jiang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Qinggang Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Xiujuan Qiao

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Junmeng Lu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yaozhan Xu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Zhijun Lu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Bin Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Haibo Liu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Handong Huang

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge