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Niranjan H, Srinivas MN, Murty AVSN, Viswanathan KK. Fishery resource management with migratory prey harvesting in two zones- delay and stochastic approach. Sci Rep 2023; 13:7273. [PMID: 37142600 PMCID: PMC10160122 DOI: 10.1038/s41598-023-34130-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/25/2023] [Indexed: 05/06/2023] Open
Abstract
In this work, we looked at a two-zone aquatic habitat where both prey and predators can access the zones. The prey alternates between two zones at random. The growth of prey in the absence of a predator is believed to be logistic in each zone. The inner steady state is determined. Around the interior steady state, the deterministic model's local and global stability is investigated. Furthermore, a stochastic stability study is performed in the neighbourhood of a positive steady state, using analytical estimates of population mean square fluctuations to investigate the system's dynamics in the presence of Gaussian white noise.
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Affiliation(s)
- H Niranjan
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - M N Srinivas
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - A V S N Murty
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - K K Viswanathan
- Department of Mathematical Modeling, Faculty of Mathematics, Samarkand State University, 15, University Blvd., 140104, Samarkand, Uzbekistan.
- Department of Applied Mathematics and Informatics, Termez State University, 190100, Termez City, Uzbekistan.
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2
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Boulanger E, Loiseau N, Valentini A, Arnal V, Boissery P, Dejean T, Deter J, Guellati N, Holon F, Juhel JB, Lenfant P, Manel S, Mouillot D. Environmental DNA metabarcoding reveals and unpacks a biodiversity conservation paradox in Mediterranean marine reserves. Proc Biol Sci 2021; 288:20210112. [PMID: 33906403 PMCID: PMC8080007 DOI: 10.1098/rspb.2021.0112] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/29/2021] [Indexed: 12/17/2022] Open
Abstract
Although we are currently experiencing worldwide biodiversity loss, local species richness does not always decline under anthropogenic pressure. This conservation paradox may also apply in protected areas but has not yet received conclusive evidence in marine ecosystems. Here, we survey fish assemblages in six Mediterranean no-take reserves and their adjacent fishing grounds using environmental DNA (eDNA) while controlling for environmental conditions. We detect less fish species in marine reserves than in nearby fished areas. The paradoxical gradient in species richness is accompanied by a marked change in fish species composition under different managements. This dissimilarity is mainly driven by species that are often overlooked by classical visual surveys but detected with eDNA: cryptobenthic, pelagic, and rare fishes. These results do not negate the importance of reserves in protecting biodiversity but shed new light on how under-represented species groups can positively react to fishing pressure and how conservation efforts can shape regional biodiversity patterns.
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Affiliation(s)
- Emilie Boulanger
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | - Nicolas Loiseau
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | | | - Véronique Arnal
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | - Pierre Boissery
- Agence de l'Eau Rhône-Méditerranée-Corse, Délégation de Marseille, Marseille, France
| | | | | | - Nacim Guellati
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | | | | | | | - Stéphanie Manel
- CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | - David Mouillot
- MARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France
- Institut Universitaire de France, Paris, France
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3
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Bajeux N, Ghosh B. Stability switching and hydra effect in a predator-prey metapopulation model. Biosystems 2020; 198:104255. [PMID: 32950648 DOI: 10.1016/j.biosystems.2020.104255] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 08/20/2020] [Accepted: 09/15/2020] [Indexed: 10/23/2022]
Abstract
A metapopulation model is investigated to explore how the spatial heterogeneity affects predator-prey interactions. A Rosenzweig-MacArthur (RM) predator-prey model with dispersal of both the prey and predator is formulated. We propose such a system as a well mixed spatial model. Here, partially mixed spatial models are defined in which the dispersal of only one of the communities (prey or predator) is considered. In our study, the spatial heterogeneity is induced by dissimilar (unbalanced) dispersal rates between the patches. A large difference between the predator dispersal rates may stabilize the unstable positive equilibrium of the model. The existence of two ecological phenomena are found under independent harvesting strategy: stability switching and hydra effect. When prey or predator is harvested in a heterogenious environment, a positive stable steady state becomes unstable with increasing the harvesting effort, and a further increase in the effort leads to a stable equilibrium. Thus, a stability switching happens. Furthermore, the predator biomass (at stable state) in both the patches (and hence total predator stock) increases when the patch with a higher predator density is harvested; resulting a hydra effect. These two phenomena do not occur in the non-spatial RM model. Hence, spatial heterogeneity induces stability switching and hydra effect.
