scholarly journals Testing the causes of richness patterns in the paleotropics: time and diversification in cycads (Cycadaceae)

Ecography ◽  
2021 ◽  
Author(s):  
Jian Liu ◽  
Anders J. Lindstrom ◽  
Nathalie S. Nagalingum ◽  
John J. Wiens ◽  
Xun Gong
Keyword(s):  
Richness Patterns

scholarly journals The Effect of Climate and Human Pressures on Functional Diversity and Species Richness Patterns of Amphibians, Reptiles and Mammals in Europe

Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 275
Author(s):  
Mariana A. Tsianou ◽  
Maria Lazarina ◽  
Danai-Eleni Michailidou ◽  
Aristi Andrikou-Charitidou ◽  
Stefanos P. Sgardelis ◽  
...  
Keyword(s):  
Species Richness ◽  
Functional Diversity ◽  
Agricultural Land ◽  
Influential Factor ◽  
Climatic Variables ◽  
Quadratic Entropy ◽  
Functional Richness ◽  
Precipitation Seasonality ◽  
Rao’S Quadratic Entropy ◽  
Richness Patterns

The ongoing biodiversity crisis reinforces the urgent need to unravel diversity patterns and the underlying processes shaping them. Although taxonomic diversity has been extensively studied and is considered the common currency, simultaneously conserving other facets of diversity (e.g., functional diversity) is critical to ensure ecosystem functioning and the provision of ecosystem services. Here, we explored the effect of key climatic factors (temperature, precipitation, temperature seasonality, and precipitation seasonality) and factors reflecting human pressures (agricultural land, urban land, land-cover diversity, and human population density) on the functional diversity (functional richness and Rao’s quadratic entropy) and species richness of amphibians (68 species), reptiles (107 species), and mammals (176 species) in Europe. We explored the relationship between different predictors and diversity metrics using generalized additive mixed model analysis, to capture non-linear relationships and to account for spatial autocorrelation. We found that at this broad continental spatial scale, climatic variables exerted a significant effect on the functional diversity and species richness of all taxa. On the other hand, variables reflecting human pressures contributed significantly in the models even though their explanatory power was lower compared to climatic variables. In most cases, functional richness and Rao’s quadratic entropy responded similarly to climate and human pressures. In conclusion, climate is the most influential factor in shaping both the functional diversity and species richness patterns of amphibians, reptiles, and mammals in Europe. However, incorporating factors reflecting human pressures complementary to climate could be conducive to us understanding the drivers of functional diversity and richness patterns.

Species richness patterns, hotspots and phytogeographic affinities of thalloid liverworts (Marchantiophyta) and hornworts (Anthocerotophyta) of Sri Lanka

2021 ◽  
Vol 62 (2) ◽  
pp. 218-233
Author(s):  
N. C. Sumudu Ruklani ◽  
Sumudu C. K. Rubasinghe
Keyword(s):  
Species Richness ◽  
Sri Lanka ◽  
Richness Patterns

scholarly journals The Modeling and Forecasting of Carabid Beetle Distribution in Northwestern China

Insects ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 168
Author(s):  
Xueqin Liu ◽  
Hui Wang ◽  
Dahan He ◽  
Xinpu Wang ◽  
Ming Bai
Keyword(s):  
Generalized Additive Models ◽  
Additive Models ◽  
Carabid Beetle ◽  
Conservation Strategies ◽  
Environmental Predictors ◽  
Temperate Steppe ◽  
Temperature And Precipitation ◽  
Steppe Ecosystems ◽  
Modeling And Forecasting ◽  
Richness Patterns

Beetles are key insect species in global biodiversity and play a significant role in steppe ecosystems. In the temperate steppe of China, the increasing degeneration of the grasslands threatens beetle species and their habitat. Using Generalized Additive Models (GAMs), we aimed to predict and map beetle richness patterns within the temperate steppe of Ningxia (China). We tested 19 environmental predictors including climate, topography, soil moisture and space as well as vegetation. Climatic variables (temperature, precipitation, soil temperature) consistently appeared among the most important predictors for beetle groups modeled. GAM generated predictive cartography for the study area. Our models explained a significant percentage of the variation in carabid beetle richness (79.8%), carabid beetle richness distribution seems to be mainly influenced by temperature and precipitation. The results have important implications for management and conservation strategies and also provides evidence for assessing and making predictions of beetle diversity across the steppe.

