This readme file was generated on 2023-02-01 by Juan A. Blanco

GENERAL INFORMATION

Title of Dataset: MADERA

Principal Investigator Information
Name: Ximena Herrera-Alvarez
ORCID:0000-0001-9493-0038
Institution: Unviersidad Pública de Navarra
Address: Institute for Multidisciplinary Research in Applied Biology-IMAB, Departamento de Ciencias, Universidad Pública de Navarra, Campus de Arrosadía, Pamplona, 31006 Navarra, Spain.
Email: ximena.herrera@unavarra.es

Co-investigator Information
Name: Juan A. Blanco
ORCID:0000-0002-6524-4335
Institution: Universidad Pública de Navarra
Address: Institute for Multidisciplinary Research in Applied Biology-IMAB, Departamento de Ciencias, Universidad Pública de Navarra, Campus de Arrosadía, Pamplona, 31006 Navarra, Spain.
Email: juan.blanco@unavarra.es

Co-investigator Information
Name: Oliver L. Phillips
ORCID:0000-0002-8993-6168
Institution: University of Leeds
Address: School of Geography, University of Leeds, Leeds, United Kingdom.
Email: O.Phillips@leeds.ac.uk

Co-investigator Information
Name: Vicente Guadalupe
ORCID:0000-0002-8993-6168
Institution: Amazon Cooperation Treaty Organization
Address: Amazon Cooperation Treaty Organization, Bioamazon Project, Permanent Secretariat, SEPN 510, Bloco A, 3º andar – Asa Norte – Brasília-DF, Brasil. 
Email: vicente.guadalupe@otca.org

Co-investigator Information
Name: Leonardo D. Ortega – López
ORCID:0000-0002-0819-0721
Institution: Institut Pasteur de la Guyane 
Address: Microbiota of Insect Vectors Group, Institut Pasteur de la Guyane Cayenne, French Guiana. 
Email: lortega@pasteur-cayenne.fr

Co-investigator Information
Name: Hans ter Steege
ORCID:0000-0002-8738-2659
Institution: Naturalis Biodiversity Center
Address: Naturalis Biodiversity Center, Leiden, the Netherlands. 
Email: hans.tersteege@naturalis.nl

Co-investigator Information
Name: Gonzalo Rivas – Torres
ORCID:0000-0002-2704-8288
Institution: Universidad San Francisco de Quito 
Address: Estación de Biodiversidad Tiputini, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito  
Email: grivast@usfq.edu.ec

Date of data collection: 2020-2023

Geographic location of data collection: Amazon Basin, Guyana, French Guiana, Suriname, Venezuela, Colombia, Ecuador, Perú, Bolivia, Brazil

Information about funding sources that supported the collection of the data: Gobierno de Navarra, Universidad Pública de Navarra


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: Creative Commons Atribution 4.0 International

Links to publications that cite or use the data: NA

Links to other publicly accessible locations of the data: NA

Links/relationships to ancillary data sets: NA

Was data derived from another source? Yes
If yes, list source(s): 

Brazilian Forest Service. (2020). Brazilian timber species of commercial interest 2016. Non-published Report. Brasilia, Brazil.

Cardoso, D., Särkinen, T., Alexander, S., Amorim, A. M., Bittrich, V., Celis, M., Daly, D. C., Fiaschi, P., Funk, V. A., Giacomin, L. L., Goldenberg, R., Heiden, G., Iganci, J., Kelloff, C. L., Knapp, S., De Lima, H. C., Machado, A. F. P., Dos Santos, R. M., Mello-Silva, R., … Forzza, R. C. (2017). Amazon plant diversity revealed by a taxonomically verified species list. Proceedings of the National Academy of Sciences of the United States of America, 114(40), 10695–10700. https://doi.org/10.1073/pnas.1706756114

Foundation for Forest Management and Production control. (2020). List of timber species of Suriname 2020. Official information. Non-published report. Paramaribo. Suriname

Gomes, V. H. F., Vieira, I. C. G., Salomão, R. P., & ter Steege, H. (2019). Amazon tree species threatened by deforestation and climate change. Nature Climate Change, 9(7), 547–553. https://doi.org/10.1038/s41558-019-0500-2

IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. In Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change (IPCC, Vol. 9781107025). https://doi.org/10.1017/CBO9781139177245.003.

