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Towards an understanding of tipping points within tropical South American biomes

Grant number: 13/50169-1
Support type:Research Grants - Research Partnership for Technological Innovation - PITE
Duration: February 01, 2014 - January 31, 2018
Field of knowledge:Interdisciplinary Subjects
Cooperation agreement: Microsoft Research
Principal researcher:Ricardo da Silva Torres
Grantee:Ricardo da Silva Torres
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
City: Campinas
Partner institutions: Microsoft
Pesquisadores principais:
Rafael Silva Oliveira
Associated scholarship(s):15/02105-0 - Identifying temporal changes in tropical South American vegetation: a breakpoint detection approach, BP.MS
14/06100-0 - Ecological processes driving biome boundary transitions in a multi- scale perspective, BP.MS
14/06453-0 - Towards an understanding of tipping points within tropical South American biomes, BP.PD

Abstract

Terrestrial ecosystems are currently undergoing unprecedented climate and human-induced disturbances, which are likely to push these systems towards changes in their physiognomies, structure, and functioning. It has been hypothesized that these new configurations may be alternative states of systems comprising vegetation-climate-disturbance interactions. The majority of the studies reporting ecosystem switches consider vegetation-climate-disturbance systems confined to certain spatial scales (local to continental) without accounting for multi-scale interactions and are unable to detect out-of-range changes and/or regime shifts in vegetation due to difficulties in collecting sufficiently long time series to define standard behavior of the system. In this context, we propose to investigate novel machine learning and image processing techniques aiming to support the use of multi-scale ecological knowledge in the analysis of vegetation-climate-disturbance systems. We also propose the use of the theory of dynamical complex systems as a novel way of filling up the gaps in evaluating ecosystem transitions, transients, and alternative states under imminent land use and climate change scenarios. (AU)

