Multivariate analysis of the effects of edaphic and topographical factors on plant distribution in the Yilong Lake Basin of Yun-Gui Plateau, China

2009 ◽  
Vol 89 (1) ◽  
pp. 211-221 ◽  
Author(s):  
B. S. Cui ◽  
H. J. Zhai ◽  
S. K. Dong ◽  
B. Chen ◽  
S. L. Liu
Keyword(s):  
Environmental Factors ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Species Distribution ◽  
Native Species ◽  
Plant Distribution ◽  
Slope Aspect ◽  
Lake Basin ◽  
Shrub Species ◽  
Herb Species

The relationships between environmental factors (soil and topography) and plant (shrub and herb) distribution on different hillside habitats in the Yilong Lake basin, southwest China, are examined. Surveys of 31 shrub sites and 31 herb sites, as well as seven edaphic and four topographic factors, on the northern and southern slopes around the Yilong Lake were performed monthly in October and November, 2004, and in November and December, 2005. Two-way indicator species analysis (TWINSPAN) was used to classify the plant communities, showing that the shrub community types on the northern and southern slopes were different, in contrast with the herb communities. Canonical correspondence analysis was conducted to clarify the relationships between vegetation and environmental factors in order to interpret the distribution of the communities and compare the relative importance among the environmental factors to the vegetation. The results showed that: (1) the combined effects of topography and soil explained 30.3% of the variability of shrub species distribution and 28.4% of the variability of herb species distribution; (2) the single effects of soil and topography explained 23.8 and 23.5% of shrub species distribution and 22.1 and 17.6% of herb species distribution, respectively; (3) slope aspect was the most important factor influencing shrub and herb distribution; and (4) specific site characteristics have important implications for effective vegetation management strategies and restoration of native species communities. Key words: Canonical correspondence analysis, ecology, soil, topography, vegetation distribution

scholarly journals Oligochaete (Annelida, Clitellata) сommunities in lakes of the Ural Mountains (Russia)

Zoosymposia ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. 77-94 ◽  
Author(s):  
MARIA BATURINA ◽  
TARMO TIMM ◽  
OLGA LOSKUTOVA
Keyword(s):  
Environmental Factors ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Species Abundance ◽  
Species Level ◽  
The Other ◽  
Ural Mountains ◽  
Factors Influencing ◽  
The Relationship

The oligochaete fauna of 25 lakes located in the Polar and Subpolar regions of the Ural Mountains in Russia was studied. In total, 46 oligochaete taxa were collected, 32 of them identified to species level. Naididae had the highest number of taxa (19); the other taxa belonged to Pristinidae (2), Enchytraeidae (6), Tubificidae (10), Lumbriculidae (8) and Lumbricidae (1). Canonical correspondence analysis (CCA) was used to characterize the relationship between abundance of oligochaete species, abundance and biomass of all oligochaetes, abundance of separate families and environmental factors. Latitude, elevation, silt, detritus, moss and algal periphyton and depth were found to be factors influencing the distribution of oligochaetes.

scholarly journals Autumn ichthyoplankton assemblage in the Yangtze Estuary shaped by environmental factors

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1922 ◽  
Author(s):  
Hui Zhang ◽  
Weiwei Xian ◽  
Shude Liu
Keyword(s):  
Environmental Factors ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Environmental Changes ◽  
Yangtze Estuary ◽  
Environmental Data ◽  
The Yangtze Estuary ◽  
Annual Variations ◽  
Trichiurus Lepturus ◽  
Seawater Salinity

This study investigated the response of the ichthyoplankton community to environmental changes in the Yangtze Estuary using canonical correspondence analysis. Ichthyoplankton community and environmental data were recorded during the autumns of 1998, 2000, 2002, 2003, 2004, 2007 and 2009. Among the ichthyoplankton, the dominant larval and juvenile families were the Engraulidae, Gobiidae and Salangidae, and the most common eggs were fromTrichiurus lepturus. The ichthyoplankton was identified via canonical correspondence analysis to three assemblages: an estuary assemblage dominated byChaeturichthys stigmatias, a coastal assemblage dominated byEngraulis japonicusandStolephorus commersonii, and an offshore assemblage dominated byTrichiurus lepturus. Regarding environmental factors in the Yangtze Estuary, suspended matter and surface seawater salinity were the main factors influencing the distributions of the different assemblages, while sediment from the Yangtze River during the rainy season and chlorophyllawere the principle drivers of the annual variances in the distribution of ichthyoplankton assemblages. Our aims in this study were to provide detailed characterizations of the ichthyoplankton assemblage in the autumns of seven years, examine the long-term dynamics of autumn ichthyoplankton assemblages, and evaluate the influence of environmental factors on the spatial distribution and inter-annual variations of ichthyoplankton assemblages associated with the Yangtze Estuary.

