Years of research and conservation practices have not only stressed the importance of biodiversity data but also revealed the flaws of current workflow, ranging from inefficient data management, lack of data integration, to limited public-accessible data applications. Moreover, such workflow is mainly man-powered and often involves a lot of repetitive work, taking up huge amount of conservationists’ time.

Following the rapid development of technology, we have gradually realized the potential of technology to bring solutions to our “pain points” for long. In order to utilize technology tools in places in most needs, a systematic review and analysis of the current workflow was conducted to identify bottlenecks with high priorities and the possible solutions. The contemplation began in May 2018 and was materialized starting from Jun 2019 after potential technical partners emerged. Based on the systematic workflow analysis and close partnership, we made a step-by-step plan, aiming at developing modules one by one, considering our limited resource and manpower (e.g., from community-based camera trap monitoring assistant app, to BiA tool, to citizen science data visualization platform, to camera trap data management system).    

To enable automatic and instant biodiversity impact assessment enquiry, the BiA tool has been developed to facilitate enquiry services for land planners and other interested parties via Azure platform. The BiA tool works by overlaying the enquiry site or region (or existing construction projects) with multiple geographic layers including species distribution and protected area range to investigate if the site or region is within certain distance (e.g., 3 km, 5 km) from and may cause impact on endangered species habitat and/or protected areas. The assessment reports illustrate ecological and environmental risks of construction projects for decision-makers and could hopefully promotes them to take biodiversity into consideration.

A brief timeline of the BiA tool:

• Apr-Jun 2020: team formation, requirement communication, system development plan
• Jul-Sept 2020: tool development
• Oct 2020: trial test, application and dissemination
• (in preparation) Apr-Sept 2022: system upgrade

A Pasture Coordination Platform was organized in Armenia as a horizontal management network among relevant stakeholders on national and sub-national level. Each party is represented by a spokesperson, who coordinates the functions of the party within the Platform and ensures information flow. A secretariat ensures the operation of the Platform. The rationale for creation of the Platform was the need to promote effective cooperation, exchange of information, as well as coordination of activities among the projects implemented in Armenia, focusing on sustainable management of natural fodder areas.

Since 2018 the Platform has evolved and now more than 10 organizations, institutions, projects and public administration bodies are involved in the Platform’s activities, aiming to ensure viability of programs and investments in the area of animal farming, increase economic opportunities of communities and support income growth of rural residents in Armenia. Key objectives of the Coordination Platform are:

• Coordination, exchange of information exchange and experience, identification of potential cooperation areas
• Implementation of joint projects, activities
• Advocating and supporting development of relevant state policy and legislation promoting sustainable use and management of natural fodder areas

Maintaining pastures as a natural resource is easily to been done by the application of GIS and remote sensing tools to develop accurate classification maps, e.g. pastures, hay meadows, grassland. The combination of digital data and spatial technology enables detailed and useful monitoring of aboveground green vegetation biomass and grassland composition. Besides, resources and attributes can be monitored for knowledge management and long-term decision planning.  

In 2007, a 600 km solo sea kayak was carried out along the coast of Tamil Nadu (southeast coast of India) for creating awareness about the conservation of local marine ecosystems including dugongs, seagrasses, coral reefs, and mangroves. In the following years, about 40000 people including school students, university students, fisherfolks, and government officials have attended our marine conservation awareness events in the last 15 years through folk music, school level awareness education programs, competitions, seminars, training, field trips, and distribution of awareness materials. This continuous awareness at the local and sub-national level has built rapport with the stakeholders for the rescue and release of dugongs, and mapping and restoration of seagrass beds.

Wildlife disease surveillance in bats, rodents and non-human primates, was conducted in key interfaces where wildlife was most likely to interact (directly or indirectly) with livestock or humans. In Bolivia, key interfaces between wildlife and domestic animals and people included subsistence hunting by indigenous communities, captive wildlife settings (rescue centers and sanctuaries), peri-domestic settings (in and around human dwellings or fields), wildlife trade, extractive industries and livestock production areas. Additionally, wildlife disease surveillance was conducted in remote protected areas for comparison purposes, as well as during zoonotic disease outbreaks in people. By targeting healthy free-ranging wildlife and stressed or sick wildlife, we aimed to increase the possibilities of detecting known and novel viruses likely to impact human health and affect wildlife conservation.

In order to facilitate the detection of potential pathogens on samples collected during the PREDICT surveillance activities, low-cost viral family-level consensus PCR assays were implemented at PREDICT´s local partner laboratory (IBMB) for detection of 12 different viral families of public health importance in wildlife. Also, to increase the diagnostic capacity of the Ministry of Health reference laboratories, CENETROP and INLASA, both laboratories received the PREDICT PCR protocols to detects prioritized families of viruses of zoonotic potential (coronaviruses, hantaviruses, flaviviruses, arenaviruses, alphaviruses, paramyxoviruses, bunyaviruses, filoviruses, henipaviruses, orthomyxoviruses, poxviruses and rhabdoviruses). In addition, primers and synthetic universal controls were donated to those laboratories for the detection and discovery of known and novel viruses in wildlife.

Key stakeholders (including government personnel from public health, veterinary and biodiversity services; wildlife rescue centers staff; field veterinarians; biologists; laboratory technicians; and inhabitants of indigenous communities), were trained to survey for zoonotic disease spillover risk using the USAID PREDICT surveillance protocols. Training covered diverse topics including biosafety and PPE use, animal capture, sampling methods for various species of animals, data collection, sample packing and shipment, emergency preparedness, early warning systems, and safe laboratory operations. Woven into all training on surveillance tools was the emphasis on clear communication channels. All stakeholders were made aware of the specific agencies and individuals to liaise with regarding wildlife disease risk, so that the appropriate parties can be notified in a timely and effective manner.

This building block involved facilitating dialogues between previously siloed actors: government agencies, research, local people, etc. When the gaps between sectors are addressed before solution implementation, diverse voices and opinions can be considered and the solutions developed are often more readily implemented and accepted.  

What gets measured, gets done. WinS monitoring and recognition systems strengthen large-scale WinS implementation.