1. Multi-sectoral coordination for monitoring diseases at the wildlife-livestock interface

Building partnerships across the emergency management, animal health and environment/ wildlife sectors is an important first step for planning and implementation of wildlife surveillance to ensure results are used to guide science-based policy and disease control mechanisms. Convening multi-sectoral meetings to open discourse and share information on the challenges and opportunities to monitoring and management of disease at the wildlife-livestock interface, and to develop smooth communications and trust between and across sectors as well as multi-sectoral surveillance and response networks is critical.

 

Financial support for coordination meetings; openness of host government to coordination between environment/ wildlife and livestock health sectors; time and patience

Coordination and support from the government is essential from the beginning to ensure support for surveillance, understanding of what is being implemented and the goals/ outcomes, good coordination between sectors, engagement to build local capacity and export samples for testing where necessary, host government willingness to be open about diagnostic findings and motivation to amend disease control strategies based on findings. 

Defining priority and corrective actions to strengthen the intervention

During the implementation of the intervention, the project team conducted the self-assessment that helps determine whether an intervention is in adherence with the IUCN Global Standard for Nature-based Solutionsᵀᴹ. The assessment provided information about the intervention’s strengths and weaknesses and helped derive concrete recommendations and corrective actions for future interventions. Two criteria were deemed insufficient. Criterion 3 (biodiversity net-gain) fell short, because the analysis of the biodiversity benefits achieved through this intervention were largely based on a desk review of existing literature and information rather than a specific assessment, monitoring framework or thorough and collective effort with key informants and stakeholders. Criterion 6 (balancing of trade-offs) was also deemed insufficiently addressed. While there was a reported willingness from the Revolutionary Government of Zanzibar to consider relevant trade-offs, the limits of these trade-offs and associated safeguards were not clarified. In addition, while provisions on the rights, usage of and access to marine and coastal resources for mariculture are in place, further information on how this is applied in practice is required.

The assessment was supported by IUCN expert reviewers, who supported the team with the completion of the self-assessment and provided clarification on specific criteria and indicators. Several rounds of discussions revealed that the criteria were sometimes understood and interpreted differently by different people, impacting the assigned rating. This demonstrated the complexities associated with assessing whether an intervention can be considered a Nature-based Solution and the need for thorough and guided consideration of each indicator.

The IUCN Global Standard for Nature-based Solutionsᵀᴹ served as an important tool to reflect on  design, implementation and monitoring challenges related to aquaculture and seaweed farming approaches applied in the IUCN AquaCoCo Project. It provided insights into areas that require corrective action, the collection of additional evidence and means of verification and involvement of local stakeholders, in particular women. In this manner, the self-assessment results will inform future work on aquaculture and seaweed farming in Zanzibar (and elsewhere) and help improve intervention design, implementation and monitoring frameworks.

Developing a management plan

For the first ten years after protected area designation, the management authority was in place but operating without a management plan. They did not have the internal capacity or knowledge to develop a plan that addressed the requirements for management of a protected landscape. 

The management plan was developed to provide the objectives, activities and indicators for measuring the outcomes. The plan included a ten year program of activities, with opportunity for a review and amendments after five years. 

1. Funding

2. Engaged authorities and land managers, who can provide input

3. Skilled staff or consultants to develop plan

The most important part of developing a management plan was to find the balance between providing a plan to lift this burden from authorities, yet ensuring land managers and decision makers have input to ensure it is realistic and supported. 

In the case of Buna, there was initially not enough consultation or input from the authorities. The activity plan that aimed to lead to success proved unachievable with the capacity and resources available locally to implement. 

Systematic Camera Trapping

Camera trapping allows non-invasive surveys of wildlife throughout the protected area, providing new insights into hotspots of rare and threatened species, while also providing information on which locations contained the most species targeted by hunters. Systematic camera traps were set in either fine-grid (smaller areas with 1-2 km spacing in between stations), or course-grid (full protected area coverage with ~2.5 km spacing between stations) designs, with stations that contain 2 or more cameras spaced about 20 m from one another. Cameras trapping systems were left in the field for ~3 months for each sample session to meet the closure assumption; fine grid designs for two locations were repeated 2 years apart, the course grid is intended to be reproduced in 2023 (5 years apart). Systematic cameras were set and microhabitat data were collected at each station site following protocols from Abrams et al (2018). 

