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dc.contributor.author | Skole, David L.![]() |
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dc.contributor.author | Samek, Jay H.![]() |
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dc.contributor.author | Mbow, Cheikh![]() |
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dc.contributor.author | Chirwa, Michael![]() |
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dc.contributor.author | Ndalowa, Dan![]() |
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dc.contributor.author | Tumeo, Tangu![]() |
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dc.contributor.author | Kachamba, Daud![]() |
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dc.contributor.author | Kamoto, Judith![]() |
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dc.contributor.author | Chioza, Alfred![]() |
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dc.contributor.author | Kamangadazi, Francis![]() |
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dc.date.accessioned | 2022-02-23T06:52:08Z | |
dc.date.available | 2022-02-23T06:52:08Z | |
dc.date.issued | 2021-04-01 | |
dc.description.abstract | Spatial time-series measurements of forest degradation rates are important for estimating national greenhouse gas emissions but have been challenging for open forests and woodlands. This lack of quantitative data on forest degradation rates, location and biomass is an important constraint to developing national REDD+ policy. In Malawi, and in most countries in Africa, most assessments of forest cover change for carbon emissions monitoring tend to report only deforestation in the public forest estate managed by the government, even when important forest degradation also occurs in agricultural areas, such as customary forests and other tree-based systems. This study has resulted in: (a) a new robust forest map for Malawi, (b) spatial and quantitative measurements of both forest degradation and deforestation, and (c) a demonstration of the approach through the introduction of a tool that maps across the broad landscape of forests and trees outside of forests. The results can be used to support REDD+ National Forest Monitoring Systems. This analysis produces new estimates of landscape-wide deforestation rates between 2000–2009 (22,410 ha yr1) and 2009–2015 (38,937 ha yr1). We further produce new estimates of the rate of forest degradation between 2000– 2009 (42,961 ha yr1) and 2009–2015 (71,878 ha yr1). The contribution of these new tools and estimates to capacities for calculating carbon emissions are important, increasing prospects for full REDD+ readiness across semi-arid Africa. | en_ZA |
dc.description.department | Future Africa | en_ZA |
dc.description.librarian | am2022 | en_ZA |
dc.description.sponsorship | National Aeronautics and Space Administration, Land Cover and Land Use Change Program (LCLUC) and the APC was funded by NASA and Michigan State University. | en_ZA |
dc.description.uri | https://www.mdpi.com/journal/forests | en_ZA |
dc.identifier.citation | Skole, D.L.; Samek, J.H.; Mbow, C.; Chirwa, M.; Ndalowa, D.; Tumeo, T.; Kachamba, D.; Kamoto, J.; Chioza, A.; Kamangadazi, F. Direct Measurement of Forest Degradation Rates in Malawi: Toward a National Forest Monitoring System to Support REDD+. Forests 2021, 12, 426. https://DOI.org/10.3390/f12040426. | en_ZA |
dc.identifier.issn | 1999-4907 (online) | |
dc.identifier.other | 10.3390/f12040426 | |
dc.identifier.uri | http://hdl.handle.net/2263/84153 | |
dc.language.iso | en | en_ZA |
dc.publisher | MDPI | en_ZA |
dc.rights | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | en_ZA |
dc.subject | REDD+ | en_ZA |
dc.subject | Forest degradation | en_ZA |
dc.subject | Miombo | en_ZA |
dc.subject | Malawi | en_ZA |
dc.subject | Carbon emissions | en_ZA |
dc.subject | Deforestation | en_ZA |
dc.subject | Forest map | en_ZA |
dc.subject | Spatial measurement | en_ZA |
dc.subject | Quantitative measurement | en_ZA |
dc.subject | Forests | en_ZA |
dc.subject | Trees outside of forest | en_ZA |
dc.title | Direct measurement of forest degradation rates in Malawi : toward a national forest monitoring system to support REDD+ | en_ZA |
dc.type | Article | en_ZA |