Ministerio de Agricultura y Riego de Perú. (2020). List of Forest Species. Peruvian official information. Non-published report. Lima. Perú.

Ministerio de Ambiente de Colombia. (2020). Timber species traded according to corporations (CDA and CorpoAmazon) in the Colombian Amazon 2020. Colombian official information. Non-published report. Bogotá. Colombia.

Ministerio de Ambiente del Ecuador. (2020). Timber species from the Ecuadorian amazon authorized for use January 2018 - June 2020. non-published report. Quito. Ecuador.

Ministerio de Ambiente y Agua de Bolivia. (2020). Bolivian official information. Authorized volume for Amazon timber species 2019. Non-published report. La Paz. Bolivia.

Ministerio del Poder Popular para el Ecosocialismo de Venezuela. (2020). Norma Técnica Forestal sobre diámetros mínimos de cortabilidad, 2009. Gaceta oficial de la República Bolivariana de Venezuela. Non-publihsed report. Caracas. Venezuela.

Ter Steege, H., Pitman, N. C. A., Sabatier, D., Baraloto, C., Salomão, R. P., Guevara, J. E., Phillips, O. L., Castilho, C. V., Magnusson, W. E., Molino, J. F., Monteagudo, A., Vargas, P. N., Montero, J. C., Feldpausch, T. R., Coronado, E. N. H., Killeen, T. J., Mostacedo, B., Vasquez, R., Assis, R. L., … Silman, M. R. (2013). Hyperdominance in the Amazon tree flora. Science, 342(6156). https://doi.org/10.1126/science.1243092.

Ter Steege, H., Prado, P. I., Lima, R. A. F. d., Pos, E., de Souza Coelho, L., de Andrade Lima Filho, D., Salomão, R. P., Amaral, I. L., de Almeida Matos, F. D., Castilho, C. V., Phillips, O. L., Guevara, J. E., de Jesus Veiga Carim, M., Cárdenas López, D., Magnusson, W. E., Wittmann, F., Martins, M. P., Sabatier, D., Irume, M. V., … Pickavance, G. (2020). Biased-corrected richness estimates for the Amazon tree flora. Scientific Reports, 10(1), 1–13. https://doi.org/10.1038/s41598-020-66686-3.

The International Tropical Timber Organization. (2014). Información sobre Especies Maderables. Yokohama. Japan.

UNEP-WCMC. (2021). Full CITES Trade Database Download. Version 2021.1. CITES Secretariat, Geneva, Switzerland. Compiled by UNEP-WCMC, Cambridge, UK.


Recommended citation for this dataset: Herrera-Alaverz, Ximena, Blanco, Juan A., Phillips, Oliver L., Guadalupe, Vicente, Ortega-López, Leonardo D., ter Steegem Hans, & Rivas-Torres, Gonzalo (2023). PAN-AMAZON YURA KASPI: a consensus database for neotropical timber species [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7063870

DATA & FILE OVERVIEW

File List: <list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>
MADERA_Herrera_Alvarez_et_al_2023_v1.csv: The full database in comma-separated text format
MADERA_Herrera_Alvarez_et_al_2023_v1.xlsx: The full database in Microsoft Excel format
MADERA_Herrera_Alvarez_et_al_2022_BES.pdf: Presentation of the data base at the British Ecological Society Annual Meeting in Edimburh on December 18th-21st 2023.
MADERA_Herrera_Alvarez_et al_2023_v1_Variables.xlsx: List of variables, definitions, and its units in Microsoft Excel format.

Relationship between files, if important: NA

Additional related data collected that was not included in the current data package: N/A

Are there multiple versions of the dataset?: NA
If yes, name of file(s) that was updated: NA
Why was the file updated? 
When was the file updated? 


METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: We combined data compilation, in this context, data were obtained from National Forest Departments in each Amazon country with bibliographic information related and 1-ha ATDN plots for ecological information. In addition, we included conservation status (IUCN), trade data (ITTO and CITES) and additional information. Regarding the data compilation for this timber species list, during the months of April 2020 and July 2021, we requested information to the National Forest Departments from all the Amazon countries (Bolivia, Peru, Ecuador, Colombia, Venezuela, Guyana, French Guiana, Suriname, and Brazil). The information requested was about the list of Amazon timber species registered in each country. In addition, we included two previous references about timber species partial lists in the Amazon countries to complete this database. In the case of Herrero-Jáuregui et al., (2013), this database manly belongs to the Western Amazon (Bolivia, Peru, Ecuador, Colombia, and Venezuela). On the other hand, we also included data from the Guiana Shield countries (Brazil and French Guiana) and a few Andean countries (Bolivia and Peru) according to the reference published by Piponiot et al., (2019). 
Herrero-Jáuregui, C., Guariguata, M. R., Cárdenas, D., Vilanova, E., Robles, M., Licona, J. C., & Nalvarte, W. (2013). Assessing the extent of “conflict of use” in multipurpose tropical forest trees: A regional view. Journal of Environmental Management, 130, 40–4. https://doi.org/10.1016/j.jenvman.2013.08.044.
Piponiot, C., Rödig, E., Putz, F. E., Rutishauser, E., Sist, P., Ascarrunz, N., Blanc, L., Derroire, G., Descroix, L., Guedes, M. C., Coronado, E. H., Huth, A., Kanashiro, M., Licona, J. C., Mazzei, L., D’Oliveira, M. V. N., Peña-Claros, M., Rodney, K., Shenkin, A., … Hérault, B. (2019). Can timber provision from Amazon production forests be sustainable? Environmental Research Letters, 14(6). https://doi.org/10.1088/1748-9326/ab195e.

Methods for processing the data: All lists of species sent by each country, as well as the species lists from the additional references (Herrero-Jáuregui et al., 2013; and Piponiot et al., 2019) were submitted (input) and verified using the Taxonomic Name Resolution Service (TNRS) package version 0.3.0 (Maitner et al, 2022). This tool allowed us to have standard, up-to-dated taxonomic names from all the sources, including those species that have recently changed their taxonomic status. The taxonomic sources applied within the TNRS tool were taken from Tropicos from the Missouri Botanical Garden (“tropicos”), World Checklist of Vascular Plants (“wcvp”), United States Department of Agriculture (“usda”), and World Flora Online (“wfo”). We used the “Accepted species name” column from the output list of each source as the matching variable to join the different output lists from each of the sources and references. First, a resulting list of 2,861 entries (potentially species names) from the TNRS function was produced, with some non-valid names, synonym species, or duplicated entries from the input data. Then, we eliminated duplicated species between countries and references, not matched, or not found species, and ended up with a total of 1,486 unique species names.Finally, to confirm the Amazon tree species with DBH ≥10 cm, we used the taxonomically and verified list for the lowland Amazon rain forests proposed by Cardoso et al (2017). This list (6,727 species) was also curated with the TNRS package in R to get the standard, up-to-date accepted species names that can be matched to our list. Following the tree species definition proposed by Cardoso et al (2017), we considered as tree to “any seed plant and individual that attained a diameter at breast height (DBH) ≥ 10 cm during their lifetime”. The life forms identified in this list were: tree/shrub, tree, shrub/tree/subshrub, shrub/tree, and palm tree. In this context, the non-Amazon native-tree species (those not considered to be Amazon by Cardoso et al. (2017) with DBH < 10 cm were removed from the 1,486 species list to obtain a final consensus list of Amazonian timber tree species that includes 1,112 species.
Maitner, B., Boyle, B., Efren P. (2022). TNRS:TAxonomic Name REsolution Service. R package version 0.3.0. https://CRAN.R-project.org/package=TNRS

Instrument- or software-specific information needed to interpret the data: N/A

Standards and calibration information, if appropriate: N/A

Environmental/experimental conditions: N/A

Describe any quality-assurance procedures performed on the data: Scientific names checked through TNRS

People involved with sample collection, processing, analysis and/or submission: Contact points at the different ministries of the Amazon basin countries.


