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Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics

We examine the dynamics and spatial determinants of land change in India by integrating decadal land cover maps (1985–1995–2005) from a wall-to-wall analysis of Landsat images with spatiotemporal socioeconomic database for ~630,000 villages in India. We reinforce our results through collective evide...

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Detalles Bibliográficos
Autores principales: Meiyappan, Prasanth, Roy, Parth S., Sharma, Yeshu, Ramachandran, Reshma M., Joshi, Pawan K., DeFries, Ruth S., Jain, Atul K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064035/
https://www.ncbi.nlm.nih.gov/pubmed/32214900
http://dx.doi.org/10.1007/s10113-016-1068-2
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author Meiyappan, Prasanth
Roy, Parth S.
Sharma, Yeshu
Ramachandran, Reshma M.
Joshi, Pawan K.
DeFries, Ruth S.
Jain, Atul K.
author_facet Meiyappan, Prasanth
Roy, Parth S.
Sharma, Yeshu
Ramachandran, Reshma M.
Joshi, Pawan K.
DeFries, Ruth S.
Jain, Atul K.
author_sort Meiyappan, Prasanth
collection PubMed
description We examine the dynamics and spatial determinants of land change in India by integrating decadal land cover maps (1985–1995–2005) from a wall-to-wall analysis of Landsat images with spatiotemporal socioeconomic database for ~630,000 villages in India. We reinforce our results through collective evidence from synthesis of 102 case studies that incorporate field knowledge of the causes of land change in India. We focus on cropland–fallow land conversions, and forest area changes (excludes non-forest tree categories including commercial plantations). We show that cropland to fallow conversions are prominently associated with lack of irrigation and capital, male agricultural labor shortage, and fragmentation of land holdings. We find gross forest loss is substantial and increased from ~23,810 km(2) (1985–1995) to ~25,770 km(2) (1995–2005). The gross forest gain also increased from ~6000 km(2) (1985–1995) to ~7440 km(2) (1995–2005). Overall, India experienced a net decline in forest by ~18,000 km(2) (gross loss–gross gain) consistently during both decades. We show that the major source of forest loss was cropland expansion in areas of low cropland productivity (due to soil degradation and lack of irrigation), followed by industrial development and mining/quarrying activities, and excessive economic dependence of villages on forest resources. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10113-016-1068-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-70640352020-03-23 Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics Meiyappan, Prasanth Roy, Parth S. Sharma, Yeshu Ramachandran, Reshma M. Joshi, Pawan K. DeFries, Ruth S. Jain, Atul K. Reg Environ Change Original Article We examine the dynamics and spatial determinants of land change in India by integrating decadal land cover maps (1985–1995–2005) from a wall-to-wall analysis of Landsat images with spatiotemporal socioeconomic database for ~630,000 villages in India. We reinforce our results through collective evidence from synthesis of 102 case studies that incorporate field knowledge of the causes of land change in India. We focus on cropland–fallow land conversions, and forest area changes (excludes non-forest tree categories including commercial plantations). We show that cropland to fallow conversions are prominently associated with lack of irrigation and capital, male agricultural labor shortage, and fragmentation of land holdings. We find gross forest loss is substantial and increased from ~23,810 km(2) (1985–1995) to ~25,770 km(2) (1995–2005). The gross forest gain also increased from ~6000 km(2) (1985–1995) to ~7440 km(2) (1995–2005). Overall, India experienced a net decline in forest by ~18,000 km(2) (gross loss–gross gain) consistently during both decades. We show that the major source of forest loss was cropland expansion in areas of low cropland productivity (due to soil degradation and lack of irrigation), followed by industrial development and mining/quarrying activities, and excessive economic dependence of villages on forest resources. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10113-016-1068-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-10-27 2017 /pmc/articles/PMC7064035/ /pubmed/32214900 http://dx.doi.org/10.1007/s10113-016-1068-2 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Meiyappan, Prasanth
Roy, Parth S.
Sharma, Yeshu
Ramachandran, Reshma M.
Joshi, Pawan K.
DeFries, Ruth S.
Jain, Atul K.
Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics
title Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics
title_full Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics
title_fullStr Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics
title_full_unstemmed Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics
title_short Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics
title_sort dynamics and determinants of land change in india: integrating satellite data with village socioeconomics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064035/
https://www.ncbi.nlm.nih.gov/pubmed/32214900
http://dx.doi.org/10.1007/s10113-016-1068-2
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