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Seedlings leaf loss by herbivory in a fertilized forest in Central Amazonia (2019 - 2020)

Publisher
Environmental Information Data Centre
Updated
30 July 2026
Topic
Not set
Licence
Not set

Summary

Data are presented showing for individual seedling, herbivory damage at the leaf level; galls, pathogens, trail herbivory presence/absence qualitative data; and leaf mortality. Data were collected in each leaf from a plot based fertilisation experiment. The experiment was carried out at the Biological Dynamics of Forest Fragments Project (BDFFP) approximately 100 km north of Manaus. Data were collected bimonthly from February 2019 to January 2020, by the dataset first author. Leaf loss in percentage was made using the choice for direct visual estimate. We also followed the recommendations proposed by the authors, sectoring the leaves with a millimetre grid, improving measurement accuracy. The presence of Galls, pathogens and trail herbivory presence/absence qualitative data were also collected in each leaf. The work was carried out as part of the Amazon Fertilization Experiment (AFEX), funded by the Natural Environment Research Council (NERC), Award reference NE/L007223/1, the Brazilian government (Researcher scholarship) and the Biological Dynamics of Forest Fragments Project (BDFFP - logistical support and camps maintenance). Full details about this dataset can be found at https://doi.org/10.5285/2b8029ff-ddf5-47b2-9231-5fa0cbb6cd41

Data links

Link Format Preview Updated
Supporting information ZIP 30/7/2026
Download the data 30/7/2026

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Additional information

Source Metadata
XML, HTML
Date added
24 July 2026
Harvest GUID
2b8029ff-ddf5-47b2-9231-5fa0cbb6cd41
Extent (Latitude)
-2.35° to -2.554°
Extent (Longitude)
-59.973° to -59.691°
Dataset reference date (publication)
2020-04-27
Dataset reference date (creation)
2020-01-31
Frequency of update
notPlanned
Access constraints
©National Institute of Amazonian Research
Responsible party
(author, pointOfContact, publisher, custodian)
ISO 19139 resource type
dataset
Metadata language
eng