DATA-SPECIFIC INFORMATION FOR: MADERA_Herrera_Alvarez_et_al_2023_v1.csv

Number of variables: 31

Number of cases/rows: 1112

Variable identity	Description 	 Variable type 	Unit	Range	Precision
ID	Timber species ID in this study	Text string 	NA	NA	NA
Accepted_species	Species name as verified by TNRS 	Text string 	NA	NA	NA
Accepted_family	Taxonomic family as verified by TNRS	 Text string	NA	NA	NA
Genus_matched	Genus verified name according to TNRS	Text string 	NA	NA	NA
Accepted_name_author	Author of the scientific name according to TNRS 	Text string 	NA	NA	NA
Accepted_name_url	URL of accepted name species according to TNRS 	Text string 	NA	NA	NA
Life_form_Cardoso_et_al_2017	Life forms of these timber species according to Cardoso et al (2017). These species are mainly Amazonian (≤ 1000 masl) and trees ≥ 10 cm DBH. Life forms included: palm tree, shrub/tree, shrub/tree/subshrub, tree, tree/shrub.   	Text string 	NA	NA	NA
Bolivia	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Brazil	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Colombia	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Ecuador	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
French_Guiana	Variable indicating the Amazon country that reportedtimber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Guyana	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Peru	Variable indicating the Amazon country that reportedtimber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Suriname	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Venezuela	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Herrero_Jauregui_et_al_2013	Timber species data included in this study as references. Presence = 1, Absence = 0.	Boolean 	NA	NA	NA
Piponiot_et_al_2019	Timber species data included in this study as references. Presence = 1, Absence = 0.	 Boolean	NA	NA	NA
	Number of total individuals of each species observed across all The Amazon Tree Diversity Network (ATDN) plots. Appendix 3 data 2019 (ter Steege et al., 2020).	Numeric 	individuals	1 - 16101	5
number_individuals_ATDN_plots					
number_plots_ATDN	Number of total plots where the species are present in ATDN plots. Appendix 3 data 2019 (ter Steege et al., 2020).	Numeric 	plots	1 - 932	3
estimated_ind_amazonl	Estimated total number of individuals for each species in the Amazon lowland forest area ≤ 500 masl according to ATDN plots by ter Steege et al (2020), Appendix 3 data 2019.	Numeric  	1-degree	107146 - 4684630963	10
			grid cell (1DGC)		
log10_est_ind_Amazon	log10 of the variable “estimated_ind_amazon” according to ATDN plots by ter Steege et al (2020), Appendix 3 data 2019.	Numeric 	not applicable	5,03 -9,67	3
					
check_hyperdominant_spp	Confirmation if the species is considered as hyperdominant according ter Steege et al (2013), Appendix S1 - species data. Confirmed = 1, 	Boolean 	NA	NA	NA
	Non confirmed = 0.				
Forest_type_IV_max_hyperdominant	Forest type in which the hyperdominant species has the highest Indicator Value (IV-value): Igapó =1, Podzol = 2, Swamp = 3, terra firme = 4, várzea = 5 (ter Steege et al., 2013).   NA= information not available 	Text string 	NA	NA	NA
IV.indcls_hyperdominant	Indicator values for each species based on their frequency and relative abundance in the five forest types: igapó, podzol, swamp, terra firme, and várzea (ter Steege et al., 2013). NA= information not available.  	Numeric	indicator value (IV value)	0.01-0.67	3
check_ITTO_commercial_spp	Confirmation if the species is considered as commercial timber species according to the dataset provided by The International Tropical Timber Organization (2014). Confirmed = 1, Non confirmed = 0.	Boolean 	NA	NA	NA
check_ITTO_LUS_spp	Confirmation if the species is considered as lesser used timber species according to the dataset provided by The International Tropical Timber Organization (2014). Confirmed = 1, Non confirmed = 0.	Boolean 	NA	NA	NA
redlistCategory_IUCN_2022	The International Union for Conservation of Nature (IUCN) Red List categories: Critically Endangered (CR), Endangered (EN), Near Threatened (NT), Vulnerable (VU), Least Concern (LC), Not Evaluated by IUCN (NA), Data Deficient (DD), Lower Risk / conservation dependent (LR/cd), Lower Risk / least concern (LR/lc) and Lower Risk / near threatened (LR/nt). NA= information not available. 	Text string  	NA	NA	NA
yearPublished_IUCN_2022	Year of assessment for each flora species by the International Union for Conservation of Nature (IUCN) Red List category database 2022. NA= information not available.	Text string 	NA	NA	NA
Original_AOO_2050_IGS	IUCN potential Red List categories in this scenario: Combined original AOO (species original area of occupancy) and IGS Deforestation scenario by 2050 (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
Original_AOO_2050_BAU	IUCN potential Red List Categories in this scenario: Combined original AOO (species original area of occupancy) and BAU Deforestation scenario by 2050 (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_2.6	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on RCP 2.6 climate change scenario (Gomes et al., 2019). NA= information not available.	Text string	NA	NA	NA
2050_RCP_8.5	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on RCP 8.5 climate change scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_2.6_2050_IGS	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on the combination between RCP 2.6 climate change scenario and 2050 IGS Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_2.6_2050_BAU	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on the combination between RCP 2.6 climate change scenario and 2050 BAU Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_8.5_2050_IGS 	IUCN potential Red List Categories in this scenario:  AOO (species original area of occupancy) based on the combination between RCP 8.5 climate change scenario and 2050 IGS Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string	NA	NA	NA
2050_RCP_8.5_2050_BAU	IUCN potential Red List Categories in this scenario:  AOO (species original area of occupancy) based on the combination between RCP 8.5 climate change scenario and 2050 BAU Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
Sub_region_AOO	Sub-region with the major part of the species’ estimated AOO (species original area of occupancy): CA: central Amazon, EA: eastern Amazon, GS: Guiana Shield, SA: southern Amazon, WAN: northwestern Amazon, WAS: southwestern Amazon (Gomes et al., 2019). NA= information not available.	Text string	NA	NA	NA
check_CITES	Confirmation if the species is included in the 46 trade databases according to CITES 2022 (UNEP-WCMC, 2021). Confirmed = 1, Non confirmed = 0.	Boolean 	NA	NA	NA
appendix_CITES	Appendix I, Appendix II and Appendix III. See Glossary of terms for more details. NA= information not available.	Text string 	NA	NA	NA


