An exposure-effect approach for evaluating ecosystem-wide risks from human activities. (16th February 2015)

• Record Type: Journal Article
• Authors: Knights, Antony M.; Piet, Gerjan J.; Jongbloed, Ruud H.; Tamis, Jacqueline E.; White, Lydia; Akoglu, Ekin; Boicenco, Laura; Churilova, Tanya; Kryvenko, Olga; Fleming-Lehtinen, Vivi; Leppanen, Juha-Markku; Galil, Bella S.; Goodsir, Freya; Goren, Menachem; Margonski, Piotr; Moncheva, Snejana; Oguz, Temel; Papadopoulou, K. Nadia; Setälä, Outi; Smith, Chris J.; Stefanova, Kremena; Timofte, Florin; Robinson, Leonie A.
• Is Part Of: ICES journal of marine science. Volume 72:Number 3(2015)
• Page Start: 1105
• Page End: 1115
• Publication Date: 2015-02-16
• Subjects: ecosystem-based management -- exposure-effect -- human activities -- impact -- marine -- risk framework; Ocean -- Periodicals; Fisheries -- Periodicals; Fishes -- Periodicals; Marine biology -- Bibliography -- Periodicals; 551.4605
• DOI: 10.1093/icesjms/fsu245
• Languages: English
• ISSNs: 1054-3139

Abstract

Abstract: Ecosystem-based management (EBM) is promoted as the solution for sustainable use. An ecosystem-wide assessment methodology is therefore required. In this paper, we present an approach to assess the risk to ecosystem components from human activities common to marine and coastal ecosystems. We build on: (i) a linkage framework that describes how human activities can impact the ecosystem through pressures, and (ii) a qualitative expert judgement assessment of impact chains describing the exposure and sensitivity of ecological components to those activities. Using case study examples applied at European regional sea scale, we evaluate the risk of an adverse ecological impact from current human activities to a suite of ecological components and, once impacted, the time required for recovery to pre-impact conditions should those activities subside. Grouping impact chains by sectors, pressure type, or ecological components enabled impact risks and recovery times to be identified, supporting resource managers in their efforts to prioritize threats for management, identify most at-risk components, and generate time frames for ecosystem recovery.