Analysing patterns of forest cover change and related land uses in the Tano-Offin forest reserve in GhanaImplications for forest policy and land management

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Analysing patterns of forest cover change and related land uses in the Tano-Offin forest reserve in Ghana : Implications for forest policy and land management. / Oduro Appiah, Joseph; Agyemang-Duah, Williams; Sobeng, Augustus Kweku; Kpienbaareh, Daniel.

In: Trees, Forests and People, Vol. 5, 100105, 01.09.2021.

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Oduro Appiah, Joseph ; Agyemang-Duah, Williams ; Sobeng, Augustus Kweku ; Kpienbaareh, Daniel. / Analysing patterns of forest cover change and related land uses in the Tano-Offin forest reserve in Ghana : Implications for forest policy and land management. In: Trees, Forests and People. 2021 ; Vol. 5.

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@article{649031bc3a1948baa98d8fe27e4704df,
title = "Analysing patterns of forest cover change and related land uses in the Tano-Offin forest reserve in Ghana: Implications for forest policy and land management",
abstract = "Forest cover change is a major contributing factor to global environmental change. Whereas several studies have focused on the general land use and land cover dynamics, we focus on analysing forest cover change patterns in a protected landscape taking into consideration how other land categories are increasing at the expense of the forest. In this study, we analyse forest cover change patterns and associated proximate land use factors between 1987 and 2017 using Landsat images from the Tano-Offin Forest Reserve (TOFR) in Ghana. Using the Random Forest machine learning algorithm, we classified the images into forest, developed land, and agricultural land. The study finds that forest cover losses are 1.9 and 1.4 times the amount of forest cover gains in 1987–2002 and 2002–2017, respectively. We find that even though the forest cover is more likely to recover from the agricultural land, land developers mostly targeted the agricultural land. The focus of Ghana's Forest and Wildlife Policy and the underlying process of forest cover change in the TOFR suggest that a country's forest policy should focus on a combination of diverse and spatially explicit proximate factors that are likely to threaten the integrity of forests.",
keywords = "Forest cover losses, Globally significant biodiversity area, Intensity analysis, Land transitions, Remote sensing, Rural livelihood",
author = "{Oduro Appiah}, Joseph and Williams Agyemang-Duah and Sobeng, {Augustus Kweku} and Daniel Kpienbaareh",
note = "Funding Information: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors wish to declare that they have no conflict of interest. This study did not involve any human subjects. Publisher Copyright: {\textcopyright} 2021 The Authors",
year = "2021",
month = jun,
day = "3",
doi = "10.1016/j.tfp.2021.100105",
language = "English",
volume = "5",
journal = "Trees, Forests and People",
issn = "2666-7193",
publisher = "Elsevier",

}

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TY - JOUR

T1 - Analysing patterns of forest cover change and related land uses in the Tano-Offin forest reserve in Ghana

T2 - Implications for forest policy and land management

AU - Oduro Appiah, Joseph

AU - Agyemang-Duah, Williams

AU - Sobeng, Augustus Kweku

AU - Kpienbaareh, Daniel

N1 - Funding Information: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors wish to declare that they have no conflict of interest. This study did not involve any human subjects. Publisher Copyright: © 2021 The Authors

PY - 2021/6/3

Y1 - 2021/6/3

N2 - Forest cover change is a major contributing factor to global environmental change. Whereas several studies have focused on the general land use and land cover dynamics, we focus on analysing forest cover change patterns in a protected landscape taking into consideration how other land categories are increasing at the expense of the forest. In this study, we analyse forest cover change patterns and associated proximate land use factors between 1987 and 2017 using Landsat images from the Tano-Offin Forest Reserve (TOFR) in Ghana. Using the Random Forest machine learning algorithm, we classified the images into forest, developed land, and agricultural land. The study finds that forest cover losses are 1.9 and 1.4 times the amount of forest cover gains in 1987–2002 and 2002–2017, respectively. We find that even though the forest cover is more likely to recover from the agricultural land, land developers mostly targeted the agricultural land. The focus of Ghana's Forest and Wildlife Policy and the underlying process of forest cover change in the TOFR suggest that a country's forest policy should focus on a combination of diverse and spatially explicit proximate factors that are likely to threaten the integrity of forests.

AB - Forest cover change is a major contributing factor to global environmental change. Whereas several studies have focused on the general land use and land cover dynamics, we focus on analysing forest cover change patterns in a protected landscape taking into consideration how other land categories are increasing at the expense of the forest. In this study, we analyse forest cover change patterns and associated proximate land use factors between 1987 and 2017 using Landsat images from the Tano-Offin Forest Reserve (TOFR) in Ghana. Using the Random Forest machine learning algorithm, we classified the images into forest, developed land, and agricultural land. The study finds that forest cover losses are 1.9 and 1.4 times the amount of forest cover gains in 1987–2002 and 2002–2017, respectively. We find that even though the forest cover is more likely to recover from the agricultural land, land developers mostly targeted the agricultural land. The focus of Ghana's Forest and Wildlife Policy and the underlying process of forest cover change in the TOFR suggest that a country's forest policy should focus on a combination of diverse and spatially explicit proximate factors that are likely to threaten the integrity of forests.

KW - Forest cover losses

KW - Globally significant biodiversity area

KW - Intensity analysis

KW - Land transitions

KW - Remote sensing

KW - Rural livelihood

UR - http://www.scopus.com/inward/record.url?scp=85108276251&partnerID=8YFLogxK

U2 - 10.1016/j.tfp.2021.100105

DO - 10.1016/j.tfp.2021.100105

M3 - Article

VL - 5

JO - Trees, Forests and People

JF - Trees, Forests and People

SN - 2666-7193

M1 - 100105

ER -

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