Why this target group?
Extractive activities such as hunting and fishing are a long tradition, which began as a form of subsistence for our species. Hunting and sport fishing carry on our ancestral knowledge related to the tracking and behavior of wildlife, which can be useful in understanding our environment and identifying the presence of different species.
Many people engaged in these activities have a deep knowledge of the environment.
They invest a lot of time in direct contact with the natural environment, not only while pursuing their outdoor hobbies, but also throughout the year as they manage hunting grounds and enjoy privileged access to nature.
Many of them have taken advantage of camera traps to gain more precise knowledge of the species in their hunting grounds. This information can be very useful for scientific research and nature management, but this information is not usually shared or used by others.
Hunters and fishermen have a long tradition of collaborating with scientists by providing samples or permissions for different studies to be carried out on their managed grounds. This project can provide an opportunity to once again take on a role as citizen scientists, who care about the conservation and management of the natural environment, providing accurate information on the species in their hunting grounds.
Collaborating by contributing information about the fauna allows for better decisions based on objective data. This approach facilitates a sustainable approach to fauna management.
How to participate?
The iMammalia mobile app has a very user-friendly design, allowing users to record incidental observations of different species. You can include photographs of the species or their signs, such as footprints, droppings, and food remains, which makes record validation easier.
The MammalWeb application allows citizen scientists to easily upload all photos recorded by camera traps, while respecting the confidentiality of their precise location. Species are identified by citizens and experts, generating data of great scientific value.
The MammalWeb application also allows participation through identifying photos from your own camera traps or collaborating to identify photos from other regions or collaborators. Identifications from multiple users will be taken into account to identify each photo, so no need to worry if you get one wrong.
Those with an expert/manager status should look at the Researcher section of this website to assess whether the use of AGOUTI may be of interest to them.