Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya

The spatial distributions of plant species are results of variable environmental gradients, including climatic and edaphic factors, biotic factors, different eco-physiological processes, species-specific characteristics, and resource requirements, thus producing spatial heterogeneity. The species di...

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Autores principales:	Balwant Rawat, Kailash S. Gaira, Sanjay Gairola, Lalit Mohan Tewari, Ranbeer S. Rawal
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Elevation gradient Generalized additive model Species density Species diversity Tree vegetation West Himalaya Forestry SD1-669.5 Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/89872018c2534b389cf19e9eccded65f
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spelling	oai:doaj.org-article:89872018c2534b389cf19e9eccded65f2021-12-04T04:36:10ZSpatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya2666-719310.1016/j.tfp.2021.100132https://doaj.org/article/89872018c2534b389cf19e9eccded65f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666719321000716https://doaj.org/toc/2666-7193The spatial distributions of plant species are results of variable environmental gradients, including climatic and edaphic factors, biotic factors, different eco-physiological processes, species-specific characteristics, and resource requirements, thus producing spatial heterogeneity. The species distribution and their rate of change across elevational gradients in nineteen forest communities were studied using the quadrat method and statistical modeling tools. Pindari-Sunderdhunga-Kafni (PSK) area of the Kumaun region and the Lata-Tolma-Phagti (LTP) area in the Garhwal region in the buffer zone of Nanda Devi Biosphere Reserve were selected as the extensive study sites. A total of 4278 individual trees belonging to 42 families in the PSK site and 6436 individual trees belonging to 25 families in the LTP site were recorded across elevational gradients between 2050 to 3800 m a.s.l. Because of the narrow elevational range and complexity in the field-based data structure, Generalized Additive Model (GAM) was used to predict the rate of change of species richness and species density. The results showed a significant decrease in density at a rate of 319–355 ind ha-1 per 100 m elevation in the Pindari-Sunderdhunga-Kafni site (P < 0.01) while increasing patterns (53–56 ind ha-1 per 100 m elevation) in the Lata-Tolma-Phagti site (p < 0.01) was recorded. The decreasing trend for species richness was observed in Lata-Tolma-Phagti site significantly (p< 0.02) across elevation. This study, for the first time in the Indian Himalayan region, underlines the rate of change in species richness (per 1000 m elevation) and density (per 100 m elevation) across elevational gradients. The overall vegetation response may perhaps be considered as an influence of boundary constraint associated with different environmental factors; however, more datasets of vegetation dynamics and responses are required to further strengthen this premise.Balwant RawatKailash S. GairaSanjay GairolaLalit Mohan TewariRanbeer S. RawalElsevierarticleElevation gradientGeneralized additive modelSpecies densitySpecies diversityTree vegetationWest HimalayaForestrySD1-669.5Plant ecologyQK900-989ENTrees, Forests and People, Vol 6, Iss , Pp 100132- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Elevation gradient Generalized additive model Species density Species diversity Tree vegetation West Himalaya Forestry SD1-669.5 Plant ecology QK900-989
spellingShingle	Elevation gradient Generalized additive model Species density Species diversity Tree vegetation West Himalaya Forestry SD1-669.5 Plant ecology QK900-989 Balwant Rawat Kailash S. Gaira Sanjay Gairola Lalit Mohan Tewari Ranbeer S. Rawal Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya
description	The spatial distributions of plant species are results of variable environmental gradients, including climatic and edaphic factors, biotic factors, different eco-physiological processes, species-specific characteristics, and resource requirements, thus producing spatial heterogeneity. The species distribution and their rate of change across elevational gradients in nineteen forest communities were studied using the quadrat method and statistical modeling tools. Pindari-Sunderdhunga-Kafni (PSK) area of the Kumaun region and the Lata-Tolma-Phagti (LTP) area in the Garhwal region in the buffer zone of Nanda Devi Biosphere Reserve were selected as the extensive study sites. A total of 4278 individual trees belonging to 42 families in the PSK site and 6436 individual trees belonging to 25 families in the LTP site were recorded across elevational gradients between 2050 to 3800 m a.s.l. Because of the narrow elevational range and complexity in the field-based data structure, Generalized Additive Model (GAM) was used to predict the rate of change of species richness and species density. The results showed a significant decrease in density at a rate of 319–355 ind ha-1 per 100 m elevation in the Pindari-Sunderdhunga-Kafni site (P < 0.01) while increasing patterns (53–56 ind ha-1 per 100 m elevation) in the Lata-Tolma-Phagti site (p < 0.01) was recorded. The decreasing trend for species richness was observed in Lata-Tolma-Phagti site significantly (p< 0.02) across elevation. This study, for the first time in the Indian Himalayan region, underlines the rate of change in species richness (per 1000 m elevation) and density (per 100 m elevation) across elevational gradients. The overall vegetation response may perhaps be considered as an influence of boundary constraint associated with different environmental factors; however, more datasets of vegetation dynamics and responses are required to further strengthen this premise.
format	article
author	Balwant Rawat Kailash S. Gaira Sanjay Gairola Lalit Mohan Tewari Ranbeer S. Rawal
author_facet	Balwant Rawat Kailash S. Gaira Sanjay Gairola Lalit Mohan Tewari Ranbeer S. Rawal
author_sort	Balwant Rawat
title	Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya
title_short	Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya
title_full	Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya
title_fullStr	Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya
title_full_unstemmed	Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya
title_sort	spatial prediction of plant species richness and density in high-altitude forests of indian west himalaya
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/89872018c2534b389cf19e9eccded65f
work_keys_str_mv	AT balwantrawat spatialpredictionofplantspeciesrichnessanddensityinhighaltitudeforestsofindianwesthimalaya AT kailashsgaira spatialpredictionofplantspeciesrichnessanddensityinhighaltitudeforestsofindianwesthimalaya AT sanjaygairola spatialpredictionofplantspeciesrichnessanddensityinhighaltitudeforestsofindianwesthimalaya AT lalitmohantewari spatialpredictionofplantspeciesrichnessanddensityinhighaltitudeforestsofindianwesthimalaya AT ranbeersrawal spatialpredictionofplantspeciesrichnessanddensityinhighaltitudeforestsofindianwesthimalaya
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Spatial prediction of plant species richness and density in high-altitude forests of Indian west Himalaya

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