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Entree

Towards an understanding of tipping points within tropical South American biomes

Processo: 13/50169-1
Linha de fomento:Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE
Vigência: 01 de fevereiro de 2014 - 31 de janeiro de 2018
Área do conhecimento:Interdisciplinar
Convênio/Acordo: Microsoft Research
Pesquisador responsável:Ricardo da Silva Torres
Beneficiário:Ricardo da Silva Torres
Instituição-sede: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas, SP, Brasil
Empresa: Microsoft
Pesquisadores principais:Rafael Silva Oliveira
Bolsa(s) vinculada(s):15/02105-0 - Identificando mudanças temporais na vegetação tropical sul-americana: uma abordagem via detecção de ponto de parada, BP.MS
14/06100-0 - Processos ecológicos levando a transições de fronteiras de biomas numa perspectiva multi-escala, BP.MS
14/06453-0 - Towards an understanding of tipping points within tropical South American biomes, BP.PD
Assunto(s):Ecossistema tropical  América do Sul  Aprendizado computacional  Sistemas dinâmicos  Análise multinível 

Resumo

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)

Matéria(s) publicada(s) na Revista Pesquisa FAPESP sobre o auxílio:
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Publicações científicas (26)
(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)
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. Citações Web of Science: 0.
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. Citações Web of Science: 0.
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. Citações Web of Science: 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. Citações Web of Science: 1.
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. Citações Web of Science: 0.
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. Citações Web of Science: 6.
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. Citações Web of Science: 7.
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. Citações Web of Science: 6.
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. Citações Web of Science: 0.
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. Citações Web of Science: 0.
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. Citações Web of Science: 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. Citações Web of Science: 2.
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. Citações Web of Science: 1.
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. Citações Web of Science: 2.
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. Citações Web of Science: 6.
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. Citações Web of Science: 2.
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. Citações Web of Science: 3.
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. Citações Web of Science: 6.
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. Citações Web of Science: 3.
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. Citações Web of Science: 6.
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. Citações Web of Science: 11.
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. Citações Web of Science: 59.
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. Citações Web of Science: 184.
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. Citações Web of Science: 3.
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. Citações Web of Science: 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. Citações Web of Science: 9.

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