Climate change impacts on the land cover and use in Pernambuco: data generation to subside public decisions

• Grant number: 09/52468-0
• Support Opportunities: Research Program on Global Climate Change - Thematic Grants
• Start date: October 01, 2010
• End date: September 30, 2014
• Field of knowledge: Physical Sciences and Mathematics - Geosciences
• Agreement: FACEPE
• Principal Investigator: Jean Pierre Henry Balbaud Ometto
• Grantee: Jean Pierre Henry Balbaud Ometto
• Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovação (Brasil). São José dos Campos , SP, Brazil
• Associated scholarship(s): 12/19875-4 - Greenhouse gas emissions in the Brazilian semiarid region: environmental, climate and social constraints, BP.PD; 12/01138-3 - Hydro-climatic conditions and dynamic response of nitrogen and carbon in an area of caatinga, Pernambuco, BP.DR

Abstract

The current proposal seeks to develop coordinated scientific and technological activities between institutions and researchers from Pernambuco and São Paulo states. The objective of the project is to evaluate the impacts of projected climate changes on the carbon and nitrogen balances and the productivity of the main crops and native vegetation within the different regions of Pernambuco. The proposal has two focal research areas, observational and modeling, with the following research goals: i) map the current land use and cover of the state of Pernambuco at the 1: 1 00.000 scale; ii) quantify and map the carbon stocks in soil and vegetation in Pernambuco; iii) create a plant and soil carbon and nitrogen stable isotope data base at the State, for selected key native ecosystems within a precipitation transect; iv) measure CH4, N2O e CO2 fluxes at different and correspondent levels, within a instrument Eddy-covariance site at the ‘Semi-Árido’ region (Caatinga), looking at soil, vegetation and entire ecosystem (carbon balance and GHG emissions from soils); v) quantifythe carbon balances in three different land cover situations (caatinga, pasture and agriculture), with eddy-covariance techniques; vi) construct scenarios from the regional models, to the present climate (1961-1990), and compare with the available data to Pernambuco; vii) draw scenarios for the 2010-2100 time frame for Pernambuco; viii) climate scenarios, in several time slices, with different atmospheric CO2 concentration and land use changes; ix) use the Century model to evaluate the climate change impacts on soils and ecosystem productivity within agricultural, pasture and Caatinga areas for the 2010-2100 time frame; x) use the IBIS model to investigate the atmosphere-biophere interactions and carbon balances for Pernambuco, including simulations considering climate changes. The synergy intended during the planning of this project is extremely rich, since the complementary skills of the research team and institutions will support important capacity building activities, including young researchers and students from all institutions. There will be a strong effort on identifying vulnerabilities, aiming to subsidize decision makers concerning adaptation strategies. (AU)

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DEUSDARA, K. R. L.; FORTI, M. C.; BORMA, L. S.; MENEZES, R. S. C.; LIMA, J. R. S.; OMETTO, J. P. H. B.. Rainwater chemistry and bulk atmospheric deposition in a tropical semiarid ecosystem: the Brazilian Caatinga. Journal of Atmospheric Chemistry, v. 74, n. 1, p. 71-85, MAR 2017. (12/01138-3, 09/52468-0)

OMETTO, JEAN PIERRE; AGUIAR, ANA PAULA; ASSIS, TALITA; SOLER, LUCIANA; VALLE, PEDRO; TEJADA, GRACIELA; LAPOLA, DAVID M.; MEIR, PATRICK. Amazon forest biomass density maps: tackling the uncertainty in carbon emission estimates. Climatic Change, v. 124, n. 3, SI, p. 545-560, JUN 2014. (09/52468-0)

L. F. C. REZENDE; B. C. ARENQUE-MUSA; M. S. B. MOURA; S. T. AIDAR; C. VON RANDOW; R. S. C. MENEZES; J. P. B. H. OMETTO. Calibração da velocidade máxima de carboxilação (Vcmax), utilizando técnicas de mineração de dados e dados de ecofisiologia da região semiárida brasileira, para uso em Modelos de Vegetação Globais Dinâmicos.. Brazilian Journal of Biology, v. 76, n. 2, p. 341-351, 2016-03-08. (09/52468-0)

MENDES, KEILA REGO; BATISTA-SILVA, WILLIAN; DIAS-PEREIRA, JAQUELINE; PEREIRA, MARCOS P. S.; SOUZA, ELIANE V.; SERRAO, JOSE E.; GRANJA, JOAO A. A.; PEREIRA, EUGENIA C.; GALLACHER, DAVID J.; MUTTI, PEDRO R.; et al. eaf plasticity across wet and dry seasons in Croton blanchetianus (Euphorbiaceae) at a tropical dry fores. SCIENTIFIC REPORTS, v. 12, n. 1, JAN 19 2022. (09/52468-0)

REZENDE, L. F. C.; ARENQUE-MUSA, B. C.; MOURA, M. S. B.; AIDAR, S. T.; VON RANDOW, C.; MENEZES, R. S. C.; OMETTO, J. P. B. H.. Calibration of the maximum carboxylation velocity (Vc(max)) using data mining techniques and ecophysiological data from the Brazilian semiarid region, for use in Dynamic Global Vegetation Models. Brazilian Journal of Biology, v. 76, n. 2, p. 11-pg., 2016-04-01. (09/52468-0)

DEUSDARA, K. R. L.; FORTI, M. C.; BORMA, L. S.; MENEZES, R. S. C.; LIMA, J. R. S.; OMETTO, J. P. H. B.. Rainwater chemistry and bulk atmospheric deposition in a tropical semiarid ecosystem: the Brazilian Caatinga. JOURNAL OF ATMOSPHERIC CHEMISTRY, v. 74, n. 1, p. 15-pg., 2017-03-01. (12/01138-3, 09/52468-0)

RIBEIRO, KELLY; DE SOUSA-NETO, ERACLITO RODRIGUES; DE CARVALHO JUNIOR, JOAO ANDRADE; DE SOUSA LIMA, JOSE ROMUALDO; CEZAR MENEZES, ROMULO SIMOES; DUARTE-NETO, PAULO JOSE; GUERRA, GLAUCE DA SILVA; HENRY BAULBAUD OMETTO, JEAN PIERRE. Land cover changes and greenhouse gas emissions in two different soil covers in the Brazilian Caatinga. Science of The Total Environment, v. 571, p. 1048-1057, NOV 15 2016. (09/52468-0)

L. F. C. REZENDE; B. C. ARENQUE-MUSA; M. S. B. MOURA; S. T. AIDAR; C. VON RANDOW; R. S. C. MENEZES; J. P. B. H. OMETTO. Calibration of the maximum carboxylation velocity (Vcmax) using data mining techniques and ecophysiological data from the Brazilian semiarid region, for use in Dynamic Global Vegetation Models. Brazilian Journal of Biology, n. ahead, p. 0-0, 2016. (09/52468-0)

OMETTO, JEAN PIERRE; AGUIAR, ANA PAULA; ASSIS, TALITA; SOLER, LUCIANA; VALLE, PEDRO; TEJADA, GRACIELA; LAPOLA, DAVID M.; MEIR, PATRICK. Amazon forest biomass density maps: tackling the uncertainty in carbon emission estimates. Climatic Change, v. 124, n. 3, p. 16-pg., 2014-06-01. (09/52468-0)