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Modelling Hotspots for Invasive Alien Plants in India

Identification of invasion hotspots that support multiple invasive alien species (IAS) is a pre-requisite for control and management of invasion. However, till recently it remained a methodological challenge to precisely determine such invasive hotspots. We identified the hotspots of alien species i...

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Autores principales: Adhikari, Dibyendu, Tiwary, Raghuvar, Barik, Saroj Kanta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521859/
https://www.ncbi.nlm.nih.gov/pubmed/26230513
http://dx.doi.org/10.1371/journal.pone.0134665
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author Adhikari, Dibyendu
Tiwary, Raghuvar
Barik, Saroj Kanta
author_facet Adhikari, Dibyendu
Tiwary, Raghuvar
Barik, Saroj Kanta
author_sort Adhikari, Dibyendu
collection PubMed
description Identification of invasion hotspots that support multiple invasive alien species (IAS) is a pre-requisite for control and management of invasion. However, till recently it remained a methodological challenge to precisely determine such invasive hotspots. We identified the hotspots of alien species invasion in India through Ecological Niche Modelling (ENM) using species occurrence data from the Global Biodiversity Information Facility (GBIF). The predicted area of invasion for selected species were classified into 4 categories based on number of model agreements for a region i.e. high, medium, low and very low. About 49% of the total geographical area of India was predicted to be prone to invasion at moderate to high levels of climatic suitability. The intersection of anthropogenic biomes and ecoregions with the regions of 'high' climatic suitability was classified as hotspot of alien plant invasion. Nineteen of 47 ecoregions of India, harboured such hotspots. Most ecologically sensitive regions of India, including the 'biodiversity hotspots' and coastal regions coincide with invasion hotspots, indicating their vulnerability to alien plant invasion. Besides demonstrating the usefulness of ENM and open source data for IAS management, the present study provides a knowledge base for guiding the formulation of an effective policy and management strategy for controlling the invasive alien species.
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spelling pubmed-45218592015-08-06 Modelling Hotspots for Invasive Alien Plants in India Adhikari, Dibyendu Tiwary, Raghuvar Barik, Saroj Kanta PLoS One Research Article Identification of invasion hotspots that support multiple invasive alien species (IAS) is a pre-requisite for control and management of invasion. However, till recently it remained a methodological challenge to precisely determine such invasive hotspots. We identified the hotspots of alien species invasion in India through Ecological Niche Modelling (ENM) using species occurrence data from the Global Biodiversity Information Facility (GBIF). The predicted area of invasion for selected species were classified into 4 categories based on number of model agreements for a region i.e. high, medium, low and very low. About 49% of the total geographical area of India was predicted to be prone to invasion at moderate to high levels of climatic suitability. The intersection of anthropogenic biomes and ecoregions with the regions of 'high' climatic suitability was classified as hotspot of alien plant invasion. Nineteen of 47 ecoregions of India, harboured such hotspots. Most ecologically sensitive regions of India, including the 'biodiversity hotspots' and coastal regions coincide with invasion hotspots, indicating their vulnerability to alien plant invasion. Besides demonstrating the usefulness of ENM and open source data for IAS management, the present study provides a knowledge base for guiding the formulation of an effective policy and management strategy for controlling the invasive alien species. Public Library of Science 2015-07-31 /pmc/articles/PMC4521859/ /pubmed/26230513 http://dx.doi.org/10.1371/journal.pone.0134665 Text en © 2015 Adhikari 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Adhikari, Dibyendu
Tiwary, Raghuvar
Barik, Saroj Kanta
Modelling Hotspots for Invasive Alien Plants in India
title Modelling Hotspots for Invasive Alien Plants in India
title_full Modelling Hotspots for Invasive Alien Plants in India
title_fullStr Modelling Hotspots for Invasive Alien Plants in India
title_full_unstemmed Modelling Hotspots for Invasive Alien Plants in India
title_short Modelling Hotspots for Invasive Alien Plants in India
title_sort modelling hotspots for invasive alien plants in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521859/
https://www.ncbi.nlm.nih.gov/pubmed/26230513
http://dx.doi.org/10.1371/journal.pone.0134665
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