scholarly journals The impacts of human activities on tree species richness and diversity in Kakamega Forest, Western Kenya

2014 ◽  
Vol 6 (6) ◽  
pp. 428-435 ◽  
Author(s):  
Esther Vuyiya ◽  
Martha Konje ◽  
Harrison Tsingalia ◽  
Lenard Obiet ◽  
Charles Kigen ◽  
...  
Keyword(s):  
Species Richness ◽  
Tree Species ◽  
Human Activities ◽  
Western Kenya ◽  
Kakamega Forest ◽  
Species Richness And Diversity ◽  
Tree Species Richness

scholarly journals Tree species richness and diversity of the seasonally dry forest in Central Depression of Chiapas

2010 ◽  
Vol 87 ◽  
pp. 89 ◽  
Author(s):  
Ana Guadalupe Rocha-Loredo ◽  
Neptalí Ramírez-Marcial ◽  
Mario González-Espinosa
Keyword(s):  
Species Richness ◽  
Tree Species ◽  
Dry Forest ◽  
Seasonally Dry ◽  
Species Richness And Diversity ◽  
Central Depression ◽  
Tree Species Richness ◽  
Seasonally Dry Forest

scholarly journals Tree species richness as the element of structure and diversity in mixed stands of beech and valuable broadleaves

2012 ◽  
pp. 157-172
Author(s):  
Branko Stajic ◽  
Milivoj Vuckovic
Keyword(s):  
Species Richness ◽  
Tree Species ◽  
Woody Species ◽  
Forest Stands ◽  
Expected Number ◽  
Mixed Stands ◽  
Species Richness And Diversity ◽  
Number Of Species ◽  
Tree Species Richness ◽  
Ecological Unit

In our forest science and forest operations, the tree species richness and diversity of woody species in forest stands are most often evaluated based on the total number of tree species, which is a methodologically partly inadequate approach. For this reason, the quantification and the evaluation of diversity of woody species in mixed forests of beech with valuable broadleaves in the area of the National Park ?Djerdap? were analyzed by five different indices of tree species richness: number of species (S index), two indices of the species richness (R1 and R2), expected number of species in the sample with equal numbers of trees (E(S84)), and expected number of species in the sample with equal areas (E(S0,25ha)). The results showed that the level of woody species diversity in forest stands depended on the applied index characterizing the tree species richness. It was concluded that the tree species richness and diversity were the highest in the stands of ecological unit B (E(S84)=8.6 species) and in the stands of ecological unit G (E(S0,25ha)=9.4 species), and they were the lowest in the stands of ecological unit V (E(S84)=5.8 species, E(S0,25ha)=5.5 species).

scholarly journals Tree species richness and diversity predicts the magnitude of urban heat island mitigation effects of greenspaces

2021 ◽  
Vol 770 ◽  
pp. 145211
Author(s):  
Xinjun Wang ◽  
Martin Dallimer ◽  
Catherine E. Scott ◽  
Weiting Shi ◽  
Jixi Gao
Keyword(s):  
Species Richness ◽  
Urban Heat Island ◽  
Tree Species ◽  
Heat Island ◽  
Species Richness And Diversity ◽  
Tree Species Richness ◽  
Urban Heat

The mechanisms explaining tree species richness and composition are convergent in a megadiverse hotspot

2019 ◽  
Vol 29 (3) ◽  
pp. 799-815
Author(s):  
Victor P. Zwiener ◽  
André A. Padial ◽  
Márcia C. M. Marques
Keyword(s):  
Species Richness ◽  
Tree Species ◽  
Tree Species Richness

scholarly journals Spatial pattern of riparian plants along stream order among mountain rivers in China

2018 ◽  
Vol 9 (2) ◽  
pp. 322-330
Author(s):  
Rong Sun ◽  
Xiaojie Luo ◽  
Xiangyu Meng ◽  
Yan Wang
Keyword(s):  
Species Richness ◽  
Environmental Factors ◽  
Tree Species ◽  
Riparian Vegetation ◽  
Stream Order ◽  
River Continuum ◽  
Riparian Plants ◽  
Tree Species Richness ◽  
Riparian Species ◽  
Significant Difference

Abstract The streams in a watershed form a hierarchical network system. From the perspective of the river continuum, this classification system is the result of gradual increase in traffic. This study analyzed the riparian species richness, diversity and environmental factors along a six-order hierarchical mountain river in the Donghe watershed, China. A total of 34 sampling sites were sampled to study the spatial distribution of riparian plants among different stream orders. The results showed: Environmental factors among stream orders had significant differences. Among stream order, species richness showed remarkable differences. The species richness rose firstly and dropped afterwards except for tree species richness; tree species richness decreased while stream order increased. The same is true for shrub quadrat species richness. Shannon-Wiener diversity, Simpson dominance and Pielou uniformity showed significant difference among stream orders; Shannon-Wiener diversity rose firstly then dropped afterwards. For integrated environmental factors and community characteristics, we found the changes of stream orders had a significant impact on riparian habitats and riparian vegetation. Further analysis showed that riparian vegetation experienced different types and degrees of disturbance in different stream orders. This meant that a hierarchical management strategy should be applied to riparian vegetation management.

scholarly journals Factors Influencing the Natural Forest Regeneration at Khadimnagar National Park, Bangladesh

2021 ◽  
Vol 11 (1) ◽  
pp. 73-83
Author(s):  
MAHEDI HASAN LIMON ◽  
SAIDA HOSSAIN ARA ◽  
MOHAMMAD GOLAM KIBRIA
Keyword(s):  
Species Richness ◽  
Bulk Density ◽  
Total Variation ◽  
Soil Ph ◽  
Tree Species ◽  
Natural Regeneration ◽  
National Park ◽  
Canopy Openness ◽  
Site Factors ◽  
Tree Species Richness

Natural regeneration is an indicator of a healthy forest, hence, understanding the influence of site factors on natural regeneration is a significant concern for ecologists. This work aimed to assess the impact of site factors on natural tree regeneration at Khadimnagar National Park (KNP). Biotic factors (tree density, tree species richness, and basal area), physical factors (elevation, canopy openness), and soil properties (bulk density, moisture content, soil pH, organic matter, sand, silt, and clay) data were investigated from 71 sample plots to examine their effects on natural regeneration density and richness in KNP. Stepwise multiple linear regression analysis was done to predict both regeneration density and regeneration richness. The results showed that soil pH (p<0.001), canopy openness (p<0.001), tree species richness (p<0.01), and bulk density (p<0.01) had a significant effect on regeneration density, explaining 42% of the total variation. Regeneration richness was driven by four factors: tree species richness (p<0.01), soil pH (p<0.001), elevation (p<0.01), and canopy openness (p<0.01) with a model that explained 60% of the total variation. This study observed that soil pH, tree species richness, and canopy openness are the main controlling factors that influenced both the density and richness of regenerating species in KNP. Therefore, these findings have implications for natural resource management, especially in selecting suitable silvicultural systems in a tropical forest under protected area management where enhanced tree cover and conservation of biodiversity are needed.

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