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Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis

Data on the distribution of plant species at spatial (grid) scales are required as input for integrative analysis along with related climate, environment, topography and soil data. Although the world’s scientific community is increasingly generating data on plant species at various spatial grids and...

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Autores principales: Tripathi, Poonam, Behera, Mukund Dev, Roy, Partha Sarathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352167/
https://www.ncbi.nlm.nih.gov/pubmed/28296954
http://dx.doi.org/10.1371/journal.pone.0173774
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author Tripathi, Poonam
Behera, Mukund Dev
Roy, Partha Sarathi
author_facet Tripathi, Poonam
Behera, Mukund Dev
Roy, Partha Sarathi
author_sort Tripathi, Poonam
collection PubMed
description Data on the distribution of plant species at spatial (grid) scales are required as input for integrative analysis along with related climate, environment, topography and soil data. Although the world’s scientific community is increasingly generating data on plant species at various spatial grids and statistically interpolating and extrapolating the available information, data on plant diversity from the Asian continent are scant. Such data are unavailable for India, the mainland of which has part of three of the world’s 36 biodiversity hotspots. Although sufficient field sampling is always impossible and impractical, it is essential to utilize fully any available database by adjudging the sampling sufficiency at a given scale. In this work, we used an exhaustive database of the plant species of the Indian mainland that was sufficient in terms of sampling vegetation types. We transformed the data, obtained the distribution at the 1° and 2° spatial grid levels and evaluated the sampling sufficiency at acceptable threshold limits (60% to 80%). The greatest species richness values recorded in the 0.04 ha quadrant, 1° grid and 2° grid were 59, 623 and 1244, respectively. Clench model was significantly (p value < 0.001) fitted using the plant species data at both the grid levels with a very high coefficient of determination (>0.95). At an acceptable threshold limit of 70%, almost all the grids at the 2° level and more than 80% of the grids at the 1° level were found to be sufficiently sampled. Sampling sufficiency was observed to be highly scale-dependent as a greater number of 2° grids attained asymptotic behaviour following the species–area curve. Grid-level sampling insufficiency was attributed to lower numbers of sampling quadrats in forests with poor approachability, which coincided with the world biodiversity hotspots’, suggesting that additional sampling was required. We prescribe the use of the 1° and 2° spatial grids with sufficient sampling for any ecological analysis in conjunction with other data and thereby offer grid-level plant species richness data for the Indian mainland for the first time.
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spelling pubmed-53521672017-04-06 Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis Tripathi, Poonam Behera, Mukund Dev Roy, Partha Sarathi PLoS One Research Article Data on the distribution of plant species at spatial (grid) scales are required as input for integrative analysis along with related climate, environment, topography and soil data. Although the world’s scientific community is increasingly generating data on plant species at various spatial grids and statistically interpolating and extrapolating the available information, data on plant diversity from the Asian continent are scant. Such data are unavailable for India, the mainland of which has part of three of the world’s 36 biodiversity hotspots. Although sufficient field sampling is always impossible and impractical, it is essential to utilize fully any available database by adjudging the sampling sufficiency at a given scale. In this work, we used an exhaustive database of the plant species of the Indian mainland that was sufficient in terms of sampling vegetation types. We transformed the data, obtained the distribution at the 1° and 2° spatial grid levels and evaluated the sampling sufficiency at acceptable threshold limits (60% to 80%). The greatest species richness values recorded in the 0.04 ha quadrant, 1° grid and 2° grid were 59, 623 and 1244, respectively. Clench model was significantly (p value < 0.001) fitted using the plant species data at both the grid levels with a very high coefficient of determination (>0.95). At an acceptable threshold limit of 70%, almost all the grids at the 2° level and more than 80% of the grids at the 1° level were found to be sufficiently sampled. Sampling sufficiency was observed to be highly scale-dependent as a greater number of 2° grids attained asymptotic behaviour following the species–area curve. Grid-level sampling insufficiency was attributed to lower numbers of sampling quadrats in forests with poor approachability, which coincided with the world biodiversity hotspots’, suggesting that additional sampling was required. We prescribe the use of the 1° and 2° spatial grids with sufficient sampling for any ecological analysis in conjunction with other data and thereby offer grid-level plant species richness data for the Indian mainland for the first time. Public Library of Science 2017-03-15 /pmc/articles/PMC5352167/ /pubmed/28296954 http://dx.doi.org/10.1371/journal.pone.0173774 Text en © 2017 Tripathi 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
Tripathi, Poonam
Behera, Mukund Dev
Roy, Partha Sarathi
Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis
title Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis
title_full Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis
title_fullStr Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis
title_full_unstemmed Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis
title_short Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis
title_sort optimized grid representation of plant species richness in india—utility of an existing national database in integrated ecological analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352167/
https://www.ncbi.nlm.nih.gov/pubmed/28296954
http://dx.doi.org/10.1371/journal.pone.0173774
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