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Affiliation(s)
- Nicolas Bajeux
- Université Côte d'Azur, Inria, INRAE, CNRS, Sorbonne Université, Biocore team, Sophia Antipolis, France; Department of Mathematics, University of Manitoba, Winnipeg, Canada.
| | - Bapan Ghosh
- Discipline of Mathematics, Indian Institute of Technology Indore, Simrol, Indore 453552, Madhya Pradesh, India; Department of Mathematics, National Institute of Technology Meghalaya, Bijni Complex, Shillong 793003, Meghalaya, India.
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4
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Takashina N. On the spillover effect and optimal size of marine reserves for sustainable fishing yields. PeerJ 2020; 8:e9798. [PMID: 32904263 PMCID: PMC7453923 DOI: 10.7717/peerj.9798] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 08/02/2020] [Indexed: 11/20/2022] Open
Abstract
Marine reserves are an essential component of modern fishery management. Marine reserves, which represent a management tradeoff between harvesting and conservation, are fundamental to maintenance of fisheries. Finding optimal reserve sizes that improve fishing yields is not only of theoretical interest, but also of practical importance to facilitate decision making. Also, since the migratory behavior of some species influences the spillover effect of a marine reserve, this is a key consideration when assessing performance of marine reserves. The relationship between optimal reserve size and migration rate/mode has not been well studied, but it is fundamental to management success. Here, I investigate optimal reserve size and its management outcome with different levels of spillover via a simple two-patch mathematical model. In this model, one patch is open to fishing, and the other is closed. The two-patch model is aggregated by single-population dynamics when the migration rate is sufficiently larger than the growth rate of a target species. At this limit, I show that an optimal reserve size exists when pre-reserve fishing occurs at fishing mortality larger than fMSY, the fishing mortality at the maximum sustainable yield (MSY). Also, the fishing yield at an optimal reserve size becomes as large as MSY at the limit. Numerical simulations at various migration rates between the two patches suggest that the maximum harvest under management with a marine reserve is achieved at this limit. This contrasts with the conservation benefit which is maximized at an intermediate migration rate. Numerical simulations show that the above-mentioned condition for an optimal reserve size to exist derived from the aggregated model is necessary when the migration rate is not sufficiently large, and that a moderate migration rate is further necessary for an optimal reserve size to exist. However, high fishing mortality reduces this requirement.
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Affiliation(s)
- Nao Takashina
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
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5
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Pal D, Ghosh B, Kar TK. Hydra effects in stable food chain models. Biosystems 2019; 185:104018. [DOI: 10.1016/j.biosystems.2019.104018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 08/07/2019] [Accepted: 08/13/2019] [Indexed: 11/26/2022]
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Abstract
Food security remains a principal challenge in the developing tropics where communities rely heavily on marine-based protein. While some improvements in fisheries management have been made in these regions, a large fraction of coastal fisheries remain unmanaged, mismanaged, or use only crude input controls. These quasi-open-access conditions often lead to severe overfishing, depleted stocks, and compromised food security. A possible fishery management approach in these institution-poor settings is to implement fully protected marine protected areas (MPAs). Although the primary push for MPAs has been to solve the conservation problems that arise from mismanagement, MPAs can also benefit fisheries beyond their borders. The literature has not completely characterized how to design MPAs under diverse ecological and economic conditions when food security is the objective. We integrated four key biological and economic variables (i.e., fish population growth rate, fish mobility, fish price, and fishing cost) as well as an important aspect of reserve design (MPA size) into a general model and determined their combined influence on food security when MPAs are implemented in an open-access setting. We explicitly modeled open-access conditions that account for the behavioral response of fishers to the MPA; this approach is distinct from much of the literature that focuses on assumptions of “scorched earth” (i.e., severe over-fishing), optimized management, or an arbitrarily defined fishing mortality outside the MPA’s boundaries. We found that the MPA size that optimizes catch depends strongly on economic variables. Large MPAs optimize catch for species heavily harvested for their high value and/or low harvesting cost, while small MPAs or no closure are best for species lightly harvested for their low value and high harvesting cost. Contrary to previous theoretical expectations, both high and low mobility species are expected to experience conservation benefits from protection, although, as shown previously, greater conservation benefits are expected for low mobility species. Food security benefits from MPAs can be obtained from species of any mobility. Results deliver both qualitative insights and quantitative guidance for designing MPAs for food security in open-access fisheries.