 

References

Abrams, J. F., Axtner, J., Bhagwat, T., Mohamed, A., Nguyen, A., Niedballa, J., ... & Wilting, A. (2018). Studying terrestrial mammals in tropical rainforests. A user guide for camera-trapping and environmental DNA. Berlin, Germany: Leibniz-IZW.

  • Donor funding to purchase camera traps, batteries, and other necessary equipment
  • Assistance by rangers and local people to set camera traps in the field
  • Capacity of researchers to properly classify, clean, analyze, and report data.
  • Due to the flash, it is easy for camera traps to be detected and damaged or stolen
  • Experienced personnel are needed to coordinate camera trap setting efforts to mitigate errors as much as possible. Common errors include:
    • date-time setting issues
    • vegetation not cleared from the immediate area of the camera traps causing thousands of blank photos to be triggered by leaves swaying in the wind and rapid loss of battery life, and eventually battery death within days of setting.
    • improper setting of camera traps facing toward one another instead of away, causing potential duplicate records
    • Forgetting to turn the cameras on
    • inconsistent microhabitat data collection by various teams
  • Pre-planning for camera trapping is essential to success and reducing errors, pre-planning should include all personnel involved, should be presented on mapped locations, should identify team leaders, and review protocols and checklists. 
  • Photos should be taken in 4 directions around the camera location. This way if mistakes are made in the field, they can be somewhat mitigated by evaluation of photos later on where possible.
PoacherCams

Our anti-poaching teams have improved the workflow of detecting and pre-emptively stopping offenders who illegally enter the protected forest areas by deploying PoacherCams -- automated detection systems that operate via camera traps and artificial intelligence classification of humans, animals, and vehicles (Figure 3). PoacherCams are strategically placed at entry points into protected forests adjacent to local villages and access trails. When the cameras detect a human entering the park at PoacherCam installation sites, the site manager will receive a notification on their Smartphone of the threat and location. The manager will then deploy a mobile unit (forest rangers) to survey the area or document the entry and exit activity of the offender over time and make an arrest. Our system also has a dashboard for record-keeping purposes and note taking which forestry law-enforcement can refer to later when issuing penalties and following up with their issuance with commune-level law enforcement. Through extensive patrolling efforts, we have identified numerous central access points from local villages into the protected forests and set PoacherCams to monitor them and take action where needed.

  • External funding from donors willing to improve site protection efforts in Vietnam protected and conserved areas via new technologies. It is difficult to get government buy-in for new equipment and technology with limited resources until proof of success is achieved.
  • Support by Panthera – both in providing us with cameras and technical with assistance setting them up on their server.
  • Support by Wildlife Protection Solutions with re-routing camera messages and images to their dashboard and sent to rangers as WhatsApp alerts
  • Cellular network connectivity
  • PoacherCams must be well hidden, or set high up in trees, or they will be damaged or stolen
  • Cellular network connection is required for the system to send alerts to ranger’s phones, and the weaker the cellular connection, the longer the message will take to be received. 
  • Sometimes, it is best to observe offenders entering and exiting the forest and record common times of entry/exit to then deploy a ranger to wait for them at the location, rather than deploy rangers immediately when alerts are received.
  • Some smart phones cannot communicate with the Camera Trap Wireless Client app required to set up the camera. The app should be tested before leaving to the field
  • the nPerf app may help to actively map cellular network connection strength in the field, and provide information on locations to optimize PoacherCam placement.
  • Local people are quickly habituated to ranger patrol patterns and have their own communication networks. When local people from the villages see a ranger going toward a trail where the village hunter entered the forest, they will call the hunter and tell him to take another trail so they will not be caught.
Spatial Reporting and Monitoring Tool (SMART)

The Spatial Monitoring and Reporting Tool (SMART) is a both a software and a framework that allows forest rangers and anti-poaching patrols to collect geospatial data on their smart phones (via the SMART mobile app), which acts as an advanced handheld GPS. When traps, illegal encampments, animals, or violators are located, the patrol will make a record using the app’s customized “data model” (a customization of the application that creates specific drop-down lists, and decision trees). The SVW data model is based on Vietnamese forestry law, so when any technical gaps are identified in the data model in terms of arrest procedures, non-standard violations, or priority species listed in legislative decrees, it can directly inform and improve policy.

