Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Evaluating the provision of ecosystem services to support phytoremediation measures for countering soil contamination. A case‐study of the Guadiamar Green Corridor (SW Spain)

Datos Bibliográficos

ID21648827
AutoresFrancisco J Blanco‐Velázquez (0000-0002-8031-5357, Evenor‐Tech “Technology‐Based Company with a focus on Solutions for Soil Use and Protection” Centro de Empresas Pabellón de Italia Business Center Seville Spain), Francisco José Blanco-Velázquez (autor de correspondencia), Rafael Pino‐Mejías (0000-0002-2743-877X, Department of Statistics and Operational Research University of Seville Seville Spain), María Anaya‐Romero (Evenor‐Tech “Technology‐Based Company with a focus on Solutions for Soil Use and Protection” Centro de Empresas Pabellón de Italia Business Center Seville Spain), María Anaya Romero (0000-0001-6819-0291)
Año2020
Volumen31
Número18
Páginas2914-2924
Fecha de publicación2020-12-01
Open AccessSí
TipoARTICLE
RevistaLand Degradation and Development (JOURNAL)
Identificadores de la revistaISSN: 1085-3278 • E-ISSN: 1099-145X
EditorialWiley (PUBLISHER • GB)
DOI10.1002/ldr.3608
OpenAlexW3011169738
IdiomaEN
Citas recibidas1
Referencias citadas40

Frequently, the plants used for the management of contaminated soil are those native to the area of action and provide a range of ecosystem services (ES). However, in many cases the sustainability of the afforestation planning and the provision of ES are not evaluated under scenarios of climate change (CC). In the present research work, we propose a fast‐track methodology for evaluating the potential distribution of forest species and provisioning of carbon sequestration under soil contaminated by trace elements. Furthermore, the effect of CC on the potential distribution was evaluated through the calibration of the Sierra model from MicroLEIS‐DSS. Seven tree species were selected due to their tolerance of soil contaminated by trace elements during the afforestation planning using the vegetation cover maps (1998–2013) of the Guadiamar Green Corridor. Additionally, compilation, standardization, and cluster process of soil database were applied following INSPIRE, EU‐HYDI, and JRC recommendations. Finally, the carbon sequestration rate of vegetation cover has been calculated according to IPCC methodology. The results show the loss of forest aptitude ( Eucalyptus , P . pinea , P . alba , Quercus ) under scenario of CC and decreasing of the ES provided. The proposed methodology could support the decision making to determine forest species suited for the regulation of contaminated soils and the provision of ES at spatiotemporal scales

Agroforestry · Biology · Contamination · Ecosystem · Ecosystem services · Environmental protection · Environmental resource management · Phytoremediation · Soil water · Water resource management · Environmental Science · Heavy metals in environment · Land Use and Ecosystem Services · Soil and Land Suitability Analysis · Ecology · Soil Science

  • Plant communities and potential native phytoremediator species in petroleum hydrocarbon‐polluted desert systems

    Open Access•Sarah Al‐Ateeqi, Sarah Salah Al-Ateeqi et al.•Land Degradation and Development•2022

  • Climate change 2001

    John Theodore Houghton•Climate change 2001•2001

  • A Theory for Record Linkage

    Ivan P Fellegi, Alan B Sunter•Journal of the American…•1969

  • Diverging incentives for afforestation from carbon sequestration

    Open Access•C Tassone, Justus Wesseler et al.•Forest Policy and Economics•2003

  • Soil-specific agro-ecological strategies for sustainable land use – A case study by using MicroLeis DSS in Sevilla Province (Spain)

    Open Access•Diego de la Rosa, Maria Anaya-Romero et al.•Land Use Policy•2009

  • Geostatistical Assessment of the Impact of World War I on the Spatial Occurrence of Soil Heavy Metals

    Open Access•Eef Meerschman, Liesbet Cockx et al.•AMBIO•2011

Citas por año0,25
Intervalo de citas2022 - 2022 (1)
Altamente citadoNo

Herramientas

Abrir DOISci-Hub
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae