Towards an understanding of tipping points within tropical South American biomes

• Grant number: 13/50169-1
• Support Opportunities: Research Grants - Research Partnership for Technological Innovation - PITE
• Start date: February 01, 2014
• End date: January 31, 2018
• Field of knowledge: Interdisciplinary Subjects
• Agreement: Microsoft Research
• Principal Investigator: Ricardo da Silva Torres
• Grantee: Ricardo da Silva Torres
• Host 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)

Scientific publications

(64)

(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)

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. (10/51307-0, 14/00215-0, 10/52113-5, 13/50155-0, 07/52015-0, 09/18438-7, 13/50169-1)

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. (13/50169-1, 09/18438-7, 10/52113-5, 10/51307-0, 14/00215-0, 13/50155-0)

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. (13/50169-1, 13/08645-0)

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. (13/50169-1, 09/18438-7, 10/52113-5, 16/06441-7, 10/51307-0, 13/08645-0, 14/00215-0, 13/50155-0)

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. (10/51307-0, 14/00215-0, 10/52113-5, 13/50155-0, 07/52015-0, 09/18438-7, 13/50169-1)

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. (13/08645-0, 13/50169-1)

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. (13/08645-0, 13/50169-1)

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. (13/50155-0, 13/08645-0, 13/50169-1)

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. (14/50715-9, 10/51307-0, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 09/18438-7, 13/50169-1)

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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. (14/50715-9, 16/18429-1, 17/20945-0, 13/50155-0, 17/16453-5, 15/24494-8, 14/12236-1, 13/50169-1)

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. (14/50715-9, 16/50250-1, 17/16246-0, 17/20945-0, 14/12236-1, 13/50169-1, 15/11937-9, 17/12646-3, 13/50155-0, 15/24494-8)

HERNANDEZ ALBARRACIN, JUAN FELIPE; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA S.; IEEE. Learning to Combine Spectral Indices with Genetic Programming. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2016-01-01. (13/50169-1, 13/50155-0)

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, p. 11-pg., 2016-11-01. (13/08645-0, 13/50169-1)

UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S.; LINSEN, L; TELEA, A; BRAZ, J. Visualizing Temporal Graphs using Visual Rhythms A Case Study in Soccer Match Analysis. PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 3, v. N/A, p. 12-pg., 2017-01-01. (13/50169-1, 13/50155-0)

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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. (13/50155-0, 12/18768-0, 09/10554-8, 13/50169-1)

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BERNARDINO, PAULO N.; DANTAS, VINICIUS L.; HIROTA, MARINA; PAUSAS, JULI G.; OLIVEIRA, RAFAEL S.. Savanna-Forest Coexistence Across a Fire Gradient. ECOSYSTEMS, JUN 2021. (13/50169-1, 14/06453-0, 14/06100-0, 19/07773-1)

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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, p. 10-pg., 2016-11-01. (14/00215-0, 10/51307-0, 13/50169-1, 10/52113-5, 13/50155-0, 09/18438-7)

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VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO DA SILVA. A genetic programming approach for searching on nearest neighbors graphs. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 16, p. 24-pg., 2022-03-18. (14/12236-1, 17/20945-0, 13/50155-0, 13/50169-1, 17/12646-3, 15/11937-9, 16/50250-1, 15/24494-8, 17/16246-0, 14/50715-9)

GUIMARAES PEDRONETTE, DANIEL CARLOS; TORRES, RICARDO DA S.. A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing, v. 208, p. 14-pg., 2016-10-05. (13/08645-0, 13/50169-1)

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. (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

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. (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)

WERNECK, RAFAEL DE O.; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA S.; BAI, X; HANCOCK, ER; HO, TK; WILSON, RC; BIGGIO, B; ROBLESKELLY, A. Learning Cost Functions for Graph Matching. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2018, v. 11004, p. 10-pg., 2018-01-01. (14/50715-9, 17/20945-0, 14/12236-1, 16/18429-1, 16/50250-1, 13/50169-1, 13/50155-0, 15/24494-8)

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. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

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. (16/50250-1, 15/24494-8, 13/50155-0, 18/15597-6, 13/50169-1, 17/20945-0, 14/12236-1, 17/25908-6, 14/50715-9)

BERNARDINO, PAULO N.; DANTAS, VINICIUS L.; HIROTA, MARINA; PAUSAS, JULI G.; OLIVEIRA, RAFAEL S.. Savanna-Forest Coexistence Across a Fire Gradient. ECOSYSTEMS, v. 25, n. 2, p. 12-pg., 2021-06-07. (13/50169-1, 14/06453-0, 19/07773-1, 14/06100-0)

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. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

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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. (10/52113-5, 13/50155-0, 13/50169-1)

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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. (16/26170-8, 13/50155-0, 09/54208-6, 13/50169-1, 18/06918-3)

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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, p. 11-pg., 2016-10-01. (14/00215-0, 09/18438-7, 10/51307-0, 07/52015-0, 13/50155-0, 13/50169-1, 10/52113-5)

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