Cite this dataset as
Barker, W.B., Comita, L.S., Wright, S.J., Phillips, O.L., Sedio, B.E., Batterman, S.A. (2022). Herbivory rates, species traits and leaf traits across symbiotic nitrogen-fixing and non-fixing species from a Panamanian tropical forest, 2007-2019. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/67c95112-edee-435f-9355-9d8bab3a5634
Import this citation into your reference management software:
BibTeX | Reference Manager (RIS) | Endnote
This dataset is available under the terms of the Open Government Licence 
Herbivory rates, species traits and leaf traits across symbiotic nitrogen-fixing and non-fixing species from a Panamanian tropical forest, 2007-2019
This dataset contains measurements of herbivory and the potential controls on herbivory for nitrogen-fixing and non-fixing trees in a mature tropical forest of Panama. Data include herbivory measures on 1,626 leaves from 350 seedlings belonging to 43 species, 23 nitrogen-fixing species, 20 non-fixing species. Herbivory metrics are presented at the leaf and seedling level. The data also includes leaf chemical and physical traits hypothesized to influence herbivory at the species level, and seedling-level traits such as stem length and growth rate. Data were collected in 2017 by measuring leaf area missing on seedlings in the BCI 50 ha plot seedling census in order to determine whether fixers have higher rates of herbivory than non-fixers, and what traits govern herbivory. Data were collected by W. Barker, S.J. Wright, L. Comita, B. Sedio and colleagues.
Funders of research generating the data include the Natural Environment Research Council, U.S. National Science Foundation, Leverhulme Trust, British Council, Society of Experimental Biology Company of Biologists, University of Leeds Priestly International Centre for Climate and Smithsonian Tropical Research Institute
Funders of research generating the data include the Natural Environment Research Council, U.S. National Science Foundation, Leverhulme Trust, British Council, Society of Experimental Biology Company of Biologists, University of Leeds Priestly International Centre for Climate and Smithsonian Tropical Research Institute
Publication date: 2022-09-09
View record as
Format
Comma-separated values (CSV)
Spatial information
- Study area
-
- Spatial representation type
- Tabular (text)
- Spatial reference system
- WGS 84
Temporal information
- Temporal extent
-
2017-01-01 to 2019-12-31
Provenance & quality
Leaf herbivory data was collected by W. Barker in the 50 ha plot on Barro Colorado Island (BCI) in 2017 and 2018, using a portable document scanner to scan leaves and the image analysis program ImageJ to quantify leaf area lost to herbivory. Standing herbivory was measured on mature leaves and herbivory rate was measured by following herbivory levels on young leaves over three months.
These leaf and seedling level herbivory measurements were used to predict species level mean herbivory.
The leaf and seedling level herbivory measurements were combined with pre-existing leaf trait data at the species level provided by S. J. Wright, leaf chemical similarity data at the species level provided by B. Sedio and, stem length and growth rate data at the seedling level provided by L. Comita.
These leaf and seedling level herbivory measurements were used to predict species level mean herbivory.
The leaf and seedling level herbivory measurements were combined with pre-existing leaf trait data at the species level provided by S. J. Wright, leaf chemical similarity data at the species level provided by B. Sedio and, stem length and growth rate data at the seedling level provided by L. Comita.
Correspondence/contact details
Authors
https://orcid.org/0000-0002-3095-3940 Other contacts
- Rights holder
-
University of Leeds
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
More information about these numbers
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)