DC FieldValueLanguage
dc.contributor.authorLenfers, Ulfia A.-
dc.contributor.authorBrüggemann, Rainer-
dc.contributor.authorClemen, Thomas-
dc.date.accessioned2020-08-26T09:18:19Z-
dc.date.available2020-08-26T09:18:19Z-
dc.date.issued2017-09-12-
dc.identifier.issn1574-9541en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/1566-
dc.description.abstractThe resilience of savanna ecosystems to climate and land-use changes is an important ecological and management question. The term ‘resilience' is used to refer to the ability of a tree species to survive in a specific location, even under changing environmental conditions. In this study, vectors of functional traits of selected savanna tree species are studied by applying partial order algorithms to them. Some ecological interpretations are obtained and are compared to published research. One finding is the high rates of nitrogen fixation for the leaves of Acacia nigrescens. In opposition to this well-known fact, we discovered that Sclerocarya birrea has a bigger average leaf area than the other four tree species. Additionally, we found high carbonate values within the leaf from Colophospermum mopane, Combretum apiculatum, and Terminalis sericea. These results correspond to different ecological strategies for the tree species in question. It became obvious that geometric structures gained from partial ordering show a very good correspondence to ecological strategies of these tree species. Concepts of partial order theory may therefore be helpful in ecosystem research.en
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEcological informatics : an international journal on ecoinformatics and computational ecologyen_US
dc.subjectSclerocarya birreaen_US
dc.subjectSavanna treesen_US
dc.subjectResilienceen_US
dc.subjectFunctional traitsen_US
dc.subjectPartial ordersen_US
dc.subject.ddc004: Informatiken_US
dc.titleExploring survival strategies of African Savanna trees by partial ordering techniquesen
dc.typeArticleen_US
dc.description.versionPeerRevieweden_US
tuhh.container.endpage23en_US
tuhh.container.startpage14en_US
tuhh.container.volume42en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Informatiken_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publisher.doi10.1016/j.ecoinf.2017.08.008-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.casraiJournal Article-
dc.type.diniarticle-
dc.type.driverarticle-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.creatorGNDLenfers, Ulfia A.-
item.creatorGNDBrüggemann, Rainer-
item.creatorGNDClemen, Thomas-
item.fulltextNo Fulltext-
item.creatorOrcidLenfers, Ulfia A.-
item.creatorOrcidBrüggemann, Rainer-
item.creatorOrcidClemen, Thomas-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypeArticle-
crisitem.author.deptDepartment Informatik-
crisitem.author.orcid0000-0002-4425-7241-
crisitem.author.orcid0000-0002-8200-5141-
crisitem.author.parentorgFakultät Technik und Informatik-
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