Core training materials

To support our upskilling objectives across different contexts, we have developed a core portfolio of training materials. These materials focus on teaching fundamental competencies and are organized into themed modules (e.g., wildlife protection, human-wildlife conflict). Depending on the local context, we select the most relevant modules and training topics. Our locally recruited mentors and trainers are then encouraged to adapt these materials based on their specific expertise and background.

  • Multiple years of programming have allowed us to refine and improve our training materials
  • Annual participant feedback helps guide the development of new topics 
  • Host institutions and local partners provide valuable input on the most relevant training needs
  • Asking local trainers develop their own materials often exceeds their time and capacity 
  • Using standardized materials ensures consistency and reduces variability in the type and depth of content delivered
Mentors, trainers, and allies

Our goal is that our core portfolio of standardized training materials are delivered by female experts recruited from the local region, who we further engage in mentoring and leadership activities. By centering these role models throughout our programming, we provide our participants with a vision of their future careers. We strive to foster an inclusive environment for honest dialogue and encourage ongoing mentorship even after the program concludes. However, the very gender gap we aim to address often presents a challenge when it comes to recruiting female educators and role models for our programs. This situation has helped us to differentiate three leadership roles: “mentors” (female role models, who participate in training and mentorship), “allies” (male trainers and facilitators), and “trainers” (support from international organizing team). Participation of each to these types of individuals is critical to develop and support our participants.

  • Keen interest from female leaders to foster the next generation of conservationists, including willingness to engage honestly in vulnerable conversations and provide career advice 
  • Growing interest from allies to support development of women in their field and organizations 
  • Funding to support attendance and honorarium for high-quality mentors and allies 
  • We have established a code of conduct and set clear expectations up-front on how mentors and allies should engage with students during and after the program 
  • Mentors and allies with a background in training as well as expertise in conservation tech are preferred 
  • Wherever possible, we seek a combination of mid-career and established mentors, who can speak to participants about different stages of the conservation career journey 
  • Male allies need to be carefully selected to create a supportive, safe environment 
  • We maintain and cultivate female-only spaces at the workshop where male allies and trainers are not allowed 
Local partners and host institutions

This program aims to equip women with practical skills that are actionable within their local context, enabling them to seize opportunities such as funding and career advancement within their specific regions. To achieve this, we collaborate closely with local partners and host institutions to adapt our core training materials, ensuring they align with local challenges, processes, and institutions. By tailoring our trainings to address the unique needs and contexts of the women we support, we maximize the relevance and impact of our programming. 

  • Local partners with aligned visions in education, upskilling, and empowerment 
  • On-the-ground support from women within the host and collaborating organizations 
  • Networks of experienced local educators and trainers in the conservation technology space  
  • Educational systems vary significantly, even across countries in the same region. For example, certain types of trainings or activities - such as active learning approaches - may be more difficult for students from countries where education is centered on rote memorization. Understanding local learning preferences and adapting teaching methods accordingly can support deeper engagement. 
  • Certain technologies or methodologies, such as drones or cloud-based data storage, may be prohibited or prohibitively expensive in some. Partnering with local conservation technology experts ensures that we focus on accessible, actionable technologies for our participants.
Partnerships for Local Impact

Strong partnerships with local NGOs and educational departments have been critical to the success of the Arribada Clubs. These partnerships enable the customization of the curriculum to reflect community-specific conservation priorities, such as sea turtle protection in Príncipe or biodiversity monitoring in Kenya. Collaborative planning ensures that the clubs address local needs and have a lasting impact.

Effective partnerships rely on mutual trust and shared goals. Local NGOs contribute expertise and contextual knowledge, while educational departments facilitate integration into schools. Recognition from awards, such as the Earth Ranger Tech Award, strengthens partnerships by validating the program’s impact.

Building and maintaining partnerships require clear communication and shared ownership of goals. Regular collaboration with partners helps align objectives and resources, ensuring the program remains relevant and impactful. A focus on long-term relationships fosters program sustainability and scalability.

Integration of Conservation Technology in STEM Curriculum

The Arribada Clubs integrate conservation technology into their STEM curriculum to teach students practical applications for environmental monitoring and problem-solving. Students learn GPS mapping, bioacoustic data analysis, microcomputer programming, and 3D printing to address conservation challenges. They design prototypes, analyze biodiversity data, and create digital libraries of natural specimens using 3D scanning, directly applying their learning to conservation efforts.

Reliable access to modern technology like 3D printers and GPS devices enables hands-on learning. Teacher training ensures effective curriculum delivery. Collaboration with conservation NGOs allows the integration of real-world conservation needs, making lessons immediately applicable and meaningful to the students’ local environment.

