| Literature DB >> 35574849 |
Diva J Amon1,2, Randi D Rotjan3, Brian R C Kennedy3, Gerard Alleng4, Rafael Anta4, Eriatera Aram5, Thera Edwards6, Marcia Creary-Ford7, Kristina M Gjerde8, Judith Gobin9, Laura-Ashley Henderson9, Alexis Hope10, Raquel Khan Ali9, Sebastian Lanser11, Keith Lewis11, Hannah Lochan9, Scott MacLean11, Nabuti Mwemwenikarawa12, Brennan Phillips13, Betarim Rimon14, Stacey-Ann Sarjursingh15, Tooreka Teemari5, Aranteiti Tekiau5, Alan Turchik16, Henri Vallès17, Kareati Waysang18, Katherine L C Bell10,19.
Abstract
The deep ocean is the largest ecosystem on the planet, constituting greater than 90% of all habitable space. Over three-quarters of countries globally have deep ocean within their Exclusive Economic Zones. While maintaining deep-ocean function is key to ensuring planetary health, deficiencies in knowledge and governance, as well as inequitable global capacity, challenge our ability to safeguard the resilience of this vast realm, leaving the fate of the deep ocean in the hands of a few. Historically, deep-ocean scientific exploration and research have been the purview of a limited number of nations, resulting in most of humankind not knowing the deep ocean within their national jurisdiction or beyond. In this article, we highlight the inequities and need for increased deep-ocean knowledge generation, and discuss experiences in piloting an innovative project 'My Deep Sea, My Backyard' toward this goal. Recognizing that many deep-ocean endeavours take place in countries without deep-ocean access, this project aimed to reduce dependency on external expertise and promote local efforts in two small island developing states, Trinidad and Tobago and Kiribati, to explore their deep-sea backyards using comparatively low-cost technology while building lasting in-country capacity. We share lessons learned so future efforts can bring us closer to achieving this goal. This article is part of the theme issue 'Nurturing resilient marine ecosystems'.Entities:
Keywords: Kiribati; Trinidad and Tobago; capacity building; exploration; science; small island developing state
Mesh:
Year: 2022 PMID: 35574849 PMCID: PMC9108943 DOI: 10.1098/rstb.2021.0121
Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN: 0962-8436 Impact factor: 6.671
Figure 1The global distribution of deep ocean by country. EEZ data from the Maritime Boundaries Geodatabase (Flanders Marine Institute, 2019), 200 m contour shape file provided by Natural Earth (https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-bathymetry/).
Global summary of areas with deep ocean within national jurisdictions. ‘Geographical areas’ are defined as sovereign nations and territories with economies identified as developed, developing or small island developing states according to the UN M49 standard. Territories that do not have UN-classified economies are included with their sovereign nation. Data sources: (a) https://unstats.un.org/unsd/methodology/m49/#geo-regions; (b) Sea Around Us concepts, design and data (https://www.seaaroundus.org) [12].
| category | total deep-ocean area within national jurisdictions (km2) | % deep-ocean area of total deep ocean within national jurisdictions | total number of areas with deep ocean | % of total areas with deep ocean | |
|---|---|---|---|---|---|
| all geographical areas with deep ocean | — | 115 928 000 | 100 | 169 | 100 |
| UN economy classification | developed economies | 44 463 000 | 38 | 39 | 23 |
| developing economies | 37 953 000 | 33 | 81 | 48 | |
| small island developing states | 33 512 000 | 29 | 49 | 29 | |
| geographical region | Africa | 12 823 000 | 11 | 41 | 24 |
| Americas: Northern | 14 007 000 | 12 | 5 | 3 | |
| Americas: Latin & Caribbean | 18 149 000 | 16 | 43 | 25 | |
| Asia | 17 920 000 | 15 | 29 | 17 | |
| Europe | 16 664 000 | 14 | 25 | 15 | |
| Oceania | 36 366 000 | 31 | 26 | 15 |
Figure 2The distribution of ocean research capacity in geographical area with deep ocean. ‘Geographic areas’ are defined as sovereign nations and territories with economies identified as developed, developing, or small island developing states according to the UN M49 standard. Territories that do not have UN-classified economies are included with their sovereign nation. (a) Fifty-two geographical areas contributed to the Global Ocean Science Report 2020; of those, 47, both developing and developed, with deep ocean were surveyed. Geographical areas with economies in transition were not included in this figure as there were not enough data. (b) The average number of ocean science institutions per geographical area. (c) The average number of global, international and regional class research vessels (RVs) per geographical area. Local coastal (10–35 m in length) or smaller than 10 m vessels were not included as deep-ocean research typically requires larger vessels. (d) The average number of deep-submergence vehicles (submersibles, ROVs and/or AUVs) per geographical area. Data from the Global Ocean Science Report [11] and https://unstats.un.org/unsd/methodology/m49/#geo-regions.