scholarly journals Correction to: Species richness patterns, hotspots and phytogeographic affinities of thalloid liverworts (Marchantiophyta) and hornworts (Anthocerotophyta) of Sri Lanka

2021 ◽  
Vol 62 (2) ◽  
pp. 318-318
Author(s):  
N. C. Sumudu Ruklani ◽  
Sumudu C. K. Rubasinghe
Keyword(s):  
Species Richness ◽  
Sri Lanka ◽  
Richness Patterns

scholarly journals Arthropod community structure in pastures of an island archipelago (Azores): looking for local–regional species richness patterns at fine-scales

2004 ◽  
Vol 94 (2) ◽  
pp. 111-121 ◽  
Author(s):  
P.A.V. Borges ◽  
V.K. Brown
Keyword(s):  
Species Richness ◽  
Regional Scale ◽  
Local Scale ◽  
Local Species Richness ◽  
Β Diversity ◽  
Arthropod Species ◽  
Α Diversity ◽  
Local Species ◽  
Richness Patterns

AbstractThe arthropod species richness of pastures in three Azorean islands was used to examine the relationship between local and regional species richness over two years. Two groups of arthropods, spiders and sucking insects, representing two functionally different but common groups of pasture invertebrates were investigated. The local–regional species richness relationship was assessed over relatively fine scales: quadrats (= local scale) and within pastures (= regional scale). Mean plot species richness was used as a measure of local species richness (= α diversity) and regional species richness was estimated at the pasture level (= γ diversity) with the ‘first-order-Jackknife’ estimator. Three related issues were addressed: (i) the role of estimated regional species richness and variables operating at the local scale (vegetation structure and diversity) in determining local species richness; (ii) quantification of the relative contributions of α and β diversity to regional diversity using additive partitioning; and (iii) the occurrence of consistent patterns in different years by analysing independently between-year data. Species assemblages of spiders were saturated at the local scale (similar local species richness and increasing β-diversity in richer regions) and were more dependent on vegetational structure than regional species richness. Sucking insect herbivores, by contrast, exhibited a linear relationship between local and regional species richness, consistent with the proportional sampling model. The patterns were consistent between years. These results imply that for spiders local processes are important, with assemblages in a particular patch being constrained by habitat structure. In contrast, for sucking insects, local processes may be insignificant in structuring communities.

Nutrient concentrations and fibre contents of plant community biomass reflect species richness patterns along a broad range of land-use intensities among agricultural grasslands

2011 ◽  
Vol 13 (4) ◽  
pp. 287-295 ◽  
Author(s):  
Valentin H. Klaus ◽  
Till Kleinebecker ◽  
Norbert Hölzel ◽  
Nico Blüthgen ◽  
Steffen Boch ◽  
...  
Keyword(s):  
Land Use ◽  
Species Richness ◽  
Plant Community ◽  
Nutrient Concentrations ◽  
Community Biomass ◽  
Richness Patterns

From Forest to Farmland: Species Richness Patterns of Trees and Understorey Plants along a Gradient of Forest Conversion in Southwestern Cameroon

2006 ◽  
Vol 15 (13) ◽  
pp. 4097-4117 ◽  
Author(s):  
K. Serge Bobo ◽  
Matthias Waltert ◽  
N. Moses Sainge ◽  
John Njokagbor ◽  
Heleen Fermon ◽  
...  
Keyword(s):  
Species Richness ◽  
Forest Conversion ◽  
Richness Patterns ◽  
Understorey Plants

Relationships among Vegetation Structure, Canopy Composition, and Avian Richness Patterns across an Aspen-Conifer Forest Gradient

2017 ◽  
Vol 43 (3) ◽  
pp. 231-243 ◽  
Author(s):  
Charles E. Swift ◽  
Kerri T. Vierling ◽  
Andrew T. Hudak ◽  
Lee A. Vierling
Keyword(s):  
Vegetation Structure ◽  
Conifer Forest ◽  
Canopy Composition ◽  
Richness Patterns
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