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| Indexado |
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| DOI | 10.1016/J.ECSS.2017.02.010 | ||||
| Año | 2017 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Five catchment areas in Uruguay were selected to conduct a nutrient exportation analysis and to evaluate the effects of current land use on the eutrophication of coastal lagoons. Satellite images and national agriculture censuses were used for a quantitative analysis of land use changes from 1974 to 2005, and a nutrient export coefficient approximation was used to determine long-term changes in annual loads. Several eutrophication indicators (water, sediment and autotrophic communities) were assessed seasonally in the lagoon basins during 2005 and 2006. The areal annual load of nutrients exported to the lagoons increased over time. Population and extensive livestock ranching were the most important nutrient sources, while agriculture is increasing in importance. 'Buffer effects of riparian forests on eutrophication indicators were observed in contrast to the wetlands surrounding the lagoons, which seem to be acting as a source of nutrients. Catchment size was inversely related to most eutrophication indicators. Afforestation and agriculture were found not to directly impact eutrophication indicators, however, catchments with larger agricultural areas showed higher concentrations of suspended solids, which may indicate the export of particulate nutrients. Salinity was inversely related to most eutrophication indicators, suggesting that the manipulation of the sand bar of the lagoons is a critical management issue. Sediment-related eutrophication indicators were more sensitive to changes in land uses and covers, in contrast with the more variable water column indicators, suggesting their potential use as enduring indicators. This research provides a rapid and integral assessment for qualitatively linking catchment changes with eutrophication indicators in coastal environments, which can easily be replicated to track pollutants in locations that lack standardized monitoring programs needed for more complex catchment modeling approaches. (C) 2017 Elsevier Ltd. All rights reserved.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Rodriguez-Gallego, Lorena | Mujer |
Ctr Univ Reg Este UdelaR - Uruguay
Centro Universitario Regional del Este (UdelaR) - Uruguay Universidad La República - Uruguay Universidad de la República - Uruguay |
| 2 | Achkar, Marcel | Hombre |
Inst Ecol & Ciencias Ambient - Uruguay
Universidad La República - Uruguay Universidad de la República - Uruguay |
| 3 | Defeo, Omar | Hombre |
Fac Ciencias UdelaR - Uruguay
Facultad de Ciencias (UdelaR) - Uruguay Universidad La República - Uruguay Universidad de la República - Uruguay |
| 4 | Vidal, Leticia | Mujer |
Fac Ciencias UdelaR - Uruguay
Facultad de Ciencias (UdelaR) - Uruguay Universidad La República - Uruguay Universidad de la República - Uruguay |
| 5 | Meerhoff, Erika | Mujer |
Centro de Estudios Avanzados en Zonas Aridas - Chile
Universidad Católica del Norte - Chile |
| 6 | Conde, Daniel | Hombre |
Fac Ciencias UdelaR - Uruguay
Facultad de Ciencias (UdelaR) - Uruguay Universidad La República - Uruguay Universidad de la República - Uruguay |
| Fuente |
|---|
| Los Alamos National Laboratory |
| Laboratory Directed Research and Development |
| Ramsar Small Grants |
| CSIC from Climate Change of the Interamerican Institute for Global Change-IAI |
| PEDECIBA Doctoral Program |
| US Department of Energy-BES |
| Agradecimiento |
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| Dr. Carlos Perdomo provided nutrient export coefficients applicable to our region and land uses in the study area. The Ministry of Transport and Public Work (MTOP) and the Ministry of Livestock, Agriculture and Fishery (MGAP) provided the shapes used during the GIS overlays. MsC. Lucia Bartesaghi helped us during GIS manipulations. The National Institute of Statistics and the Directorate of Farming Statistics provided censuses microdata, and Jaqueline Gomez helped in processing the farming census data. Several fellows helped us during field surveys and the laboratory analysis: Javier Gorga, Elena Rodo and Viveka Sabaj. This study was possible due to the funds provided by CSIC C09, PDT 3609, Ramsar Small Grants, the PEDECIBA Doctoral Program, CSIC support to doctorates and Sensing the Americas' Freshwater Ecosystem Risk (SAFER) from Climate Change of the Interamerican Institute for Global Change-IAI (CRN 3038). |
| ACKNwO L EDGEM ENTS We are grateful to D. P. Pope, V. Vitek and R. Siegl at the University of Pennsylvania, and A. C. Lawson, J. M. Wills and S. P. Chen at Los Alamos National Laboratory for useful discussions and comments. This research has been supported by the Laboratory Directed Research and Development program and US Department of Energy-BES (Division of Materials Science) program at Los Alamos National Laboratory. |