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Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya

Elevational gradients are considered important for understanding causes behind gradients in species richness due to the large variation in climate and habitat within a small spatial extent. Geometric constraints are thought to interact with environmental variables and influence elevational patterns...

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Autores principales: Marathe, Aniruddha, Priyadarsanan, Dharma Rajan, Krishnaswamy, Jagdish, Shanker, Kartik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961925/
https://www.ncbi.nlm.nih.gov/pubmed/31940414
http://dx.doi.org/10.1371/journal.pone.0227628
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author Marathe, Aniruddha
Priyadarsanan, Dharma Rajan
Krishnaswamy, Jagdish
Shanker, Kartik
author_facet Marathe, Aniruddha
Priyadarsanan, Dharma Rajan
Krishnaswamy, Jagdish
Shanker, Kartik
author_sort Marathe, Aniruddha
collection PubMed
description Elevational gradients are considered important for understanding causes behind gradients in species richness due to the large variation in climate and habitat within a small spatial extent. Geometric constraints are thought to interact with environmental variables and influence elevational patterns in species richness. However, the geographic setting of most mountain ranges, particularly continuity with low elevation areas may reduce the effect of geometric constraints at lower elevations. In the present study, we test the effects of climatic gradients and continuity with the low elevation plains of the eastern Himalayan mountain range on patterns of species richness. We studied species richness of ants (Hymenoptera: Formicidae) on an elevational gradient between 600m and 2400m in the Eastern Himalaya–part of Himalaya biodiversity hotspot. Ants were sampled in nine elevational bands of 200m with four transects in each band using pitfall and Winkler traps. We used regression models to identify the most important environmental variables that predict species richness and used constrained null models to test the effects of contiguity between the mountain range and plains. We find a monotonic decline in species richness of ants with elevation. Temperature was a more important predictor of species richness than habitat complexity. Geometric constraints model weighted by temperature with a soft lower boundary and hard upper boundary best explained the species richness pattern. This suggests that a combination of climate and geometric constraints drive the elevational species richness patterns of ants.
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spelling pubmed-69619252020-01-26 Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya Marathe, Aniruddha Priyadarsanan, Dharma Rajan Krishnaswamy, Jagdish Shanker, Kartik PLoS One Research Article Elevational gradients are considered important for understanding causes behind gradients in species richness due to the large variation in climate and habitat within a small spatial extent. Geometric constraints are thought to interact with environmental variables and influence elevational patterns in species richness. However, the geographic setting of most mountain ranges, particularly continuity with low elevation areas may reduce the effect of geometric constraints at lower elevations. In the present study, we test the effects of climatic gradients and continuity with the low elevation plains of the eastern Himalayan mountain range on patterns of species richness. We studied species richness of ants (Hymenoptera: Formicidae) on an elevational gradient between 600m and 2400m in the Eastern Himalaya–part of Himalaya biodiversity hotspot. Ants were sampled in nine elevational bands of 200m with four transects in each band using pitfall and Winkler traps. We used regression models to identify the most important environmental variables that predict species richness and used constrained null models to test the effects of contiguity between the mountain range and plains. We find a monotonic decline in species richness of ants with elevation. Temperature was a more important predictor of species richness than habitat complexity. Geometric constraints model weighted by temperature with a soft lower boundary and hard upper boundary best explained the species richness pattern. This suggests that a combination of climate and geometric constraints drive the elevational species richness patterns of ants. Public Library of Science 2020-01-15 /pmc/articles/PMC6961925/ /pubmed/31940414 http://dx.doi.org/10.1371/journal.pone.0227628 Text en © 2020 Marathe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Marathe, Aniruddha
Priyadarsanan, Dharma Rajan
Krishnaswamy, Jagdish
Shanker, Kartik
Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya
title Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya
title_full Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya
title_fullStr Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya
title_full_unstemmed Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya
title_short Spatial and climatic variables independently drive elevational gradients in ant species richness in the Eastern Himalaya
title_sort spatial and climatic variables independently drive elevational gradients in ant species richness in the eastern himalaya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961925/
https://www.ncbi.nlm.nih.gov/pubmed/31940414
http://dx.doi.org/10.1371/journal.pone.0227628
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