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Scientific publications (38)
(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)
BERNARDINO, PAULO N.; DANTAS, VINICIUS L.; HIROTA, MARINA; PAUSAS, JULI G.; OLIVEIRA, RAFAEL S. Savanna-Forest Coexistence Across a Fire Gradient. ECOSYSTEMS, JUN 2021. Web of Science Citations: 0.
GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, MAR 2021. Web of Science Citations: 0.
PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10 FEB 2021. Web of Science Citations: 0.
ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14 JUL 2020. Web of Science Citations: 0.
FADEL, SAMUEL G.; TORRES, RICARDO DA S. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36 JUL 2020. Web of Science Citations: 0.
GUEVARA, JUDY C.; TORRES, RICARDO DA S.; DA FONSECA, NELSON L. S. On the classification of fog computing applications: A machine learning perspective. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, JUN 1 2020. Web of Science Citations: 0.
PISANI, FLAVIA; PASCOTTI VALEM, LUCAS; GUIMARAES PEDRONETTE, DANIEL CARLOS; DA S. TORRES, RICARDO; BORIN, EDSON; BRETERNITZ, MAURICIO. A unified model for accelerating unsupervised iterative re-ranking algorithms. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 32, n. 14 MAR 2020. Web of Science Citations: 0.
WERNECK, RAFAEL DE OLIVEIRA; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA SILVA. Learning cost function for graph classification with open-set methods. PATTERN RECOGNITION LETTERS, v. 128, p. 8-15, DEC 1 2019. Web of Science Citations: 1.
MUNOZ, JAVIER VARGAS; GONCALVES, MARCOS A.; DIAS, ZANONI; TORRES, RICARDO DA S. Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, DEC 2019. Web of Science Citations: 0.
FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. Web of Science Citations: 0.
NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; MENINI, NATHALIA; SILVA, THIAGO S. F.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 10, p. 1665-1669, OCT 2019. Web of Science Citations: 0.
UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, MAY 2019. Web of Science Citations: 0.
CIEMER, CATRIN; BOERS, NIKLAS; HIROTA, MARINA; KURTHS, JUERGEN; MUELLER-HANSEN, FINN; OLIVEIRA, RAFAEL S.; WINKELMANN, RICARDA. Higher resilience to climatic disturbances in tropical vegetation exposed to more variable rainfall. NATURE GEOSCIENCE, v. 12, n. 3, p. 174+, MAR 2019. Web of Science Citations: 5.
MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; DOS SANTOS, JEFERSSON A.; PEDRINI, HELIO; HIROTA, MARINA; TORRES, RICARDO DA S. A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 2, p. 320-324, FEB 2019. Web of Science Citations: 1.
ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. Web of Science Citations: 0.
NOGUEIRA, KEILLER; FADEL, SAMUEL G.; DOURADO, ICARO C.; WERNECK, RAFAEL DE O.; MUNOZ, V, JAVIER A.; PENATTI, OTAVIO A. B.; CALUMBY, RODRIGO T.; LI, LIN TZY; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S. Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, v. 15, n. 9, p. 1446-1450, SEP 2018. Web of Science Citations: 8.
MARIANO, GREICE C.; STAGGEMEIER, VANESSA G.; CERDEIRA MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. ECOLOGICAL INFORMATICS, v. 46, p. 19-35, JUL 2018. Web of Science Citations: 2.
LI, YUANZHI; SHIPLEY, BILL; PRICE, JODI N.; DANTAS, VINICIUS DE L.; TAMME, RIIN; WESTOBY, MARK; SIEFERT, ANDREW; SCHAMP, BRANDON S.; SPASOJEVIC, MARKO J.; JUNG, VINCENT; LAUGHLIN, DANIEL C.; RICHARDSON, SARAH J.; LE BAGOUSSE-PINGUET, YOANN; SCHOB, CHRISTIAN; GAZOL, ANTONIO; PRENTICE, HONOR C.; GROSS, NICOLAS; OVERTON, JAKE; CIANCIARUSO, MARCUS V.; LOUAULT, FREDERIQUE; KAMIYAMA, CHIHO; NAKASHIZUKA, TOHRU; HIKOSAKA, KOUKI; SASAKI, TAKEHIRO; KATABUCHI, MASATOSHI; DUSSAULT, CEDRIC FRENETTE; GAUCHERAND, STEPHANIE; CHEN, NING; VANDEWALLE, MARIE; BATALHA, MARCO ANTONIO. Habitat filtering determines the functional niche occupancy of plant communities worldwide. JOURNAL OF ECOLOGY, v. 106, n. 3, p. 1001-1009, MAY 2018. Web of Science Citations: 12.
PEREIRA, LUIS A. M.; TORRES, RICARDO DA SILVA. Semi-supervised transfer subspace for domain adaptation. PATTERN RECOGNITION, v. 75, n. SI, p. 235-249, MAR 2018. Web of Science Citations: 12.
SILVA, FERNANDA B.; WERNECK, RAFAEL DE O.; GOLDENSTEIN, SIOME; TABBONE, SALVATORE; TORRES, RICARDO DA S. Graph-based bag-of-words for classification. PATTERN RECOGNITION, v. 74, p. 266-285, FEB 2018. Web of Science Citations: 16.
WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; MENDES JUNIOR, PEDRO RIBEIRO; BIZETTO PENATTI, OTAVIO AUGUSTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 78, n. 1, p. 59-76, JAN 2018. Web of Science Citations: 1.
CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. Web of Science Citations: 3.
