Vertical patterns in plant diversity and their relations with environmental factors on the southern slope of the Tianshan Mountains (middle section) in Xinjiang (China)

2017 ◽  
Vol 14 (4) ◽  
pp. 742-757 ◽  
Author(s):  
Bin Liu
2012 ◽  
Vol 9 (4) ◽  
pp. 1277-1289 ◽  
Author(s):  
X. A. Zuo ◽  
J. M. H. Knops ◽  
X. Y. Zhao ◽  
H. L. Zhao ◽  
T. H. Zhang ◽  
...  

Abstract. Although patterns between plant diversity and ecosystem productivity have been much studied, a consistent relationship has not yet emerged. Differing patterns between plant diversity and productivity have been observed in response to spatial variability of environmental factors and vegetation composition. In this study, we measured vegetation cover, plant diversity, productivity, soil properties and site characteristics along an environmental gradient (mobile dune, semi-fixed dune, fixed dune, dry meadow, wet meadow and flood plain grasslands) of natural sandy grasslands in semiarid areas of northern China. We used multivariate analysis to examine the relationships between environmental factors, vegetation composition, plant diversity and productivity. We found a positive correlation between plant diversity and productivity. Vegetation composition aggregated by the ordination technique of non-metric multidimensional scaling had also a significantly positive correlation with plant diversity and productivity. Environmental gradients in relation to soil and topography affected the distribution patterns of vegetation composition, species diversity and productivity. However, environmental gradients were a better determinant of vegetation composition and productivity than of plant diversity. Structural equation modeling suggested that environmental factors determine vegetation composition, which in turn independently drives both plant diversity and productivity. Thus, the positive correlation between plant diversity and productivity is indirectly driven by vegetation composition, which is determined by environmental gradients in soil and topography.


2010 ◽  
Vol 19 (2) ◽  
pp. 233-243 ◽  
Author(s):  
Wenhong Ma ◽  
Jin-Sheng He ◽  
Yuanhe Yang ◽  
Xiangping Wang ◽  
Cunzhu Liang ◽  
...  

EDIS ◽  
2019 ◽  
Vol 2019 (4) ◽  
pp. 5
Author(s):  
Cliff Martin ◽  
Zachary Brym

This new 5-page document discusses plant diversity at the UF/IFAS Tropical Research and Education Center, environmental factors and human activities affecting these plants, assemblages of species based on levels of disturbance, human choice, and other factors, and the diverse needs these plants meet. Written by Cliff G. Martin and Zachary T. Brym, and published by the UF/IFAS Agronomy Department, June 2019. https://edis.ifas.ufl.edu/ag435


2011 ◽  
Vol 8 (6) ◽  
pp. 11795-11825
Author(s):  
X. A. Zuo ◽  
J. M. H. Knops ◽  
X. Y. Zhao ◽  
H. L. Zhao ◽  
Y. Q. Li ◽  
...  

Abstract. Although patterns between plant diversity and ecosystem productivity have been much studied, a consistent relationship has not yet emerged. Several different patterns have been observed both naturally and experimentally, likely caused by spatial variability of environmental factors and vegetation composition. In this study, we measured the vegetation cover, plant diversity, productivity, soil properties and site characteristics along an environment gradient of natural sandy grasslands (mobile dune, semi-fixed dune, fixed dune, dry meadow, wet meadow and flood plain grassland) in a semiarid area of Northern China. We used multivariate analysis to examine the relationships between environment factors, vegetation composition, plant diversity and productivity. We found a positive correlation between plant diversity and productivity. Vegetation composition had also a significantly positive correlation with plant diversity and productivity. Environment gradients in relation to soil properties and topography features affected the distribution patterns of species diversity, vegetation composition and productivity. However, environment gradients are a better determiner for vegetation composition and productivity than for species diversity. The analysis from optimization model of structural equation suggests that environmental factors determine vegetation composition, which in turn drives independently both plant diversity and productivity. Thus the positive correlation between plant diversity and productivity is not direct, but indirectly driven by the spatial pattern of vegetation composition determined by environment gradients in soil and topography.


2018 ◽  
Vol 29 (4) ◽  
pp. 704-714 ◽  
Author(s):  
Handanakere S. Dattaraja ◽  
Sandeep Pulla ◽  
Hebbalalu S. Suresh ◽  
Mavinakoppa S. Nagaraja ◽  
Chilakunda A. Srinivasa Murthy ◽  
...  

2009 ◽  
Vol 2009 (1) ◽  
pp. 43-48
Author(s):  
HU YuKun ◽  
LI KaiHui ◽  
GONG YanMing ◽  
YIN Wei

2010 ◽  
Vol 11 (2) ◽  
pp. 232-241 ◽  
Author(s):  
E. Santi ◽  
E. Mari ◽  
S. Piazzini ◽  
M. Renzi ◽  
G. Bacaro ◽  
...  

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