1
|
Sun M, Setiawan A, Susila PB, Ernawati T, Fang L, Fujita R, Guan L, Harlisa H, Ingles J, Mesa S, Kleisner K, Chen Y. Evaluating adaptive management frameworks for data-limited crustacean fisheries. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 341:118074. [PMID: 37141717 DOI: 10.1016/j.jenvman.2023.118074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/07/2023] [Accepted: 04/28/2023] [Indexed: 05/06/2023]
Abstract
Crustacean fisheries represent an increasingly important contribution to global landings, food security and economic growth, especially in developing countries. However, many productive and valuable crustacean fisheries in Asian countries are characterized by limited data availability, scientific capacity, and fisheries management. Adaptive management frameworks, which use past and emerging information to provide stock status information and management advice, have been touted as particularly applicable for managing capacity- and data-limited fisheries because they employ methods that can improve data collection and result in evaluations of stock and ecosystem status with varying levels of data and capacity. Here, we examined the application of three adaptive fisheries management frameworks (FISHE, FishPath, and DLMtool) to three typical Asian crustacean fisheries that offered contrasting data types and availability, governance, and management and socio-economic contexts. Our aim was to evaluate their suitability for crustacean fisheries and identify particular data and modeling needs and management gaps in these fisheries. We found that while each of the frameworks could effectively recommend suitable monitoring, assessment, and management options given particular contextual factors, there were also limitations with each approach. For example, FISHE took a more wholistic view of ecosystem and fisheries heath, while the other frameworks were more focused on particular aspects of management such as stock assessment (FishPath) and management strategy evaluation (MSE; DLMtool). Applications of each approach also highlighted particular challenges in collecting commercial catch data due to limited monetary investment and poorly designed monitoring programs, which further hindered the implementation of catch and effort limits. The three frameworks also shared common challenges when applied to crustacean species, mainly associated with misalignment with the unique life-histories of crustaceans compared to finfish. By comparing the outputs of the three frameworks, we highlighted their respective strengths and weaknesses and propose an integrated framework that incorporates elements of each of the three frameworks. This integration offers a more comprehensive adaptive roadmap tailored to crustacean fisheries, which involves a mix of qualitative and quantitative approaches that could be applied depending on contextual factors and capacities. To further improve the applicability of adaptive frameworks to crustacean fisheries, we suggest considering crustacean's unique life history and the effects of climate change and other environmental factors, strengthening participatory processes, and balancing socio-economic and ecological objectives.
Collapse
Affiliation(s)
- Ming Sun
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA; Institute for Advanced Computational Science, Stony Brook University, Stony Brook, NY, 11794, USA.
| | - Adityo Setiawan
- People and Nature, Environmental Defense Fund, 257 Park Ave S, New York, NY, 10010, USA
| | - Panca B Susila
- Directorate of Fish Resource Management, Ministry of Marine Affairs and Fisheries, Jakarta, Indonesia
| | - Tri Ernawati
- Research Center for Fishery, National Research and Innovation Agency, Republic of Indonesia, Gedung Biologi, Jl. Raya Bogor KM 47 Nanggewer Mekar, Cibinong, 16912, Indonesia
| | - Lu Fang
- Scientific and Analytical Team, Qingdao Marine Conservation Society, No. 9, Nanhai Road, Shinan District, Qingdao City, Shandong Province, China
| | - Rod Fujita
- People and Nature, Environmental Defense Fund, 257 Park Ave S, New York, NY, 10010, USA
| | - Lisha Guan
- Fisheries Resources and Ecosystem Department, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, China
| | - Harlisa Harlisa
- People and Nature, Environmental Defense Fund, 257 Park Ave S, New York, NY, 10010, USA
| | - Jose Ingles
- People and Nature, Environmental Defense Fund, 257 Park Ave S, New York, NY, 10010, USA
| | - Sheryll Mesa
- Regional Fisheries Office No. VI, Bureau of Fisheries and Aquatic Resources, Philippines
| | - Kristin Kleisner
- People and Nature, Environmental Defense Fund, 257 Park Ave S, New York, NY, 10010, USA
| | - Yong Chen
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA; Institute for Advanced Computational Science, Stony Brook University, Stony Brook, NY, 11794, USA
| |
Collapse
|
3
|
Pal D, Kar TK, Yamauchi A, Ghosh B. Balancing maximum sustainable yield and ecological resilience in an exploited two-predator one-prey system. Biosystems 2019; 187:104064. [PMID: 31669561 DOI: 10.1016/j.biosystems.2019.104064] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 09/14/2019] [Accepted: 10/14/2019] [Indexed: 12/01/2022]
Abstract
In this paper, we consider a two-predator one-prey system to determine the feedback of exploitation in individual as well as joint population levels. As balancing yield with resilience is highly essential for the conservation of species in the marine ecosystem, here we measure both the maximum sustainable yield (MSY) and resilience simultaneously. Then we investigate both the trade-offs and synergies among maximum yield, conservation, and resilience that emerge from different harvesting plans. It is found that for single species harvesting, a prey species-oriented system is capable of producing more yield in compare to any predator-oriented system but for resilience, a prey species-oriented system is far behind the others. In the case of joint harvesting of all the species, it is observed that the first predator-oriented system has a better ability to absorb the disturbances than the other cases. The correlation between yield and resilience at the MSY level is studied in all the cases. It is further observed that the increase of intraspecific competition in the predator decreases the risk of sustainability. In this way, this study may be helpful for fishery management to fulfill their goals without affecting the ecosystem's health in the long run.