Figure 3‘My Deep Sea, My Backyard’ in Kiribati. (a) Tarawa seafloor image captured by the ReelCam from approximately 800 m, with benthic ctenophores and soft sediment. (b) Government of Kiribati fisheries staff prepared the ReelCam for deployment. (c) The 2018 project team. (d) Kiribati school children see the deep ocean for the first time. (e) Deep-ocean ReelCam descending from the surface.
Figure 4‘My Deep Sea, My Backyard’ in Trinidad and Tobago. (a) The project team. (b) The National Geographic Deep-Sea Drop Camera. (c) Participants learning to deploy the National Geographic Deep-Sea Drop Camera at sea. (d) Participants learning to prepare the National Geographic Deep-Sea Drop Camera for deployment.
A critical assessment of ‘My Deep Sea, My Backyard’ (MDSMBY) in Kiribati and Trinidad and Tobago.
| MDSMBY goals | Kiribati process and outcomes | Trinidad and Tobago process and outcomes |
|---|---|---|
| collaborate equitably while working within the cultural norms and customs of each country and according to the needs, constraints, or interests of in-country partners | successes:
– had several i-Kiribati partners – worked within the maneaba system, the heart of Kiribati community – partnered several local and international organizations to co-develop outputs and execute the project | successes:
– co-led by a Trinidad and Tobago national – partnered with several local and international organizations to co-develop outputs and execute the project – a stakeholder consultation was undertaken to identify the needs, constraints and interests of the national community |
| challenges:
– there was not adequate funding/compensation for most individuals/organizations that were executing the project, both in-country and foreign | challenges:
– there was not adequate funding/compensation for most individuals/organizations that were executing the project, both in-country and foreign | |
| build lasting capacity evidenced by country nationals (ideally a scientist, student and communicator) exploring the ocean and then communicating the findings | successes:
– conducted classroom and in-field training – workshop participants ranged from early to senior career staff from the fisheries and environment ministries who are in positions to shape policy – Trident ROV continued to be used for scientific surveys – communication of findings was done bilingually, by and for country nationals both during the project and beyond – findings from this (and other) projects have become part of the overall outreach effort for the PIPA Implementation Office | successes:
– conducted classroom and in-field training – workshop participants included early and senior career researchers from Trinidad and Tobago, as well as Jamaica and Barbados – Trident ROV continued to be used for outreach |
| challenges:
– long-term support, financial, technical, educational, or otherwise, was not provided as this was only a pilot study – timeline chosen was unrealistic – metrics were not chosen to monitor and ensure effectiveness of capacity building – the loss of half of the ReelCam at sea has prohibited further use – not enough data were collected to enable training on species identification and data analysis, or to contextualize the implications of discoveries | challenges:
– long-term support, financial, technical, educational, or otherwise, was not provided as this was only a pilot study – timeline chosen was unrealistic – metrics were not chosen to monitor and ensure effectiveness of capacity building – not enough field training was provided – in Trinidad, deep ocean is >100 km from the major port, requiring specific vessels that were not easily available – no deep-ocean data were collected to enable training on species identification and data analysis, or to contextualize the implications of discoveries | |
| enable technology transfer via access to new, innovative, (comparatively) low-cost deep-ocean technology that can be used from any platform | successes:
– technology was comparatively low-cost (approx. $10 000 US) – technology was low-logistic and easy to use, enabling deployment from vessels available in-country – technology successfully captured mesophotic (Trident ROV) and deep-ocean (ReelCam) imagery in Tarawa, thus completing the first-ever deep-ocean explorations on that island and within the Gilbert Archipelago – technology was successfully used by country nationals from beginning to end, multiple times, thus building comfort and familiarity – technology will remain in-country permanently, enabling future use | successes:
– technology was comparatively low-cost (approx. $15 000 US) – the technology was applicable to the country's deep-ocean environment |
| challenges:
– Trident ROV software upgrades are difficult to download, given the limited internet bandwidth in-country – sustained funding not provided for fuel for a vessel to access deep water – repairs and replacement parts cannot be sourced in-country, so loss or damage necessitates long wait-times for replacement or repair | challenges:
– technology required repairs on several occasions, which could not be undertaken by in-country participants given complexity; this combined with other factors inhibited the successful use of the DropCam – repairs and replacement parts could not be sourced in-country, so loss or damage necessitated long wait-times for replacement or repair – technology was on loan; it did not remain in-country permanently, preventing use beyond the scope of the project – locating locally-available vessels was challenging given proximity to the deep ocean – not enough training in use of technology and working offshore was provided – use of the technology was not built into existing infrastructure or institutions | |
| engage a broad group of stakeholders in deep-sea exploration and science | successes:
– engaged with numerous stakeholder sectors, from government to elementary school children – the Trident ROV was a useful tool for outreach | successes:
– engaged with numerous stakeholder sectors, from government to elementary school children – the Trident ROV was a useful tool for outreach |
| challenges:
– one-time presentations are not sufficient to fully engage a national-level conversation – pathway for more meaningful engagement (e.g. by interested students) does not yet exist – metrics that measure and assess the learning from engagement were not used | challenges:
– a lack of results meant communication of findings did not occur – metrics that measure and assess the learning from engagement were not utilized |
Recommendations for undertaking deep-ocean capacity-building projects.
| leadership and management |
– project should be led or co-led, from design via implementation to output, by a national – use strategic partners, locally and internationally, to provide technology, training, and/or advice, although not to the detriment of the in-country partners |
| respect and recognition |
– work within cultural processes and norms of the community – understand local issues related to and priorities for deep-ocean exploration and research; there may be differences in the priorities of local versus foreign partners |
| technology |
– technology should be low-cost, recognizing that low-cost may have a different meaning for developing versus developed countries – technology should be easy to use and repair without requiring in-person foreign intervention – technology should require easy logistics i.e. be deployable from locally available vessels – technology should be applicable to the country's deep-ocean environment, e.g. have capabilities to answer the desired questions – technology should remain in-country indefinitely |
| training |
– training priorities should be co-developed with in-country partners – training priorities could include data collection, data processing and analysis, operations and logistics, expedition planning and execution, communications and storytelling – there is a need for formal metrics that measure and assess the long-term effectiveness of capacity-building measures in ocean science that goes beyond how many individuals were engaged |
| funding |
– sustained funding, including potentially from a public source |
| outreach |
– priorities for the engagement of stakeholders should be co-developed with in-country partners and commensurate with available resources, including with provisions for local languages – there is a need for formal metrics that measure and assess the learning due to outreach measures that goes beyond how many individuals were engaged |
| lasting capacity |
– priorities for building lasting capacity should be co-developed with in-country partners – in line with long-term priority outcomes, metrics should be chosen to monitor and ensure effectiveness of capacity building – commitments should be secured for long-term, multi-year support, financial or otherwise – realistic timelines should be chosen, recognizing that building lasting capacity requires multiple years |