Missing data codes: NA

Specialized formats or other abbreviations used: NA

DATA-SPECIFIC INFORMATION FOR: MADERA_Herrera_Alvarez_et_al_2023_v1.xlsx

Number of variables: 31

Number of cases/rows: 1112

Variable identity	Description 	 Variable type 	Unit	Range	Precision
ID	Timber species ID in this study	Text string 	NA	NA	NA
Accepted_species	Species name as verified by TNRS 	Text string 	NA	NA	NA
Accepted_family	Taxonomic family as verified by TNRS	 Text string	NA	NA	NA
Genus_matched	Genus verified name according to TNRS	Text string 	NA	NA	NA
Accepted_name_author	Author of the scientific name according to TNRS 	Text string 	NA	NA	NA
Accepted_name_url	URL of accepted name species according to TNRS 	Text string 	NA	NA	NA
Life_form_Cardoso_et_al_2017	Life forms of these timber species according to Cardoso et al (2017). These species are mainly Amazonian (≤ 1000 masl) and trees ≥ 10 cm DBH. Life forms included: palm tree, shrub/tree, shrub/tree/subshrub, tree, tree/shrub.   	Text string 	NA	NA	NA
Bolivia	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Brazil	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Colombia	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Ecuador	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
French_Guiana	Variable indicating the Amazon country that reportedtimber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Guyana	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Peru	Variable indicating the Amazon country that reportedtimber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Suriname	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Venezuela	Variable indicating the Amazon country that reported timber species information for this study. See Table 1.  Presence = 1, Absence = 0. 	 Boolean	NA	NA	NA
Herrero_Jauregui_et_al_2013	Timber species data included in this study as references. Presence = 1, Absence = 0.	Boolean 	NA	NA	NA
Piponiot_et_al_2019	Timber species data included in this study as references. Presence = 1, Absence = 0.	 Boolean	NA	NA	NA
	Number of total individuals of each species observed across all The Amazon Tree Diversity Network (ATDN) plots. Appendix 3 data 2019 (ter Steege et al., 2020).	Numeric 	individuals	1 - 16101	5
number_individuals_ATDN_plots					
number_plots_ATDN	Number of total plots where the species are present in ATDN plots. Appendix 3 data 2019 (ter Steege et al., 2020).	Numeric 	plots	1 - 932	3
estimated_ind_amazonl	Estimated total number of individuals for each species in the Amazon lowland forest area ≤ 500 masl according to ATDN plots by ter Steege et al (2020), Appendix 3 data 2019.	Numeric  	1-degree	107146 - 4684630963	10
			grid cell (1DGC)		
log10_est_ind_Amazon	log10 of the variable “estimated_ind_amazon” according to ATDN plots by ter Steege et al (2020), Appendix 3 data 2019.	Numeric 	not applicable	5,03 -9,67	3
					
