Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh

Plantation forest has an immense potential for significantly contributing to the global carbon cycle for regulating climate change. Assessing the spatio-temporal distribution of plantation forest vegetation by analyzing Landsat land use/land cover (LULC) data can provide a logical basis for developi...

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Autores principales:	Muhammad Ziaul Hoque, Shenghui Cui, Imranul Islam, Lilai Xu, Shengping Ding
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Land use scenario Plantation forest Ecological protection Carbon storage CA-Markov model InVEST model Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/dd287c37a56f4ffe86e6b6da4e11653b
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spelling	oai:doaj.org-article:dd287c37a56f4ffe86e6b6da4e11653b2021-12-01T04:56:46ZDynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh1470-160X10.1016/j.ecolind.2021.107954https://doaj.org/article/dd287c37a56f4ffe86e6b6da4e11653b2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006191https://doaj.org/toc/1470-160XPlantation forest has an immense potential for significantly contributing to the global carbon cycle for regulating climate change. Assessing the spatio-temporal distribution of plantation forest vegetation by analyzing Landsat land use/land cover (LULC) data can provide a logical basis for developing ecological and environmental policies to effectively manage ecosystem carbon storage in the future. The study aimed at assessing and predicting dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh over 1988–2041 under three future land management scenarios: business-as-usual (BAU), economic development (ED), and ecological protection-afforestation (EPA) by linking CA-Markov and InVEST models. Findings from LULC change analysis revealed that during 1988–2018, plantation forest increased by 984.9 km2 (68.34%) leading to an overall increase in regional carbon storage, of 3.30 Tg C. Over 2018–2041, plantation forest land could be increased by 249.90, 361.24, and 472.14 km2 under the BAU, ED, and EPA scenarios, respectively, that may potentially increase future carbon storage by 0.64 Tg C, 0.91 Tg C, and 3.77 Tg C, respectively. However, the three future land management scenarios may lead to shortages of regional food supply, of 5.96%, 13.69%, and 11.06% respectively. The suitability maps of different LULC types created in this study could be useful to find out the potential areas of plantation forest development in the future and would provide a scientific basis for further discussion by policymakers on future land use planning, to minimize the trade-offs between food security and climate change adaptation.Muhammad Ziaul HoqueShenghui CuiImranul IslamLilai XuShengping DingElsevierarticleLand use scenarioPlantation forestEcological protectionCarbon storageCA-Markov modelInVEST modelEcologyQH540-549.5ENEcological Indicators, Vol 130, Iss , Pp 107954- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Land use scenario Plantation forest Ecological protection Carbon storage CA-Markov model InVEST model Ecology QH540-549.5
spellingShingle	Land use scenario Plantation forest Ecological protection Carbon storage CA-Markov model InVEST model Ecology QH540-549.5 Muhammad Ziaul Hoque Shenghui Cui Imranul Islam Lilai Xu Shengping Ding Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
description	Plantation forest has an immense potential for significantly contributing to the global carbon cycle for regulating climate change. Assessing the spatio-temporal distribution of plantation forest vegetation by analyzing Landsat land use/land cover (LULC) data can provide a logical basis for developing ecological and environmental policies to effectively manage ecosystem carbon storage in the future. The study aimed at assessing and predicting dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh over 1988–2041 under three future land management scenarios: business-as-usual (BAU), economic development (ED), and ecological protection-afforestation (EPA) by linking CA-Markov and InVEST models. Findings from LULC change analysis revealed that during 1988–2018, plantation forest increased by 984.9 km2 (68.34%) leading to an overall increase in regional carbon storage, of 3.30 Tg C. Over 2018–2041, plantation forest land could be increased by 249.90, 361.24, and 472.14 km2 under the BAU, ED, and EPA scenarios, respectively, that may potentially increase future carbon storage by 0.64 Tg C, 0.91 Tg C, and 3.77 Tg C, respectively. However, the three future land management scenarios may lead to shortages of regional food supply, of 5.96%, 13.69%, and 11.06% respectively. The suitability maps of different LULC types created in this study could be useful to find out the potential areas of plantation forest development in the future and would provide a scientific basis for further discussion by policymakers on future land use planning, to minimize the trade-offs between food security and climate change adaptation.
format	article
author	Muhammad Ziaul Hoque Shenghui Cui Imranul Islam Lilai Xu Shengping Ding
author_facet	Muhammad Ziaul Hoque Shenghui Cui Imranul Islam Lilai Xu Shengping Ding
author_sort	Muhammad Ziaul Hoque
title	Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
title_short	Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
title_full	Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
title_fullStr	Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
title_full_unstemmed	Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
title_sort	dynamics of plantation forest development and ecosystem carbon storage change in coastal bangladesh
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/dd287c37a56f4ffe86e6b6da4e11653b
work_keys_str_mv	AT muhammadziaulhoque dynamicsofplantationforestdevelopmentandecosystemcarbonstoragechangeincoastalbangladesh AT shenghuicui dynamicsofplantationforestdevelopmentandecosystemcarbonstoragechangeincoastalbangladesh AT imranulislam dynamicsofplantationforestdevelopmentandecosystemcarbonstoragechangeincoastalbangladesh AT lilaixu dynamicsofplantationforestdevelopmentandecosystemcarbonstoragechangeincoastalbangladesh AT shengpingding dynamicsofplantationforestdevelopmentandecosystemcarbonstoragechangeincoastalbangladesh
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Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh

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