About
25
Publications
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Introduction
Grassland ecology is my research field, from species traits to ecosystem functions. Especially grazing effects on plant species diversity.
Additional affiliations
November 2019 - present
July 2015 - November 2019
Education
September 2009 - July 2015
Institute of Botany, Chinese Academy of Sciences
Field of study
- Grassland ecology
September 2005 - July 2009
Publications
Publications (25)
Grasslands support a variety of herbivores that profoundly impact biodiversity and ecosystem functioning at local and regional scales. Understanding how different herbivores influence plant diversity across multiple scales is crucial for effective biodiversity conservation. However, most studies have focussed on the effects of grazing intensity on...
In the context of global change, changes in precipitation patterns and increases in atmospheric nitrogen (N) deposition have important impacts on grassland ecosystem processes and functions, such as soil respiration. However, most studies on the effects of increased precipitation and N enrichment on soil respiration have focused on pure grassland v...
In the context of global change, the effects of livestock grazing and nitrogen (N) deposition on ecosystem structure and function of grasslands are not isolated, but simultaneous or even interactive. However, most studies on variations in plant functional traits and linkages to ecosystem function have focused on grazing or N enrichment alone. Few s...
Selective grazing of livestock creates lightly and heavily grazed vegetation patches, which together contribute to the whole community in grazed grasslands. The intermediate disturbance hypothesis (IDH) predicts moderate grazing intensity can increase species diversity. However, grazing patchiness complicates predicted responses to grazing intensit...
Spatial heterogeneity in vegetation may derive from variation in animal movement patterns, but these patterns have been difficult to study at the fine spatial and temporal resolutions necessary to relate them to small-scale vegetation patterns. Here, we demonstrated the utility of Ultra-WideBand (UWB) technology to examine animal movement patterns....
Grazing and mowing are two dominant management regimes used in grasslands. although many studies have focused on the effects of grazing intensity on plant community structure, far fewer test how grazing impacts the soil microbial community. Furthermore, the effects of long-term grazing and mowing on plant and microbial community structure are poorl...
Arbuscular mycorrhizal fungi (AMF), common symbiotic root-associated soil biota, play a key role in maintaining ecosystem function and stability. However, how AMF are affected by livestock grazing in grassland ecosystem is variable, and this uncertainty in mycorrhizal responses to grazing is mainly due to the context-dependent nature of the AMF sym...
Arbuscular mycorrhizal fungi (AMF), common symbiotic root-associated soil biota, play a key role in maintaining ecosystem function and stability. However, how AMF are affected by livestock grazing in grassland ecosystem is variable, and this uncertainty in mycorrhizal responses to grazing is mainly due to the context-dependent nature of the AMF sym...
Keystone root symbiotic arbuscular mycorrhizal fungi play a major role in maintaining plant biodiversity, increasing plant productivity and enhancing storage of carbon in soil. AM fungi are ubiquitous and found in most ecosystems including grasslands currently experiencing increasing pressures form human activity. Grazing is known to impact AM fung...
Ongoing climate change, as well as long-term overgrazing, is threatening biodiversity and ecosystem functioning in grasslands worldwide. Climate change and grazing could directly alter ecosystem functioning and stability, or indirectly by changing species diversity, composition and plant functional traits. By synthesizing results from publications...
Although many studies have demonstrated that N deposition decreases biodiversity and alters ecosystem functioning, fewer studies have tested how N enrichment affect plant N and P limitation, N: P stoichiometry and ecosystem functioning. We examined the independent and interactive effects of N and P enrichment on plant N: P stoichiometry, nutrient l...
Overgrazing has resulted in widespread decline in biodiversity and ecosystem functioning in grasslands world‐wide in recent decades. However, few studies have examined the patterns and thresholds of grazing‐induced changes in community structure and ecosystem functioning along a grazing gradient and based on species‐level responses and plant functi...
Abundant evidence has shown that grazing alters plant functional traits, community structure and ecosystem functioning of grasslands. Few studies, however, have tested how plant responses to grazing are mediated by resource availability and plant functional group identity. We examined the effects of grazing on functional traits across a broad range...
Although extensive studies demonstrate that nitrogen (N) enrichment frequently reduces plant diversity within small quadrats (0.5–4 m ² ), only a few studies have evaluated N effects on biodiversity across different spatial scales.
We conducted the first experimental test of the scale dependence of N effects on species richness from a 10‐year N tre...
