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Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization

Published online by Cambridge University Press:  16 May 2024

Nia H. Jones*
Affiliation:
School of Ocean Sciences, Bangor University, Askew St., Menai Bridge, Wales, UK
David Christie
Affiliation:
School of Ocean Sciences, Bangor University, Askew St., Menai Bridge, Wales, UK
Jonathan Demmer
Affiliation:
School of Ocean Sciences, Bangor University, Askew St., Menai Bridge, Wales, UK
Ibnu Faizal
Affiliation:
Department of Marine Science, University of Padjadjaran, Bandung, Indonesia
Noah Giebink
Affiliation:
Conservation Science Partners, 11050 Pioneer Trail, Suite 202 Truckee, CA 96161, USA
Peng Huang
Affiliation:
Department of Materials, The University of Manchester, Manchester, UK
Gaynor Jones
Affiliation:
Aquatera Ltd, Orkney Research & Innovation Centre, Back Rd, Stromness, Scotland, UK
Komali Kantamaneni
Affiliation:
School of Engineering, University of Central Lancashire, Preston, UK
Matthew J. Lewis
Affiliation:
School of Ocean Sciences, Bangor University, Askew St., Menai Bridge, Wales, UK
Munawir B. Pratama
Affiliation:
School of Engineering, The University of Edinburgh, Edinburgh, UK
Noir P. Purba
Affiliation:
Department of Marine Science, University of Padjadjaran, Bandung, Indonesia
Sophie L. Ward
Affiliation:
School of Ocean Sciences, Bangor University, Askew St., Menai Bridge, Wales, UK
Peter E. Robins
Affiliation:
School of Ocean Sciences, Bangor University, Askew St., Menai Bridge, Wales, UK
*
Corresponding author: Nia H. Jones; Email: niajones@bangor.ac.uk
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Abstract

Marine litter poses a complex challenge in Indonesia, necessitating a well-informed and coordinated strategy for effective mitigation. This study investigates the seasonality of plastic concentrations around Sulawesi Island in central Indonesia during monsoon-driven wet and dry seasons. By using open data and methodologies including the HYCOM and Parcels models, we simulated the dispersal of plastic waste over 3 months during both the southwest and northeast monsoons. Our research extended beyond data analysis, as we actively engaged with local communities, researchers and policymakers through a range of outreach initiatives, including the development of a web application to visualize model results. Our findings underscore the substantial influence of monsoon-driven currents on surface plastic concentrations, highlighting the seasonal variation in the risk to different regional seas. This study adds to the evidence provided by coarser resolution regional ocean modelling studies, emphasizing that seasonality is a key driver of plastic pollution within the Indonesian archipelago. Inclusive international collaboration and a community-oriented approach were integral to our project, and we recommend that future initiatives similarly engage researchers, local communities and decision-makers in marine litter modelling results. This study aims to support the application of model results in solutions to the marine litter problem.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press

Impact statement

Computer models, including those that simulate physical ocean conditions and track pieces of plastic pollution throughout the environment, often require specialist skills to operate or are hidden behind proprietary software. Ocean models can provide long-term and comprehensive estimates reducing the need to rely on expensive, resource-intensive and irregular in-person monitoring. Indonesia, which is both a high emitter of plastic pollution and particularly vulnerable to non-domestic sources of marine litter as an archipelagic state, requires a cross-discipline and cross-sector approach if sources and impacts are to be addressed efficiently. Considering these synergies, this study has modelled surface microplastic transport around Sulawesi Island in central Indonesia across the monsoon-driven wet and dry seasons. We have also demonstrated a replicable framework and methodology to engage interested parties in the results of marine litter modelling. Through a combination of outreach and engagement activities, the impact and relationships of this study has far surpassed its initial funding duration – as evidenced by the continued use and engagement in its outputs. Not only does this study build upon evidence that plastic concentrations in the region are highly influenced by seasonality but also provide recommendations on funding structures, project development and international collaboration to create more impactful, inclusive and symbiotic research.

Introduction

The issue of plastic debris in the Indonesian seas is a complex and multifaceted problem. It transcends national boundaries, originating from both local waste mismanagement and neighbouring countries (Purba et al., Reference Purba, Faizal, Cordova, Abimanyu, Afandi, Indriawan and Khan2021), and is influenced by intricate ocean circulation patterns within Southeast Asia (van Calcar and van Emmerik, Reference van Calcar and van Emmerik2019). These circulation patterns vary seasonally and interannually and are susceptible to more pronounced shifts as a result of climate change, which in turn will modify the distribution of the debris and may destabilize already vulnerable ecosystems (Browne et al., Reference Browne, Chapman, Thompson, Amaral Zettler, Jambeck and Mallos2015; Ford et al., Reference Ford, Jones, Davies, Godley, Jambeck, Napper, Suckling, Williams, Woodall and Koldewey2022; Lincoln et al., Reference Lincoln, Andrews, Birchenough, Chowdhury, Engelhard, Harrod, Pinnegar and Townhill2022). Addressing such a complex issue necessitates a coordinated approach between communities, researchers and policymakers. As a result, Indonesia has taken the lead by becoming the first national government to develop a formal National Action Plan (NAP) aimed at reducing marine plastic debris by 70% by 2025 and to 0% by 2040 (Purba et al., Reference Purba, Handyman, Pribadi, Syakti, Pranowo, Harvey and Ihsan2019). This NAP relies on inter-agency cooperation, science-based management and the combined efforts of society. However, the lack of comprehensive data on the amount and distribution of marine plastic debris poses challenges to understanding and implementing effective mitigation strategies (Vriend et al., Reference Vriend, Hidayat, van Leeuwen, Cordova, Purba, Löhr, Faizal, Ningsih, Agustina, Husrin and Suryono2021) and ultimately calls into question whether these ambitious targets are realistic, especially given the ever-shortening time frame.

