Assessing the effectiveness of potential best management practices for science-informed decision support at the watershed scale: The case of the Mar Menor coastal lagoon, Spain

Coastal lagoons are ecosystems of high environmental importance but are quite vulnerable to human activities. The continuous inflow of pollutant loads can trigger negative impacts on the ecological status of these water bodies, which is contrary to the European Green Deal. One example is the Mar Menor coastal lagoon in Spain, which has experienced significant environmental degradation in recent years due to excessive external nutrient input, especially from non-point source (NPS) pollution. Mar Menor is one of the largest coastal lagoons of the Mediterranean region and a site of great ecological and socio-economic value. In this study, the highly anthropogenic and complex watershed of Mar Menor, known as Campo de Cartagena (1244 km2), was modelled with the Soil and Water Assessment Tool (SWAT) to analyse potential options for recovery of this unique system. The model was used to simulate several best management practices (BMP) proposed by recent MarMenor regulations, such as vegetative filter strips, shoreline buffers, contour farming, removal of illegal agriculture, crop rotation management, waterway vegetation restoration, fertiliser management and greenhouse rainwater harvesting. Sixteen scenarios of individual and combined BMPs were analysed in this study. We found that, as individual measures, vegetative filter strips and contour farming were most effective in nutrient reduction: approximately 30% for total nitrogen (TN) and 40 % for total phosphorus (TP). Moreover, waterway vegetation restoration showed the highest sediment (S) reduction at approximately 20 %. However, the combination of BMPs demonstrated clear synergistic effects, reducing S export by 38 %, TN by 67 %, and TP by 75 %. Selecting the most appropriate BMPs to be implemented at a watershed scale requires a holistic approach considering effectiveness in reducing NPS pollution loads andBMP implementation costs. Thus, we have demonstrated a way forward for enabling science-informed decision-makingwhen choosing strategies to control NPS contamination at the watershed scale.

Datos y Recursos

Este conjunto de datos no tiene datos

Metadatos

Información básica
Tipo de recurso Texto
Fecha de creación 17-09-2024
Fecha de última modificación 17-09-2024
Mostrar histórico de cambios
Identificador de los metadatos 7d3e7946-e95e-5f12-8a0b-7e19fff02aee
Idioma de los metadatos Español
Temáticas (NTI-RISP)
Categoría del conjunto de alto valor (HVD)
Categoría temática ISO 19115
Identificador alternativo DOI 10.1016/j.scitotenv.2022.160144
URI de palabras clave
Codificación UTF-8
Información espacial
Identificador INSPIRE ESPMITECOIEPNBMMENOR850
Temas INSPIRE
Identificador geográfico Murcia
Sistema de Referencia de Coordenadas
Tipo de representación espacial
Extensión espacial
"{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, 37.38]]]}"
Resolución espacial del dataset (m)
Procedencia
Declaración de linaje
Perfil de Metadatos
Conformidad
Conjunto de datos de origen
Frecuencia de actualización
Fuentes
  1. Science of The Total Environment
  2. Vol 859
Propósito
Pasos del proceso
Cobertura temporal (Inicio)
Cobertura temporal (Fin)
Notas sobre la versión
Versión
Vigencia del conjunto de datos
Parte responsable
Nombre del autor Lopez-Ballesteros, A., Trolle, D., Srinivasan, R. y Senent-Aparicio, J.
Nombre del mantenedor
Identificador del autor
Email del autor alopez6@ucam.edu
Web del autor
Identificador del mantenedor
Email del mantenedor
Web del mantenedor