check_hyperdominant_spp	Confirmation if the species is considered as hyperdominant according ter Steege et al (2013), Appendix S1 - species data. Confirmed = 1, 	Boolean 	NA	NA	NA
	Non confirmed = 0.				
Forest_type_IV_max_hyperdominant	Forest type in which the hyperdominant species has the highest Indicator Value (IV-value): Igapó =1, Podzol = 2, Swamp = 3, terra firme = 4, várzea = 5 (ter Steege et al., 2013).   NA= information not available 	Text string 	NA	NA	NA
IV.indcls_hyperdominant	Indicator values for each species based on their frequency and relative abundance in the five forest types: igapó, podzol, swamp, terra firme, and várzea (ter Steege et al., 2013). NA= information not available.  	Numeric	indicator value (IV value)	0.01-0.67	3
check_ITTO_commercial_spp	Confirmation if the species is considered as commercial timber species according to the dataset provided by The International Tropical Timber Organization (2014). Confirmed = 1, Non confirmed = 0.	Boolean 	NA	NA	NA
check_ITTO_LUS_spp	Confirmation if the species is considered as lesser used timber species according to the dataset provided by The International Tropical Timber Organization (2014). Confirmed = 1, Non confirmed = 0.	Boolean 	NA	NA	NA
redlistCategory_IUCN_2022	The International Union for Conservation of Nature (IUCN) Red List categories: Critically Endangered (CR), Endangered (EN), Near Threatened (NT), Vulnerable (VU), Least Concern (LC), Not Evaluated by IUCN (NA), Data Deficient (DD), Lower Risk / conservation dependent (LR/cd), Lower Risk / least concern (LR/lc) and Lower Risk / near threatened (LR/nt). NA= information not available. 	Text string  	NA	NA	NA
yearPublished_IUCN_2022	Year of assessment for each flora species by the International Union for Conservation of Nature (IUCN) Red List category database 2022. NA= information not available.	Text string 	NA	NA	NA
Original_AOO_2050_IGS	IUCN potential Red List categories in this scenario: Combined original AOO (species original area of occupancy) and IGS Deforestation scenario by 2050 (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
Original_AOO_2050_BAU	IUCN potential Red List Categories in this scenario: Combined original AOO (species original area of occupancy) and BAU Deforestation scenario by 2050 (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_2.6	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on RCP 2.6 climate change scenario (Gomes et al., 2019). NA= information not available.	Text string	NA	NA	NA
2050_RCP_8.5	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on RCP 8.5 climate change scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_2.6_2050_IGS	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on the combination between RCP 2.6 climate change scenario and 2050 IGS Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_2.6_2050_BAU	IUCN potential Red List Categories in this scenario: AOO (species original area of occupancy) based on the combination between RCP 2.6 climate change scenario and 2050 BAU Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
2050_RCP_8.5_2050_IGS 	IUCN potential Red List Categories in this scenario:  AOO (species original area of occupancy) based on the combination between RCP 8.5 climate change scenario and 2050 IGS Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string	NA	NA	NA
2050_RCP_8.5_2050_BAU	IUCN potential Red List Categories in this scenario:  AOO (species original area of occupancy) based on the combination between RCP 8.5 climate change scenario and 2050 BAU Deforestation scenario (Gomes et al., 2019). NA= information not available.	Text string 	NA	NA	NA
Sub_region_AOO	Sub-region with the major part of the species’ estimated AOO (species original area of occupancy): CA: central Amazon, EA: eastern Amazon, GS: Guiana Shield, SA: southern Amazon, WAN: northwestern Amazon, WAS: southwestern Amazon (Gomes et al., 2019). NA= information not available.	Text string	NA	NA	NA
check_CITES	Confirmation if the species is included in the 46 trade databases according to CITES 2022 (UNEP-WCMC, 2021). Confirmed = 1, Non confirmed = 0.	Boolean 	NA	NA	NA
appendix_CITES	Appendix I, Appendix II and Appendix III. See Glossary of terms for more details. NA= information not available.	Text string 	NA	NA	NA


Missing data codes: NA

Specialized formats or other abbreviations used: NA