White-lipped peccary in the Amazon (copyright and photo Jose MV Fragoso)
News article from Virginia Tech University on our research: “Evidence of wildlife passage, such as tracks, scat, fur, and disturbed surroundings, is a more accurate tool for assessing wildlife conservation status than actual encounters with animals, according to an international team of scientists from six universities, publishing in the April 13, 2016, issue of PLOS ONE.” Continue reading “Community livelihoods depend upon accurate wildlife estimates”
Collared peccary (copyright photo Jose MV Fragoso)
Our new paper in the journal PLOS ONE reports that we are grossly under-detecting hunted animal species. The results challenge the many studies showing serious negative impacts of subsistence hunting on wildlife species. Seems like the animals may be hiding from us. This research indicates that we need to reassess how we measure hunting impacts in the tropics.
Industrial scale soybean fields cut from forest by the Xingu Indigenous Area, Brazil (Photo copyright by Jose Fragoso)
Stanford University reports on how our computer model simulating sustainability sheds light on how modern interventions can affect tropical forests and indigenous peoples. Our computer simulation shows that carefully designing government interactions with rural indigenous people is critical for protecting the sustainability of people, wildlife and the land.
Agro-industrial soy bean farm adjacent to forest of an indigenous area in Brazil (photo Jose Fragoso)
Research collaborators Takuya Iwamura, Eric Lambin, Kirsten Silvius, Jeffrey B Luzar, and José Fragoso have a new paper in press. The publication examines the resiliency and sustainability of biodiversity, human livelihoods and forest cover within Amazonian indigenous lands under various future development scenarios. The paper is scheduled for publication in the February 2016 issue of the journal “Frontiers in Ecology and the Environment”.
White-lipped peccary (Tayassu pecari) in Roraima, Brazil (photo by Jose Fragoso).
More than 170 white-lipped peccaries were filmed crossing the Rio Branco River in Caracaraí County, Roraima, Brazil in the Amazon. The peccaries were filmed for over 30 minutes when in the middle of the almost 2 km wide Rio Branco by agents of Brazil’s wildlife agency Ibama. Recording made on November 7, 2015.
Stanford University produced a short documentary of our monitoring of plants and animals of the Amazon. Watch amazing scenes of caimans, capybaras, tapirs, giant anteaters, giant otters, macaws and other unusual creatures filmed during our field studies. The interview focuses on the successful monitoring of these animals by indigenous people. The take home message is that indigenous people use wildlife in a sustainable fashion.
Jose Fragoso gives lecture at Stanford’s Native American Cultural Center on indigenous spirituality and the sustainability of culture and the environment.http://events-prod.stanford.edu/events/499/49961/
Community discussion of potential problems of environmental monitoring by villagers (photo Jose Fragoso)
Jose Fragoso lectures at Stanford’s Center for Latin American Studies (link: http://events.stanford.edu/events/482/48261/) on what leads to success and failure in environmental and social monitoring by local people.
The lecture is highly recommended for academics, researchers, professionals and students interested in the success and failure of participatory and citizen science monitoring approaches
Village by an Amazonian river (photo by Jose Fragoso)
We have completed a major work describing the sustainability of hunting, farming (land use) and local livelihoods in the tropics. We devised an agent based computer simulation model and explored the relationships between the above mentioned elements to consider what the future may hold for tropical forest biota, ecosystems and peoples.
Iwamura T., Lambin E., Silvius K.M., Luzar J.B. & Fragoso J.M.V. 2014. Agent-based modeling of hunting and subsistence agriculture on indigenous lands: understanding interactions between social and ecological systems. Environmental Modelling & Software, 58: 109-127.