The Three Sisters Giant Caves are located in Fikirini Village, near Shimoni in Kenya’s coastal Kwale County, within a 10-hectare Kaya Forest of both ecological and cultural importance. Three caves serve as vital roosting sites for several bat species, including the Endangered Hildegarde’s tomb bat (Taphozous hildegardeae), while a fourth cave is reserved for community spiritual practices. Degradation from deforestation, fires, and unsustainable guano harvesting has threatened the site’s integrity. In response, the Tswaka Three Sisters Giant Caves Community-Based Organization (CBO), supported by Bat Conservation International (BCI) and local partners, initiated a community-led effort to restore habitats, enhance protection, and develop eco-tourism as an alternative livelihood pathway that links biodiversity conservation with local economic and cultural resilience. This activity was financed under the GIZ-led IKI Kwale – Tanga Transboundary protection and sustainable management of the marine and coastal regions project.

Firmiana major is an endemic species of China. It was declared extinct in the wild by the IUCN in 1998. Later, it was rediscovered in the Sichuan Panzhihua Cycad National Nature Reserve. However, the population size remains extremely small, natural regeneration is limited. The species faces several threats, including low seed plumpness, challenges in seed preservation, harsh habitat conditions in the dry-hot valley, and a lack of protective policies. Integrate field surveys, artificial propagation, in situ conservation, genetic diversity research, and policy advocacy. Core measures include sowing immediately after collection, habitat management. The wild population has increased nearly 400 individuals. More than 500 seedlings have been artificially cultivated. The species has been reclassified as a National Key Protected Wild Plant (Class II), assessed as Endangered (EN) by the IUCN, and its conservation efforts have been integrated into local ecological plans.

The Fisher Friend Mobile Application (FFMA) by MSSRF, in collaboration with Qualcomm and INCOIS, supports India’s coastal fishers with real-time data on sea conditions, fishing zones, navigation, and more, all in local languages. Recently, FFMA introduced a No Fishing Zone alert to protect endangered Olive Ridley Turtles along Odisha’s coast. Using geo-fencing, it marks critical turtle habitats—including the Gahirmatha Sanctuary and key river mouths—and triggers audio message and vibrating when fishers approach within 200 meters, even without internet. This offline feature helps fishers avoid fines and supports turtle conservation by preventing unintended fishing in restricted zones. Since its launch, the No Fishing Zone alert has prevented over 6,866 intrusions, aligning conservation with sustainable fishing and supporting fisher livelihoods and safety. FFMA’s technology ensures that fishers benefit from safer, eco-friendly practices while contributing to the preservation of biodiversity in India’s coastal zones

I. Background
The Yunnan snub-nosed monkey (Rhinopithecus roxellana) is a species that mainly occurs in the Yunling Mountains between the Jinsha and Lancang Rivers, with about 3,800 extant individuals. Yunnan Yunlong Tianchi National Nature Reserve, as its southernmost distribution site, is a key area for maintaining the survival space of the species. Historically, the population of Yunnan snub-nosed monkeys in the region has been reduced from four to two populations due to habitat fragmentation, human interference and habitat retreat.

