Autor según el artículo: Boithias, Laurie; Terrado, Marta; Corominas, Lluis; Ziv, Guy; Kumar, Vikas; Marques, Montse; Schuhmacher, Marta; Acuna, Vicenc;
Departamento: Enginyeria Química
Autor/es de la URV: Kumar, Vikas / Marquès Bueno, Montserrat / Schuhmacher Ansuategui, Marta
Palabras clave: Sensitivity-analysis Sensitivity analysis Quality Monetary values Management Impact Human well-being Freshwater ecosystems Ecosystem services Ecosystem management Costs Conservation Classification monetary values human well-being freshwater ecosystems ecosystem services ecosystem management
Resumen: Ecosystem services provide multiple benefits to human wellbeing and are increasingly considered by policy-makers in environmental management. However, the uncertainty related with the monetary valuation of these benefits is not yet adequately defined or integrated by policy-makers. Given this background, our aim was to quantify different sources of uncertainty when performing monetary valuation of ecosystem services, in order to provide a series of guidelines to reduce them. With an example of 4 ecosystem services (i.e., water provisioning, waste treatment, erosion protection, and habitat for species) provided at the river basin scale, we quantified the uncertainty associated with the following sources: (1) the number of services considered, (2) the number of benefits considered for each service, (3) the valuation metrics (i.e. valuation methods) used to value benefits, and (4) the uncertainty of the parameters included in the valuation metrics. Results indicate that the highest uncertainty was caused by the number of services considered, as well as by the number of benefits considered for each service, whereas the parametric uncertainty was similar to the one related to the selection of valuation metric, thus suggesting that the parametric uncertainty, which is the only uncertainty type commonly considered, was less critical than the structural uncertainty, which is in turn mainly dependent on the decision-making context. Given the uncertainty associated to the valuation structure, special attention should be given to the selection of services, benefits and metrics according to a given context. (C) 2015 Elsevier B.V. All rights reserved.
Áreas temáticas: Zootecnia / recursos pesqueiros Waste management and disposal Saúde coletiva Química Pollution Odontología Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Historia Geografía Geociências Farmacia Environmental sciences Environmental engineering Environmental chemistry Ensino Engenharias iii Engenharias ii Engenharias i Enfermagem Direito Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: vikas.kumar@urv.cat montserrat.marques@urv.cat marta.schuhmacher@urv.cat
Identificador del autor: 0000-0002-9795-5967 0000-0001-6302-8578 0000-0003-4381-2490
Fecha de alta del registro: 2024-07-20
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0048969715310470
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Science Of The Total Environment. 543 683-690
Referencia de l'ítem segons les normes APA: Boithias, Laurie; Terrado, Marta; Corominas, Lluis; Ziv, Guy; Kumar, Vikas; Marques, Montse; Schuhmacher, Marta; Acuna, Vicenc; (2016). Analysis of the uncertainty in the monetary valuation of ecosystem services - A case study at the river basin scale. Science Of The Total Environment, 543(), 683-690. DOI: 10.1016/j.scitotenv.2015.11.066
DOI del artículo: 10.1016/j.scitotenv.2015.11.066
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Tipo de publicación: Journal Publications
Repositori URV