Impacts of precipitation variability on the dynamics of a dry tropical montane forest

DC ElementWertSprache
dc.contributor.authorHiltner, Ulrike
dc.contributor.authorBraeuning, Achim
dc.contributor.authorGebrekirstos, Aster
dc.contributor.authorHuth, Andreas
dc.contributor.authorFischer, Rico
dc.date.accessioned2021-12-23T16:22:45Z-
dc.date.available2021-12-23T16:22:45Z-
dc.date.issued2016
dc.identifier.issn03043800
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/14295-
dc.description.abstractEcosystem structures of tropical mountain forests are under threat due to changes in climate and land-use. The dry tropical montane forest of Munessa-Shashemene in south-east Ethiopia is a prominent example of degradation and deforestation in the sub-humid tropics. In recent years an increasing number of precipitation events has been observed, mainly during the short rainy season. Moreover, the recent IPCC Report envisages an increase in total annual precipitation, accompanied by more frequent extreme weather events (drought, torrential rains) for the Horn of Africa until the end of the 21st century. To evaluate possible consequences for local forest ecosystems, we applied the process-based, individual-oriented forest simulation model Formix3 to identify the influence of precipitation variability on the forest growth dynamics. We parameterised the model using field observation data including, for the first time, a tree-ring chronology of Croton macrostachyus. By using different levels of annual precipitation and intra-annual precipitation patterns, we analysed explicit simulation scenarios focussing on both overall and species-specific aboveground biomass dynamics and tree species composition. We found that the model reproduces aboveground biomass productivity precisely under current precipitation conditions. Variations in precipitation cause ecological shifts in the conditions for tree growth. Biomass and species richness both increase with mean annual precipitation, with the effects stabilising overtime. Our results emphasise the impact of the duration and frequency of periods of water limitation on forest structure and growth. Our model has a variety of potential applications including investigation of the impacts of precipitation variability on forest structure and tree species diversity. It is thus a useful tool for extrapolating local growth measurements and succession, and analysing the impact of different management strategies on dry tropical montane forests. (C) 2015 Elsevier B.V. All rights reserved.
dc.description.sponsorshipGerman Research FoundationGerman Research Foundation (DFG) [BR-1895/15]; German Academic Exchange ServiceDeutscher Akademischer Austausch Dienst (DAAD); We gratefully acknowledge the German Research Foundation for funding the project ``Climate response of tree growth in Ethiopia along an altitudinal transect, and implications on local climate and regional atmospheric circulation dynamics'' (BR-1895/15). We thank Dr. Julia Krepkowski for her valuable comments and support, as well as the German Academic Exchange Service for funding Ulrike Hiltner's field trip.
dc.language.isoen
dc.publisherELSEVIER
dc.relation.ispartofECOLOGICAL MODELLING
dc.subjectClimate change simulation
dc.subjectCLIMATE-CHANGE
dc.subjectDIVERSITY
dc.subjectDry tropical montane forest
dc.subjectEcology
dc.subjectENVIRONMENT
dc.subjectEnvironmental Sciences & Ecology
dc.subjectEthiopia
dc.subjectForest growth model
dc.subjectFormix3
dc.subjectGROWTH
dc.subjectMODEL
dc.subjectRAIN-FOREST
dc.subjectRICHNESS
dc.subjectTree-ring measurement
dc.subjectTREES
dc.titleImpacts of precipitation variability on the dynamics of a dry tropical montane forest
dc.typejournal article
dc.identifier.doi10.1016/j.ecolmodel.2015.09.021
dc.identifier.isiISI:000368313300009
dc.description.volume320
dc.description.startpage92
dc.description.endpage101
dc.contributor.orcid0000-0002-0482-0095
dc.contributor.orcid0000-0001-5663-7068
dc.contributor.researcheridAAI-4543-2021
dc.identifier.eissn18727026
dc.publisher.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
dcterms.isPartOf.abbreviationEcol. Model.
crisitem.author.deptInstitut für Umweltsystemforschung-
crisitem.author.deptidresearchcenter5-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidHuAn907-
Zur Kurzanzeige

Seitenaufrufe

2
Letzte Woche
0
Letzter Monat
0
geprüft am 02.06.2024

Google ScholarTM

Prüfen

Altmetric