Protecting juveniles, spawners or both: A practical statistical modelling approach for the design of marine protected areas

Two kinds of approaches have been used for assessing conservation and fisheries-related effects of marine protected areas (MPAs): (i) statistical modelling based on field data and (ii) mathematical modelling quantifying the consequences of MPAs on the dynamics of populations, communities, and fisheries. Statistical models provide a diagnostic on the impact of MPAs on the ecosystem and resources; they are also needed for devising and assessing sampling designs for monitoring programs. Dynamic models enable exploration of the consequences of MPA designs and other management policies. We briefly review how each of these approaches has been implemented up to now in the literature and identify potential indicators of MPA effects that can be obtained from each approach to provide scientific advice for managers. Methodological gaps that impede the assessment of MPA effects and the construction of appropriate indicators are then discussed, and recent developments in this respect are presented. We finally propose ways to reconcile the two approaches based on their complementarity to derive suitable indicators to support decision making. In this respect, we suggest in addition that MPA managers should be associated from the beginning to the design and construction of indicators.

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A modelling approach to assess the impact of land mining on marine biodiversity: Assessment in coastal catchments experiencing catastrophic events (SW Brazil)

10.31230/osf.io/ag3r6 ◽

2019 ◽

Author(s):

RAFAEL Almeida MAGRIS ◽

Martinho Marta-Almeida ◽

Jose Alberto Monteiro ◽

Natalie Ban

Keyword(s):

Protected Areas ◽

Marine Protected Areas ◽

Immediate Release ◽

Dam Failure ◽

Marine Biodiversity ◽

Pulse Disturbance ◽

Tailing Dam ◽

The Impact ◽

Over Time ◽

Modelling Approach

Analysis that link hydrological processes with oceanographic dispersion offer a promising approach for assessing impacts of land-based activities on marine ecosystems. However, such an analysis has not yet been customised to quantify specific pressures from mining activities on marine biodiversity including those from spillages resulting from tailing dam failure. Here, using a Brazilian catchment in which a tailing dam collapsed (Doce river) as a case study, we provide a modelling approach to assess the impacts on key ecosystems and marine protected areas subjected to two exposure regimes: (i) a pulse disturbance event for the period 2015-2016, following the immediate release of sediments after dam burst, which witnessed an average increase of 88% in sediment exports; and (ii) a press disturbance phase for the period 2017-2029, when impacts are sustained over time by sediments along the river’s course. We integrated four components into impact assessments: hydrological modelling, coastal-circulation modelling, ecosystem mapping, and biological sensitivities. The results showed that pulse disturbance causes sharp increases in the amount of sediments entering the coastal area, exposing key sensitive ecosystems to pollution (e.g. rhodolith beds), highlighting an urgent need for developing restoration strategies for these areas. The intensity of impacts will diminish over time but the total area of sensitive ecosystems at risk are predicted to be enlarged. We determined monitoring and restoration priorities by evaluating and comparing the extent to which sensitive ecosystems within marine protected areas were exposed to disturbances. The information obtained in this study will allow the optimization of recovery efforts in the marine area affected, and valuation of ecosystem services lost.

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Spillover from marine protected areas on the pacific coast in Colombia: A bioeconomic modelling approach for shrimp fisheries

Marine Policy ◽

10.1016/j.marpol.2017.10.036 ◽

2018 ◽

Vol 88 ◽

pp. 182-188 ◽

Cited By ~ 4

Author(s):

Rafael Cuervo-Sánchez ◽

Jorge H. Maldonado ◽

Mario Rueda

Keyword(s):

Protected Areas ◽

Marine Protected Areas ◽

Pacific Coast ◽

The Pacific ◽

Bioeconomic Modelling ◽

Shrimp Fisheries ◽

Modelling Approach

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The effects of marine protected areas on ecosystem recovery and fisheries using a comparative modelling approach

Aquatic Conservation Marine and Freshwater Ecosystems ◽

10.1002/aqc.3368 ◽

2020 ◽

Vol 30 (10) ◽

pp. 1885-1901

Author(s):

Daniel Vilas ◽

Marta Coll ◽

Xavier Corrales ◽

Jeroen Steenbeek ◽

Chiara Piroddi ◽

...

Keyword(s):

Protected Areas ◽

Marine Protected Areas ◽

Ecosystem Recovery ◽

Comparative Modelling ◽

Modelling Approach

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Exploring the effect of Marine Protected Areas on the dynamics of fish communities in the southern Benguela: an individual-based modelling approach

ICES Journal of Marine Science ◽

10.1093/icesjms/fsn171 ◽

2008 ◽

Vol 66 (2) ◽

pp. 378-387 ◽

Cited By ~ 24

Author(s):

Dawit Yemane ◽

Yunne-Jai Shin ◽

John G. Field

Keyword(s):

Protected Areas ◽

Marine Protected Areas ◽

Fish Communities ◽

Ecosystem Approach ◽

Relative Increase ◽

Predatory Fish ◽

Spatially Explicit ◽

Small Pelagic Fish ◽

Multispecies Model ◽

Modelling Approach

Abstract Yemane, D., Shin, Y-J., and Field, J. G. 2009. Exploring the effect of Marine Protected Areas on the dynamics of fish communities in the southern Benguela: an individual-based modelling approach. – ICES Journal of Marine Science, 66: 378–387. Marine Protected Areas (MPAs) have been suggested as a tool that can achieve some of the goals of an Ecosystem Approach to Fisheries (EAF), e.g. prevention of overexploitation, biodiversity conservation, recovery of overexploited population, but the consequences of their establishment on the dynamics of protected components are often unclear. Spatial and multispecies models can be used to investigate the effects of their introduction. An individual-based, spatially explicit, size-structured, multispecies model (known as OSMOSE) is used to investigate the likely consequences of the introduction of three MPAs off the coast of South Africa, individually or in combination. The simultaneous introduction of the MPAs affected varying proportions of the distribution of the modelled species (5–17%) and 12% of the distribution of the whole community. In general, the introduction of the MPAs in the different scenarios resulted in a relative increase in the biomass of large predatory fish and a decrease in the biomass of small pelagic fish. The simulation demonstrates that consideration of trophic interactions is necessary when introducing MPAs, with indirect effects that may be detrimental to some (mainly smaller prey) species.

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