Anti-poaching (AP) teams are hired and funded under Save Vietnam's Wildlife, and approved by protected area managers where they sign a joint contract between the two. They undergo approximately one month of training in Vietnamese forestry law, species identification, self-defense, field training, first aid, and using SMART. 

AP patrols stay with forest rangers for 15-20 days of patrolling at various ranger stations each month, and an assigned Data Manager typically processes, cleans, analyzes and reports SMART data for all patrols to the park director and SVW coordinators. At the beginning of each month, a SMART report is generated by the data manager; based on the intelligence from this report, a patrol plan will be discussed with the ranger and anti-poaching members, and then submitted to the protected area director for approval; mobile units are on standby and led by forest rangers to rapidly respond to any emergencies, locations outside of planned patrol areas, or situations accessible by road.

Rangers were trained to use SMART mobile through vertical knowledge transfer in the field, and by the end of 2020, 100% of the forest rangers (73 people) were all effectively using SMART, increasing patrol data coverage across the entire protected area (Figure 1).

From the conception of the PREDICT project through to today’s day-to-day laboratory management, partners working effectively across sectors has been an essential building block. The PREDICT project brought conservation and health nonprofits and Malaysian federal and local government departments together to collaborate on zoonotic disease surveillance. Over the last 10 years the WHGFL has been able to expand into new surveillance, genetic, and forensic research as capacity is built through open and productive collaboration. The Sabah Wildlife Department has scaled up their involvement increasing their funding for the WHGFL each year and leading the management committee. The management committee ensures the multiple projects utilizing the small laboratory are coordinated and organized, especially as new projects come on board and the scope of work expands.

Lack of awareness due to poor sensitization is often the main reason for little understanding of environmental issues. Sharing proper information supported by valid scientific/practical proof will convince communities that are unfortunately less educated, economically deprived and directly forest dependent. Equip them not only with true information but also with tools such as camera trapping, and support for species identification and naming. Such an approach will develop a sense of belonging and inculcate ownership of the cause/purpose.

Scientists are often criticised for their inability to communicate research expeditions and outcomes to public audiences, both in the nations where they operate and also internationally. Nekton was founded on the principle of bringing science and story-telling together to amplify host nation scientists as leading voices and ambassadors. During the expedition, the first descents were undertaken by Seychellois scientists. Through partnership with Seychellois media, content was produced, published and broadcast within Seychelles. In partnership with Associated Press and Sky, content from the expedition was published and broadcast in 140 countries globally including 18,000 articles (in print and digital) and over 4000 video broadcast packages. These included the first live subsea documentary series, newscasts and Presidential Address by the President of Seychelles, Danny Faure.

Historically, expeditions and science research have had a reputation of taking a top-down approach including through the practice of ‘parachute science’. This includes the desire to collect numerous and diverse samples and data that is then stored outside the reach of host-nation countries. This is often especially true for research in countries that are under-resourced and can be influenced by, and / or directed by, scientists from other nations that can have more resources. As part of the co-production philosophy, we wanted to ensure that the host-nation, Seychelles, had complete authority over the data and samples collected. Together with the Government of Seychelles, we co-drafted an array of agreements that ensured that both the samples and the data was fully owned by Seychelles.

Open dialogues with our main partner, the Government of Seychelles during every stage of the project ensured that changes and amendments could be easily made with their input. For example, field locations where easily amended as a result of bad weather, ensuring no time was wasted while at sea. Furthermore, a clear expectation of sample collection and updates during the expedition meant that Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) inspections could be made on arrival back into port, expediting the export permits, and thereby helping to facilitate the Government to fulfil their regulatory requirements.

It is not straight-forward to build trust. It can take time, skill, and resources, particularly finance and personnel. Nekton ensured that early engagement with the Government of Seychelles and Seychellois stakeholders began a year prior to the actual start of the Seychelles-Nekton field expedition. This allowed ample time to start building connections and relationships with the stakeholders and partners based in Seychelles. The Government of Seychelles gathered other locally based partners and stakeholders to build and frame a joint agenda of needs that would inform the research during the Seychelles-Nekton Expedition which took place in 2019. Co-production of the expedition included organising workshops to identify research locations, defining the pertinent research questions along with determining the stakeholders’ interest in leading specific projects.

To enable automatic and instant biodiversity impact assessment enquiry, the BiA tool has been developed to facilitate enquiry services for land planners and other interested parties via Azure platform. The BiA tool works by overlaying the enquiry site or region (or existing construction projects) with multiple geographic layers including species distribution and protected area range to investigate if the site or region is within certain distance (e.g., 3 km, 5 km) from and may cause impact on endangered species habitat and/or protected areas. The assessment reports illustrate ecological and environmental risks of construction projects for decision-makers and could hopefully promotes them to take biodiversity into consideration.

A brief timeline of the BiA tool:

• Apr-Jun 2020: team formation, requirement communication, system development plan
• Jul-Sept 2020: tool development
• Oct 2020: trial test, application and dissemination
• (in preparation) Apr-Sept 2022: system upgrade

During nature watch campaigns, citizen scientists are invited to observe and record wildlife timely, which not only strengthens the connection between citizens and nature but also serves as a promising species distribution data source. Species record data collected by citizen scientists via online questionnaire automatically flows into the visualization platform database (after data cleaning and manually periodically check) and turns into intuitive and attractive visualized charts and maps (two types: spatial, spatial and temporal) via Power BI. The platform, with both web and mobile version, provides real-time feedback to citizen scientists’ nature watch efforts, boosting their sense of accomplishment and motivating their future participation in nature watch activities. Moreover, since the platform integrates multiple nature watch campaigns with links to web articles about specific analysis of each campaign, it offers a broad range of biodiversity knowledge and enables “virtual nature watch” for citizens to get to know wildlife in other regions.

A brief timeline of the platform:

• Jan-Feb 2021: form team, analyze analysis, make blueprint
• Mar-Jun 2021: develop database and platform
• Jul-Aug 2021: trial test
• Sept 2021: go live and promotion

Thanks to the Restor.eco platform, we analyze the restoration potential of our reserve, monitoring changes over time with satellite images and geospatial data, thus knowing the local biodiversity and its characteristics, current and potential soil carbon, as well as other variables such as patterns of land cover, soil acidity, or annual precipitation, using machine learning, artificial intelligence, and scientific units of measure.