II. Solution Application Approach
1. Standardized monitoring and technology upgrading. Standardize data collection norms: monitor the population 8 days a month, 12 hours a day, recording population size, behavioral rhythms, food habits, etc. to ensure data validity.
Upgrade equipment configuration: Equipped with GPS, infrared cameras, etc. to fill the gap of image records. 5 infrared cameras were installed in the Tianchi population area, successfully obtaining fecal samples and activity traces.
2. Expert team and long-term monitoring system. An inter-agency expert team was formed to solve the problem of insufficient expert guidance in the past.
3. Food resources and habitat management. Establishment of a food resource database: Record the 26 species of plants that the Longma Mountain population feeds on and the seasonal changes in food habits to provide a basis for habitat restoration. Habitat corridor restoration: Prioritize the protection of key vegetation types such as fir forests and Yunnan hemlock forests for the five habitat patches where Longma Mountain populations are active.
4. Man-made disturbance control and community participation. Quantify the types of disturbance: focus on monitoring high-frequency disturbance such as mushroom picking in summer, mark the location of disturbance, and set targeted no-entry periods. Community education: Promote residents’ awareness of conservation and reduce the impact of activities on the monkey population.
Core Challenges
1. Population growth bottleneck: the annual growth rate of Longmashan population has dropped from rapid growth before 2011 to a stable state after 2012, confirming that the habitat is close to the environmental capacity and the habitat quality needs to be optimized.
2. Fragmentation of monitoring data: after standardization, the rate of invalid data has dropped from 53% to a manageable range, and the Tianchi population has moved from “data gaps” to “confirmation of existence”.
3. Threat of man-made disturbance: the intensity of disturbance reached 4.23 in summer, and the seasonal control reduced the stress reaction of the monkey population.
4. Risk of survival of small populations: The survival of the Tianchi population was confirmed for the first time through the deployment of infrared cameras and feces analysis, which provided a basis for the construction of the corridor.
Positive Results
1. Stable population growth: the Longmarsaurus population increased from 127 in 2011 to 190 in 2024, a 49% increase, with a stable population structure, close to the environmental capacity but in dynamic equilibrium.

2. Behavioral and ecological adaptation research: clarify the daily activity rhythms and seasonal dietary changes of Yunnan snub-nosed monkeys, and provide scientific support for food resource management.

3. Synergistic effect between technology and community: standardized monitoring has improved the positioning accuracy of human interference, and community participation has reduced the frequency of interference in summer by 15% year-on-year in 2024, providing a replicable model for similar protected areas.

4. Breakthrough in the protection of small populations: The survival of the Tianchi population has been confirmed through fecal and trace monitoring, and as the southernmost population of the Yunnan snub-nosed monkey, it lays the foundation for the study of species distribution boundaries and habitat corridor planning.

Through the integrated strategy of “scientific monitoring-habitat restoration-community governance”, the program effectively mitigated the threats faced by the Yunnan snub-nosed monkeys, such as stagnant population growth, habitat fragmentation and human interference, and provided a closed-loop management paradigm of “monitoring-assessment-intervention” for the protection of the endangered species. This provides a “monitoring-assessment-intervention” paradigm for endangered species conservation.

Protected areas are faced with numerous ecological, social, and economic challenges both inside and outside their boundaries. Most of these challenges occur over vast spatial scales and are often magnified by a lack of resources to adequately monitor and respond to challenges. The ArcGIS Protected Area Solution (PAM) is an effective way to address these challenges holistically and at scale. PAM allows users to rapidly configure several workflows for effective area management.

M.A.P Scientific Services implemented PAM for the West Lunga Conservation Project (WLCP) in West Lunga National Park, Zambia. The Solution targeted workflows that improve monitoring of the area, these included remote sensing of deforestation and wildfires, law enforcement, wildlife sightings, and community outreach. Outcomes have allowed for improved monitoring and evidence-based management of the protected area that benefits conservation and communities whose livelihoods are intrinsically dependent on the West Lunga ecosystem and its services.

“Are there any innovative solutions for national park visitors to meet nature without any risk of danger?” The long-standing concerns of Korean park rangers have begun to achieve great results by establishing an AI-based visitor safety management system using the latest technology. This system automatically monitors and analyzes the potential safety hazard areas in national parks 24 hours a day by combining measuring equipment such as CCTV, crack gauge, and artificial intelligence. When signs of danger are identified, an alarm is sent to the site where visitors are staying and the control center in the national park office for follow-up and to prevent the risks in advance. 89 intelligent CCTVs have been installed in 15 national parks since 2020, and 525 automatic and manual crack gauges have been operated in 174 potential rockfall hazard areas of 21 national parks since 2013.

Wudalianchi is a national park in northeastern China. In recent years, Wudalianchi has gradually attracted people’s attention. Now it is not only an ideal learning place for geology scholars, but also a popular holiday resort.

Due to the increase of tourists and traffic flow, the protection capacity of the geological relics reached its limits, which also risked visitors’ safety. In the past, only some monitoring points were arranged in the densely populated areas of park, which was far from enough to monitor other non-densely populated geological sites and monitor the tourists flow.

