Journal of Fisheries Research

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +44 151 808 1136

Perspective - Journal of Fisheries Research (2023) Volume 7, Issue 6

Ecosystem modeling for improved understanding of climate change impact on fisheries

Masashi Watari*

Department of Environmental Sciences, Nagasaki University, Japan

*Corresponding Author:
Masashi Watari
Department of Environmental Sciences
Nagasaki University
Japan
E-mail:masashi@watari.jp

Received:02-Dec-2023,Manuscript No.AAJFR-23-124602; Editor assigned:04-Dec-2023,PreQC No. AAJFR-23-124602(PQ); Reviewed:18-Dec-2023,QC No.AAJFR-23-124602; Revised:22-Dec-2023,Manuscript No.AAJFR-23-124602(R); Published:30-Dec-2023,DOI: 10.35841/ aajfr-7.6.180

Citation: Watari M. Ecosystem modeling for improved understanding of climate change impact on fisheries. J Fish Res.2023;7(6):180

Visit for more related articles at Journal of Fisheries Research

Introduction

One of the most important issues of the twenty-first century is climate change, which has serious effects on ecosystems all around the world. The effects of climate change, which go beyond rising temperatures and include changes in ocean currents, altered precipitation patterns, and habitat distribution, are especially dangerous for fisheries because they are intricate socio-ecological systems. Effective fisheries management in the face of uncertainties brought on by climate change requires an understanding of the complex relationships within these ecosystems. With its comprehensive approach, ecosystem modelling is a potent tool for deciphering the intricate effects of climate change on fisheries.[1].

The overwhelming body of scientific evidence supporting human-caused climate change emphasises how urgent it is to understand how it will affect fisheries. The range, quantity, and behaviour of important species that are the target of fisheries are all impacted by the cascading effects of ocean warming, acidification, and changed nutrient cycles on marine ecosystems. Numerous ecological elements, such as the connections between prey and predator, the suitability of the environment, and the availability of resources, are intrinsically linked to fisheries. The introduction of dynamic and linked stressors brought about by climate change calls for a comprehensive knowledge that goes beyond conventional single-species approaches.[2].

With its capacity to represent the intricacy of interactions between biological, physical, and chemical elements within ecosystems, ecosystem modelling holds great promise for advancing our knowledge of how fisheries are impacted by climate change. These models provide a holistic view of the potential and vulnerabilities resulting from changes generated by climate change by incorporating ecological, environmental, and socio-economic components. The purpose of this study is to investigate and assess how ecosystem modelling might be used to improve our comprehension of how fisheries are affected by climate change. Through a comprehensive analysis of modelling techniques, case studies, and existing literature, this study aims to identify the advantages, disadvantages, and prospects for ecosystem models in this particular domain.The study will investigate several ecological model types, such as integrated assessment models, dynamic biogeochemical models, and trophic models. The flexibility and transferability of modelling methodologies will be examined through a close examination of case studies from various geographical regions and target species. The results of this study directly affect how fisheries management plans should be implemented in light of climate change. Adaptive management techniques that can strengthen the resilience of fisheries and the communities that depend on them are made possible by an understanding of how ecosystems react to climatic stresses. Ecosystem modelling shows up as a compass that helps us make sense of the complex ecological dynamics at work as we traverse the unknown waters of how climate change affects fisheries. This project aims to contribute to the development of informed and adaptable strategies for guaranteeing the sustainability and resilience of global fisheries in an unpredictable climate by disentangling the intricate web of interactions within marine ecosystems.[3].

In summary, ecosystem modelling plays a critical role in deciphering the complex dynamics found in marine ecosystems, as demonstrated by the investigation of this tool's potential utility for comprehending the effects of climate change on fisheries. The underlying factors that determine the quantity, distribution, and behaviour of marine species that are the objective of fisheries are altered by climate change, posing hitherto unheard-of difficulties. The importance of ecosystem modelling has been examined in this study in order to increase our knowledge of these intricate relationships and, consequently, the basis for efficient fisheries management in a changing climate. The ability of ecosystem models to integrate ecological, environmental, and socioeconomic factors offers a comprehensive perspective for understanding the intricacy of maritime ecosystems. These models incorporate the interdependence of species, ecosystems, and environmental factors, allowing for a more detailed understanding of how climate change affects fisheries.[4].

Analysing case studies from various species and geographical areas has provided insight into the effectiveness and applicability of various ecosystem modelling techniques. Each technique offers a variety of tools to suit different fisheries and environmental conditions, and they all give distinct insights. These tools range from trophic models to dynamic biogeochemical models. The results highlight the usefulness of ecosystem modelling in developing adaptive fisheries management plans. By being aware of the potential and risks brought about by climate change, proactive steps can be taken to increase the resilience of fisheries. Managers may handle uncertainty and advance sustainable practices by incorporating insights gained from models into their decision-making processes.[5].

Conclusion

Even though ecosystem modelling is a useful tool, there are still issues. It is understood that there are model uncertainties, data restrictions, and a need for continuous improvement. The creation of more spatially explicit models, the inclusion of real-time data, and improved cooperation between scholars, decision-makers, and stakeholders ought to be the top priorities for future study. This research has worldwide ramifications since climate change cuts beyond geopolitical boundaries. The use of ecosystem modelling supports worldwide efforts to maintain the resilience and sustainability of marine ecosystems as well as localised fisheries management. Understanding how fisheries are impacted by climate change might help shape global policy and collaborative management techniques.To put it simply, ecosystem modelling is a vital tool for navigating the complicated effects of climate change on fisheries. Through the promotion of a more profound comprehension of ecological relationships, these models enable us to confront the obstacles presented by a shifting climate with anticipation and flexibility. Ecosystem modelling techniques need to be continuously improved and applied if we are to ensure the sustainability of world fisheries.

References

References

  1. Bondad-Reantaso MG, Subasinghe RP, Josupeit H, et al. The role of crustacean fisheries and aquaculture in global food security: past, present and future. J Invertebr Pathol. 2012;110(2):158-65.


    2. Indexed at,Google scholar,Cross ref

  2. Jennings S, Kaiser MJ. The effects of fishing on marine ecosystems. Adv Mar Biol. 1998;34: 201-352.


    3. Google scholar,

  3. Tu?an M. Panel VAR models with interactive fixed effects. J. Econom.2021;24(2):225-46.


    4. Google scholar

  4. Alvarez J, Arellano M. The time series and cross?section asymptotics of dynamic panel data estimators. Econometrica. 2003;( 4):1121-59.


    5. Google scholar

  5. Sigmund M, Ferstl R. Panel vector autoregression in R with the package panelvar. Q Rev Econ Finance. 2021; 80:693-720.


    6. Google scholar

  6. Bi M, Zhang Z, Guo X, et al. Evaluation of Sustainable Utilization of African Marine Fishery Resources. Fishes. 2022;(1):4.


    7. Google scholar

  7. Abrigo MR, Love I. Estimation of panel vector autoregression in Stata. Stata J. 2016;(3):778-804.


    8. Google scholar

  8. Han LM, Li DH. Blue food system: Guarantee of China’s food security. Issues Agric. Econ. 2015;36:24-9.


    9. Google scholar

  9. Fu XM, Wu WY, Lin CY, et al. Green innovation ability and spatial spillover effect of marine fishery in China. Ocean Coast Manag. 2022;228:106310.


    10. Google scholar

  10. Ji J, Li Y. The development of China's fishery informatization and its impact on fishery economic efficiency. Marine Policy. 2021;133:104711.


    11. Google scholar

Get the App