Show simple item record

dc.contributorMponela, Powellen_US
dc.contributorSileshi, Gudeta W.en_US
dc.contributorChen, Jiquanen_US
dc.contributorTondoh, Jeromeen_US
dc.creatorTamene, Lulsegeden_US
dc.date2016-03-04en_US
dc.date.accessioned2016-03-23T07:10:06Z
dc.date.available2016-03-23T07:10:06Z
dc.identifierhttp://www.mdpi.com/1999-4907/7/3/57en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/2Ei3w9S5en_US
dc.identifier.citationLulseged Tamene, Powell Mponela, Gudeta W. Sileshi, Jiquan Chen, Jerome Tondoh. (4/3/2016). Spatial Variation in Tree Density and Estimated Aboveground Carbon Stocks in Southern Africa. Forests, 7(3), pp. 57-75.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/4579
dc.description.abstractVariability in woody plant species, vegetation assemblages and anthropogenic activities derails the efforts to have common approaches for estimating biomass and carbon stocks in Africa. In order to suggest management options, it is important to understand the vegetation dynamics and the major drivers governing the observed conditions. This study uses data from 29 sentinel landscapes (4640 plots) across the southern Africa. We used T-Square distance method to sample trees. Allometric models were used to estimate aboveground tree biomass from which aboveground biomass carbon stock (AGBCS) was derived for each site. Results show average tree density of 502 trees·ha−1 with semi-arid areas having the highest (682 trees·ha−1) and arid regions the lowest (393 trees·ha−1). The overall AGBCS was 56.4 Mg·ha−1. However, significant site to site variability existed across the region. Over 60 fold differences were noted between the lowest AGBCS (2.2 Mg·ha−1) in the Musungwa plains of Zambia and the highest (138.1 Mg·ha−1) in the scrublands of Kenilworth in Zimbabwe. Semi-arid and humid sites had higher carbon stocks than sites in sub-humid and arid regions. Anthropogenic activities also influenced the observed carbon stocks. Repeated measurements would reveal future trends in tree cover and carbon stocks across different systems.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherMDPIen_US
dc.rightsCC-BY-NC-SA-4.0en_US
dc.sourceForests;7,(2016) Pagination 57,75en_US
dc.subjectforesten_US
dc.subjectbaseline surveyen_US
dc.titleSpatial Variation in Tree Density and Estimated Aboveground Carbon Stocks in Southern Africaen_US
dc.typeJournal Articleen_US
cg.creator.idTamene, Lulseged: 0000-0002-3806-8890en_US
cg.creator.idMponela, Powell: 0000-0003-4269-0663en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocecosystem servicesen_US
cg.subject.agrovocland useen_US
cg.contributor.centerInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.centerWorld Agroforestry Center - ICRAFen_US
cg.contributor.centerUniversity of Toledo, College of Natural Sciences and Mathematics - UTOLEDO-NSMen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.regionMiddle Africaen_US
cg.coverage.regionSouthern Africaen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.countryAOen_US
cg.coverage.countryBWen_US
cg.coverage.countryMWen_US
cg.coverage.countryMZen_US
cg.coverage.countryZMen_US
cg.coverage.countryZWen_US
cg.coverage.admin-unitLilongween_US
cg.contactLT.Desta@CGIAR.ORGen_US
dc.identifier.statusOpen accessen_US
mel.impact-factor1.449en_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


DSpace software copyright © 2002-2016  DuraSpace
Disclaimer:
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV