Controls on the dynamics of riverine dissolved organic matter: insights from a Mediterranean river network

In river networks, dissolved organic matter (DOM) constitutes the major pool of organic carbon, and plays a key role as energy source and modulator of toxic substances availability. In this thesis, Joan P. Casas-Ruiz and collaborators provide new insights into the controls on DOM processing, and int...

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Detalles Bibliográficos
Autor: Casas Ruiz, Joan Pere
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/404280
Acceso en línea:http://hdl.handle.net/10803/404280
http://mediaserver.csuc.cat/tdx/documents/16/26/45/162645259096542734947806447748254412163/
Access Level:acceso abierto
Palabra clave:Dissolved organic matter
Matèria orgànica dissolta
Materia orgánica disuelta
Carbon cycle
Cicle del carboni
Ciclo del carbono
Dissolved organic carbon
Carboni orgànic dissolt
Carbono orgánico disuelto
Stream
Corrent
Corriente
Drainage network
Xarxa de drenatge
Red de drenaje
Biogeochemistry
Biogeoquímica
504
577
Descripción
Sumario:In river networks, dissolved organic matter (DOM) constitutes the major pool of organic carbon, and plays a key role as energy source and modulator of toxic substances availability. In this thesis, Joan P. Casas-Ruiz and collaborators provide new insights into the controls on DOM processing, and into how in-stream reactions and changing DOM sources modulate DOM dynamics in river networks. To attain this, the quantity and composition of DOM were evaluated across a river network throughout a full hydrological year. The results compiled in this thesis pose water residence time as the main regulator of DOM processing, while DOM properties as well as nutrient availability determine the net balance of in-stream degradation and production of DOM. A network-scale analysis identifies a pattern of DOM concentration and chemical diversity with maxima in medium-sized rivers, and the same pattern emerges upon analysis of a global data set. On the basis of these results, this thesis proposes a conceptual framework to comprehend and predict the spatiotemporal dynamics of riverine DOM