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Mapping Amazonian biodiversity at multiple scales by integrating geology and ecology

Grant number: 13/50475-5
Support type:Regular Research Grants
Duration: January 01, 2014 - March 31, 2018
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Geology
Cooperation agreement: AKA
Principal Investigator:Dilce de Fátima Rossetti
Grantee:Dilce de Fátima Rossetti
Principal investigator abroad: Hanna Marjaana Tuomisto
Institution abroad: University of Turku, Finland
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil

Abstract

The Amazon basin supports the largest continuous tropical rain forest of the world, and harbors a spectacular species diversity of both plants and animals. This very high diversity is a partial cause for the incomplete understanding of how Amazonian forest communities are assembled, and how the species are distributed in space. A wide range of environmental parameters should be investigated within different spatial and temporal scales. This underlines the importance of understanding how species and biotic communities relate to various environmental variables. The knowledge on Amazonian vegetation is far from satisfactory to furnish conclusive answers to understand the main control on species diversity and distribution. This makes many activities in conservation and utilization of Amazonian species very difficult and also hinders scientific research on ecology, biogeography and evolution of the biota. A new approach has been to relate vegetation patterns to the late Quatemary depositional dynamics, but this needs further investigation integrating the characterization of the physical environment in space and time and of plant species diversity and distribution in the modem and ancient setting. In the present project, floristic information will be analyzed together with environmental properties. The aim is to identify characteristics of relevance to approach the causes of species distribution at the regional and local scales, and establish models for predicting species distribution. The proposed cooperative work between the Finish and Brazilian research teams constitutes an important effort to reach these goals. Both teams have concentrated their research on the analysis of Amazonian plant species distribution taking into account environmental Controls. The main emphasis of the Finish group has been plant species modeling, while the main topic of the Brazilian team has been focused on geoscience data acquisition aiming the reconstruction of Amazonian paleolandscapes. Therefore, these groups have common scientific interests, and their link into a cooperative project is more than natural. For the present project, the investigation will follow an integrated approach combining remote sensing with geological and botanical field data that can contribute to unravel the main variables influencing species distribution and generate predictive models within a multiscale framework. (AU)