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8
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Ghosh B, Pal D, Kar TK, Valverde JC. Biological conservation through marine protected areas in the presence of alternative stable states. Math Biosci 2017; 286:49-57. [PMID: 28167049 DOI: 10.1016/j.mbs.2017.02.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 12/26/2016] [Accepted: 02/02/2017] [Indexed: 11/30/2022]
Abstract
This article addresses how depleted stock can be restored by creation of marine reserve and species mobility when alternative stable states persist in a marine ecosystem. To understand the role of a marine protected area, we develop a two-patch version of an originally single-patch model. In the two-patch model, we prove that some of the locally stable equilibria are not stable equilibria from an ecological viewpoint. Similarly, some unstable equilibria determined classically from the mathematical model are no longer equilibria. It is shown that increasing reserve size may produce three alternative stable states in the presence of harvesting. Dynamic solutions have a tendency to reach an upper stable state from a lower stable state when reserve size is increased, but the opposite phenomenon (i.e., shifting to a lower stable state from an upper one) never occurs. This suggests that MPAs always have a positive effect in stock conservation even when alternative stable states inherently persist in marine ecosystems.
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Affiliation(s)
- Bapan Ghosh
- Department of Mathematics, National Institute of Technology Meghalaya, Bijni Complex, Shillong - 793003, Meghalaya, India.
| | - Debprasad Pal
- Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah - 711103, India.
| | - T K Kar
- Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah - 711103, India.
| | - Jose C Valverde
- Department of Mathematics, University of Castilla-La Mancha, 02071-Albacete, Spain.
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9
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Fulton EA, Bax NJ, Bustamante RH, Dambacher JM, Dichmont C, Dunstan PK, Hayes KR, Hobday AJ, Pitcher R, Plagányi ÉE, Punt AE, Savina-Rolland M, Smith ADM, Smith DC. Modelling marine protected areas: insights and hurdles. Philos Trans R Soc Lond B Biol Sci 2016; 370:rstb.2014.0278. [PMID: 26460131 DOI: 10.1098/rstb.2014.0278] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
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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Affiliation(s)
- Elizabeth A Fulton
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia
| | - Nicholas J Bax
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Institute for Marine and Antarctic Studies, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia
| | | | - Jeffrey M Dambacher
- CSIRO Digital Productivity, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia
| | - Catherine Dichmont
- CSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia
| | - Piers K Dunstan
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia
| | - Keith R Hayes
- CSIRO Digital Productivity, GPO Box 1538, Hobart, Tasmania 7001, Australia
| | - Alistair J Hobday
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia
| | - Roland Pitcher
- CSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia
| | - Éva E Plagányi
- CSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia
| | - André E Punt
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia School of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 98195-5020, USA
| | - Marie Savina-Rolland
- Laboratoire Ressources Halieutiques, Centre Manche - Mer du Nord, 150, quai Gambetta, BP 699, 62321 Boulogne sur Mer Cedex, France
| | - Anthony D M Smith
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia
| | - David C Smith
- CSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia
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10
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Pilyugin SS, Medlock J, De Leenheer P. The effectiveness of marine protected areas for predator and prey with varying mobility. Theor Popul Biol 2016; 110:63-77. [PMID: 27151107 DOI: 10.1016/j.tpb.2016.04.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Revised: 04/08/2016] [Accepted: 04/26/2016] [Indexed: 10/21/2022]
Abstract
Marine protected areas (MPAs) are regions in the ocean where fishing is restricted or prohibited. Although several measures for MPA performance exist, here we focus on a specific one, namely the ratio of the steady state fish densities inside and outside the MPA. Several 2 patch models are proposed and analyzed mathematically. One patch represents the MPA, whereas the second patch represents the fishing ground. Fish move freely between both regions in a diffusive manner. Our main objective is to understand how fish mobility affects MPA performance. We show that MPA effectiveness decreases with fish mobility for single species models with logistic growth, and that densities inside and outside the MPA tend to equalize. This suggests that MPA performance is highest for the least mobile species. We then consider a 2 patch Lotka-Volterra predator-prey system. When one of the species moves, and the other does not, the ratio of the moving species first remains constant, and ultimately decreases with increased fish mobility, again with a tendency of equalization of the density in both regions. This suggests that MPA performance is not only highest for slow, but also for moderately mobile species. The discrepancy in MPA performance for single species models and for predator-prey models, confirms that MPA design requires an integrated, ecosystem-based approach. The mathematical approaches advocated here complement and enhance the numerical and theoretical approaches that are commonly applied to more complex models in the context of MPA design.