Maintaining technology and providing ongoing teacher support are crucial for program success. Encouraging students to work on community-relevant projects boosts engagement and demonstrates the real-world value of their education. Balancing technology use with foundational STEM principles ensures students build robust, transferable skills.

Community-Driven Conservation

The Arribada Club provides hands-on STEM education tailored to conservation needs. Delivered through after-school programs in underserved communities, the curriculum incorporates local conservation challenges into lessons, fostering a deep connection between students and their environment. Students gain practical experience with tools like GPS, microcomputers, and bioacoustic monitoring, learning how these technologies support biodiversity conservation. This education empowers local youth with technical skills essential for both personal and community growth while fostering future conservation leaders.

Key enabling factors include partnerships with local NGOs (e.g., Fundação Príncipe, Fundação Maio Biodiversidade, Ol Pejeta Conservancy) and alignment with educational departments. Access to affordable technology, such as laptops, microkits, and 3D printers, is critical. Support from donors like the Earth Ranger Tech Award has facilitated scaling and technology deployment, ensuring students have the tools to succeed.

Early involvement of local partners is vital for ensuring the curriculum reflects the community’s conservation priorities. Establishing a consistent funding source ensures the sustainability of clubs. Iterative feedback from students and teachers allows continuous curriculum improvement, enhancing relevance and impact.

Academic Communication

Project results were disseminated via an academic paper in Ocean-Land-Atmosphere Research (a Science Partten Journal) and shared in AAASScience WeChat Public (Official Media of American Association for the Advancement of Science in China). The findings were also included as a case study in the Yangtze River Delta Pilot Site and included in the support of major research projects on oceanography by the National Natural Science Foundation (NSFC).

 

  • Communicating challenges and solutions in academic and public platforms expanded the reach and impact of the project.
  • Results were systematically presented to stakeholders, increasing awareness and adoption potential.
  • Open dissemination enhances collaboration and knowledge-sharing across disciplines.
  • Publishing actionable insights in both academic and public domains accelerates the solution's adoption by conservationists worldwide.
Key Drivers of Vegetation Evolution

Drivers like marine environmental factors (e.g., salinity, wave height) and anthropogenic influences (e.g., aquaculture) were analyzed using a Generalized Additive Model (GAM) to explore their relationships with vegetation evolution.

  • Spartina alterniflora was influenced by marine factors (e.g., salinity and wave height).
  • Phragmites australis and Suaeda salsa were driven by rainfall, anthropogenic activities, and interspecific competition.

Understanding these factors supports better management of invasive species and promotes biodiversity conservation.

  • GAM effectively modeled non-linear relationships between vegetation data and drivers, ensuring robust analysis.
  • Integrating environmental and anthropogenic datasets enriched the accuracy of driver identification.
  • Continuous data supplementation and refinement of analytical models are necessary for long-term reliability.
  • Mechanistic exploration of drivers is essential for predictive and adaptive conservation strategies.
Spatial and Temporal Characteristics Analysis of Wetland Vegetation

Using spatial-temporal data, the long-term distribution characteristics of wetland vegetation were analyzed. The results of the study show the evolution of vegetation in the protected area both spatially and temporally. Figure 1A shows the spatiotemporal patterns of vegetation distribution from 1990 to 2022. Figure 1b shows the observed percent vegetation cover along the sea–land gradient from 1990 to 2022. Tools such as the landscape pattern index, migration modeling, and expansion/decline dynamics identified distinct trends:

  • Spartina alterniflora patches showed high aggregation and a decreasing trend.
  • Phragmites australis and Suaeda salsa patches displayed lower aggregation, higher fragmentation, and increasing trends.
  • Vegetation migration patterns revealed significant spatial and temporal heterogeneity, with vegetation distributed in bands along the terrestrial gradient.
  • Models such as center-of-mass migration and dynamism indices quantified vegetation movement and density changes.
  • Landscape pattern indices captured fragmentation and aggregation metrics.
  • Temporal and spatial heterogeneity of vegetation dynamics require multi-faceted analytical approaches.
  • Spatial analyses revealed critical ecological patterns, aiding targeted management strategies.
Data Quantification and Database Establishment

A comprehensive database was created, integrating remote sensing-derived vegetation cover with key environmental, climate, and human activity data. This includes metrics such as soil salinity, sea surface temperature, seawater salinity, and aquaculture pond locations, forming a robust foundation for further analyses.

  • Field verification ensured the accuracy of remote sensing interpretations (see Figures 1 and 2).
  • Database construction enabled integration of spatial data with environmental drivers, forming the foundation for robust ecological analyses.
  • Reliable field data are critical for validating remote sensing outputs.
  • A well-structured database improves analytical efficiency and supports multi-variable correlation studies.