Ocean modelling and particle tracking modelling have been widely used to simulate plastic dispersal across space and time including throughout Indonesia, identifying the Java and Banda seas as particularly vulnerable to plastic exported from local rivers (Dobler et al., Reference Dobler, Maes, Martinez, Rahmania, Gautama, Farhan and Dounias2022; Iskandar et al., Reference Iskandar, Cordova and Park2022). Although the outputs of these tools are of great interest to the public, they often require high levels of computer literacy and understanding, limiting the involvement of various interested parties in their application. Indonesia has previously been known as one of the regions where levels of mismanaged plastic waste are among the highest in the world (Jambeck et al., Reference Jambeck, Geyer, Wilcox, Siegler, Perryman, Andrady, Narayan and Law2015). While this point remains contested due to the lack of in situ data, the management of marine plastic debris and the need for accessible methodologies and data sharing remain crucial to address this challenge. Furthermore, previous studies in the region have often neglected the importance of open access data and methodologies (open access is defined as the free access to information and unrestricted use of electronic resources for everyone, UNESCO, 2024), which hinders the establishment of a lasting knowledge sharing legacy. To address these gaps, this study brought together research teams from the United Kingdom (UK) and Indonesia to share methodologies to quantify marine plastic debris in Indonesia and develop a collaborative platform for disseminating results and engaging communities and stakeholders. Focussing on Sulawesi Island, Indonesia, at the core of this study is a novel web-based visualization platform that empowers non-scientists to visualize, explore and comprehend the pathways of plastic debris from coastal sources to both coastal and offshore sinks.

The overarching goal of this study was to coordinate research efforts and raise awareness about the current and potential future source–sink pathways of marine plastic debris in the Sulawesi Island region of Indonesia. To achieve this, we employed a combination of ocean and particle tracking models, developed a user-friendly web-based visualization platform, conducted outreach activities targeting schools and communities (specifically in Selayar Island, South Sulawesi (see Figure 1) and fostered collaborative relationships between researchers from the UK and Indonesia. In this article, we present a framework and methodology that actively engages stakeholders and enables their participation in understanding and using ocean modelling results for effective management of marine debris, which can be transferred to other regions globally.

Figure 1. Map of Sulawesi Island, Indonesia. Black triangles represent particle release locations which correspond to large rivers in the region. Regional and seasonal surface currents are mapped with solid and dashed lines arrows, respectively.

Study site

Situated in the northern Flores Sea, Selayar Islands Regency is a part of Sulawesi Island located in South Sulawesi province (Figure 1). The island is situated to the west of Taka Bonerate National Marine Park and UNESCO Biosphere Reserve, surrounded by a diverse marine ecosystem, serving as a habitat for various marine species, including coral reefs, seagrass beds and mangrove forests. Despite its protected status, it has a growing record of plastic marine debris (Hermawan et al., Reference Hermawan, Damar and Hariyadi2017). Moreover, Selayar Island has a strong connection to local communities that rely on the marine environment for their sustenance and economic activities, including fishing and tourism (Ferse et al., Reference Ferse, Knittweis, Krause, Maddusila and Glaser2012; Hakim et al., Reference Hakim, Soemarno and Hong2012). This geography was selected based on previous work undertaken by Aquatera and the Centre for Sustainable Energy and Resources Management (https://cserm.unas.ac.id/profile/). Engaging with communities allows for a better understanding of their perspectives, the challenges and any potential solutions related to marine plastic debris (Bracic, Reference Bracic2018). The island’s ecological importance, exposure to plastic pollution and climate-related challenges, and the involvement of local communities make it an ideal location to conduct research and implement targeted interventions aimed at mitigating these environmental issues.

The physical oceanography of the surrounding sea of Indonesia plays a crucial role in shaping the transport and distribution of marine plastic debris. Differences in temperature between the ocean and region’s landmasses drive the monsoon system, which is characterized by distinct wet (northeast (NE) monsoon) and dry (southwest (SW) monsoon) seasons (Schott et al., Reference Schott, Xie and McCreary2009). During the wet monsoon season (December through April), the region receives heavy rainfall and experiences strong winds, resulting in increased freshwater run-off from rivers and enhanced ocean currents, which flow predominantly towards the east. This period is associated with higher river discharge, which can carry significant amounts of land-based debris, including plastic, into the marine environment (Kurniawan and Imron, Reference Kurniawan and Imron2019). In contrast, the dry monsoon season (June through October) is characterized by reduced rainfall and weaker winds. During this period, ocean currents are reversed compared to ocean currents in the wet season and flow predominantly towards the west.

