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The primates of gorongosa national park, Mozambique

Carvalho, Susana; Anemone, Robert L.; de Oliveira Coelho, João; Bobe, René

This contribution is an introduction to and synthesis of the special issue of the AJBA on Primate Adaptations in a Highly Seasonal and Heterogeneous African Ecosystem. The eight research papers in this special issue provide the first compilation of primatological research to emerge from Gorongosa National Park and represent a major landmark in the development of primatology as a science in Mozambique. Primatolo...


The first Miocene fossils from coastal woodlands in the southern East African Rift

Bobe, René; Aldeias, Vera; Alemseged, Zeresenay; Anemone, Robert L.; Archer, Will; Aumaître, Georges; Bamford, Marion K.; Biro, Dora; Bourlès, Didier L.

The Miocene was a key time in the evolution of African ecosystems witnessing the origin of the African apes and the isolation of eastern coastal forests through an expanding arid corridor. Until recently, however, Miocene sites from the southeastern regions of the continent were unknown. Here, we report the first Miocene fossil teeth from the shoulders of the Urema Rift in Gorongosa National Park, Mozambique. W...


The first Miocene fossils from coastal woodlands in the southern East African Rift

Bobe, René; Aldeias, Vera; Alemseged, Zeresenay; Anemone, Robert L.; Archer, Will; Aumaître, Georges; Bamford, Marion K.; Biro, Dora; Bourlès, Didier L.

The Miocene was a key time in the evolution of African ecosystems witnessing the origin of the African apes and the isolation of eastern coastal forests through an expanding arid corridor. Until recently, however, Miocene sites from the southeastern regions of the continent were unknown. Here, we report the first Miocene fossil teeth from the shoulders of the Urema Rift in Gorongosa National Park, Mozambique. W...


Unsupervised learning of satellite images enhances discovery of late Miocene fo...

Coelho, João Pedro de Oliveira; Anemone, Robert L.; Carvalho, Susana

Paleoanthropological research focus still devotes most resources to areas generally known to be fossil rich instead of a strategy that first maps and identifies possible fossil sites in a given region. This leads to the paradoxical task of planning paleontological campaigns without knowing the true extent and likely potential of each fossil site and, hence, how to optimize the investment of time and resources. ...


Unsupervised learning of satellite images enhances discovery of late Miocene fo...

d’Oliveira Coelho, João; Anemone, Robert L.; Carvalho, Susana

Paleoanthropological research focus still devotes most resources to areas generally known to be fossil rich instead of a strategy that first maps and identifies possible fossil sites in a given region. This leads to the paradoxical task of planning paleontological campaigns without knowing the true extent and likely potential of each fossil site and, hence, how to optimize the investment of time and resources. ...


Using remote sensing and machine learning to reconstruct paleoenvironmental fea...

Dorans, Elizabeth R.; Coelho, Joao D'Oliveira; Anemone, Robert L.; Bobe, Rene; Carvalho, Susana; Forrest, Frances; Braun, David R.

Advances in Geographic Information Systems and Remote Sensing technologies have the potential to revolutionize archaeological and paleontological fieldwork. Machine learning models have been effective in identifying conditions ideal for preservation, exposure, and discovery of fossils in a range of geographic contexts. Researchers working in the Koobi Fora Formation of northern Kenya have long inquired about th...


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