English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/22195
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Citado 25 veces en Web of Knowledge®  |  Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Título

Phosphorus export from catchments: a global view

AutorÁlvarez Cobelas, Miguel ; Sánchez Carrillo, Salvador ; Angeler, D. G.; Sánchez Andrés, Raquel
Palabras claveEnvironmental factors
Regional approaches
In.stream processes
Modelling
Fecha de publicación25-ago-2009
EditorNorth American Benthological Society
CitaciónJournal North American Benthological Society
ResumenWe reviewed global P export and its controlling factors from 685 world rivers. We used available continuous (runoff, rainfall, catchment area, % land use, and population density) and discrete (runoff type, soil type, biome, dominant land use, dominant type of forest, occurrence of stagnant water bodies in catchment, and Gross Product per Capita [GPC]) variables to predict export of P fractions. P export (kg P km22 y21) spanned 6 orders of magnitude worldwide. The distribution of all fractions of P export (total P [TP], soluble reactive P [SRP], and nonSRP [dissolved organic and particle-bound P]) was right skewed. Export of nonSRP had the highest coefficient of variability, and nonSRP was the dominant part of export. The available environmental variables predicted global P export fairly well (R2 = 0.73) if total N export was included in calculations. The unexplained variance in P export might be attributed to noise in the data set, inaccuracy of measurements of environmental variables at fine scales, lack of quantitative data on anthropogenic P sources, insufficient knowledge of P behavior in catchment soils, and nonlinearity of controlling processes. P exports were highly variable among catchment types, and runoff and population density were the predictors shared by most models. P export appeared to be controlled by different sets of environmental variables in different types of catchments. Quasi-empirical, mechanistic models of P export performed better than did empirical models. Our mechanistic understanding of P export could be improved by refining current analytical methods to obtain fast and reliable values of all P fractions in aquatic ecosystems and by incorporating better and more detailed data on catchment features, anthropogenic sources of P, and instream variables in a mechanistic modelling framework.
Descripción16 pages, figures, and tables statistics.
Versión del editorhttp://dx.doi.org/10.1899/09-073.1
URIhttp://hdl.handle.net/10261/22195
DOI10.1899/09-073.1
Aparece en las colecciones: (IRN) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
JNABS 2009.pdf656,9 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 



NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.