Collapse
Affiliation(s)
- Debprasad Pal
- Department of Mathematics, Bethune College, 181, Bidhan Sarani, Kolkata-700006, West Bengal, India; Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Botanic Garden, Howrah-711103, West Bengal, India.
| | - Tapan Kumar Kar
- Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Botanic Garden, Howrah-711103, West Bengal, India.
| | - Atsushi Yamauchi
- Center for Ecological Research, Kyoto University, Hirano 2-509-3, Otsu 520-2113, Japan.
| | - Bapan Ghosh
- Department of Mathematics, National Institute of Technology Meghalaya, Bijni Complex, Shillong-793003, Meghalaya, India.
| |
Collapse
|
4
|
Kar TK, Pal D, Ghosh B. Managing yield and resilience in a harvested tri-trophic food chain model. J Theor Biol 2019; 469:35-46. [PMID: 30742836 DOI: 10.1016/j.jtbi.2019.02.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 02/05/2019] [Accepted: 02/08/2019] [Indexed: 10/27/2022]
Abstract
In this article, we compare the two ecological services known as yield and resilience, for a tri-trophic food chain model consisting of a prey, an intermediate predator and a top predator. For this comparison process, we use both analytical and numerical techniques. It is shown that a variety of patterns are possible based on the intensity of efforts distributed among different trophic levels. Thus we may suggest that fishing down the food chain, as suggested by Pauly et al. (1998) is not bound to happen. Our analysis also shows that balancing the harvest between prey, intermediate predator and top predator could give more yield and stabilizing the ecosystem, than the selective harvesting of any one species. This balanced harvesting may not be a win-win situation for yield and resilience, but it could be a most favourable strategy to balance them. This research would help to correlate resilience with yield and determines the desirable selection of two policies, resilience maximizing yield or maximum sustainable yield to safeguard ecological communities.
Collapse
Affiliation(s)
- Tapan Kumar Kar
- Department of Mathematics, Indian Institute of Engineering Science and Technology Shibpur, Botanic Garden, Howrah 711103, West Bengal, India.
| | - Debprasad Pal
- Department of Mathematics, Indian Institute of Engineering Science and Technology Shibpur, Botanic Garden, Howrah 711103, West Bengal, India; Department of Mathematics, Bethune College, 181, Bidhan Sarani, Kolkata 700006, West Bengal, India.
| | - Bapan Ghosh
- Department of Mathematics, National Institute of Technology Meghalaya, Bijni Complex, Shillong 793003, Meghalaya, India.
| |
Collapse
|
5
|
Ghosh B, Pal D, Legović T, Kar TK. Harvesting induced stability and instability in a tri-trophic food chain. Math Biosci 2018; 304:89-99. [PMID: 30077688 DOI: 10.1016/j.mbs.2018.08.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/31/2018] [Accepted: 08/01/2018] [Indexed: 11/24/2022]
Abstract
Non-equilibrium dynamics in the form of oscillations or chaos is often found to be a natural phenomenon in complex ecological systems. In this paper, we first analyze a tri-trophic food chain, which is an extension of the Rosenzweig-MacArthur di-trophic food chain. We then explore the impact of harvesting individual trophic levels to answer the following questions : a) when a non-equilibrium dynamics persists, b) whether it can locally be stabilized to a steady state, c) when the system switches from a stable steady state to a non-equilibrium dynamics and d) whether the Maximum Sustainable Yield (MSY) always exists when the top predator is harvested. It is shown that searching for a general theory to unify the harvesting induced stability must take into account the number of trophic levels and the degree of species enrichment, the outcomes that cannot be obtained from the earlier reports on prey-predator models. We also identify the situation where harvesting induces instability switching: the non-equilibrium state enters into a stable steady-state and then, upon more intensive harvesting, the steady-state again loses its stability. One of the new and important results is also that the MSY may not exist for harvesting the top predator. In general, our results contribute to biological conservation theory, fishery and ecosystem biodiversity management.
Collapse
Affiliation(s)
- Bapan Ghosh
- Department of Mathematics, National Institute of Technology Meghalaya, Bijni Complex, Shillong, Meghalaya 793003, India.
| | - Debprasad Pal
- Department of Mathematics, Indian Institute of Engineering Science and Technology Shibpur, Botanic Garden, Howrah, West Bengal 711103, India.
| | - Tarzan Legović
- Division of Marine and Environmental Research, R. Bošković Institute, POB 180, Zagreb HR-1002, Croatia.
| | - T K Kar
- Department of Mathematics, Indian Institute of Engineering Science and Technology Shibpur, Botanic Garden, Howrah, West Bengal 711103, India.
| |
Collapse
|