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Affiliation(s)
| | - Jan Medlock
- Department of Biomedical Sciences, Oregon State University, United States.
| | - Patrick De Leenheer
- Department of Mathematics, Oregon State University, United States; Department of Integrative Biology, Oregon State University, United States.
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12
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Takashina N. Simple rules for establishment of effective marine protected areas in an age-structured metapopulation. J Theor Biol 2015; 391:88-94. [PMID: 26723532 DOI: 10.1016/j.jtbi.2015.11.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Revised: 11/27/2015] [Accepted: 11/30/2015] [Indexed: 10/22/2022]
Abstract
The implementation of effective protected areas is one of the central goals of modern conservation biology. In the context of fisheries management and marine ecosystem conservation, marine reserves often play a significant role to achieve sustainable fisheries management. Consequently, a substantial number of studies have been conducted to establish broad rules for the creation of MPAs, or to test the effects of MPAs in specific regions. However, there still exist many challenges for implementing MPAs that are effective at meeting their goals. Deducing theoretical conditions guaranteeing that the introduction of marine reserves will increase fisheries yields in age-structured population dynamics is one such challenge. To derive such conditions, a simple mathematical model is developed that follows an age-structured metapopulation dynamics of a sedentary species. The obtained results suggest that a sufficiently high fishing mortality rate and moderate recruitment success of an individual's eggs is a necessary for marine reserves to increase fisheries yields. The numerical calculations were conducted with the parameters of red abalone (Haliotis rufescens) to visualize and to check validity of the analytical results. They show good agreement with the analytical results, as well as the results obtained in the previous works.
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Affiliation(s)
- Nao Takashina
- Department of Biology, Faculty of Sciences, Kyushu University, 6-10-1, Hakozaki, Fukuoka 812-8581, Japan.
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13
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Baskett ML, Barnett LA. The Ecological and Evolutionary Consequences of Marine Reserves. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2015. [DOI: 10.1146/annurev-ecolsys-112414-054424] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Here we review the population, community, and evolutionary consequences of marine reserves. Responses at each level depend on the tendency of fisheries to target larger body sizes and the tendency for greater reserve protection with less movement within and across populations. The primary population response to reserves is survival to greater ages and sizes plus increases in the population size for harvested species, with greater response to reserves that are large relative to species' movement rates. The primary community response to reserves is an increase in total biomass and diversity, with the potential for trophic cascades and altered spatial patterning of metacommunities. The primary evolutionary response to reserves is increased genetic diversity, with the theoretical potential for protection against fisheries-induced evolution and selection for reduced movement. The potential for the combined outcome of these responses to buffer marine populations and communities against temporal environmental heterogeneity has preliminary theoretical and empirical support.
