The financing of productive alternatives and/or improvement of agricultural practices outside the Sanctuary for families with land inside the protected area has stimulated the liberation of areas that were used for cattle ranching; in this way, actions have focused on recovering the impacted zones. On the other hand, the management of technical and financial resources with public and private actors facilitates the development and long-term permanence of the restoration process, because in addition to the construction of the infrastructure and the operation of the nursery (technical equipment and supplies), planting, maintenance and care are also carried out.

Much of the restoration work carried out by PNNC is thanks to the participation and inter-institutional efforts of CAS, CORPOBOYACA, WWF Colombia, AGROSOLIDARIA Association, the National Army, the municipalities, private companies and other key actors, who have provided inputs, labor and infrastructure, mainly. Undoubtedly, the strategic alliances in favor of biodiversity conservation in the Sanctuary are key to continue with the arduous and important work that the area has been implementing with these key actors.

Satellite data forms the bedrock of the 3LD-Monitoring system, harnessing the capabilities of open-source imagery from the Copernicus Sentinel-2 and LANDSAT satellites. An algorithm, meticulously developed by Remote Sensing Solutions (RSS) GmbH, revolutionizes this process. Users can seamlessly submit the shapefile of their area of interest, prompting the algorithm to automatically fetch and analyze relevant data. A spectrum of robust analyses are conducted including the 5-year vegetation trend using NDVI for assessing vegetation gains or losses, 5-year vegetation moisture analysis through NDWI, and a nuanced 5-year rainfall trend evaluation. Additionally, the algorithm facilitates the visualization of vegetation changes since the inception of the project, bolstering the monitoring framework with dynamic insights. Satellite data, a vital component of the 3LDM-Monitoring system, leverages open-source imagery from the Copernicus Sentinel-2 mission and LANDSAT satellites. For predefined areas, this data is automatically fetched and analyzed for specific parameters. Key analyses include a 5-year vegetation trend using NDVI as a proxy for vegetation gains or losses, a 5-year vegetation moisture trend through NDWI, and a 5-year rainfall trend. In addition vegetation changes from project start can be visualized.

To strengthen Pakistan’s policies and legal frameworks in support of FLR and sustainable land management, TRI Pakistan has facilitated the development of forest management and landscape restoration frameworks for Chilgoza Forest Ecosystems in the four districts of Sherani, Chitral, South West, and Gilgit Baltisan with technical input and hosting and engaging in the consultation of stakeholders. While the Chilgoza Forest Multi-Function Management Plan for the Sherani District has been finalized and a draft for the South West Multi-Function Management Plan has been drafted, the plans for Chitral and Gilgit Baltisan are still under development. The plans are drafted by the respective district’s forest departments and work to address economic concerns, biodiversity conservation, and the key drivers of degradation. The plans are also built on the findings of the participatory ROAM assessments TRI Pakistan conducted, which included key stakeholders from all four project districts and identified restoration opportunities and priority interventions such as more efficient cooking stoves. Ultimately, these plans facilitate the implementation of FLR and sustainable land management at the local level as they are made with input from local stakeholders and outline management measures designed with their communities’ priorities in mind.

To increase CAR’s commitment to forest and landscape restoration at the national and subnational levels, TRI CAR is working to fill existing knowledge gaps in the valuation of ecosystem services and restoration opportunities. To do this, TRI CAR has contracted two graduate students with the Central African Agricultural Research Institute (ICRA) and the Higher Institute for Rural Development (ISDR) to carry out a valuation of ecosystem services. As the projects develop, the on-the-ground research will inform TRI CAR’s technical recommendations for the various policies being elaborated. Similarly, to help identify restoration opportunities, TRI has initiated the creation of a geospatial working group that will focus on finding restoration priority areas. This will also lay a base for TRI CAR’s policy input, as the team will pursue measures focused on the restoration opportunities identified in geospatial data analysis.

The objective of this building block is to provide the technical teams with the technical parameters to identify the sites where restoration should be carried out and the selection of effective actions for ecosystem recovery.

Zoning requires: 1) identification of areas for natural and assisted recovery, 2) areas for reforestation with native and endemic plants, and, 3) areas with potential for environmentally friendly productive activities.

The proposal for restoration actions includes: 1) the selection of activities to be implemented for each zoned area, 2) the estimation of resources needed to implement the restoration activities, 3) the distribution of responsibilities according to the competencies and resources available to the interested parties, and 4) the time required to implement actions taking into account the scope and resources available.

The objective of this building block is to provide livestock producers with the technical parameters to implement an optimal silvopastoral system, according to the characteristics of their productive unit and at the same time contributing to restore the ecosystem services of the site.

Good agricultural practices were implemented in three areas: 1) the animal and its management, which includes feeding, health and animal welfare; 2) environment and production, which includes soil, water and forage, as well as waste, manure and effluent management; and, 3) infrastructure for production, with facilities, equipment and tools for cleanliness and product safety.

This project, led by C Minds, the Secretariat of Sustainable Development of Yucatan (SDS), the community of the municipalities of Dzilam de Bravo and Dzilam Gonzalez in Yucatan, the International Union for Conservation of Nature (IUCN) and Huawei, in collaboration with the Polytechnic University of Yucatan (UPY) and Rainforest Connection (RFCx), and with the advice and feedback of biologists with expertise in feline conservation, combined the knowledge of different institutions and individuals to create an alliance with environmental and socioeconomic impact, both locally and regionally.

The technological infrastructure is composed of two cameras along the nearby trail to monitor visitor flows, and a panoramic camera in front of the nest, which were installed in October 2022. The cameras are powered by solar panels and also have integrated mics that detect noise disturbances. Two GPS transmitters, installed in December 2022, are used to track the behaviour of for the pair of eagles. Data transmission from the cameras is carried out through point-to-point microwave antennas via a separate Internet line. The information is stored on the NAS and on Huawei’s cloud. The GPS units include a small solar power plate, and the data is transferred via radio frequency to the Move Bank cloud.

The objective of this building block is to provide developers and implementers of ecosystem and landscape restoration projects with a tool that uses remote sensing and geospatial data to determine the current state of ecosystem services and the sites where specific restoration measures can be implemented.

The steps to execute it are as follows:

1. Preparation of baseline data: it forms a cartographic series that includes information on the project area, topography, climate, soil and forest cover.
2. Hydrological and soil analysis: results in the water erosion map and the water infiltration map of the project area.
3. Structural landscape analysis: results in the biological connectivity map of the project area.
4. Integrated landscape analysis: results in the ecosystem services index and its map in different territorial management units.
5. Generation of suitability indexes: results in 7 soil suitability maps to apply specific ecosystem and landscape restoration measures.

Following two funding calls, a total of 17 projects were selected. The projects represent a very wide range of different approaches and solution ideas for pursuing the Alliance's goals, depending on the respective context.

To increase the visibility of the projects and to foster knowledge exchange they are invited to present their ongoing work, intermediate goals and preliminary results to the Alliance community through posts on the website or at online events.