250 likes | 283 Views
DISTRIBUTION OF ENDEMIC MAMMALS IN THE PERUVIAN YUNGAS. Heidi Quintana & Victor Pacheco. MUSEO DE HISTORIA NATURAL UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS LIMA - PERU. PERU. The territory of Peru covers 1,285,256 km².
E N D
DISTRIBUTION OF ENDEMIC MAMMALS IN THE PERUVIAN YUNGAS Heidi Quintana & Victor Pacheco MUSEO DE HISTORIA NATURAL UNIVERSIDAD NACIONAL MAYOR DE SAN MARCOS LIMA - PERU
PERU The territory of Peru covers 1,285,256 km². It neighbors Ecuador and Colombia to the north, Brazil to the east, Bolivia to the southeast, Chile to the south, and the Pacific Ocean to the west.
PERUVIAN YUNGAS Elevation: 800 – 3600 m Extension: 15 000 000 ha Characteristics: The complex geology of the Andes has generated a landscape rich in biodiversity, endemism and unique ecosystems
Endemic Species TYPE A TYPE B TYPE C 7
Habitat-Geographic Barriers LANDSCAPE ECOLOGICAL FACTORS Endemic Species Species Data RECORDS Tools
Polygons elaboration Compilation of Species Information (literature, museum records & observations) Polygons = Probable Distribution Create DataBase
TYPE A: POLYGONS • Polygon around the species records • Arc View 3
TYPE B: DEDUCTIVE MODEL • Species records • Altitudinal ranges – Digital Elevation Model (DEM) • North and South limits • Arc View 3
TYPE C: INDUCTIVE MODEL • Environmental variables layer • Elevation • MODIS • Arc View 3 Maxent (a statistical mechanics approach)
Distribution along the Yungas DEPRESION DE HUANCABAMBA DEPARTMENTS LIMITS Akodon aerosus
Distribution centered in the North DEPRESION DE HUANCABAMBA HUALLAGA RIVER Akodon orophilus
Central Distribution PERENE RIVER INAMBARI RIVER Oecomys phaeotis
Distribution centered in the South INAMBARI RIVER DEPARTMENT LIMIT Akodon kofordi
Punctual Distribution Sturnira nana
Exceptions: TAMBO RIVER DEPARTMENT LIMIT Carollia manu
Cordillera occidental de Vilcabamba • Norwest of Huánuco • Cordillera de Paucartambo Above Inambari River • Yungas Centrales de Bolivia PRIORITY AREAS DeductiveModel Inductive model
CONCLUSIONS • The species distribution model allows us to minimize errors by collecting specimens nearer to the roads and rivers. • Identify the remote natural areas in which it is likely that a species is located, based on the characteristics that they share with previously sampled sites. • The polygons around the points don’t provide the necessary precision for regional conservation in Peru.
THANK YOU! SCGIS Heidi Quintana Navarrete Heidi.qn@gmail.com