@article {592,
	title = {Indigenous management of tropical forest ecosystems: The case of the Kayap{\'o} Indians of the Brazilian Amazon},
	journal = {Agroforestry Systems},
	volume = {3},
	year = {1985},
	month = {June 1985},
	pages = {139-158},
	abstract = {<p>The Kayap{\'o} Indians of Brazil\&$\#$39;s Amazon Basin are described as effective managers of tropical forest, utilizing an extensive inventory of useful native plants that are concertrated by human activity in special forest areas (resource islands, forest fields, forest openings, tuber gardens, agricultural plots, old fields, and trailsides). Long-term transplanting and selection of plants suggest semi-domestication of many species. The overall management strategies of forest also includes many manipulated animal species (birds, fish, bees, mammals) utilized as food and game. Forest patches (ap{\^e}t{\^e}) are created by Indians from campo/cerrado using planting zones made from termite and ants nests mized with mulch: formation and development of these is briefly discussed, including the implementations for new ideas concerning reforestation and campo management. Finally an intergrative cognitive model is presented showing the relationships between variants of forest and savanna recognized by the Kayap{\'o}. Indigenous knowledge of subtle similarities between conceptually distinct ecological units in the model allows for the interchange of botanical material between microclimates to increase biological diversity in managed areas. It is suggested that indigenous knowledge is extremely important in development of new strategies for forest and campo/cerrado conservation, while improving productiveness of these ecological systems. Such knowledge is not only applicable for Amaz{\^o}nian Indians, but also has far-reaching implications for human populations throughout the humid tropics.</p>},
	keywords = {Amazon Basin, cognitive model, forest patch, horticulture, indigenous knowledge, tropical forests},
	doi = {10.1007/BF00122640},
	url = {http://dx.doi.org/10.1007/BF00122640},
	author = {Darrell Addison Posey}
}