GUIMARAES PEDRONETTE, DANIEL CARLOS; TORRES, RICARDO DA S. Unsupervised rank diffusion for content-based image retrieval. Neurocomputing, v. 260, p. 478-489, OCT 18 2017. Web of Science Citations: 0.
CALUMBY, RODRIGO TRIPODI; GONCALVES, MARCOS ANDRE; TORRES, RICARDO DA SILVA. Diversity-based interactive learning meets multimodality. Neurocomputing, v. 259, n. SI, p. 159-175, OCT 11 2017. Web of Science Citations: 3.
ALMEIDA, ALEXANDRE E.; TORRES, RICARDO DA S. Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions. IEEE Geoscience and Remote Sensing Letters, v. 14, n. 9, p. 1499-1503, SEP 2017. Web of Science Citations: 3.
DOS SANTOS, JOYCE MIRANDA; DE MOURA, EDLENO SILVA; DA SILVA, ALTIGRAN SOARES; TORRES, RICARDO DA SILVA. Color and texture applied to a signature-based bag of visual words method for image retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 76, n. 15, p. 16855-16872, AUG 2017. Web of Science Citations: 6.
MENDES JUNIOR, PEDRO R.; DE SOUZA, ROBERTO M.; WERNECK, RAFAEL DE O.; STEIN, BERNARDO V.; PAZINATO, DANIEL V.; DE ALMEIDA, WALDIR R.; PENATTI, OTAVIO A. B.; TORRES, RICARDO DA S.; ROCHA, ANDERSON. Nearest neighbors distance ratio open-set classifier. MACHINE LEARNING, v. 106, n. 3, p. 359-386, MAR 2017. Web of Science Citations: 8.
LEITE, ROGER A.; SCHNORR, LUCAS MELLO; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.; COMBA, JOAO L. D. PhenoVis - A tool for visual phenological analysis of digital camera images using chronological percentage maps. INFORMATION SCIENCES, v. 372, p. 181-195, DEC 1 2016. Web of Science Citations: 4.
ALMEIDA, JURANDY; PEDRONETTE, DANIEL C. G.; ALBERTON, BRUNA C.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Unsupervised Distance Learning for Plant Species Identification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, 1, SI, p. 5325-5338, DEC 2016. Web of Science Citations: 4.
FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Fusion of time series representations for plant recognition in phenology studies. PATTERN RECOGNITION LETTERS, v. 83, n. 2, p. 205-214, NOV 1 2016. Web of Science Citations: 7.
GUIMARAES PEDRONETTE, DANIEL CARLOS; ALMEIDA, JURANDY; TORRES, RICARDO DA S. A graph-based ranked-list model for unsupervised distance learning on shape retrieval. PATTERN RECOGNITION LETTERS, v. 83, n. 3, p. 357-367, NOV 1 2016. Web of Science Citations: 5.
GUIMARAES PEDRONETTE, DANIEL CARLOS; TORRES, RICARDO DA S. A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing, v. 208, n. SI, p. 66-79, OCT 5 2016. Web of Science Citations: 9.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Phenological visual rhythms: Compact representations for fine-grained plant species identification. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 90-100, OCT 1 2016. Web of Science Citations: 13.
DANTAS, VINICIUS DE L.; HIROTA, MARINA; OLIVEIRA, RAFAEL S.; PAUSAS, JULI G. Disturbance maintains alternative biome states. ECOLOGY LETTERS, v. 19, n. 1, p. 12-19, JAN 2016. Web of Science Citations: 70.
SIEFERT, ANDREW; VIOLLE, CYRILLE; CHALMANDRIER, LOIC; ALBERT, CECILE H.; TAUDIERE, ADRIEN; FAJARDO, ALEX; AARSSEN, LONNIE W.; BARALOTO, CHRISTOPHER; CARLUCCI, MARCOS B.; CIANCIARUSO, MARCUS V.; DANTAS, VINICIUS DE L.; DE BELLO, FRANCESCO; DUARTE, LEANDRO D. S.; FONSECA, CARLOS R.; FRESCHET, GREGOIRE T.; GAUCHERAND, STEPHANIE; GROSS, NICOLAS; HIKOSAKA, KOUKI; JACKSON, BENJAMIN; JUNG, VINCENT; KAMIYAMA, CHIHO; KATABUCHI, MASATOSHI; KEMBEL, STEVEN W.; KICHENIN, EMILIE; KRAFT, NATHAN J. B.; LAGERSTROM, ANNA; LE BAGOUSSE-PINGUET, YOANN; LI, YUANZHI; MASON, NORMAN; MESSIER, JULIE; NAKASHIZUKA, TOHRU; MCC OVERTON, JACOB; PELTZER, DUANE A.; PEREZ-RAMOS, I. M.; PILLAR, VALERIO D.; PRENTICE, HONOR C.; RICHARDSON, SARAH; SASAKI, TAKEHIRO; SCHAMP, BRANDON S.; SCHOEB, CHRISTIAN; SHIPLEY, BILL; SUNDQVIST, MAJA; SYKES, MARTIN T.; VANDEWALLE, MARIE; WARDLE, DAVID A. A global meta-analysis of the relative extent of intraspecific trait variation in plant communities. ECOLOGY LETTERS, v. 18, n. 12, p. 1406-1419, DEC 2015. Web of Science Citations: 215.
GUIMARAES PEDRONETTE, DANIEL CARLOS; CALUMBY, RODRIGO T.; TORRES, RICARDO DA S. A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, AUG 10 2015. Web of Science Citations: 4.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; MIRANDA, WANER O.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Deriving vegetation indices for phenology analysis using genetic programming. ECOLOGICAL INFORMATICS, v. 26, n. 3, p. 61-69, MAR 2015. Web of Science Citations: 11.
DOS SANTOS, JEFERSSON A.; PENATTI, OTAVIO A. B.; GOSSELIN, PHILIPPE-HENRI; FALCAO, ALEXANDRE X.; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S. Efficient and Effective Hierarchical Feature Propagation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 7, n. 12, SI, p. 4632-4643, DEC 2014. Web of Science Citations: 10.

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