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Main Title: River doctors: Learning from medicine to improve ecosystem management
Author(s): Elosegi, Arturo
Gessner, Mark O.
Young, Roger G.
Type: Article
Language Code: en
Abstract: Effective ecosystem management requires a robust methodology to analyse, remedy and avoid ecosystem damage. Here we propose that the overall conceptual framework and approaches developed over millennia in medical science and practice to diagnose, cure and prevent disease can provide an excellent template. Key principles to adopt include combining well-established assessment methods with new analytical techniques and restricting both diagnosis and treatment to qualified personnel at various levels of specialization, in addition to striving for a better mechanistic understanding of ecosystem structure and functioning, as well as identifying the proximate and ultimate causes of ecosystem impairment. In addition to applying these principles, ecosystem management would much benefit from systematically embracing how medical doctors approach and interview patients, diagnose health condition, select treatments, take follow-up measures, and prevent illness. Here we translate the overall conceptual framework from medicine into environmental terms and illustrate with examples from rivers how the systematic adoption of the individual steps proven and tested in medical practice can improve ecosystem management.
Issue Date: 2017
Date Available: 14-Nov-2019
DDC Class: 333 Boden- und Energiewirtschaft
610 Medizin und Gesundheit
Subject(s): bioassessment
differential diagnosis
ecosystem management
environmental assessment
medical methodology
methodological framework
river restoration
EC/FP7/603378/EU/Managing Aquatic ecosystems and water Resources under multiple Stress/MARS
Journal Title: Science of The Total Environment
Publisher: Elsevier
Publisher Place: Amsterdam
Volume: 595
Publisher DOI: 10.1016/j.scitotenv.2017.03.188
Page Start: 294
Page End: 302
EISSN: 1879-1026
ISSN: 0048-9697
Appears in Collections:FG Angewandte Gewässerökologie » Publications

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