Context
Although many studies have demonstrated that grazing may increase or decrease plant diversity of grasslands at small scales, few studies have examined the patterns and mechanisms of grazing effects on biodiversity across multiple scales.
Objective
Our study tested the scale dependence of grazing effects on plant diversity based a 7-year...
Abundant evidence has shown that grazing alters plant functional traits, ecological strategies, community structure, and ecosystem functioning of grasslands. Few studies, however, have examined how plant responses to grazing are mediated by resource availability and functional group identity. We test functional trait-based mechanisms underlying the...
Abstract
Aims Our objective is to determine: 1) howspecies richness and abundance vary with grazing intensity and topography (i.e., flat vs. slope) in typical steppe of Inner Mongolia grassland, and 2) how common and rare species respond to grazing intensity and what role they play in species diversity maintenance.
Methods The study was carried...
Livestock grazing is the most prevalent land use of grasslands worldwide. The effects of grazing on plant C, N, P contents and stoichiometry across hierarchical levels, however, have rarely been studied; particularly whether the effects are mediated by resource availability and the underpinning mechanisms remain largely unclear.
Using a multi-organ...
Effects of grazing on root C, N, P contents and stoichiometory of dominant species across three vegetation types. The error bars are mean+SE. Significant differences between the grazed and ungrazed sites are reported from ANOVA as +, 0.05<P<0.1; *, P<0.05; **, P<0.01; ***, P<0.001. Abbreviations: Ag, Agrostis gigantea; Ca, Carex appendiculata; Br,...
Effects of grazing on soil C, N, P contents, inorganic N (NH4+–N and NO3−–N) and stoichiometory across three vegetation types. The error bars are mean+SE. M, meadow; MS, meadow steppe; TS, typical steppe; and XRB, Xilin River Basin. Significant differences between the grazed and ungrazed sites are reported from ANOVA as +, 0.05<P<0.1; *, P<0.05; **...
Understanding the mechanistic links between environmental drivers, human disturbance, plant functional traits, and ecosystem properties is a fundamental aspect of biodiversity-ecosystem functioning research. Recent studies have focused mostly on leaf-level traits or community-level weighted traits to predict species responses to grazing and the con...
Plant functional traits have been widely used to study the linkage between environmental drivers, trade-offs among different
functions within a plant, and ecosystem structure and functioning. Here, the whole-plant traits, leaf morphological and physiological
traits of two dominant species, Leymus chinensis (C3 perennial rhizome grass) and Cleistoge...
More attention has focused on using some easily measured plant functional traits to predict grazing influence on plant growth and ecosystem functioning. However, there has been much controversy on leaf traits response to grazing, thus more research should be conducted at the species level. Here we investigated the leaf area, leaf mass and specific...
Questions
Questions (3)
Hi everyone,
I have a grazing experiment which includes:
- Two topography(flat vs. slope)
- In each topography, there are three management type(grazing,mowing,mixed use)
- In each management type, there are seven grazing intensity(except for mowing)
- In each grazing intensity, there are two kinds of patches(lightly grazed and heavily grazed), mowing has no patch
- In each patch type, we randomly selected five quadrats
- The same experiments were done in two continuous years,and the position of quadrats between these two years may not be same
- We calculate community dissimilarity for each kind of patch, and we want to see how do the year, topography, management type, grazing intensity and patch type affect community dissimilarity
The question is I'm not sure whether I need to use mixed model, if I should use this method, how should I write the formula. I have wrote one:
model=lme(dissimilarity ~ year*topography*management*intensity, 1+year*topography*management*intensity|patch, data=mydata)
According to a book written by Alain Zuur, he suggest to consider all fixed effects and then select best fitted one by comparing AIC value.
I'm not very sure about random part.
Any suggestions and/or examples of how to write script for my experiment would be greatly appreciated.
Hello, everyone! I have a data of community composition, and I do a NMDS ordination to see how different treatment groups distributed, and after that, I want to make some analysis to test whether two groups are different for their community composition and which species contribute more to the difference. I know that software PRIMER can achieve this goal, but PRIMER is not a free software, and its function SIMPER has been criticized for some problems (see Warton et al. 2012). So, anyone who can give me some suggestions to finish this task in R software? Thanks in advance.
Hello, Everyone! I have some coordinates and anyone who knows how to plot polygon using these points through R software, and then, I want to know the relationships between some other points and polygon. For example, I like to know which points are in the polygon and which points are out of the polygon. Anyone who can write such R code for me, or tell me which package in R can achieve my purpose. Thanks a lot!
