NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Two Decades of Land Cover Change and Forest Fragmentation in Liberia: Consequences for the Contribution of Nature to PeopleThe Guinean forests of West Africa have been identified as a global biodiversity hotspot due to its exceptional concentrations of endemic species and exceptional loss of habitats. The majority of what remains of the Guinean forests lies within Liberia, a country whose share of total wealth is nearly equally distributed into human and natural capital. The Liberian government seeks a more inclusive development agenda that forges a path for improved human capital while sustainably managing its natural capital wealth, which requires consistent data on land cover change and forest disturbance over time. To address this need, Landsat data were used to map and quantify land cover change and forest fragmentation in Liberia between 2000 and 2018. In addition, LiDAR data from the Global Ecosystem Dynamics Investigation (GEDI) mission were applied to assess the integrity of forest remnants. Between 2000 and 2018, only 1% of all forest cover classes (i.e., dense/primary, open/secondary and sparse/degraded) were converted into non-forest classes, with the most observed change being between these three forest classes. During the study period, 27% of the dense/primary forest class transitioned to either the open/secondary or sparse/degraded canopy classes through consistent fragmentation along the edges of the last large remaining blocks of dense/primary forest located in the north-west and south-east of Liberia and more than 14% of dense/primary forest areas identified in previous studies as “essential natural capital” for either biodiversity, forest carbon storage or provision of freshwater ecosystem services were degraded. The 2018 GEDI-based measurements show that the overall average height of dense/primary forest decreases by 24% and 48%, and canopy closure decreases by 33% and 59%, when transitioned to the open/secondary and sparse/degraded classes, respectively. The information derived from this analysis will be critical for informing the development of new policies and actions, leading to more sustainable forest management in Liberia.
Document ID
20230008036
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Celio De Sousa ORCID
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Lola Fatoyinbo ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Miroslav Honzák
(Gordon and Betty Moore Foundation Palo Alto, California, United States)
Timothy Max Wright
(Gordon and Betty Moore Foundation Palo Alto, California, United States)
Paulo Jose Murillo Sandoval ORCID
(University of Tolima Ibagué, Colombia)
Zargou Elijah Whapoe
(Environmental Protection Agency of Liberia)
Jerry Yonmah
(World Bank)
Emmanuel Temitope Olatunji
(University of Liberia Monrovia, Liberia)
Jerry Garteh
( Society for Conservation of Nature of Liberia)
Atticus Stovall ORCID
(University of Maryland University College Adelphi, Maryland, United States)
Christopher S. R. Neigh ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Rosimeiry Portela
(Gordon and Betty Moore Foundation Palo Alto, California, United States)
Keith D. Gaddis ORCID
(National Aeronautics and Space Administration Washington D.C., District of Columbia, United States)
Trond Larsen
(Gordon and Betty Moore Foundation Palo Alto, California, United States)
Daniel Juhn
(Gordon and Betty Moore Foundation Palo Alto, California, United States)
Date Acquired
May 23, 2023
Publication Date
April 11, 2023
Publication Information
Publication: Conservation Science and Practice
Publisher: Wiley Open Access
Volume: 5
Issue: 6
Issue Publication Date: May 1, 2023
e-ISSN: 2578-4854
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 281945.02.03.11.70
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: 80NSSC22K0399
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
No Preview Available