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.

Mexico is recognized as a megadiverse country, housing approximately 12% of the world’s species. The country safeguards a rich natural and cultural heritage through the efforts of indigenous communities. The Yucatan Peninsula, in the southeast, is ecologically rich, featuring rainforests, coral reefs, mangroves, and more, but these ecosystems are rapidly deteriorating due to human activities and climate change. Nearly 80% of the rainforests are disturbed, with only 22% covered by mature vegetation, primarily in protected areas.

The Tech4Nature Mexico pilot project employs continuous biodiversity monitoring and artificial intelligence systems for the detection and conservation of priority species in the Dzilam State Reserve, to strengthen the understanding of the impacts of climate change on the area. This approach has been materialized through the inclusion of the community as main partners and contributors, the application of machine learning techniques and the construction of multi-sectoral alliances.

The Hainan gibbon (Nomascus hainanus) is one of the most endangered primates in the world, living in the Bawangling area of Hainan Province, China. Comprehensive tracking and monitoring is required for better conservation, but because of the difficulty in vivo tracking, acoustic equipment is needed for monitoring.

“Tech4Nature” is a global project jointly launched by the International Union for Conservation of Nature (IUCN) and Huawei, aiming to develop more scientific protection measures, combined with the ICT industry, digital technology and IUCN Green List standards, provides technical support for the acoustic monitoring project of Hainan gibbons. To date, full coverage of 5 family groups monitoring has been achieved, automatic identification and real-time back transmission of Hainan gibbon acoustic monitoring have been realized.