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Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India

Railways are an indispensable component of sustainable transportation systems, but also exact a toll on wildlife. Wild Asian elephants are often killed by trains in Assam, India, where we assess temporal variations in the occurrences of elephant-train collisions (ETCs) and casualties during 1990–201...

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Autores principales: Ahmed, Rekib, Saikia, Anup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278769/
https://www.ncbi.nlm.nih.gov/pubmed/35830377
http://dx.doi.org/10.1371/journal.pone.0271416
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author Ahmed, Rekib
Saikia, Anup
author_facet Ahmed, Rekib
Saikia, Anup
author_sort Ahmed, Rekib
collection PubMed
description Railways are an indispensable component of sustainable transportation systems, but also exact a toll on wildlife. Wild Asian elephants are often killed by trains in Assam, India, where we assess temporal variations in the occurrences of elephant-train collisions (ETCs) and casualties during 1990–2018. This study also assesses spatially varying relationships between elephant-train collision (ETC) rates and elephant and train densities in the adjoining 10 km(2) grid cells of 11 prioritized railroad segments using ordinary least squares (OLS) and geographically weighted regression (GWR) models. The temporal analysis indicated that ETCs spiked at certain hours and months. The adult and calf elephant casualties on the railroads were found to be two to fivefold high during the post monsoon season compared to other seasons. During the operation period of meter gauge railroads (1990–1997), the proportions of ETCs and casualties were only 15.6% and 8.7% respectively. However, these increased substantially to 84.4% and 91.3% respectively during the operation of broad gauge railroads (1998–2018). The OLS model indicated that both elephant and train densities explained 37% of the variance of ETC rate, while GWR model showed 83% of the variance of ETC rate. The local coefficient values of GWR indicated that both the predictor variables interplayed significantly and positively to determine ETC rates in the Mariani-Nakachari and Khatkhati-Dimapur railroad segments. However, the relationship between ETC rate and elephant density is significantly negative in the Habaipur-Diphu railroad, implying that the elephant population along this railroad stretch is significantly affected by railways through large scale ETCs. Hence, there is an urgent need to address long-term mitigation strategies so that elephants can be conserved by providing safe passages and survival resources along railway lines.
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spelling pubmed-92787692022-07-14 Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India Ahmed, Rekib Saikia, Anup PLoS One Research Article Railways are an indispensable component of sustainable transportation systems, but also exact a toll on wildlife. Wild Asian elephants are often killed by trains in Assam, India, where we assess temporal variations in the occurrences of elephant-train collisions (ETCs) and casualties during 1990–2018. This study also assesses spatially varying relationships between elephant-train collision (ETC) rates and elephant and train densities in the adjoining 10 km(2) grid cells of 11 prioritized railroad segments using ordinary least squares (OLS) and geographically weighted regression (GWR) models. The temporal analysis indicated that ETCs spiked at certain hours and months. The adult and calf elephant casualties on the railroads were found to be two to fivefold high during the post monsoon season compared to other seasons. During the operation period of meter gauge railroads (1990–1997), the proportions of ETCs and casualties were only 15.6% and 8.7% respectively. However, these increased substantially to 84.4% and 91.3% respectively during the operation of broad gauge railroads (1998–2018). The OLS model indicated that both elephant and train densities explained 37% of the variance of ETC rate, while GWR model showed 83% of the variance of ETC rate. The local coefficient values of GWR indicated that both the predictor variables interplayed significantly and positively to determine ETC rates in the Mariani-Nakachari and Khatkhati-Dimapur railroad segments. However, the relationship between ETC rate and elephant density is significantly negative in the Habaipur-Diphu railroad, implying that the elephant population along this railroad stretch is significantly affected by railways through large scale ETCs. Hence, there is an urgent need to address long-term mitigation strategies so that elephants can be conserved by providing safe passages and survival resources along railway lines. Public Library of Science 2022-07-13 /pmc/articles/PMC9278769/ /pubmed/35830377 http://dx.doi.org/10.1371/journal.pone.0271416 Text en © 2022 Ahmed, Saikia https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Ahmed, Rekib
Saikia, Anup
Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India
title Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India
title_full Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India
title_fullStr Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India
title_full_unstemmed Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India
title_short Pandora’s Box: A spatiotemporal assessment of elephant-train casualties in Assam, India
title_sort pandora’s box: a spatiotemporal assessment of elephant-train casualties in assam, india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278769/
https://www.ncbi.nlm.nih.gov/pubmed/35830377
http://dx.doi.org/10.1371/journal.pone.0271416
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