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

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...

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Autores principales: Pandey, Bikram, Nepal, Nirdesh, Tripathi, Salina, Pan, Kaiwen, Dakhil, Mohammed A., Timilsina, Arbindra, Justine, Meta F., Koirala, Saroj, Nepali, Kamal B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285339/
https://www.ncbi.nlm.nih.gov/pubmed/32422935
http://dx.doi.org/10.3390/plants9050625
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author Pandey, Bikram
Nepal, Nirdesh
Tripathi, Salina
Pan, Kaiwen
Dakhil, Mohammed A.
Timilsina, Arbindra
Justine, Meta F.
Koirala, Saroj
Nepali, Kamal B.
author_facet Pandey, Bikram
Nepal, Nirdesh
Tripathi, Salina
Pan, Kaiwen
Dakhil, Mohammed A.
Timilsina, Arbindra
Justine, Meta F.
Koirala, Saroj
Nepali, Kamal B.
author_sort Pandey, Bikram
collection PubMed
description 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.
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spelling pubmed-72853392020-06-17 Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients Pandey, Bikram Nepal, Nirdesh Tripathi, Salina Pan, Kaiwen Dakhil, Mohammed A. Timilsina, Arbindra Justine, Meta F. Koirala, Saroj Nepali, Kamal B. Plants (Basel) Article 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. MDPI 2020-05-14 /pmc/articles/PMC7285339/ /pubmed/32422935 http://dx.doi.org/10.3390/plants9050625 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pandey, Bikram
Nepal, Nirdesh
Tripathi, Salina
Pan, Kaiwen
Dakhil, Mohammed A.
Timilsina, Arbindra
Justine, Meta F.
Koirala, Saroj
Nepali, Kamal B.
Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients
title Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients
title_full Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients
title_fullStr Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients
title_full_unstemmed Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients
title_short Distribution Pattern of Gymnosperms’ Richness in Nepal: Effect of Environmental Constrains along Elevational Gradients
title_sort distribution pattern of gymnosperms’ richness in nepal: effect of environmental constrains along elevational gradients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285339/
https://www.ncbi.nlm.nih.gov/pubmed/32422935
http://dx.doi.org/10.3390/plants9050625
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