From Metaphors to Formalism: A Heuristic Approach to Holistic Assessments of Ecosystem Health
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Mendeley | Further Information

{"title"=>"From metaphors to formalism: A heuristic approach to holistic assessments of ecosystem health", "type"=>"journal", "authors"=>[{"first_name"=>"Heino O.", "last_name"=>"Fock", "scopus_author_id"=>"7003300364"}, {"first_name"=>"Gerd", "last_name"=>"Kraus", "scopus_author_id"=>"57190839391"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84983434894", "doi"=>"10.1371/journal.pone.0159481", "sgr"=>"84983434894", "pmid"=>"27509185", "issn"=>"19326203", "pui"=>"611775395"}, "id"=>"283bc1bb-82ff-3da2-863b-2dad8b1f88da", "abstract"=>"Environmental policies employ metaphoric objectives such as ecosystem\\nhealth, resilience and sustainable provision of ecosystem services,\\nwhich influence corresponding sustainability assessments by means of\\nnormative settings such as assumptions on system description, indicator\\nselection, aggregation of information and target setting. A heuristic\\napproach is developed for sustainability assessments to avoid ambiguity\\nand applications to the EU Marine Strategy Framework Directive (MSFD)\\nand OSPAR assessments are presented. For MSFD, nineteen different\\nassessment procedures have been proposed, but at present no agreed\\nassessment procedure is available. The heuristic assessment framework is\\na functional-holistic approach comprising an ex-ante/ex-post assessment\\nframework with specifically defined normative and systemic dimensions\\n(EAEPNS). The outer normative dimension defines the ex-ante/ex-post\\nframework, of which the latter branch delivers one measure of ecosystem\\nhealth based on indicators and the former allows to account for the\\nmulti-dimensional nature of sustainability (social, economic,\\necological) in terms of modeling approaches. For MSFD, the\\nex-ante/ex-post framework replaces the current distinction between\\nassessments based on pressure and state descriptors. The exante and the\\nex-post branch each comprise an inner normative and a systemic\\ndimension. The inner normative dimension in the ex-post branch considers\\nadditive utility models and likelihood functions to standardize\\nvariables normalized with Bayesian modeling. Likelihood functions allow\\nprecautionary target setting. The ex-post systemic dimension considers a\\nposteriori indicator selection by means of analysis of indicator space\\nto avoid redundant indicator information as opposed to a priori\\nindicator selection in deconstructive-structural approaches. Indicator\\ninformation is expressed in terms of ecosystem variability by means of\\nmultivariate analysis procedures. The application to the OSPAR\\nassessment for the southern North Sea showed, that with the selected 36\\nindicators 48% of ecosystem variability could be explained. Tools for\\nthe ex-ante branch are risk and ecosystem models with the capability to\\nanalyze trade-offs, generating model output for each of the pressure\\nchains to allow for a phasing-out of human pressures. The Bayesian\\nmeasure of ecosystem health is sensitive to trends in environmental\\nfeatures, but robust to ecosystem variability in line with state space\\nmodels. The combination of the ex-ante and ex-post branch is essential\\nto evaluate ecosystem resilience and to adopt adaptive management. Based\\non requirements of the heuristic approach, three possible developments\\nof this concept can be envisioned, i.e. a governance driven approach\\nbuilt upon participatory processes, a science driven functional-holistic\\napproach requiring extensive monitoring to analyze complete ecosystem\\nvariability, and an approach with emphasis on ex-ante modeling and\\nex-post assessment of well-studied subsystems.", "link"=>"http://www.mendeley.com/research/metaphors-formalism-heuristic-approach-holistic-assessments-ecosystem-health", "reader_count"=>27, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>9, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Master"=>2, "Other"=>3, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>9, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Master"=>2, "Other"=>3, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Engineering"=>3, "Environmental Science"=>7, "Agricultural and Biological Sciences"=>7, "Arts and Humanities"=>1, "Social Sciences"=>2, "Computer Science"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Social Sciences"=>{"Social Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>7}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "group_count"=>1}

Scopus | Further Information

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