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Freshwater ecosystem services in mining regions: Modelling options for policy development support

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dc.contributor.author Mercado-Garcia D. es_PE
dc.contributor.author Wyseure G. es_PE
dc.contributor.author Goethals P. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2018
dc.description This research was funded by Cienciactiva, an initiative of CONCYTEC (grant contract No. 002-2016-FONDECYT, and by a VLIR-TEAM programme ZEIN2013PR395: ‘Impact on surface water resources and aquatic biodiversity by opencast mining activities in Cajamarca, Peru’.
dc.description.abstract The ecosystem services (ES) approach offers an integrated perspective of social-ecological systems, suitable for holistic assessments of mining impacts. Yet for ES models to be policy-relevant, methodological consensus in mining contexts is needed. We review articles assessing ES in mining areas focusing on freshwater components and policy support potential. Twenty-six articles were analysed concerning (i) methodological complexity (data types, number of parameters, processes and ecosystem–human integration level) and (ii) potential applicability for policy development (communication of uncertainties, scenario simulation, stakeholder participation and management recommendations). Articles illustrate mining impacts on ES through valuation exercises mostly. However, the lack of ground- and surface-water measurements, as well as insufficient representation of the connectivity among soil, water and humans, leave room for improvements. Inclusion of mining-specific environmental stressors models, increasing resolution of topographies, determination of baseline ES patterns and inclusion of multi-stakeholder perspectives are advantageous for policy support. We argue that achieving more holistic assessments exhorts practitioners to aim for high social-ecological connectivity using mechanistic models where possible and using inductive methods only where necessary. Due to data constraints, cause–effect networks might be the most feasible and best solution. Thus, a policy-oriented framework is proposed, in which data science is directed to environmental modelling for analysis of mining impacts on water ES.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.3390/w10040531
dc.identifier.scopus 2-s2.0-85046089021
dc.identifier.uri https://hdl.handle.net/20.500.12390/621
dc.language.iso eng
dc.publisher MDPI AG
dc.relation.ispartof Water (Switzerland)
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Water resources
dc.subject Information management es_PE
dc.subject Mining es_PE
dc.subject Surface waters es_PE
dc.subject Uncertainty analysis es_PE
dc.subject Water es_PE
dc.subject Ecosystem services es_PE
dc.subject Environmental modelling es_PE
dc.subject Environmental stressors es_PE
dc.subject Multi-stakeholder perspectives es_PE
dc.subject Policy support es_PE
dc.subject Social-ecological systems es_PE
dc.subject Stakeholder participation es_PE
dc.subject Ecosystems es_PE
dc.subject complexity es_PE
dc.subject contingent valuation es_PE
dc.subject ecosystem service es_PE
dc.subject environmental modeling es_PE
dc.subject environmental stress es_PE
dc.subject holistic approach es_PE
dc.subject integrated approach es_PE
dc.subject mining es_PE
dc.subject policy development es_PE
dc.subject water resource es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.07.00
dc.title Freshwater ecosystem services in mining regions: Modelling options for policy development support
dc.type info:eu-repo/semantics/review
dspace.entity.type Publication
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oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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