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Modeling the distribution of riverine vegetation in regulated rivers - from dynamic to static equilibrium

dc.contributor.advisorEgger, Gregory
dc.contributor.advisorFerreira, Maria Teresa
dc.contributor.authorOchs, Konstantin
dc.date.accessioned2022-01-04T10:36:14Z
dc.date.available2022-01-04T10:36:14Z
dc.date.issued2021
dc.descriptionDoutoramento FLUVIO - River Restoration and Management / Instituto Superior de Agronomia / Faculdade de Arquitetura / Instituto Superior Técnico. Universidade de Lisboapt_PT
dc.description.abstractWhile methodological advances in ecosystem modeling reflect the growing recognition in the importance of accounting for dynamic change in river ecosystems, it is also recognized that various forms of regulation measures have completely disrupted its natural dynamics. In this context the underlying research question of this PhD is how river regulation affects the spatial distribution of riverine vegetation (aquatic and riparian) and whether rather simple static models that assume equilibrium between vegetation and environmental factors are adequate tools for its prediction. In a first step, we presented a systematic, quantitative literature review on models to predict the distribution of riverine vegetation on reach scale and identified research gaps to guide the further development of the thesis. Then, we developed and tested a habitat suitability model for aquatic vegetation based on hydrological variables. We concluded that during artificially stabilized (static) low flows the vegetation is in equilibrium with the physical instream condition and showed how the model can be used to define a flow threshold that reduces the risk of species invasion and proliferation. Further, we reconstructed the historic succession dynamics of a large river floodplain using a dynamic vegetation model and showed that typical regulation measures led to a steady progression of the vegetation communities toward mature phases without regression to younger stages. Finally, we applied different static and dynamic modeling approaches for the distribution of floodplain vegetation to the same study area and concluded from the comparison of their results that due to regulation measures the relevance of succession dynamics and disturbance stochasticity for the prediction of vegetation patterns is much reduced. Consequently, from a river manager ́s perspective, static models seem to be an adequate option for the modeling of the distribution of riverine vegetation in artificially stabilized environments since they show high accuracy, need relatively few resources (data, time, expert knowledge) when compared to dynamic models and are reproduciblept_PT
dc.description.versionN/Apt_PT
dc.identifier.citationOchs, K. - Modeling the distribution of riverine vegetation in regulated rivers - from dynamic to static equilibrium. Lisboa: ISA, 2021, 213 p.pt_PT
dc.identifier.tid101645252
dc.identifier.urihttp://hdl.handle.net/10400.5/22870
dc.language.isoengpt_PT
dc.publisherISA/ULpt_PT
dc.relationModeling the interactions of riparian vegetation and fluvial processes.
dc.subjectriparian vegetationpt_PT
dc.subjectaquatic vegetationpt_PT
dc.subjectmodelingpt_PT
dc.subjectspatial distributionpt_PT
dc.subjectriver restorationpt_PT
dc.titleModeling the distribution of riverine vegetation in regulated rivers - from dynamic to static equilibriumpt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
oaire.awardNumberPD/BD/114354/2016
oaire.awardTitleModeling the interactions of riparian vegetation and fluvial processes.
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F114354%2F2016/PT
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
relation.isProjectOfPublicationacfc282d-b4fd-4a22-a96a-428afbfe8099
relation.isProjectOfPublication.latestForDiscoveryacfc282d-b4fd-4a22-a96a-428afbfe8099

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