67c95112-edee-435f-9355-9d8bab3a5634 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:15:02 UK GEMINI 2.3 WGS 84 Herbivory rates, species traits and leaf traits across symbiotic nitrogen-fixing and non-fixing species from a Panamanian tropical forest, 2007-2019 2022-09-09 publication https://catalogue.ceh.ac.uk/id/67c95112-edee-435f-9355-9d8bab3a5634 10.5285/67c95112-edee-435f-9355-9d8bab3a5634 doi: 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 10.5285/67c95112-edee-435f-9355-9d8bab3a5634 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 Full details about this dataset can be found at https://doi.org/10.5285/67c95112-edee-435f-9355-9d8bab3a5634 Barker, W.B. University of Leeds Will.rhys.barker@outlook.com https://orcid.org/0000-0002-3095-3940 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Comita, L.S. Yale University Liza.comita@yale.edu https://orcid.org/0000-0002-9169-1331 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wright, S.J. Smithsonian Tropical Research Institute wrightj@si.edu https://orcid.org/0000-0003-4260-5676 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Phillips, O.L. University of Leeds O.L.phillips@leeds.ac.uk https://orcid.org/0000-0002-8993-6168 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Sedio, B.E. University of Texas at Austin briansedio@gmail.com https://orcid.org/0000-0002-1723-9822 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Batterman, S.A. University of Leeds S.A.batterman@leeds.ac.uk https://orcid.org/0000-0002-7703-9873 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Batterman, S. University of Leeds S.A.batterman@leeds.ac.uk pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Leeds S.A.batterman@leeds.ac.uk owner ecology biogeochemistry nitrogen fixation tropical forest leaf GEMET - Concepts, version 4.1.3 2019-01-28 creation Fixer Herbivory Panama Leaf traits otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: 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 https://doi.org/10.5285/67c95112-edee-435f-9355-9d8bab3a5634 textTable 10000 English utf8 environment 2017-01-01 2019-12-31 -79.881 -79.809 9.135 9.177 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/67c95112-edee-435f-9355-9d8bab3a5634 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/67c95112-edee-435f-9355-9d8bab3a5634.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.