The Amazon basin is the largest and most species-rich tropical forest and river system in the world, playing a pivotal role in global climate regulation and harboring hundreds of traditional and indigenous cultures. More than 10M traditional, peasant and Indigenous people live in rural areas of Amazonia and rely mostly on hunting and fishing to obtain dietary protein and other key nutrients. About 3,5M km2 of protected natural areas and indigenous lands make up about 45% of Amazonia, officially protecting biodiversity, ecosystem services and livelihoods. Managing these enormous areas is a major challenge. Indeed, scientific tools for supporting management plans, zoning or even the delimitation of protected areas are scarce. By combining a set of collaborative territorial plan, experimental design, camera trap surveys, demographic and spatial hunting monitoring, remote sensing and geographic information systems, we propose here a novel framework on wildlife territorial management. From a long-term collaborative research (2012 to date) with Paumari indigenous people from the Tapauá River, Brazilian Amazonia, we have predicted local wildlife core areas and spatial spread of hunting, in order to assess of hunting sustainability under landscape. Our main goals were building spatially-explicit models on wildlife abundance to predict wildlife core areas throughout the landscape. This context-adaptive and culturally appropriate approach can empower social actors by strengthen local capacity and providing tangible and feasible guidelines to support decision making on wildlife use, local spatial-zoning, local agreements building, and, most strikingly, subsidy the delimitation of indigenous lands and protected areas in Amazonia and worldwide.