scholarly journals Karren Habitat as the Key in Influencing Plant Distribution and Species Diversity in Shilin Geopark, Southwest China

2020 ◽  
Vol 12 (14) ◽  
pp. 5808
Author(s):  
Kun Li ◽  
Mengyuan Zhang ◽  
Yilun Li ◽  
Xiaoyi Xing ◽  
Shuxin Fan ◽  
...  
Keyword(s):  
Species Diversity ◽  
Species Distribution ◽  
Southwest China ◽  
Plant Distribution ◽  
Karst Area ◽  
Slope Aspect ◽  
Karst Region ◽  
Herb Layer ◽  
Soil Thickness ◽  
Α Diversity

Karst rocky desertification (KRD) is one of the biggest challenges in the karst ecological restoration of Southwest China, and a thorough understanding of the plant community characteristics in various karren habitats provides a basis for mitigating KRD and restoring the degraded ecosystem. To improve our knowledge of the detailed characteristics and impact mechanisms of karren habitats on the species distribution and species diversity patterns of woody and herbaceous plants to benefit sustainable management and planting design for revegetation establishment in the karst region, a field investigation was carried out in the natural restoration vegetation of Shilin Geopark. The results indicated that karren habitats apparently determine the species diversity and composition. At the arbor layer, the habitat with the highest α diversity was solution corridor (SC), and at the shrub layer, grikes (GR) were the karren habitats with the most diverse communities. At the herb layer, solution rock debris (SRD) showed the highest richness of herbaceous species. The karren habitat features and topographic factors significantly influence plant α diversity and distribution. Soil area (SA) and canopy density (CD) were the dominant factors influencing plant diversity at the arbor, shrub and herb layers, soil thickness (ST) was significantly effective at the arbor and herb layers. Karren habitat height (KHH), litter thickness (LT), and slope gradient (SG) were significantly influential at the herb layer. The impacts of the karren habitat width (KHW), slope aspect (SAS), and SG on woody species distribution were significant. Knowledge obtained from this study will be helpful guidance for future sustainable restored vegetation design and management with high biodiversity and regional characteristics in the karst area of Southwest China and other fragile karst ecosystems in the world.

scholarly journals Application Natura 2000 Data For The Invasive Plants Spread Prediction

2015 ◽  
Vol 46 (4) ◽  
pp. 159-166 ◽  
Author(s):  
J. Pěknicová ◽  
D. Petrus ◽  
K. Berchová-Bímová
Keyword(s):  
Environmental Factors ◽  
Invasive Plants ◽  
Species Distribution ◽  
Natura 2000 ◽  
Distribution Model ◽  
Distribution Data ◽  
Habitat Types ◽  
Distribution Models ◽  
Occurrence Data ◽  
Heracleum Mantegazzianum

AbstractThe distribution of invasive plants depends on several environmental factors, e.g. on the distance from the vector of spreading, invaded community composition, land-use, etc. The species distribution models, a research tool for invasive plants spread prediction, involve the combination of environmental factors, occurrence data, and statistical approach. For the construction of the presented distribution model, the occurrence data on invasive plants (Solidagosp.,Fallopiasp.,Robinia pseudoaccacia,andHeracleum mantegazzianum) and Natura 2000 habitat types from the Protected Landscape Area Kokořínsko have been intersected in ArcGIS and statistically analyzed. The data analysis was focused on (1) verification of the accuracy of the Natura 2000 habitat map layer, and the accordance with the habitats occupied by invasive species and (2) identification of a suitable scale of intersection between the habitat and species distribution. Data suitability was evaluated for the construction of the model on local scale. Based on the data, the invaded habitat types were described and the optimal scale grid was evaluated. The results show the suitability of Natura 2000 habitat types for modelling, however more input data (e.g. on soil types, elevation) are needed.

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