Scientific publications (18)
(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)
ROSSETTI, DILCE DE FATIMA; GRIBEL, ROGERIO; LISBOA COHEN, MARCELO CANCELA; VALERIANO, MARCIO DE MORISSON; TATUMI, SONIA HATSUE; YEE, MARCIO. The role of Late Pleistocene-Holocene tectono-sedimentary history on the origin of patches of savanna vegetation in the middle Madeira River, southwest of the Amazonian lowlands. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, v. 526, p. 136-156, JUL 15 2019. Web of Science Citations: 0.
DILCE F. ROSSETTI; GABRIEL M. MOULATLET; HANNA TUOMISTO; ROGÉRIO GRIBEL; PETER M. TOLEDO; MÁRCIO M. VALERIANO; KALLE RUOKOLAINEN; MARCELO C.L. COHEN; CARLOS L.O. CORDEIRO; CAMILO D. RENNÓ; LUIZ S. COELHO; CARLOS A.C. FERREIRA. White sand vegetation in an Amazonian lowland under the perspective of a young geological history. Anais da Academia Brasileira de Ciências, v. 91, n. 4, p. -, 2019. Web of Science Citations: 0.
ROSSETTI, DILCE F.; GRIBEL, ROGERIO; TOLEDO, PETER M.; TATUMI, SONIA H.; YEE, MARCIO; TUDELA, DIEGO R. G.; MUNITA, CASIMIRO S.; COELHO, LUIZ DE SOUZA. Unfolding long-term Late Pleistocene-Holocene disturbances of forest communities in the southwestern Amazonian lowlands. ECOSPHERE, v. 9, n. 10 OCT 2018. Web of Science Citations: 1.
ROSSETTI, DILCE F.; GRIBEL, ROGERIO; TUOMISTO, HANNA; CORDEIRO, CARLOS L. O.; TATUMI, SONIA H. The influence of late Quaternary sedimentation on vegetation in an Amazonian lowland megafan. EARTH SURFACE PROCESSES AND LANDFORMS, v. 43, n. 6, p. 1259-1279, MAY 2018. Web of Science Citations: 1.
ANJOS, LUCIANO J. S.; DE TOLEDO, PETER MANN. Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America. PLoS One, v. 13, n. 3 MAR 19 2018. Web of Science Citations: 6.
ARAUJO SILVA, MAYRA NINA; COHEN, MARCELO C. L.; ROSSETTI, DILCE F.; PESSENDA, LUIZ C. R. DID SEA-LEVEL CHANGES AFFECT THE BRAZILIAN AMAZON FOREST DURING THE HOLOCENE?. RADIOCARBON, v. 60, n. 1, p. 91-112, FEB 2018. Web of Science Citations: 0.
LIMA, JR., W. J. S.; COHEN, M. C. L.; ROSSETTI, D. F.; FRANCA, M. C. Late Pleistocene glacial forest elements of Brazilian Amazonia. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, v. 490, p. 617-628, JAN 15 2018. Web of Science Citations: 0.
ROSSETTI, DILCE F.; GRIBEL, ROGERIO; RENNO, CAMILO D.; COHEN, MARCELO C. L.; MOULATLET, GABRIEL M.; DE OLIVEIRA CORDEIRO, CARLOS LEANDRO; FERREIRA RODRIGUES, ERIKA DO SOCORRO. Late Holocene tectonic influence on hydrology and vegetation patterns in a northern Amazonian megafan. CATENA, v. 158, p. 121-130, NOV 2017. Web of Science Citations: 3.
ROSSETTI, D. F.; VALERIANO, M. M.; GRIBEL, R.; COHEN, M. C. L.; TATUMI, S. H.; YEE, M. The imprint of Late Holocene tectonic reactivation on a megafan landscape in the northern Amazonian wetlands. Geomorphology, v. 295, p. 406-418, OCT 15 2017. Web of Science Citations: 3.
ROSSETTI, DILCE F.; ALVES, FABIO C.; VALERIANO, MARCIO M. A tectonically-triggered late Holocene seismite in the southern Amazonian lowlands, Brazil. SEDIMENTARY GEOLOGY, v. 358, p. 70-83, AUG 1 2017. Web of Science Citations: 8.
VALERIANO, MARCIO DE MORISSON; ROSSETTI, DILCE DE FATIMA. Regionalization of local geomorphometric derivations for geological mapping in the sedimentary domain of central Amazonia. Computers & Geosciences, v. 100, p. 46-56, MAR 2017. Web of Science Citations: 6.
ROSSETTI, DILCE F.; COHEN, MARCELO C. L.; PESSENDA, LUIZ C. R. VEGETATION CHANGE IN SOUTHWESTERN AMAZONIA (BRAZIL) AND RELATIONSHIP TO THE LATE PLEISTOCENE AND HOLOCENE CLIMATE. RADIOCARBON, v. 59, n. 1, p. 69-89, FEB 2017. Web of Science Citations: 6.
CORDEIRO, CARLOS L. O.; ROSSETTI, DILCE F.; GRIBEL, ROGERIO; TUOMISTO, HANNA; ZANI, HIRAN; FERREIRA, CARLOS A. C.; COELHO, LUIZ. Impact of sedimentary processes on white-sand vegetation in an Amazonian megafan. JOURNAL OF TROPICAL ECOLOGY, v. 32, n. 6, p. 498-509, NOV 2016. Web of Science Citations: 8.
CREMON, EDIPO HENRIQUE; ROSSETTI, DILCE DE FATIMA; SAWAKUCHI, ANDRE DE OLIVEIRA; LISBOA COHEN, MARCELO CANCELA. The role of tectonics and climate in the late Quaternary evolution of a northern Amazonian River. Geomorphology, v. 271, p. 22-39, OCT 15 2016. Web of Science Citations: 13.
ROSSETTI, DILCE DE FATIMA; MOLINA, EDER CASSOLA; CREMON, EDIPO HENRIQUE. Genesis of the largest Amazonian wetland in northern Brazil inferred by morphology and gravity anomalies. Journal of South American Earth Sciences, v. 69, p. 1-10, AUG 2016. Web of Science Citations: 6.
ROSSETTI, DILCE F.; COHEN, MARCELO C. L.; TATUMI, SONIA H.; SAWAKUCHI, ANDRE O.; CREMON, EDIPO H.; MITTANI, JUAN C. R.; BERTANI, THIAGO C.; MUNITA, CASIMIRO J. A. S.; TUDELA, DIEGO R. G.; YEE, MARCIO; MOYA, GABRIELA. Mid-Late Pleistocene OSL chronology in western Amazonia and implications for the transcontinental Amazon pathway. SEDIMENTARY GEOLOGY, v. 330, p. 1-15, DEC 2015. Web of Science Citations: 19.
DE OLIVEIRA CORDEIRO, CARLOS LEANDRO; ROSSETTI, DILCE DE FATIMA. Mapping vegetation in a late Quaternary landform of the Amazonian wetlands using object-based image analysis and decision tree classification. International Journal of Remote Sensing, v. 36, n. 13, p. 3397-3422, 2015. Web of Science Citations: 18.
CREMON, EDIPO HENRIQUE; ROSSETTI, DILCE DE FATIMA; ZANI, HIRAN. Classification of Vegetation over a Residual Megafan Landform in the Amazonian Lowland Based on Optical and SAR Imagery. REMOTE SENSING, v. 6, n. 11, p. 10931-10946, NOV 2014. Web of Science Citations: 6.

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