Changes of species richness pattern in mountain grasslands: abandonment versus restoration

2008 ◽  
Vol 17 (13) ◽  
pp. 3241-3253 ◽  
Author(s):  
Dobromil Galvánek ◽  
Jan Lepš
Keyword(s):  
Species Richness ◽  
Richness Pattern ◽  
Mountain Grasslands

scholarly journals Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients

Plants ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 625
Author(s):  
Bikram Pandey ◽  
Nirdesh Nepal ◽  
Salina Tripathi ◽  
Kaiwen Pan ◽  
Mohammed A. Dakhil ◽  
...  
Keyword(s):  
Species Richness ◽  
Distribution Pattern ◽  
Species Distribution ◽  
Environmental Variables ◽  
Environmental Indicators ◽  
Climatic Variables ◽  
Elevation Gradients ◽  
Hypothesis Model ◽  
Richness Pattern ◽  
Richness Patterns

Understanding the pattern of species distribution and the underlying mechanism is essential for conservation planning. Several climatic variables determine the species diversity, and the dependency of species on climate motivates ecologists and bio-geographers to explain the richness patterns along with elevation and environmental correlates. We used interpolated elevational distribution data to examine the relative importance of climatic variables in determining the species richness pattern of 26 species of gymnosperms in the longest elevation gradients in the world. Thirteen environmental variables were divided into three predictors set representing each hypothesis model (energy-water, physical-tolerance, and climatic-seasonality); to explain the species richness pattern of gymnosperms along the elevational gradient. We performed generalized linear models and variation partitioning to evaluate the relevant role of environmental variables on species richness patterns. Our findings showed that the gymnosperms’ richness formed a hump-shaped distribution pattern. The individual effect of energy-water predictor set was identified as the primary determinant of species richness. While, the joint effects of energy-water and physical-tolerance predictors have explained highest variations in gymnosperm distribution. The multiple environmental indicators are essential drivers of species distribution and have direct implications in understanding the effect of climate change on the species richness pattern.

scholarly journals Distribution pattern and species richness of Liliaceae in the Nepal Himalaya

Our Nature ◽  
2017 ◽  
Vol 14 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Hum Kala Rana ◽  
Santosh Kumar Rana ◽  
Suresh Kumar Ghimire
Keyword(s):  
Species Richness ◽  
Potential Distribution ◽  
Plant Conservation ◽  
Management Program ◽  
Nepal Himalaya ◽  
Creative Commons ◽  
Mountainous Regions ◽  
Central Nepal ◽  
Richness Pattern ◽  
High Species Richness

The most important aspect of plant conservation is to predict the potential distribution and its richness in response to climate change. Contributing to the management program, this study aimed to predict the distribution and richness pattern of Liliaceae in Nepal. The BIOCLIM in DIVA GIS 7.5 model based on distribution records of 19 species belonging to three subfamilies of Liliaceae (Lilioideae, Streptopoideae and Calochortoideae) and 19 climatic variables (derived from Worldclim), revealed that Lilioideae and Streptopoideae are potentially distributed in most of the hilly and mountainous regions of Nepal; whereas Calochortoideae mostly in Eastern and very scanty in Central Nepal. Lilioideae is projected to have high species richness in Central and Western Nepal as compared to other subfamilies. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

scholarly journals Species diversity and endemism: testing the mid-domain effect on species richness patterns of songbirds in the Palearctic Region

2008 ◽  
Vol 77 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Mansour Aliabadian ◽  
Ronald Sluys ◽  
Cees S. Roselaar ◽  
Vincent Nijman
Keyword(s):  
Species Richness ◽  
Explanatory Power ◽  
Empirical Support ◽  
Grid Cell ◽  
Distribution Patterns ◽  
Distribution Maps ◽  
Biogeographic Patterns ◽  
Palearctic Region ◽  
Richness Pattern ◽  
Constraint Model

