To ensure sustainable conservation of the manual through methodological training of teachers in educational institutions in Kyrgyzstan CAMP Alatoo had the task to train multipliers to disseminate the manual through on-site trainings. In particular, this was an indicator for raising awareness in the project region. 

Teacher training on teaching sustainable development and biodiversity conservation in schools was conducted in Jalal-Abad. The event was organised for secondary school teachers, the Jalal-Abad Methodological Centre, representatives of the Arabaev KSU and the Republican Institute for Advanced Training and Retraining of Teachers. Two teacher training courses were conducted by trained teachers from Bishkek, J-A city and Bazar-Korgon district during the assignment. At the first training teachers learnt the ESD methodologies and practiced ESD manual exercises, while at the second training they were implementing a role of trainers. During the whole process they were supported and coached by CAMP Alatoo team and consultants. 

The outstanding trainers/teachers were selected as master trainers and are now supporting the project by training teachers in the project regions and outside the project area.

The schools in the pilot area of Jalal-Abad oblast tested the preliminary version of the environmental education manual. During the testing the quality of material presentation, the capacity of teachers and pupils to understand and absorb the new information was identified.

In addition to informational and educational content, project specialists from “CAMP Alatoo” PF and “Lesik Ug” association practiced practical exercises together with pupils in 6 schools. High school students performed tasks to understand different processes, such as climate change, as well as the functions of ecosystems and natural resources specific to Kyrgyzstan.

After the pilot testing, adjustments and modifications were made to the manual as exercises, at the same time the teaching methodology of the teaching material was studied.

A special feature of the training manual is that the material on pasture management, forestry and adaptation to climate change is based on the example of Kyrgyzstan, where teachers from Bishkek and Jalal-Abad have identified topics and offer a new methodology for teaching sustainability standards. 

In the frame of the project a teacher manual on Education for sustainable development and biodiversity had been developed.

The manual consists of the following 4 technical chapters each with elaborated exercises and teaching aids as well as one methodological pre-chapter:

1. Education for sustainable development
2. Forest
3. Pasture
4. Climate

The manual is designed to address gaps in the school curriculum with regard to teaching about the environment, using Kyrgyzstan as an example. "When it comes to teaching materials on the environment, they often do not address this area in relation to our country. For example, pasture and forest management systems in Kyrgyzstan.

Modern teaching methods and materials are often adapted to a European context and setting, making it hard to impossible to integrate them into a system that works differently. The ESD Manual offers Biology and Geography teachers additional teaching methods adapted to Kyrgyzystan that are in sync with the curricula. Teachers can use more interesting material to enhance their classes. Education is the basis towards a healthier planet, only by knowing how to act more sustainably, behavior can be adapted. 

The educational standards and the curriculum are showing access points for ESD, but they are not reflected in the school-books, because they are outdated.

Another weak link exists between the educational standards and the school curriculum on the one hand and the implementation through the teachers training institutions on the other hand.

• Integration of sustainable development and ESD approaches and principles in Kyrgyzstan is experiencing some difficulties due to low interest of the Ministry of Education. Today, most of the teaching staff is ready for this work, as evidenced by the results of numerous trainings conducted by the NGO "CAMP Alatoo".
• Low interest and capacity of specialists of educational institutions in the development of ESD standards and programmes;
• Lack of optimization of pedagogical workload (a teacher with a high workload is not able to prepare for classes and improve his/her professional skills).

An Adaptive Pathway Plan is a strategic framework designed to enhance resilience and adapt to long-term changes, particularly in the context of climate change. It involves identifying adaptation challenges and evaluating the effectiveness of various interventions over time. The key components include:

• Pathways Mapping: The plan illustrates sequences of measures or investments to achieve defined objectives, allowing for adjustments as conditions change.
• Thresholds and Tipping Points: The approach uses indicators to signal when a change in strategy is needed, ensuring flexibility in decision-making.
• Removal of Uncertainty: The uncertainty with using climate risk prediction models for decision making has led us to use Resilience instead, therefore removing uncertainty from the decision-making process.
• Stakeholder Engagement: Involvement of diverse stakeholders ensures that the pathways are context-sensitive and reflect local needs.

Kassandra is a predictive system, and it does so by creating ‘scenarios’ in which key parameters are altered individually or collectively and the variation of the Resilience Index is calculated. This is done iteratively until an optimum level is reached.

In addition, the scenarios can be of two types, passive and active. Passive scenarios are those where parameters external to the system are altered, for instance climatic data, whilst active scenarios simulate actual adaptations or management strategies, such as extensive tree planting.

The scenarios are not a forecast but plausible alternative images of how the future can unfold, or, as defined by the IPCC - Intergovernmental Panel on Climate Change.

In this stage Kassandra undertakes an analysis of resilience for all the entities within the Digital Twin based on twelve main Kassandra Parameters, hundreds of sub-parameters and thousands of relationships between these parameters. This highlights immediately areas where resilience might be lower and that might require urgent action.

Kassandra creates or builds upon a Digital Twin of the asset to be studied that uses analysis and simulation tools to take a long-term and whole-system view of an environment.

Kassandra is a platform designed to enhance climate change decision-making through the power of generative AI. It facilitates the acquisition and consolidation of data from various sources, such citizen engagement workshops, archive searches, surveys, or even IoT devices and urban applications, allowing for a comprehensive view of a city's environmental landscape.

• Data Acquisition: Kassandra collects diverse data related to climate, resource usage, and urban dynamics, acting as a central hub for this information,
• Data Transmission: The platform efficiently transmits this consolidated data to a virtual environment, making it accessible and easily understandable for decision-makers.
• Data Analysis: By integrating with advanced analytics tools, Kassandra supports real-time insights, enabling city planners to visualize trends and make informed decisions regarding resource management.
• Scalability: The platform’s seamless horizontal scaling allows for accommodating increasing data needs as cities grow and evolve.

The monitoring and evaluation (M&E) of the project is an ongoing process within Tsavo Trust (TT), with a dedicated M&E officer responsible for conducting these activities. The M&E officer collects data on various metrics such as crop harvest yields, reduction in human-elephant conflict (HEC), and other relevant ecological, social, and economic indicators to measure the project's impact. This systematic approach enables continuous assessment of the project’s effectiveness, identification of areas for improvement, and adaptation for long-term success. Data is regularly analyzed and incorporated into future planning and implementation to ensure the project's sustainability and alignment with its objectives.