Area requirements and pelagic protected areas: is size an impediment to implementation?
J. E. Alpine A B C and A. J. Hobday A BA School of Zoology, University of Tasmania, Hobart, Tas. 7001, Australia.
B CSIRO Marine and Atmospheric Research, Hobart, Tas. 7001, Australia.
C Corresponding author. Email: Jane.Alpine@csiro.au
Marine and Freshwater Research 58(6) 558-569 https://doi.org/10.1071/MF06214
Submitted: 8 November 2006 Accepted: 4 May 2007 Published: 29 June 2007
Abstract
Global oceans are experiencing not only increased levels of human exploitation, but also major changes to their physics, chemistry and biology. These alarming changes have prompted calls for new and improved conservation and management tools if the future sustainability of oceanic ecosystems is to be assured. Spatial management, although widely used in coastal and nearshore environments, is one strategy yet to be adequately considered for open ocean systems. Resistance to both investigation and implementation of this management approach stems predominantly from the perception that given the highly dynamic nature of the ocean, adequate protection of both its biological and physical components would require regulation of vast regions. To examine this assertion, a series of reserve networks were modelled using the reserve design tool Marxan for an oceanic region off eastern Australia. Consideration was given to a set of biological, physical and social features. Three distinct management approaches were evaluated; fisheries priority, conservation priority, and equal fisheries-conservation priority. Reserve solution area requirements ranged from 7% to 26% of the focus area, falling within the lower end of the range of areas suggested in the published reports. This analysis suggests that percentage area requirements for oceanic protected areas should not be an impediment to further consideration.
Additional keywords: Marxan, pelagic ecosystems, reserve design, spatial management.
Acknowledgements
Technical assistance and support for this project was provided by Rob Campbell, Klaas Hartmann, Karl Bossard, and Ian Ball. Additional financial support for JA was provided by Sinclair Knight Merz through a University of Tasmania Honours Scholarship. Fisheries data were accessed from a research version of the AFMA database held at CSIRO Marine and Atmospheric Research. Marxan was used with permission of Hugh Possingham and Ian Ball. The altimeter products were produced by Ssalto/Duacs and distributed by Aviso, with support from CNES.
Agardy, T. (2000). Information needs for marine protected areas: scientific and societal. Bulletin of Marine Science 66, 875–888.
Baum, J. K. , and Myers, R. A. (2004). Shifting baselines and the decline of pelagic sharks in the Gulf of Mexico. Ecology Letters 7, 135–145.
| Crossref | GoogleScholarGoogle Scholar |
Carr, M. H. , Neigel, J. E. , Estes, J. A. , Andelman, S. , Warner, R. R. , and Largier, J. L. (2003). Comparing Marine and Terrestrial Ecosystems: Implications for the Design of Coastal Marine Reserves. Ecological Applications 13, S90–S107.
| Crossref | GoogleScholarGoogle Scholar |
Gilman, E. , Brothers, N. , and Kobayashi, D. R. (2005). Principles and approaches to abate seabird by-catch in longline fisheries. Fish and Fisheries 6, 35–49.
| Crossref | GoogleScholarGoogle Scholar |
Lewison, R. L. , and Crowder, L. B. (2003). Estimating fishery bycatch and effects on a vulnerable seabird population. Ecological Applications 13, 743–753.
| Crossref | GoogleScholarGoogle Scholar |
Polacheck, T. (2006). Tuna longline catch rates in the Indian Ocean: Did Industrial fishing result in a 90% rapid decline in the abundance of large predatory species? Marine Policy 30, 470–482.
| Crossref | GoogleScholarGoogle Scholar |
Pressey, R. L. , Possingham, H. P. , and Day, J. R. (1997). Effectiveness of alternating heuristic algorithms for identifying indicative minimum requirements for conservation reserves. Biological Conservation 80, 207–219.
| Crossref | GoogleScholarGoogle Scholar |
Roman, J. , and Palumbi, S. R. (2003). Whales before whaling in the North Atlantic. Science 301, 508–510.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Worm, B. , Lotze, H. K. , and Myers, R. A. (2003). Predator diversity hotspots in the blue ocean. Proceedings of the National Academy of Sciences of the United States of America 100, 9884–9888.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Young, J. W. , Bradford, R. , Lamb, T. D. , Clementson, L. A. , Kloser, R. , and Galea, H. (2001). Yellowfin tuna (Thunnus albacares) aggregations along the shelf break off south-eastern Australia: links between inshore and offshore processes. Marine and Freshwater Research 52, 463–474.
| Crossref | GoogleScholarGoogle Scholar |
Zainuddin, M. , Kiyofuji, H. , Saitoh, K. , and Saitoh, S. I. (2006). Using multi-sensor satellite remote sensing and catch data to detect ocean hot spots for albacore (Thunnus alalunga) in the northwestern North Pacific. Deep Sea Research Part II 53, 419–431.
| Crossref | GoogleScholarGoogle Scholar |