The surrounding oceanography connects Sulawesi Island to other regions of the archipelago due to the Indonesian Throughflow, which is the strongest during the SW monsoon (Sprintall et al., Reference Sprintall, Wijffels, Molcard and Jaya2009), and other regional surface currents (Figure 1). These seasonal variations in precipitation, wind patterns and ocean currents influence the input and transport of marine plastic debris in the surrounding sea (Cordova and Nurhati, Reference Cordova and Nurhati2019). Understanding the influence of the monsoon on the physical oceanography of the study site is vital for comprehending the dynamics of plastic debris (Pattiaratchi et al., Reference Pattiaratchi, van der Mheen, Schlundt, Narayanaswamy, Sura, Hajbane, White, Kumar, Fernandes and Wijeratne2022). Furthermore, the influence of the monsoon on the coastal morphology, sediment transport and water quality can contribute to the distribution and retention of plastic debris in the nearshore and offshore areas (VishnuRadhan et al., Reference VishnuRadhan, Sagayadoss, Seelan, Vethamony, Shirodkar, Zainudin and Shirodkar2015; Clift, Reference Clift2020). Oceanic scale particle tracking studies have illustrated that the monsoon’s reversing currents transport buoyant plastic between eastern and western regions of the Indian Ocean (Van Der Mheen et al., Reference Van Der Mheen, Van Sebille and Pattiaratchi2020). However, knowledge on how plastic debris is transported within the Indonesian archipelago is still limited.

Methods

Project conception and development

A workshop titled “Addressing Marine Plastic Waste as a Climate Change Adaptation Priority”, funded by the Newton Fund British Council and facilitated by Aquatera, was conducted from 31 August to 2 September 2021. Aquatera’s ABCG (Academia-Business-Community-Government) partnership model is a key component in these processes. The premise that delivery shared between these sectors is a fundamental basis for this research. The workshop brought together academic and industry partners from the UK and Indonesia to assess the compounding impacts of climate change and marine plastic pollution in Indonesia. Participants engaged in presentations and discussions of these issues from academic, business, industry and governmental perspectives. Following the workshop, this study was formed involving international and transdisciplinary teams, focussing on the complex issue of the distribution of marine plastic litter in and around Indonesia. The study was structured into three work packages: (1) a particle tracking study and web-based visualization platform, (2) local school outreach activities, and (3) an academic knowledge exchange workshop.

Plastic dispersal modelling and interactive web-based application development

Existing hydrodynamic model outputs for Indonesia were used to conduct a Lagrangian particle tracking study in the region surrounding Sulawesi Island. The modelling exercise was designed to simulate the present-day pathways of marine plastic debris from the source to sink. Hydrodynamic data covering 1 year (November 2020–October 2021) was obtained from the HYCOM GOFS 3.1 Analysis model, with a spatial resolution of 1/12° and a temporal output resolution of 3 hours (https://www.hycom.org/dataserver/gofs-3pt1/analysis). This model is the US Navy’s operational global ocean nowcast/forecast system including three-dimensional ocean temperature, salinity, and current structure, surface mixed layer depth, and the location of mesoscale features. For further information on the model set-up and application, see Cummings and Smedstad (Reference Cummings, Smedstad, Park and Xu2013) and Metzger et al. (Reference Metzger, Smedstad, Thoppil, Hurlburt, Cummings, Wallcraft, Zamudio, Franklin, Posey, Phelps and Hogan2014). The eastward and northward water velocities within our selected domain (longitude: between 93° and 141°, latitude: between -14° and 10°) were downloaded from the HYCOM server, and these velocities served as the hydrodynamic basis for the particle tracking simulations. These simulations were performed using the open-source Parcels model (Delandmeter and van Sebille, Reference Delandmeter and van Sebille2019). Two-dimensional (ocean surface layer) dispersal simulations were configured to release 80 virtual particles, representing neutrally buoyant plastic, from each of the 13 discrete locations representing major rivers mouths across the Sulawesi Island (Figure 1). These were released at 24-hour intervals over a span of 3 months (totalling 94,640 particles), run for both the wet and dry seasons. The two 90-day simulations represent surface ocean transport of plastic debris from coastal sources. We find this assumption to be acceptable as microplastic residence times in the surface ocean are estimated to be approximately 2.4 years (Weiss et al., Reference Weiss, Ludwig, Heussner, Canals, Ghiglione, Estournel, Constant and Kerhervé2021). Particles were ‘deleted’ once they hit or exceeded the model boundary, and thus assumed they did not return into the domain.

School outreach activities

The school outreach activities aimed to raise and assess the awareness of plastic debris and climate change in Indonesia. Activities were conducted over 3 days in the Benteng Region, Selayar Island, for 10-20 in-person university students from Bandung and 20-30 remote students and researchers from across Indonesia in January 2022. These activities were attended by a total of 43-45 students and 18 teachers from six secondary schools around the capital, Benteng, alongside other participants from local NGOs (Selayar Bebas Sampah Plastik, SBSP) and local government (Environment Department). These activities were covered by a local TV channel, LTTV, thus reaching a wide audience.

Academic knowledge exchange workshop

The academic knowledge exchange workshop was designed to connect researchers from the UK and Indonesia with a shared interest in simulating marine debris pathways, and to share methodology from the particle tracking modelling used here. We aimed to introduce and demonstrate the functionality of a numerical modelling tool for marine debris pollution examples to Indonesian university students and researchers through facilitating a three-day ‘hybrid’ workshop, conducted in person in Bandung, West Java (January 2022). The session was also available to researchers throughout Indonesia with interest in simulating marine litter dispersal in the marine environment.

