Dataset of Proportion of non-native plants in urban parks correlates with climate, socioeconomic factors and plant traits

Main Authors: Bayón, Álvaro, Godoy, Oscar, Maurel, Noëlie, van Kleunen, Mark, Vilà, Montserrat
Format: info dataset eJournal
Terbitan: , 2020
Subjects:
Online Access: https://zenodo.org/record/4095422
ctrlnum 4095422
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Bay&#xF3;n, &#xC1;lvaro</creator><creator>Godoy, Oscar</creator><creator>Maurel, No&#xEB;lie</creator><creator>van Kleunen, Mark</creator><creator>Vil&#xE0;, Montserrat</creator><date>2020-10-16</date><description>Full datasets for the research entitled 'Proportion of non-native plants in urban parks correlates with climate, socioeconomic factors and plant traits'.</description><description>This study was partially funded by the project of the Spanish Ministerio de Ciencia, Innovaci&#xF3;n y Universidades EXARBIN (RTI2018-093504-B-100), and supported by the TRY initiative on plant traits (http://www.try-db.org ; request 3024). The TRY initiative and database is hosted, developed and maintained by J. Kattge and G. B&#xF6;nisch (Max Planck Institute for Biogeochemistry, Jena, Germany). TRY is currently supported by DIVERSITAS/Future Earth and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. AB had a Predoctoral Contract for the Training of Doctors 2015 awarded by the Ministerio de Ciencia, Innovaci&#xF3;n y Universidades of Spain, and co-financed by the European Social Fund (BES-2015-072929). OG acknowledges financial support by the Spanish Ministry of Economy and Competitiveness (MINECO) and by the European Social Fund through the Ram&#xF3;n y Cajal Programme (RYC-2017-23666). Authors thank M. Mu&#xF1;oz for her contribution in completing the traits database, and C. Penone for her advice regarding the MissForest data imputation. We also thank P. Castro-D&#xED;ez and F. Essl for comments on previous versions of the manuscript, and J. Arroyo for tutoring the thesis project at the University of Sevilla.</description><identifier>https://zenodo.org/record/4095422</identifier><identifier>10.5281/zenodo.4095422</identifier><identifier>oai:zenodo.org:4095422</identifier><relation>doi:10.5281/zenodo.4095421</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Hardiness</subject><subject>Invasive species</subject><subject>Ornamental plants</subject><subject>Plant trait profile</subject><title>Dataset of Proportion of non-native plants in urban parks correlates with climate, socioeconomic factors and plant traits</title><type>Other:info:eu-repo/semantics/other</type><type>Other:dataset</type><recordID>4095422</recordID></dc>
format Other:info:eu-repo/semantics/other
Other
Other:dataset
Journal:eJournal
Journal
author Bayón, Álvaro
Godoy, Oscar
Maurel, Noëlie
van Kleunen, Mark
Vilà, Montserrat
title Dataset of Proportion of non-native plants in urban parks correlates with climate, socioeconomic factors and plant traits
publishDate 2020
topic Hardiness
Invasive species
Ornamental plants
Plant trait profile
url https://zenodo.org/record/4095422
contents Full datasets for the research entitled 'Proportion of non-native plants in urban parks correlates with climate, socioeconomic factors and plant traits'.
This study was partially funded by the project of the Spanish Ministerio de Ciencia, Innovación y Universidades EXARBIN (RTI2018-093504-B-100), and supported by the TRY initiative on plant traits (http://www.try-db.org ; request 3024). The TRY initiative and database is hosted, developed and maintained by J. Kattge and G. Bönisch (Max Planck Institute for Biogeochemistry, Jena, Germany). TRY is currently supported by DIVERSITAS/Future Earth and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. AB had a Predoctoral Contract for the Training of Doctors 2015 awarded by the Ministerio de Ciencia, Innovación y Universidades of Spain, and co-financed by the European Social Fund (BES-2015-072929). OG acknowledges financial support by the Spanish Ministry of Economy and Competitiveness (MINECO) and by the European Social Fund through the Ramón y Cajal Programme (RYC-2017-23666). Authors thank M. Muñoz for her contribution in completing the traits database, and C. Penone for her advice regarding the MissForest data imputation. We also thank P. Castro-Díez and F. Essl for comments on previous versions of the manuscript, and J. Arroyo for tutoring the thesis project at the University of Sevilla.
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