This building block focused on recruiting and training a professional management team (initially the General Secretary and Accountant) for MBOMIPA WMA to enhance its operational efficiency. The team comprises individuals with expertise in conservation, financial management, and community engagement, ensuring a holistic approach to managing the WMA. Soon after recruitment, the onboarding commenced with the training sessions conducted on governance best practices, financial reporting using QuickBooks,  other resources such as human and assets management, and the application of conservation technologies like EarthRanger for real-time monitoring. These trainings equipped the management team to handle day-to-day operations, engage with stakeholders effectively, and ensure sustainable management of natural resources. The professional team was tasked with coordinating patrols, managing budgets, and improving the overall governance of the WMA.

MBOMIPA WMA engages communities in decision-making and alert systems.The community is responsible for electing the board members and engaging in making decisions on management of the WMA. The community is also responsible for providing information to VGS on elephant presence in their farms or when elephants have moved out from WMA, heading to the village land or farms. They normally contact VGS directly through phones, or report to the village chairperson so that he/she can report to the MBOMIPA HWC Response Unit. The Response Unit then responds towards local farmers' alerts. This has strengthened local participation in conservation efforts and fostered trust and shared responsibility between the WMA and local villagers.  

STEP and Honeyguide Foundation facilitated training at MBOMIPA WMA to equip Scouts and drivers with effective techniques for safeguarding community farms from elephant damage. The training equipped Scouts with knowledge on elephant behavior and how to use the HEC toolkit (torches, horns, chili crackers, and roman candles) to push elephants away from farms. Participants also learned techniques for safely relocating elephants based on their behavior and group composition (namely, whether they were all-male, all-female, or mixed groups). Refresher trainings have been regularly provided to the team to ensure safety.

The capacity-building program for the governance board involved providing training, workshops, peer visits, and supporting their meetings focused on the effective management of the WMA. It included the establishment of the first professional WMA management team, which comprised a general secretary and an accountant. This team underwent various coaching sessions and was equipped with management tools, office renovations, and essential working gear. As a result, the management team and board have successfully improved WMA operations by enhancing protection measures, managing HWC, and attracting investors. This model of capacity building can be adapted to other contexts to strengthen governance structures in similar conservation areas.

The allometric framework is a non-invasive tool designed to estimate the total body length of crocodilians based on the measurement of their head length, captured through high-resolution drone imagery. By leveraging established species-specific head-to-body length ratios, this method eliminates the need for physical capture or handling, reducing risks for both researchers and wildlife. Validated for 17 of the 27 crocodilian species, the framework allow to provides reliable demographic data essential for population monitoring and conservation management.

The framework uses easy-to-read tables (abaques), making it accessible to non-specialists, operators can quickly apply the method without requiring advanced scientific expertise.

Understanding the demographic structure is vital for wildlife research and conservation. For crocodylians, accurately estimating total length and demographic class usually necessitates close observation or capture, often of partially immersed individuals, leading to potential imprecision and risk. Drone technology offers a bias-free, safer alternative for classification. This study evaluated the effectiveness of drone photos combined with head length allometric relationships to estimate total length, and propose a standardized method for drone-based crocodylian demographic classification. 

This building block establishes standardized flight parameters for effective crocodilian monitoring

Our modular drones are designed for accessibility, adaptability, and sustainability. Initially crafted using wooden components with fewer than six screws and zip ties, they are simple to assemble, repair, and replicate using local materials, empowering communities to lead restoration projects independently.

As we’ve advanced, we’ve integrated hydrogen fuel cells and hybrid-electric propulsion systems, enhancing flight endurance, energy efficiency, and environmental sustainability. These innovations enable drones to cover larger areas and operate in remote environments while reducing their carbon footprint.

The modular design ensures flexibility for continuous adaptation, allowing communities to upgrade drones with tools like cameras or sensors for monitoring. This approach combines simplicity and cutting-edge innovation, bridging grassroots empowerment with scalable, impactful environmental restoration.

For many conservationists, including our participants, the knowledge to effectively use conservation technology is not enough without the funding to access the tools. Recognizing this barrier, we provide each participant with $500 USD in seed funding to help them implement their conservation solutions. Additionally, we offer training in grant writing, pitching, and engaging with funders to enhance their ability to secure future funding.

For our technical training, we prioritize activities that allow students to directly interact with conservation technology tools. By setting up and deploying tools in safe, low-pressure environments, students have the opportunity to make mistakes and learn from those experiences. For example, letting students decide where to place a camera trap based on a lesson, and then evaluating the effectiveness of their decision by reviewing the data collected, is highly valuable.