| Full text | |
| Author(s): |
Alberton, Bruna
;
Torres, Ricardo da S.
;
Cancian, Leonardo F.
;
Borges, Bruno D.
;
Almeida, Jurandy
;
Mariano, Greice C.
;
dos Santos, Jefersson
;
Cerdeira Morellatoa, Leonor Patricia
Total Authors: 8
|
| Document type: | Journal article |
| Source: | PERSPECTIVES IN ECOLOGY AND CONSERVATION; v. 15, n. 2, p. 82-90, APR-JUN 2017. |
| Web of Science Citations: | 15 |
| Abstract | |
The application of digital cameras to monitor the environment is becoming global and changing the way of phenological data collection. The technique of repeated digital photographs to monitor plant phenology (phenocams) has increased due to its low-cost investment, reduced size, easy set up installation, and the possibility of handling high-resolution near-remote data. Considering the widespread use of phenocams worldwide, our main goals here are: (i) to provide a step-by-step guide for phenocam setup in the tropics, reinforce its appliance as an efficient tool for monitoring tropical phenology and foster networking, (ii) to discuss phenocam applications for biological conservation, management, and ecological restoration. We provide the concepts and properties for image analysis which allow representing the phenological status of the vegetation. The association of a long-term imagery data with local sensors (e.g., meteorological stations and surface-atmosphere flux towers) allows a wide range of studies, especially linking phenological patterns to climatic drivers; and the impact of climate changes on plant responses. We show phenocams applications for conservation as to document disturbances and changes on vegetation structure, such as deforestation, fire events, and flooding and the vegetation recovery. Networks of phenocams are growing globally and represent an important tool for conservation and restoration, as it provides hourly to daily information of monitored systems spread over several sites, ecosystems, and climatic zones. Moreover, websites enriched by vegetation dynamic imagery data can promote science knowledge by engaging citizen science participation. (C) 2017 Associacao Brasileira de Ciencia Ecologica e Conservacao. Published by Elsevier Editora Ltda. (AU) | |
| FAPESP's process: | 10/51307-0 - Floristic diversity and seasonal patterns of rupestrian fields and cerrado |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support type: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 16/01413-5 - Using leaf phenology patterns to investigate net ecosystem exchange controls in tropical vegetations |
| Grantee: | Bruna de Costa Alberton |
| Support type: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 14/00215-0 - Remote phenology and leaf exchange patterns towards a sazonality gradient |
| Grantee: | Bruna de Costa Alberton |
| Support type: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 09/18438-7 - Large-scale classification and retrieval for complex data |
| Grantee: | Ricardo da Silva Torres |
| Support type: | Regular Research Grants |
| FAPESP's process: | 16/06441-7 - Semantic information retrieval in large video databases |
| Grantee: | Jurandy Gomes de Almeida Junior |
| Support type: | Regular Research Grants |
| FAPESP's process: | 07/52015-0 - Approximation methods for visual computing |
| Grantee: | Jorge Stolfi |
| Support type: | Research Projects - Thematic Grants |
| FAPESP's process: | 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support type: | Research Program on Global Climate Change - University-Industry Cooperative Research (PITE) |
| FAPESP's process: | 10/52113-5 - e-phenology: the application of new technologies to monitor plant phenology and track climate changes in the tropics |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support type: | Research Program on Global Climate Change - Regular Grants |
| FAPESP's process: | 14/13354-8 - Phenology at the landscape scale: image collection and processing using unmanned aerial vehicle (UAV) |
| Grantee: | Leonardo Farage Cancian |
| Support type: | Scholarships in Brazil - Technical Training Program - Technical Training |