This workshop, led and facilitated by Indonesia- and UK-based researchers, introduced the fundamentals of ocean modelling (day 1) and then programming and particle tracking fundamentals (day 2). Following short demonstrations, students used these methods to apply to their own small research projects. All data and modelling tools were open access, and the workshop tutorials remain free to view online to maintain a positive project legacy (https://bit.ly/marineplasticseminar).

Results

Particle tracking study and web-based visualization platform

The particle tracking study was conducted to demonstrate the dispersal of marine litter in surface waters around Sulawesi Island and the impact of seasonality on this dispersal. During the wet season (November to March), the particles released tended to be transported eastwards of Sulawesi Island, ultimately concentrating in Ceram and Banda seas (Figure 2a). Conversely, in the dry season (April to October), the particles exhibited a wider distribution, spanning a larger area, with a notable proportion of particles accumulating to the west in the Java Sea (Figure 2c). Particles in the dry season had a longitudinal range of 47.9° compared to particles in the wet season with a range of just 24.2°. Notably, both seasons’ particle releases resulted in high concentrations of plastic around the coast of Sulawesi Island, with over 30% of particles released concentrating around the northern coast of Sulawesi during the dry season (Figure 2d). No particles were simulated dispersing north or northeast into the South China Sea. There was a relatively limited dispersion of particles beyond the Indonesian regional seas throughout the three-month simulations. A total of 4720 particles, representing 2.5% of total particles released during both simulations, exited the domain.

Figure 2. Particle locations following a 90-day simulation. Exact particle locations during the wet and dry season can be seen in panels (a) and (c) respectively. Relative particle concentrations (separated into a 2x2 degree grid) for the wet and dry season can be seen in panels (b) and (d) respectively.

Following the simulations, we created an open-access interactive visualization tool (“app”) for non-modelers to explore simulated pathways of marine plastic debris around Sulawesi Island and to compare the present coastline of Selayar Island against an approximated future coastline given 0.9 meters of sea level rise (Figure 3). The user is greeted with a “Welcome” page describing the project and then is guided through simulation parameter selection, including one of thirteen river mouth particle release sources, season and days since release. For the data back end, we converted raw simulation matrices of shape ‘i’ sites by ‘j’ positions into “long” dataframes, where each row was a single latitude and longitude observation of a given particle at a given time step. We further divided the data into separate files by release source and dry season; upon user selection, the app loads only the appropriate file for animation to save memory. To improve app performance, we down-sampled data spatially (included one in eighty particle replicates) and temporally (reduced time steps from hourly to every two hours). The app is written in the R programming language (R Core Team, 2021), based on the open-source R Shiny application framework (Chang et al., Reference Chang, Joe Cheng, Xie and McPherson2023), and presents interactive animated maps using an R wrapper for the Leaflet Javascript library (Cheng et al., Reference Cheng, Karambelkar and Xie2022). The app is hosted on a Shiny server and is accessible via https://rstudio.bangor.ac.uk/shiny/microplastics-indonesia/. Code for the application is accessible on GitHub at: https://github.com/nwgiebink/microplastics-indonesia/tree/main.

Figure 3. Representative screenshot of the online visualisation platform to communicate the results of the particle tracking simulations. Blue scatter plots represent individual plastic particles.

School outreach activities

The first day commenced with a questionnaire to determine attendees’ existing knowledge of marine plastic and its impacts, followed by an information session on marine plastic and climate change including how to use GPS and safely collect litter. Average scores of two initial questionnaires on the topics of marine/coastal litter and climate change were 50.16% and 51.56%, respectively, allowing for activity facilitators to assess pre-existing knowledge and engage participants on these topics effectively. On the second day, the participants conducted a beach clean including collecting, sorting and identifying plastic litter. The third day involved ‘plogging’, the combined activity of plastic litter picking while jogging along the coast, to continue to raise awareness and expand participants to include members of the general public (see local news coverage at: https://bit.ly/LTTVselayar).

Academic knowledge exchange workshop

There were 12 in-person Academic Knowledge Exchange Workshop participants and 20 online participants. The participants included undergraduate/postgraduate students, lecturers from several universities around Indonesia, and researchers and professionals. By the end of the workshop, 95% of the participants indicated that they had already benefitted from attending the workshop and 96% of participants indicated that the lesson material was ‘good’ or ‘very good’ (Figure 4).

Figure 4. Feedback from participants during the academic knowledge exchange workshop. Questions were (a) What was the quality of the lesson material? (b) What is your understanding of the lesson at the end of the workshop? (c) How satisfied were you with the organising committee during the activity? (d) Has the workshop benefitted you? The scale for subplots a,b and c range from completely disagree/very bad (1) to completely agree/very good (5).

To ensure that the benefits of this workshop extended beyond the immediate audience, the workshop was recorded and subsequently made freely available on YouTube (which now has over 1400 views at the time of writing). This decision not only allowed the original participants to revisit and reinforce the presented material but also opened the door for a wider audience to access and engage with marine litter transport modelling.