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Affiliation(s)
- Marissa L. Baskett
- Department of Environmental Science and Policy, University of California, Davis, California 95616-5270
| | - Lewis A.K. Barnett
- Joint Institute for the Study of the Atmosphere and Oceans, under contract to Fisheries Resource Assessment and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, Seattle, Washington 98110
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington 98195
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14
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Takashina N, Mougi A. Maximum sustainable yields from a spatially-explicit harvest model. J Theor Biol 2015; 383:87-92. [PMID: 26254215 DOI: 10.1016/j.jtbi.2015.07.028] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 07/23/2015] [Accepted: 07/26/2015] [Indexed: 11/27/2022]
Abstract
Spatial heterogeneity plays an important role in complex ecosystem dynamics, and therefore is also an important consideration in sustainable resource management. However, little is known about how spatial effects can influence management targets derived from a non-spatial harvest model. Here, we extended the Schaefer model, a conventional non-spatial harvest model that is widely used in resource management, to a spatially-explicit harvest model by integrating environmental heterogeneities, as well as species exchange between patches. By comparing the maximum sustainable yields (MSY), one of the central management targets in resource management, obtained from the spatially extended model with that of the conventional model, we examined the effect of spatial heterogeneity. When spatial heterogeneity exists, we found that the Schaefer model tends to overestimate the MSY, implying potential for causing overharvesting. In addition, by assuming a well-mixed population in the heterogeneous environment, we showed analytically that the Schaefer model always overestimate the MSY, regardless of the number of patches existing. The degree of overestimation becomes significant when spatial heterogeneity is marked. Collectively, these results highlight the importance of integrating the spatial structure to conduct sustainable resource management.
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Affiliation(s)
- Nao Takashina
- Department of Biology, Faculty of Sciences, Kyushu University, 6-10-1, Hakozaki, Fukuoka, 812-8581, Japan.
| | - Akihiko Mougi
- Department of Biological Science, Faculty of Life and Environmental Science, Shimane University, Nishikawatsu-cho 1060, Matsue 690-8504, Japan.
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Soykan CU, Lewison RL. Using community-level metrics to monitor the effects of marine protected areas on biodiversity. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2015; 29:775-783. [PMID: 25572325 DOI: 10.1111/cobi.12445] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Accepted: 09/04/2014] [Indexed: 06/04/2023]
Abstract
Marine protected areas (MPAs) are used to protect species, communities, and their associated habitats, among other goals. Measuring MPA efficacy can be challenging, however, particularly when considering responses at the community level. We gathered 36 abundance and 14 biomass data sets on fish assemblages and used meta-analysis to evaluate the ability of 22 distinct community diversity metrics to detect differences in community structure between MPAs and nearby control sites. We also considered the effects of 6 covariates-MPA size and age, MPA size and age interaction, latitude, total species richness, and level of protection-on each metric. Some common metrics, such as species richness and Shannon diversity, did not differ consistently between MPA and control sites, whereas other metrics, such as total abundance and biomass, were consistently different across studies. Metric responses derived from the biomass data sets were more consistent than those based on the abundance data sets, suggesting that community-level biomass differs more predictably than abundance between MPA and control sites. Covariate analyses indicated that level of protection, latitude, MPA size, and the interaction between MPA size and age affect metric performance. These results highlight a handful of metrics, several of which are little known, that could be used to meet the increasing demand for community-level indicators of MPA effectiveness.
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Affiliation(s)
| | - Rebecca L Lewison
- Biology Department, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-4614, U.S.A
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17
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Ghosh B, Kar T. Sustainable use of prey species in a prey–predator system: Jointly determined ecological thresholds and economic trade-offs. Ecol Modell 2014. [DOI: 10.1016/j.ecolmodel.2013.09.013] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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18
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Takashina N, Mougi A. Effects of marine protected areas on overfished fishing stocks with multiple stable states. J Theor Biol 2013; 341:64-70. [PMID: 24083999 DOI: 10.1016/j.jtbi.2013.09.027] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2013] [Revised: 08/13/2013] [Accepted: 09/18/2013] [Indexed: 10/26/2022]
Abstract
Marine protected areas (MPAs) have attracted much attention as a tool for sustainable fisheries management, restoring depleted fisheries stocks and maintaining ecosystems. However, even with total exclusion of fishing effort, depleted stocks sometimes show little or no recovery over a long time period. Here, using a mathematical model, we show that multiple stable states may hold the key to understanding the tendency for fisheries stocks to recover because of MPAs. We find that MPAs can have either a positive effect or almost no effect on the recovery of depleted fishing stocks, depending on the fish migration patterns and the fishing policies. MPAs also reinforce ecological resilience, particularly for migratory species. In contrast to previous reports, our results show that MPAs have small or sometimes negative effects on the recovery of sedentary species. Unsuitable MPA planning might result in low effectiveness or even deterioration of the existing condition.