Explanation of the spatial distribution patterns in species richness, and especially those of small-ranged species (endemics), bears relevance for studies on evolution and speciation, as well as for conservation management. We test a geometric constraint model, the mid-domain effect (MDE), as a possible explanation for spatial patterns of species richness in Palearctic songbirds (Passeriformes), with an emphasis on the patterns of small-ranged species. We calculated species richness based on digitised distribution maps of phylogenetic species of songbirds endemic to the Palearctic region. Data were plotted and analyzed over a one degree equal area map of the Palearctic Region, with a grid cell area of 4062 km². The emergent biogeographic patterns were analysed with WORLDMAP software. Comparison of the observed richness pattern among 2401 phylogenetic taxa of songbirds in the Palearctic Region with the predictions of a fully stochastic bi-dimensional MDE model revealed that this model has limited empirical support for overall species richness of Palearctic songbirds. Major hotspots were located south of the area where MDE predicted the highest species- richness, while some of the observed coldspots were in the centre of the Palearctic Region. Although small-ranged species are often found in areas with the highest species richness, MDE models have a very restricted explanatory power for the observed species-richness pattern in small-ranged species. Regions with a high number of small-ranged species (endemism hotspots) may contain a unique set of environmental conditions, unrelated to the shape or size of the domain, allowing a multitude of species to co-exist.

Global patterns of plant diversity and their evolutionary drivers

2020 ◽  
Author(s):  
Melanie Tietje ◽  
William J. Baker ◽  
Rafaël Govaerts ◽  
Stephen A. Smith ◽  
Miao Sun ◽  
...  
Keyword(s):  
Species Richness ◽  
Plant Diversity ◽  
Environmental Variables ◽  
Plant Species Richness ◽  
Richness Pattern ◽  
Forest Regions ◽  
Speciation Rates ◽  
Underlying Causes ◽  
Richness Patterns ◽  
Initial Results

<p>Spatial patterns of plant diversity follow the well-known global latitudinal biodiversity gradient, however there is little consensus about the underlying causes for this pattern. Here we present a spatial analysis of a complete checklist of the world’s seed plants, integrated with a comprehensive plant Tree of Life. This combination allows insights into the evolutionary drivers of plant species richness patterns, specifically current plant biodiversity patterns, and the diversification processes that shaped them. Our study provides a comprehensive global species richness map and relates the observed species richness pattern to speciation rates derived from phylogeny, and with environmental variables, which are hypothesized to impact speciation rates. Initial results show that tropical rain forest regions, although being areas that contain among the highest numbers of species, are regions with comparatively low speciation rates, contradicting the widespread notion that rainforests are “cradles” of biodiversity. This finding seems further supported by contrasting association of environmental variables, like precipitation and temperature, with speciation rates and species richness.</p>

scholarly journals Effects of fertilization and irrigation on vascular plant species richness, functional composition and yield in mountain grasslands

2021 ◽  
Vol 279 ◽  
pp. 111629
Author(s):  
Steffen Boch ◽  
Yasemin Kurtogullari ◽  
Eric Allan ◽  
Malie Lessard-Therrien ◽  
Nora Simone Rieder ◽  
...  
Keyword(s):  
Species Richness ◽  
Plant Species ◽  
Vascular Plant ◽  
Plant Species Richness ◽  
Functional Composition ◽  
Vascular Plant Species ◽  
Mountain Grasslands

scholarly journals The species richness pattern of vascular plants along a tropical elevational gradient and the test of elevational Rapoport's rule depend on different life‐forms and phytogeographic affinities

2019 ◽  
Vol 9 (8) ◽  
pp. 4495-4503 ◽  
Author(s):  
Yadong Zhou ◽  
Anne C. Ochola ◽  
Antony W. Njogu ◽  
Biyansa H. Boru ◽  
Geoffrey Mwachala ◽  
...  
Keyword(s):  
Species Richness ◽  
Vascular Plants ◽  
Elevational Gradient ◽  
Life Forms ◽  
Rapoport’S Rule ◽  
Richness Pattern
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