Avifauna occurrence data from a longitudinal experiment in human-modified Amazonian forests affected by the 2015-16 El Niño drought and associated fires
https://doi.org/10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f
Cite this dataset as:
Lees, A.; Moura, N.; Franca, F.M.; Ferreira, J.N.; Gardner, T.; Berenguer, E.; Chesini, L.; Andertti, C.; Barlow, J. (2018). Avifauna occurrence data from a longitudinal experiment in human-modified Amazonian forests affected by the 2015-16 El Niño drought and associated fires. NERC Environmental Information Data Centre. https://doi.org/10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f
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© Sistema de informação sobre a Biodiversidade Brasileira
© UK Centre for Ecology & Hydrology
This dataset is made available under the terms of the Open Government Licence 
This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects 'Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems' (AFIRE) and 'Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests' (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme.
Publication date: 2018-12-13
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 / UTM zone 21S
Temporal information
Temporal extent
2010-01-01 to 2016-12-31
Provenance & quality
In 2010 and 2016, bird sampling occurred along 300-m forest plots at the same three sampling points (0, 150 and 300m). All bird species seen or heard were recorded through two repetitions of three 15-min, 75-m fixed-width point counts per plot. Surveys were undertaken between 15 min before dawn and 09:30, only in days without persistent rain and/or strong winds. Point counts were recorded with solid-state recorders. Seasonal and temporal variation in bird vocal activity were minimized by systematically rotating repetitions between catchments and study plots. Datasets were processed by tropical bird specialists, and were then transferred to the programme data manager of the HMTF programme.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
Lees, A.; Moura, N.; Franca, F.M.; Ferreira, J.N.; Gardner, T.; Berenguer, E.; Chesini, L.; Andertti, C.; Barlow, J. (2018). Avifauna occurrence data from a longitudinal experiment in human-modified Amazonian forests affected by the 2015-16 El Niño drought and associated fires. NERC Environmental Information Data Centre. https://doi.org/10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f
© Sistema de informação sobre a Biodiversidade Brasileira
© UK Centre for Ecology & Hydrology
Related
This dataset is included in the following collections
Correspondence/contact details
Lees, A.
Manchester Metropolitan University
Division of Biology and Conservation Ecology, School of Science and the Environment
Manchester
UK
Alexander.Lees@mmu.ac.uk
Manchester
UK
Authors
https://orcid.org/0000-0001-7603-9081
Moura, N.
Cornell University
Chesini, L.
Universidade Estadual Paulista 'Júlio de Mesquita Filho'
Andertti, C.
Pontifícia Universidade Católica do Rio Grande do Sul
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems (AFIRE) , Biodiversity , Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests (ECOFOR) , bird , Climate and climate change , drought , fire , Human-Modified Tropical Forest (HTMF) programme
Funding
Natural Environment Research Council Award: NE/K016431/1
Natural Environment Research Council Award: NE/P004512/1
Natural Environment Research Council Award: NE/P004512/1