Saborowski, Joachim

[["dc.bibliographiccitation.firstpage","446"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Forestry An International Journal of Forest Research"],["dc.bibliographiccitation.lastpage","455"],["dc.bibliographiccitation.volume","89"],["dc.contributor.author","Djomo, Adrien N."],["dc.contributor.author","Picard, N."],["dc.contributor.author","Fayolle, Adeline"],["dc.contributor.author","Henry, Matieu"],["dc.contributor.author","Ngomanda, Alfred"],["dc.contributor.author","Ploton, Pierre"],["dc.contributor.author","McLellan, James"],["dc.contributor.author","Saborowski, Joachim"],["dc.contributor.author","Adamou, Ibrahima"],["dc.contributor.author","Lejeune, Philippe"],["dc.date.accessioned","2018-11-07T10:10:44Z"],["dc.date.available","2018-11-07T10:10:44Z"],["dc.date.issued","2016"],["dc.description.abstract","Tropical forests in Africa store large amounts of carbon and there is an urgent need for accurate methods to estimate this important carbon stock. One method to achieve this is by allometric equations but in many forest ecosystems in Africa these have not been developed. This study combined biomass data of 896 trees from five tropical countries in Africa and eight different sources to develop mixed-species regression equations for estimation of total biomass and height in Dry, Moist and Wet forest types. For estimation of total biomass, allometric equations combining diameter, height and wood density provided the best estimators in the three forest types. Because adding wood density to diameter improved height estimation, we recommend using allometric equations that combine diameter and wood density for height estimations in mixed and diverse tropical forests. Comparing ecosystem-specific (Dry, Moist and Wet) allometric equations to general allometric equations developed with combined data, and also to pan-tropical equations, showed that ecosystem-specific equations provided better estimators. The results highlight the importance of considering wood density in tree allometry for biomass as well as for tree height estimations. Although general allometric equations can be useful, this study recommends when they are available, the use of existing site-specific or ecosystem-specific allometric equations which provide better estimates."],["dc.identifier.doi","10.1093/forestry/cpw025"],["dc.identifier.isi","000383899000012"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39916"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1464-3626"],["dc.relation.issn","0015-752X"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.title","Tree allometry for estimation of carbon stocks in African tropical forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1873"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","1885"],["dc.bibliographiccitation.volume","260"],["dc.contributor.author","Djomo, Adrien N."],["dc.contributor.author","Ibrahima, Adamou"],["dc.contributor.author","Saborowski, Joachim"],["dc.contributor.author","Gravenhorst, Gode"],["dc.date.accessioned","2018-11-07T08:37:59Z"],["dc.date.available","2018-11-07T08:37:59Z"],["dc.date.issued","2010"],["dc.description.abstract","Moist tropical forests in Africa and elsewhere store large amounts of carbon and need accurate allometric regressions for their estimation. In Africa the absence of species-specific or mixed-species allometric equations has lead to broad use of pan moist tropical equations to estimate tree biomass. This lack of information has raised many discussions on the accuracy of these data, since equations were derived from biomass collected outside Africa. Mixed-species regression equations with 71 sample trees using different input variables such as diameter, diameter and height, product of diameter and height, and wood density were developed to estimate total aboveground biomass and biomass of leaves and branches for a Cameroon forest. Our biomass data was added to 372 biomass data collected across different moist tropical forests in Asia and South America to develop new pan moist tropical allometric regressions. Species-specific and mixed-species height diameter regression models were also developed to estimate heights using 3833 trees. Using only diameter as input variable, the mixed-species regression model estimates the aboveground biomass of the study site with an average error of 7.4%. Adding height or wood density did not improve significantly the estimations. Using the three variables together improved the precision with an average error of 3.4%. For general allometric equations tree height was a good predictor variable. The best pan moist tropical equation was obtained when the three variables were added together followed by the one which includes diameter and height. This study provides height diameter relationships and wood density of 31 species. The pan moist tropical equation developed by Chave et al. (2005), estimates total aboveground biomass across different sites with an average error of 20.3% followed by equations developed in the present study with an average error of 29.5%. (C) 2010 Published by Elsevier B.V."],["dc.identifier.doi","10.1016/j.foreco.2010.08.034"],["dc.identifier.isi","000283689500026"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/18670"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","0378-1127"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.relation.orgunit","Abteilung Bioklimatologie"],["dc.subject.gro","Biomass"],["dc.subject.gro","Cameroon"],["dc.subject.gro","Moist tropical forests"],["dc.subject.gro","Tree allometry"],["dc.title","Allometric equations for biomass estimations in Cameroon and pan moist tropical equations including biomass data from Africa"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]