Modelling marine protected areas: insights and hurdles

被引:75
作者
Fulton, Elizabeth A. [1 ,3 ]
Bax, Nicholas J. [1 ,4 ]
Bustamante, Rodrigo H. [5 ]
Dambacher, Jeffrey M. [2 ,3 ]
Dichmont, Catherine [5 ]
Dunstan, Piers K. [1 ]
Hayes, Keith R. [2 ]
Hobday, Alistair J. [1 ,3 ]
Pitcher, Roland [5 ]
Plaganyi, Eva E. [5 ]
Punt, Andre E. [1 ,6 ]
Savina-Rolland, Marie [7 ]
Smith, Anthony D. M. [1 ,3 ]
Smith, David C. [1 ,3 ]
机构
[1] CSIRO Oceans & Atmosphere, Hobart, Tas 7001, Australia
[2] CSIRO Digital Prod, Hobart, Tas 7001, Australia
[3] Univ Tasmania, Ctr Marine Socioecol, Battery Point, Tas 7004, Australia
[4] Univ Tasmania, Inst Marine & Antarctic Studies, Battery Point, Tas 7004, Australia
[5] CSIRO Oceans & Atmosphere, Brisbane, Qld 4001, Australia
[6] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA
[7] Ctr Manche Mer Nord, Lab Ressources Halieut, F-62321 Boulogne Sur Mer, France
关键词
spatial management; modelling; MPA; counterfactual; MANAGEMENT STRATEGY EVALUATION; SPATIAL MANAGEMENT; BASE-LINES; CONSERVATION; FISHERIES; RESERVES; BIODIVERSITY; INDICATORS; DISPERSAL; BENEFITS;
D O I
10.1098/rstb.2014.0278
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Models provide useful insights into conservation and resource management issues and solutions. Their use to date has highlighted conditions under which no-take marine protected areas (MPAs) may help us to achieve the goals of ecosystem-based management by reducing pressures, and where they might fail to achieve desired goals. For example, static reserve designs are unlikely to achieve desired objectives when applied to mobile species or when compromised by climate-related ecosystem restructuring and range shifts. Modelling tools allow planners to explore a range of options, such as basing MPAs on the presence of dynamic oceanic features, and to evaluate the potential future impacts of alternative interventions compared with 'no-action' counterfactuals, under a range of environmental and development scenarios. The modelling environment allows the analyst to test if indicators and management strategies are robust to uncertainties in how the ecosystem (and the broader human-ecosystem combination) operates, including the direct and indirect ecological effects of protection. Moreover, modelling results can be presented at multiple spatial and temporal scales, and relative to ecological, economic and social objectives. This helps to reveal potential 'surprises', such as regime shifts, trophic cascades and bottlenecks in human responses. Using illustrative examples, this paper briefly covers the history of the use of simulation models for evaluating MPA options, and discusses their utility and limitations for informing protected area management in the marine realm.
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页数:17
相关论文
共 112 条
  • [1] Combining multispecies home range and distribution models aids assessment of MPA effectiveness
    Abecasis, David
    Afonso, Pedro
    Erzini, Karim
    [J]. MARINE ECOLOGY PROGRESS SERIES, 2014, 513 : 155 - 169
  • [2] Improving social acceptability of marine protected area networks: A method for estimating opportunity costs to multiple gear types in both fished and currently unfished areas
    Adams, Vanessa M.
    Mills, Morena
    Jupiter, Stacy D.
    Pressey, Robert L.
    [J]. BIOLOGICAL CONSERVATION, 2011, 144 (01) : 350 - 361
  • [3] ADVANCES IN MARINE CONSERVATION - THE ROLE OF MARINE PROTECTED AREAS
    AGARDY, MT
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 1994, 9 (07) : 267 - 270
  • [4] Full compliance with harvest regulations yields ecological benefits: Northern Gulf of California case study
    Ainsworth, Cameron H.
    Morzaria-Luna, Hem Nalini
    Kaplan, Isaac C.
    Levin, Phillip S.
    Fulton, Elizabeth A.
    [J]. JOURNAL OF APPLIED ECOLOGY, 2012, 49 (01) : 63 - 72
  • [5] From science to policy-a geostatistical approach to identifying potential areas for cetacean conservation: a case study of bottlenose dolphins in the Pelagos sanctuary (Mediterranean Sea)
    Alessi, Jessica
    Fiori, Cristina
    [J]. JOURNAL OF COASTAL CONSERVATION, 2014, 18 (04) : 449 - 458
  • [6] [Anonymous], EMPIRICAL AGENT BASE
  • [7] [Anonymous], 2013, A framework for understanding cumulative impacts, supporting environmental decisions and informing resilience-based management of the Great Barrier Reef World Heritage Area
  • [8] [Anonymous], 2010, 10 M C PARTIES
  • [9] [Anonymous], 477 FAO
  • [10] Armstrong CW, 2008, ECOL MODEL, V62, P242