6e70665f-b558-4949-b42a-49fbaec7e7cc 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 2025-11-13T16:19:27 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator Leaf area index (LAI) in fertilised plots in the Central Amazon, 2017-2018 2021-01-26 publication https://catalogue.ceh.ac.uk/id/6e70665f-b558-4949-b42a-49fbaec7e7cc 10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc doi: Cunha, H.F.V., Quesada, C.A., Andersen, K., Hartley, I.P. (2021). Leaf area index (LAI) in fertilised plots in the Central Amazon, 2017-2018. NERC Environmental Information Data Centre 10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc The dataset contains the leaf area index (LAI) (m2/ m2 ) collected with the LAI-2200 C (plant canopy analyzer), that was computed with 5, 4 and 3 rings using the FV2200 software. Additionally, it has the x and y coordinates (m) of the points collected inside the plots and the time of collection (hour: min: sec). This research was collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. The campaigns were carried out in October 2017, March 2018, August 2018 and October 2018. Full details about this dataset can be found at https://doi.org/10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc Cunha, H.F.V. National Institute of Amazonian Researches, Brazil hfcunha.florestal@gmail.com author Quesada, C.A. National Institute of Amazonian Researches, Brazil quesada.beto@gmail.com author Andersen, K. Nanyang Technological University kelly.andersen@ntu.edu.sg https://orcid.org/0000-0002-1460-9904 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 Hartley, I.P. University of Exeter I.Hartley@exeter.ac.uk https://orcid.org/0000-0002-9183-6617 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 Cunha, H.F.V. National Institute of Amazonian Researches, Brazil hfcunha.florestal@gmail.com pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher Central Amazon leaf area index otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions Natural Environment Research Council otherRestrictions If you reuse this data, you should cite: Cunha, H.F.V., Quesada, C.A., Andersen, K., Hartley, I.P. (2021). Leaf area index (LAI) in fertilised plots in the Central Amazon, 2017-2018. NERC Environmental Information Data Centre https://doi.org/10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc textTable 50 English utf8 biota environment 2017-10-01 2018-10-31 -60.346 -58.991 -2.33 -0.907 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/6e70665f-b558-4949-b42a-49fbaec7e7cc.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/6e70665f-b558-4949-b42a-49fbaec7e7cc Download the data Download a copy of this data download 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 The points were collected in 36 points inside the plot with the LAI -2200 C (plant canopy analyzer) . The data were collected from 6 am to 5 pm, avoiding recording data between 12:00 and 2:00 pm, to avoid direct sun. The LAI-2200 C requires an above canopy reading for reference, and in our case the optical sensor was placed in a clearing to log automatically while the user operator collected manually below the canopy. The sensors were always placed in the same compass direction ( both in the west in the morning and east in the afternoon). We used a view cap of 45 °C in the sensors to remove the operator from the sensor’s view. The sensors were matched before the data collection, as recommended in the manual. The row data were analysed using the FV2200 software, where LAI was obtained (m2 one sided foliage area/ m2 ground area), that was computed with 5, 4 and 3 rings, and each ring respond over a different range of zenith angles.