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Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory

This study aimed at estimating temporal (1989–2018) change in forest cover, carbon stock and trend in corresponding CO(2) emissions/sequestration of a sub-tropical pine forest (STPF) in AJK, Pakistan. Our field inventory estimation shows an average above ground biomass (AAGB) accumulation of 0.145 K...

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Autores principales: Khan, Iftikhar Ahmad, Khan, Mobushir Riaz, Baig, Muhammad Hasan Ali, Hussain, Zaker, Hameed, Nasir, Khan, Junaid Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977729/
https://www.ncbi.nlm.nih.gov/pubmed/31971948
http://dx.doi.org/10.1371/journal.pone.0226341
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author Khan, Iftikhar Ahmad
Khan, Mobushir Riaz
Baig, Muhammad Hasan Ali
Hussain, Zaker
Hameed, Nasir
Khan, Junaid Aziz
author_facet Khan, Iftikhar Ahmad
Khan, Mobushir Riaz
Baig, Muhammad Hasan Ali
Hussain, Zaker
Hameed, Nasir
Khan, Junaid Aziz
author_sort Khan, Iftikhar Ahmad
collection PubMed
description This study aimed at estimating temporal (1989–2018) change in forest cover, carbon stock and trend in corresponding CO(2) emissions/sequestration of a sub-tropical pine forest (STPF) in AJK, Pakistan. Our field inventory estimation shows an average above ground biomass (AAGB) accumulation of 0.145 Kt/ha with average carbon stock (ACS) value of 0.072 Kt/ha. Landsat TM, ETM+ and OLI images of 1989, 1993, 1999, 2005, 2010, 2015 and 2018 were used to extract vegetation fractions through Linear Spectral Mixture Analysis (LSMA) and forest area was calculated for respective years. Based on the forest area and estimated ACS value, the biomass carbon stock with corresponding CO(2) emissions/sequestration was worked out for each time and change in forest carbon stock was determined for different time periods from 1989 to 2018. Our analysis shows net increase of 561 ha in forest cover and 40.39 Kt of ACS along with increase in corresponding CO(2) sequestrations of 147.83 Kt over the study period. The results based on combination of remote sensing and field inventory provide valuable information and scientific basis to plan and ensure sustainable forest management (SFM) through reforestation, protection and conservation to enhance and maintain adequate forest cover and reduce CO(2) emissions.
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spelling pubmed-69777292020-02-07 Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory Khan, Iftikhar Ahmad Khan, Mobushir Riaz Baig, Muhammad Hasan Ali Hussain, Zaker Hameed, Nasir Khan, Junaid Aziz PLoS One Research Article This study aimed at estimating temporal (1989–2018) change in forest cover, carbon stock and trend in corresponding CO(2) emissions/sequestration of a sub-tropical pine forest (STPF) in AJK, Pakistan. Our field inventory estimation shows an average above ground biomass (AAGB) accumulation of 0.145 Kt/ha with average carbon stock (ACS) value of 0.072 Kt/ha. Landsat TM, ETM+ and OLI images of 1989, 1993, 1999, 2005, 2010, 2015 and 2018 were used to extract vegetation fractions through Linear Spectral Mixture Analysis (LSMA) and forest area was calculated for respective years. Based on the forest area and estimated ACS value, the biomass carbon stock with corresponding CO(2) emissions/sequestration was worked out for each time and change in forest carbon stock was determined for different time periods from 1989 to 2018. Our analysis shows net increase of 561 ha in forest cover and 40.39 Kt of ACS along with increase in corresponding CO(2) sequestrations of 147.83 Kt over the study period. The results based on combination of remote sensing and field inventory provide valuable information and scientific basis to plan and ensure sustainable forest management (SFM) through reforestation, protection and conservation to enhance and maintain adequate forest cover and reduce CO(2) emissions. Public Library of Science 2020-01-23 /pmc/articles/PMC6977729/ /pubmed/31971948 http://dx.doi.org/10.1371/journal.pone.0226341 Text en © 2020 Khan 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
Khan, Iftikhar Ahmad
Khan, Mobushir Riaz
Baig, Muhammad Hasan Ali
Hussain, Zaker
Hameed, Nasir
Khan, Junaid Aziz
Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
title Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
title_full Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
title_fullStr Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
title_full_unstemmed Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
title_short Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory
title_sort assessment of forest cover and carbon stock changes in sub-tropical pine forest of azad jammu & kashmir (ajk), pakistan using multi-temporal landsat satellite data and field inventory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977729/
https://www.ncbi.nlm.nih.gov/pubmed/31971948
http://dx.doi.org/10.1371/journal.pone.0226341
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