This solution describes how the management committee of Wudalianchi increases the monitoring capacity by upgrading monitoring system and educating the public. Wudalianchi has developed 12 sightseeing areas. This program has greatly reduced the cost of management and the number of security personnel required, allowing quickly response in face of emergency.

By installing an NGO-based anti-poaching team, and using various anti-poaching technologies in Pu Mat National Park, we were able to effectively maintain spatially explicit records of poaching activities, profiles of offenders, strategically implement automated poaching alert systems, and significantly decreased the number of poachers, traps, and camps within the core zone of the protected area while also substantially mitigating poaching activities throughout the entirety of the park. In doing so, we managed to identify and apply pressure on high-risk poaching areas, create avoidance of poaching in locations where high-priority (Endangered, and Critically Endangered) species were present, maintain a working database of offences and offenders within the protected area to understand more about the social aspects of poaching, and built capacity for all operating rangers in the protected area to use the same methods and technologies themselves.

IUCN together with the Swiss PORINI Foundation launched NatureCollectibles (NCs), a new and innovative way to make biodiversity assets tradeable. NCs are digital representations of a species connected to a real-world nature conservation project. They are written to Porinis zero-carbon blockchain where they cannot be copied or multiplied, making them unique and tradeable, like a piece of art.

We invited 8 protected and conserved areas (PCAs) from 6 continents to present their work at the first African Protected Areas Congress in Kigali and developed a mobile app where these digital twins can be collected and traded. People can now take part in ongoing conservation action.

We collected over 16’000 USD in the first 2 months and any user can see on the APP that 100% of his contribution is sent to the PCA.

In October, we will launch the next collection featuring 8 species from 8 PCAs in Madagascar and over the next 5 years, a total of 512 species in 64 different collections will be added.

Located in the central part of the Kopetdag Range in the Ahal Province of Turkmenistan and spanning an area of 497 km2, Central Kopet Dag Reserve incorporates two sanctuaries and two natural monuments.

This Reserve is the most important stronghold in Turkmenistan for the conservation of the Persian leopard (Panthera pardus saxicolor) and recently the presence of the Pallas cat (Otocolubus manul), a relatively rare small wild cat, rediscovered. The Reserve is the gateway between Iran and areas to the north and west into Kazakhstan for the Persian leopard. Since 2018, thanks to the collaboration between protected area staff and international partners, an effort is underway to establish baseline information on all cat species, the status of their important prey (the Urial and Bezoar goat), and to identify threats, including the impacts of the border fence with Iran. Twenty camera traps have been deployed that to date have enabled to identify several Persian leopards as well as record the Pallas cat.

This is the story on how Huawei and a local association of hunters and anglers – Berlevåg Jeger- og fiskerforening (BJFF) – developed an automated fish trap with a built-in camera system and AI-software to remove the invading foreign humpback salmon from a river in Berlevåg, a small community, on the northmost tip of Norway, neighboring the Barents Sea. By preventing the humpback salmon from swimming up the rivers, we eliminate the risk of reproduction and reduce the threat to invasive species in rivers. The Atlantic salmon populations are exposed to variety of threats but the threat from the invasive humpback salmon is the most significant. This is the story on how to save the Atlantic salmon by using technology.  The humpback salmon problem is escalating drastically, and as a result, the construction design of the fish trap is prepared to be duplicated and fit into other rivers

Biodiversity baseline data is key to conservation decision-making and practices, yet facing data deficiency and information asymmetry. With the assistance of technology tools, China Nature Watch aims at strengthening the collection of biodiversity data from various sources, especially citizen science, facilitating data applications in land use planning and public participation, and mainstreaming biodiversity conservation.

Specifically, technology brings effective solutions to 3 modules:

• Camera trap data management: developing online AI-incorporated data management system to simplify and speed up camera trap data collection and processing.
• Citizen science data visualization: using PowerBI to automatically analyze and interactively visualize species records collected by citizen scientists.
• Biodiversity Impact Assessment Tool (BiA): integrating ecological and construction data from multiple data sources to provide instant enquiry of biodiversity impact assessment for construction projects via cloud platform.