 

Once data has been collected by patrols on their smart phones, the patrol data (paths walked, km travelled, time spent on patrol, and data recorded) will upload automatically to SMART desktop. This is where managers can evaluate poaching hotspots to apply pressure, and also allows them to monitor the effectiveness of the patrols themselves. With each new data input, data managers are able to adapt to the situation and adjust their team and patrolling regimens accordingly.

  • Cooperation of park managers enabling SVW anti-poaching team to operate in the park
  • Rangers willing to learn new technologies and agree with directional planning from younger, newer employees that have less experience and seniority in the protected area.
  • Intensive and effective training of anti-poaching teams and willingness of members to perform intensive work in the field collecting data and, in the office, managing and reporting the data outputs.
  • Functioning SMART software and available equipment (smart phones)
  • Data managers are vital to the success of intelligence reporting and planning, and should be separate from patrols so they can focus specifically on data management tasks alone. Rangers and team members often forget to turn off their track recorder during breaks, in transit, and after they finish working. As a result, data managers must clip and clean data to maintain reporting accuracy. 
  • At the learning phase, mistakes are common in the first year of data collection and processing, and are to be expected. It is best to identify the most common errors early on and address them with all participating patrols to ensure data viability moving forward.
  • SMART Connect is a solution to centralizing data collected from multiple ranger stations or sites. However, SMART Connect servers require expert technical assistance to set up and maintain. If they are set up through a third-party service, server issues rely on the third-party service technical support, and data sovereignty laws may prevent access to this option altogether.
Anti-poaching team

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).

  • Collaboration between NGO-based law enforcement assistants (the SVW anti-poaching team) and protected area managers and forest rangers
  • Willingness for forest rangers with senior status and position to take advice and adaptive direction from newly trained younger staff
  • Willingness for rangers and anti-poaching team members to adapt to new technologies and operational systems to achieve a shared goal.
  • We have learned through the patrol observations, local information, and data trends that there are primary periods of poaching activity in the park which correspond to bamboo/honey harvesting seasons and months proximal to Tet holiday (Lunar New Year), whereby locals have a high demand for wild meat as a special gift to family and friends.
  • When directly compared, joint patrols with rangers and anti-poaching team members were shown to be substantially more effective than ranger-only patrols in terms of illegal activity documented and mitigated. This is probably due to the effectiveness of SMART data collection (Figure 2).
  • Since anti-poaching members are not government employees like rangers, they do not have the power to make arrests, when necessary, therefore patrols with only anti-poaching members are only able to document but not mitigate active human threats to wildlife.
Partnerships & Collaboration

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.

A One Health approach was employed at every step, ensuring priorities of different sectors were heard and respected. Siloed sectors were brought together to meet a shared goal of conservation through zoonotic disease screenings that promoted human and wildlife health. By highlighting the interconnection of human, animal, and environmental health, collaboration, instead of competition, was emphasized and promoted. Wildlife disease screening results provided Sabah State Health Department with actionable data to inform risk mitigation policies at the state level.

Multiple partners were involved with the renovation of an empty building to create a laboratory meeting international biosafety and biosecurity standards, and while the initial investment was from outside sources, in recent years local leadership has taken on a larger role in management. The success of the PREDICT project demonstrated the importance of the laboratory to local and global research efforts, earning a larger investment, both financial and bandwidth-wise, from local leaders. This has allowed budding partnerships to further develop and deepen over time.

Sensitization, Capacity Building and Field Survey for Data Collection and Monitoring

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.

Realization of the need for a common cause at the local level with broader implications.

To make a connection with nature and the environment, our activities - wherever possible - are carried out in close association with nature. Seminars and other capacity building activities can be conducted in the jungle to create a real-time experience in nature and connect with its rich floral and faunal resources.

Joining Science and Communication

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.

  • Flexibility in planning daily activities
  • Mutual understanding of science and media needs and activities
  • Narratives owned by the host nation country
  • Partnerships with host nation and international media partners.
  • Pre-familiarisation of science and communication team is imperative to ensure an easy workflow
  • Science and Communication plans need to be co-produced together to identify and then create content that reflects these ambitions.