Discussion

The main objective of this study was to create accessible tools and share knowledge on how ocean models can play a role in engaging diverse audiences on the issue of marine litter with an aim to increase awareness around this complex issue. From project conception to dissemination of results, we prioritized inclusivity and open-access science through communicating advanced modern methods and engaging new audiences. As a result, we successfully demonstrated that surface-level plastic pollution concentrations around Sulawesi Island were strongly influenced by seasonal current direction related to the monsoon season. Irrespective of season, simulated plastic concentrations remained high around coastal areas of Sulawesi Island, with the dry season experiencing a greater longitudinal spread of particles. The results also indicated the impact of marine litter released from Sulawesi Island on individual regional seas differs between seasons, with a greater amount of litter within the Java Seas during the dry season, and the Banda and Ceram seas during the wet season after six months of dispersal. These results, which highlight the important influence of the monsoon currents, agree with those of the study by Van Der Mheen et al. (Reference Van Der Mheen, Van Sebille and Pattiaratchi2020) and provide an important regional perspective to marine litter. While knowledge on this topic is growing, greater effort needs to be made to communicate this information to key local practitioners, policymakers and social organizers who can fast-track impact within their local communities.

The models in this study were intentionally kept straightforward and open access due to time limitations and the need to communicate the results clearly to all interested parties. Particle tracking simulations were kept two-dimensional as very few buoyant particles are expected to fall out of the surface layer within 6 months (Weiss et al., Reference Weiss, Ludwig, Heussner, Canals, Ghiglione, Estournel, Constant and Kerhervé2021), and beaching and aggregation behaviour were not parametrized. As concentrations around Sulawesi Island remained high, future studies, including higher-resolution ocean models, should look at the impact of beaching plastic on coastal environments and how this is also affected by varying monsoon currents and winds.

We shared the methods used through free and accessible workshops to enable local students and researchers to begin developing projects and answering research questions of local interest. To improve awareness and understanding of the issue of marine litter among local young people prior to higher education, we conducted fun and unusual outreach activities including community litter picks and ‘plogging’ in local schools the issue. The project and its outcomes received positive feedback from attendees both during and after the activities. Moreover, the project’s initiatives garnered a positive response from both local and international collaborators and participants during a virtual end-of-project meeting, which included project researchers, funding agencies and local government officials. All parties involved in the project expressed satisfaction with the outputs and acknowledged the lasting impact it had achieved. The project development and funding structure brought together multidisciplinary teams with expertise in particle tracking, modelling and visualization, alongside specialists in addressing marine litter issues within local communities, regional oceanography and the model domain. This framework served as a conduit for the exchange of modelling and coding knowledge among international institutions, fostering a two-way dialogue to establish best-practice methodologies for engaging communities in tackling the marine litter crisis. This study underscores the indispensable contributions of both the UK and Indonesia teams to the project’s success, demonstrating that innovative leadership and modern online collaboration tools can effectively minimize the environmental footprint associated with international travel. For future projects necessitating extensive international collaboration, a similar structure is recommended, ideally featuring shared formal leadership roles across participating countries.

To ensure continuous engagement with this important subject matter, the online visualization platform remains accessible and free of charge. This commitment helps to maintain open lines of communication surrounding the environmental issues addressed by the project. The project’s lasting impact is evident through regular emails received from individuals, particularly students, who have discovered the workshop and visualization tool online and now express their interest in using these valuable resources themselves. This study, along with its outreach efforts, was carried out over a 12-week funding period. The impact and use of the tools, examples and relationships established during this project have far surpassed the initial funding duration. We partly attribute this impact to our commitment to open-access science principles and our deliberate choice to employ accessible methodologies and data. Moving forward, we strongly recommend that funding bodies prioritize supporting international and cross-disciplinary teams that deliver accessible outputs. These principles have been proven to be socially, economically and academically successful (Tennant et al., Reference Tennant, Waldner, Jacques, Masuzzo, Collister and Hartgerink2016). This becomes increasingly important as plastic pollution cements itself as fundamentally linked to other issues like climate change, which require massive international collaboration if national and global emissions targets are to be met (Ford et al., Reference Ford, Jones, Davies, Godley, Jambeck, Napper, Suckling, Williams, Woodall and Koldewey2022).

This project was developed as a pilot study. Further work is required to communicate more comprehensive plastic pollution transport models (e.g. long timescales and higher spatial resolution) to relevant interested parties. These methods can communicate regional and local variability of plastic pollution as well as the impact of current and future waste management methods. Due to the short time frame, this study was unable to assess whether there was a long-term positive impact on the understanding of coastal pollution by activity and outreach participants. Future work using these methods should investigate how they can contribute to increased understanding and impact over longer timescales. Plastic transport studies also require greater analysis of how future environmental change may impact pollution transport, which would support just and efficient adaptation measures.

Conclusion

This study aimed to increase the awareness and knowledge of the complex issue of plastic debris in the Indonesia Seas. The project successfully used particle tracking models to simulate the pathways of marine plastic debris and to visualize the impact of seasonality on its dispersal around Sulawesi Island, Indonesia. Engaging local communities and schools in Selayar Island through outreach activities further contributed to raising the awareness and understanding of marine litter and environmental change. The web-based visualization platform developed as part of this project facilitates accessible viewing and comprehension of the particle tracking results, promoting inclusivity in addressing environmental issues. The project’s positive reception from diverse interested parties, both locally and internationally, highlights the significance of open-access science and collaborative efforts in tackling plastic pollution. To enhance future similar initiatives, it is essential for funding bodies to prioritize supporting international and cross-disciplinary teams, like the ABCG (Academia-Business-Community-Government) model, that can deliver accessible outputs, enabling comprehensive research on plastic pollution and its relationship to other environmental challenges. As this project was a pilot study conducted within a limited time frame, further efforts are required to communicate higher-resolution plastic pollution transport models in a similar manner and analyse the impact of environmental changes on pollution transport on a larger scale. Ultimately, building upon the lessons learned from this project and fostering a lasting knowledge sharing legacy will contribute to addressing regional marine litter issues more effectively in the future.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/plc.2024.15.