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Affiliation(s)
- Nao Takashina
- Department of Biology, Faculty of Sciences, Kyushu University, 6-10-1, Hakozaki, Fukuoka 812-8581, Japan.
| | - Akihiko Mougi
- Department of Biological Sciences, Faculty of Life and Environmental Sciences, Shimane University, 1060 Nishikawatsu-cho, Matsue-shi, Shimane 690-8504, Japan
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Chakraborty K, Das K, Kar TK. An ecological perspective on marine reserves in prey-predator dynamics. J Biol Phys 2013; 39:749-76. [PMID: 23949368 DOI: 10.1007/s10867-013-9329-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Accepted: 07/02/2013] [Indexed: 11/28/2022] Open
Abstract
This paper describes a prey-predator type fishery model with prey dispersal in a two-patch environment, one of which is a free fishing zone and other is a protected zone. The existence of possible steady states, along with their local stability, is discussed. A geometric approach is used to derive the sufficient conditions for global stability of the system at the positive equilibrium. Relative size of the reserve is considered as control in order to study optimal sustainable yield policy. Subsequently, the optimal system is derived and then solved numerically using an iterative method with Runge-Kutta fourth-order scheme. Numerical simulations are carried out to illustrate the importance of marine reserve in fisheries management. It is noted that the marine protected area enables us to protect and restore multi-species ecosystem. The results illustrate that dynamics of the system is extremely interesting if simultaneous effects of a regulatory mechanism like marine reserve is coupled with harvesting effort. It is observed that the migration of the resource, from protected area to unprotected area and vice versa, is playing an important role towards the standing stock assessment in both the areas which ultimately control the harvesting efficiency and enhance the fishing stock up to some extent.
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Affiliation(s)
- Kunal Chakraborty
- Information Services and Ocean Sciences Group, Indian National Centre for Ocean Information Services, Hyderabad, Ocean Valley, Pragathi Nagar BO, Nizampet SO, Hyderabad 500090, India.
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Ghosh B, Kar TK. Maximum sustainable yield and species extinction in a prey-predator system: some new results. J Biol Phys 2013; 39:453-67. [PMID: 23860920 DOI: 10.1007/s10867-013-9303-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2012] [Accepted: 02/07/2013] [Indexed: 10/27/2022] Open
Abstract
Though the maximum sustainable yield (MSY) approach has been legally adopted for the management of world fisheries, it does not provide any guarantee against from species extinction in multispecies communities. In the present article, we describe the appropriateness of the MSY policy in a Holling-Tanner prey-predator system with different types of functional responses. It is observed that for both type I and type II functional responses, harvesting of either prey or predator species at the MSY level is a sustainable fishing policy. In the case of combined harvesting, both the species coexist at the maximum sustainable total yield (MSTY) level if the biotic potential of the prey species is greater than a threshold value. Further, increase of the biotic potential beyond the threshold value affects the persistence of the system.
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Affiliation(s)
- Bapan Ghosh
- Department of Mathematics, Bengal Engineering and Science University, Shibpur, Howrah, 711103, India.
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Possible ecosystem impacts of applying maximum sustainable yield policy in food chain models. J Theor Biol 2013; 329:6-14. [DOI: 10.1016/j.jtbi.2013.03.014] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 03/15/2013] [Accepted: 03/17/2013] [Indexed: 11/30/2022]
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Sustainability and economic consequences of creating marine protected areas in multispecies multiactivity context. J Theor Biol 2013; 318:81-90. [DOI: 10.1016/j.jtbi.2012.11.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Revised: 10/30/2012] [Accepted: 11/01/2012] [Indexed: 11/22/2022]
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