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Two-centuries of climate changes reconstruction through dendroclimotological and isotopic studies from trees at the Parque Nacional Cavernas do Peruaçu region

Grant number: 18/07632-6
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): May 01, 2018
Field of knowledge:Biological Sciences - Botany - Applied Botany
Cooperation agreement: National Science Foundation (NSF) and NSF’s Partnership for International Research and Education (PIRE)
Principal Investigator:Gregório Cardoso Tápias Ceccantini
Grantee:Milena de Godoy Veiga
Home Institution: Instituto de Biociências (IB). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:17/50085-3 - PIRE: climate research education in the Americas using tree-ring speleothem examples (PIRE-CREATE), AP.TEM
Associated scholarship(s):19/09813-0 - High-precision radiocarbon dating of dead and fossil tree trunks from the National Park "Cavernas do Peruaçu" for confirmation of tree-ring annual formation and past climate studies, BE.EP.DD


Climate change may impact forests worldwide and therefore interfere with the biogeochemical cycles. In order to predict extreme events it is necessary to understand the climatic variability before human actions, a challenge in tropical regions where the climate records are limited to recent decades. Natural records as the tree rings allow investigations as how climate modulates tree growth, providing annualresolved data of these climatic variables before any human disturbances. This project intends to built tree ring width and isotopic chronologies from species at the Parque Nacional Cavernas do Peruaçu - PNCP. In addition, the Non-Structural Carbohydrates (NSC) from the last 30 years will be dated through 14C to understand how its remobilization and dynamics may affect dendrochronological analyses. The production of long data series in this region enables the delimitation of climatic variations distribution and intensity in the last centuries, focusing in the South American Monsoon hydroclimatic system. These data will also provide more realistic information to climatic models and help predict extreme events in Brazil, assisting in public policies development for the most economically vulnerable groups. (AU)