Acknowledgements

The authors would like to thank Keaton Wilson and Ade Fewings for their support in web app development and hosting. The authors would also like to thank initial workshop, knowledge exchange workshop and school outreach attendees for their enthusiastic and valuable contributions.

Author contributions

Conceptualization: all authors; particle tracking modelling: N.H.J. and S.L.W.; app development: N.G., S.L.W. and N.H.J.; outreach and workshops: N.P.P., M.B.P., I.F., N.H.J. and D.C.; writing – original draft: N.H.J., S.L.W. and D.C.; and Writing – review and editing: all authors.

Financial support

This research was supported by Aquatera and the British Council’s Newton Fund. NHJ was supported by an Envision Doctoral Training Programme scholarship funded by the National Environment Research Council (NERC, Grant Number: NE/S007423/1). PER was supported by the NERC SEAmap project: South East Asia MArine Plastics: Reduction, Control and Mitigation of Marine Plastic Pollution in the Philippines (Grant Number: NE/V009427/1).

Competing interest

The authors declare no competing interests exist.

Ethics statement

This work received ethical approval from the faculty of Fishery and Marine Science, Universitas Padjadjaran.

References

Bracic, A (2018) For better science: The benefits of community engagement in research. PS: Political Science & Politics 51(3), 550553.Google Scholar
Browne, M.A., Chapman, M.G., Thompson, R.C., Amaral Zettler, L.A., Jambeck, J. and Mallos, N.J. (2015) Spatial and temporal patterns of stranded intertidal marine debris: Is there a picture of global change? Environmental Science and Technology 49(12), 70827094.CrossRefGoogle Scholar
Chang, Winston, Joe Cheng, J. Allaire, Xie, Yihui, and McPherson, Jonathan. (2023) shiny: Web Application Framework for R. Available at: https://shiny.posit.co/ (accessed 22 September 2023).Google Scholar
Cheng, J, Karambelkar, B and Xie, Y (2022) leaflet: Create Interactive Web Maps with the JavaScript “Leaflet” Library. R package version 2.1.1. Available at: https://CRAN.R-project.org/package=leaflet (accessed: 22 September 2023).Google Scholar
Clift, PD (2020) Asian monsoon dynamics and sediment transport in SE Asia. Journal of Asian Earth Sciences 195, 104352. https://doi.org/10.1016/J.JSEAES.2020.104352CrossRefGoogle Scholar
Cordova, MR and Nurhati, IS (2019) Major sources and monthly variations in the release of land-derived marine debris from the greater Jakarta area, Indonesia. Scientific Reports 9(1), 18. https://doi.org/10.1038/s41598-019-55065-2.CrossRefGoogle ScholarPubMed
Cummings, JA and Smedstad, OM (2013) Variational data assimilation for the global ocean. In Park, SK and Xu, L (eds.), Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II). Heidelberg, New York, Dordrecht, London: Springer, pp. 303343. https://doi.org/10.1007/978-3-642-35088-7_13.Google Scholar
Delandmeter, P and van Sebille, E (2019) The parcels v2.0 Lagrangian framework: New field interpolation schemes. Geoscientific Model Development Discussions 12(8), 124. https://doi.org/10.5194/gmd-2018-339.Google Scholar
Dobler, D., Maes, C., Martinez, E., Rahmania, R., Gautama, B.G., Farhan, A.R. and Dounias, E. (2022) On the fate of floating marine debris carried to the sea through the Main Rivers of Indonesia. Journal of Marine Science and Engineering 10(8), 1009. https://doi.org/10.3390/JMSE10081009.Google Scholar
Ferse, S.C., Knittweis, L., Krause, G., Maddusila, A. and Glaser, M. (2012) Livelihoods of ornamental coral fishermen in South Sulawesi/Indonesia: Implications for management. Coastal Management 40(5), 525555. https://doi.org/10.1080/08920753.2012.694801.CrossRefGoogle Scholar
Ford, H.V., Jones, N.H., Davies, A.J., Godley, B.J., Jambeck, J.R., Napper, I.E., Suckling, C.C., Williams, G.J., Woodall, L.C. and Koldewey, H.J. (2022) The fundamental links between climate change and marine plastic pollution. Science of the Total Environment 806, 150392. https://doi.org/10.1016/j.scitotenv.2021.150392.CrossRefGoogle ScholarPubMed
Hakim, L, Soemarno, M and Hong, SK (2012) Challenges for conserving biodiversity and developing sustainable island tourism in North Sulawesi province, Indonesia. Journal of Ecology and Field Biology 35(2), 6171. https://doi.org/10.5141/JEFB.2012.017.Google Scholar
Hermawan, R, Damar, A and Hariyadi, S (2017) Daily accumulation and impacts of marine litter on the shores of Selayar Island coast, South Sulawesi. Waste Technology 5(1), 1520. https://doi.org/10.14710/5.1.15-20.Google Scholar
Iskandar, MR, Cordova, MR and Park, YG (2022) Pathways and destinations of floating marine plastic debris from 10 major rivers in Java and Bali, Indonesia: A Lagrangian particle tracking perspective. Marine Pollution Bulletin 185, 114331. https://doi.org/10.1016/J.MARPOLBUL.2022.114331.CrossRefGoogle Scholar
