Stem respiration in human-modified forests of Eastern Amazonia

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https://doi.org/10.5285/4826f7c3-d6f2-47e5-8dda-c084e54720f6

This dataset includes measurements of stem respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from June 2015 until July 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires.

Publication date: 2019-01-30

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Format

Comma-separated values (CSV)

Spatial information

Study area

Spatial representation type

Tabular (text)

Spatial reference system

WGS 84

Temporal information

Temporal extent

2015-01-01 to 2018-10-31

Provenance & quality

We measured stem respiration in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.

We installed stem collars in at least 13 trees per plot. These were installed 20 cm above dendrometers on trees stratified in five DBH classes: 10-19.99 cm, 20-29.99 cm, 30-39.99 cm, 40-49.99, and ≥50 cm. Collars were made out of PVC and had approximately 5 cm height and 10 cm diameter. The collar was connected to an infrared gas analyser (EGM5®) to measure the stem CO2 efflux (i.e. stem respiration). Measures were taken every 3 months.

Licensing and constraints

This dataset is made available under the terms of the Open Government Licence

Cite this dataset as:

Berenguer, E.; Rossi, L.C.; Seixas, M.M.M.; Barlow, J. (2019). Stem respiration in human-modified forests of Eastern Amazonia . NERC Environmental Information Data Centre. https://doi.org/10.5285/4826f7c3-d6f2-47e5-8dda-c084e54720f6

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