Jambeck, J.R., Geyer, R., Wilcox, C., Siegler, T.R., Perryman, M., Andrady, A., Narayan, R. and Law, K.L. (2015) Plastic waste inputs from land into the ocean. Science 347(6223), 768771. https://doi.org/10.1126/science.1260352.Google ScholarPubMed
Kurniawan, SB and Imron, MF (2019) Seasonal variation of plastic debris accumulation in the estuary of Wonorejo River, Surabaya, Indonesia. Environmental Technology \& Innovation 16, 100490. https://doi.org/10.1016/J.ETI.2019.100490.Google Scholar
Lincoln, S., Andrews, B., Birchenough, S.N., Chowdhury, P., Engelhard, G.H., Harrod, O., Pinnegar, J.K. and Townhill, B.L. (2022) Marine litter and climate change: Inextricably connected threats to the world’s oceans. Science of the Total Environment 837, 155709. https://doi.org/10.1016/J.SCITOTENV.2022.155709.Google Scholar
Metzger, E.J., Smedstad, O.M., Thoppil, P.G., Hurlburt, H.E., Cummings, J.A., Wallcraft, A.J., Zamudio, L., Franklin, D.S., Posey, P.G., Phelps, M.W. and Hogan, P.J. (2014) US navy operational global ocean and arctic ice prediction systems. Oceanography 27(3), 3243. https://doi.org/10.5670/OCEANOG.2014.66.CrossRefGoogle Scholar
Pattiaratchi, C., van der Mheen, M., Schlundt, C., Narayanaswamy, B.E., Sura, A., Hajbane, S., White, R., Kumar, N., Fernandes, M. and Wijeratne, S. (2022) Plastics in the Indian Ocean-sources, transport, distribution, and impacts. Ocean Science 18(1), 128 Available at: https://doi.org/10.5194/os-18-1-2022.Google Scholar
Purba, N.P., Handyman, D.I., Pribadi, T.D., Syakti, A.D., Pranowo, W.S., Harvey, A. and Ihsan, Y.N. (2019) Marine debris in Indonesia: A review of research and status. Marine Pollution Bulletin 146, 134144. Available at: https://doi.org/10.1016/j.marpolbul.2019.05.057.CrossRefGoogle Scholar
Purba, N.P., Faizal, I., Cordova, M.R., Abimanyu, A., Afandi, N.K., Indriawan, D. and Khan, A.M. (2021) Marine debris pathway across Indonesian boundary seas. Journal of Ecological Engineering 22(3), 8298. https://doi.org/10.12911/22998993/132428.CrossRefGoogle Scholar
R Core Team (2021) R: A language and environment for statistical computing. R Foundation for Statistical Computing. Available at: https://www.R-project.org/ (accessed 22 September 2023).Google Scholar
Schott, FA, Xie, SP and McCreary, JP (2009) Indian ocean circulation and climate variability. Reviews of Geophysics. Available at: https://doi.org/10.1029/2007RG000245.CrossRefGoogle Scholar
Sprintall, J., Wijffels, S.E., Molcard, R. and Jaya, I. (2009) Direct estimates of the Indonesian through flow entering the Indian ocean: 2004–2006. Journal of Geophysical Research: Oceans 114(7). https://doi.org/10.1029/2008JC005257.Google Scholar
Tennant, J.P., Waldner, F., Jacques, D.C., Masuzzo, P., Collister, L.B. and Hartgerink, C.H. (2016) The academic, economic and societal impacts of open access: An evidence-based review. F1000Research 5, 632. https://doi.org/10.12688/F1000RESEARCH.8460.3.CrossRefGoogle ScholarPubMed
UNESCO (2024) Open access, UNESCO.org. Available at: https://www.unesco.org/en/open-access (accessed: 07 April 2024).Google Scholar
van Calcar, CJ and van Emmerik, THM (2019) Abundance of plastic debris across European and Asian rivers. Environmental Research Letters 14(12), 124051.CrossRefGoogle Scholar
Van Der Mheen, M, Van Sebille, E and Pattiaratchi, C (2020) Beaching patterns of plastic debris along the Indian Ocean rim. Ocean Science 16(5). https://doi.org/10.5194/os-16-1317-2020.Google Scholar
VishnuRadhan, R., Sagayadoss, J., Seelan, E., Vethamony, P., Shirodkar, P., Zainudin, Z. and Shirodkar, S. (2015) Southwest monsoon influences the water quality and waste assimilative capacity in the Mandovi estuary (Goa state, India). Chemistry and Ecology 31(3), 217234.CrossRefGoogle Scholar
Vriend, P., Hidayat, H., van Leeuwen, J., Cordova, M.R., Purba, N.P., Löhr, A.J., Faizal, I., Ningsih, N.S., Agustina, K., Husrin, S. and Suryono, D.D. (2021) Plastic pollution research in Indonesia: State of science and future research directions to reduce impacts. Frontiers in Environmental Science 9, 692907. https://doi.org/10.3389/FENVS.2021.692907/BIBTEX.CrossRefGoogle Scholar
Weiss, L., Ludwig, W., Heussner, S., Canals, M., Ghiglione, J.F., Estournel, C., Constant, M. and Kerhervé, P. (2021) The missing ocean plastic sink: Gone with the rivers. Science 373(6550), 107111.Google ScholarPubMed
Figure 0

Figure 1. Map of Sulawesi Island, Indonesia. Black triangles represent particle release locations which correspond to large rivers in the region. Regional and seasonal surface currents are mapped with solid and dashed lines arrows, respectively.

Figure 1

Figure 2. Particle locations following a 90-day simulation. Exact particle locations during the wet and dry season can be seen in panels (a) and (c) respectively. Relative particle concentrations (separated into a 2x2 degree grid) for the wet and dry season can be seen in panels (b) and (d) respectively.

Figure 2

Figure 3. Representative screenshot of the online visualisation platform to communicate the results of the particle tracking simulations. Blue scatter plots represent individual plastic particles.

Figure 3

Figure 4. Feedback from participants during the academic knowledge exchange workshop. Questions were (a) What was the quality of the lesson material? (b) What is your understanding of the lesson at the end of the workshop? (c) How satisfied were you with the organising committee during the activity? (d) Has the workshop benefitted you? The scale for subplots a,b and c range from completely disagree/very bad (1) to completely agree/very good (5).

Author comment: Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization — R0/PR1

Comments

September 27th, 2023

Dear Editor,

We submit the manuscript entitled ‘Engaging Communities in Sulawesi Island, Indonesia: A Collaborative Approach to Modelling Marine Plastic Debris through Open Science and Online Visualization’ by Jones et al. for potential publication as an article in Cambridge Prisms: Plastics’ special issue ‘Innovative and Creative Solutions to Plastic Pollution’. All authors have approved the submission of these results, which have not been previously published.

In our study we use open data and methodologies including the HYCOM and Parcels models to simulate the dispersal of plastic throughout the coastal surface water of Central Indonesia during the southwest and northeast monsoons. Our research combines innovative cross-disciplinary working across academia, community, business, and government. We apply novel approaches to dissemination and visualisation of ocean modelling results to engage a wider audience of interested parties in marine debris modelling. Not only does this study build upon evidence that plastic concentrations in the region are highly influenced by seasonality but also provides recommendations on funding structures, project development and international collaboration to create more impactful, inclusive, and symbiotic research.

Due to its application to a collaborative solution to the marine litter problem, especially considering the Global Plastics Treaty, we believe these results and recommendations are of wider scientific and public interest and we hope you find it suitable to go out to review.

On behalf of all authors, sincerely,

Nia H. Jones

Corresponding author

School of Ocean Sciences

Bangor University

Askew St

Menai Bridge

LL59 5AB

Recommendation: Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization — R0/PR2

Comments

Line 106: The Indonesian NAP may be the first, but its target of reducing marine plastic debris by 70% by 2025 is widely recognised as unrealistic. Some comment on this might be prudent.

Line 120: There is much debate about the accuracy of the claim that Indonesia’s “levels of mismanaged plastic waste are among the highest in the world.” Please note that this point is contested.

Lines 122-124: It is stated that “Furthermore, previous studies in the region have often neglected the importance of open access to data and methodologies, which hinder the establishment of a lasting knowledge-sharing legacy.” Could you please explain what open access to data and methodologies means and why it is important? Please also explain what a knowledge-sharing legacy is in this context.

Line 157: Specify what CSERM and UNAS are please.

Lines 157-159: the statement “Engaging with communities allows for a better understanding of their perspectives, the challenges, and any potential solutions related to marine plastic debris” should be referenced.

Results section: The results do not include anything about the school outreach programme, yet this is a key part of the methods explained in the previous section. In general, the results section is rather limited in detail and richness. Were there quotations from workshop participants that could be included in the paper, or from the schools activities, for example? There was also no information about the pre-existing knowledge of plastic pollution and/or debris movement among participants. Could this be added to the paper to determine the change in capacity the project created?

Line 379-380: Plogging needs to be explained earlier in the paper. It also states that these methods were “conducted in local schools to improve awareness and understanding of the issue”. No results were presented about the effectiveness of the methods presented in this paper in improving the awareness and understanding of plastic pollution and its movement. Please clarify the basis of this assertion and if evidence was collected on the effectiveness of the engagement methods with school children, please can this be added to the results section.

Ethical approval: As this research involved human participants, including children, please confirm that relevant ethical approvals were sought and received prior to conducting it.

Decision: Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization — R0/PR3

Comments

No accompanying comment.

Author comment: Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization — R1/PR4

Comments

Nia Jones et al.

Engaging Communities in Sulawesi Island, Indonesia: A Collaborative Approach to Modelling Marine Plastic Debris through Open Science and Online Visualization

We’d like to start by thanking both reviewers for their constructive and helpful feedback and comments. We have addressed and responded to all comments, as detailed below.

Changes in the manuscript, based on these comments, are included in the tracked changes document. Small typos/corrections have all been corrected too.

Recommendation: Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization — R1/PR5

Comments

Thank you for responding so positively and quickly to the reviewer comments.

Decision: Engaging communities in Sulawesi Island, Indonesia: A collaborative approach to modelling marine plastic debris through open science and online visualization — R1/PR6

Comments

No accompanying comment.