PADAPT 1.0 – the Pannonian Dataset of Plant Traits

Author:

Sonkoly JuditORCID,Tóth Edina,Balogh Nóra,Balogh Lajos,Bartha Dénes,Csendesné Bata Kinga,Bátori Zoltán,Békefi Nóra,Botta-Dukát Zoltán,Bölöni János,Csecserits AnikóORCID,Csiky János,Csontos Péter,Dancza István,Deák Balázs,Dobolyi Zoltán Konstantin,E-Vojtkó Anna,Gyulai Ferenc,Hábenczyus Alida Anna,Henn Tamás,Horváth FerencORCID,Höhn Mária,Jakab Gusztáv,Kelemen András,Király Gergely,Kis Szabolcs,Kovacsics-Vári Gergely,Kun András,Lehoczky Éva,Lengyel Attila,Lhotsky Barbara,Löki Viktor,Lukács Balázs András,Matus Gábor,McIntosh-Buday Andrea,Mesterházy Attila,Miglécz Tamás,Molnár V Attila,Molnár Zsolt,Morschhauser Tamás,Papp László,Pósa PatríciaORCID,Rédei Tamás,Schmidt Dávid,Szmorad Ferenc,Takács Attila,Tamás Júlia,Tiborcz Viktor,Tölgyesi Csaba,Tóth Katalin,Tóthmérész Béla,Valkó OrsolyaORCID,Virók Viktor,Wirth Tamás,Török PéterORCID

Abstract

AbstractThe existing plant trait databases’ applicability is limited for studies dealing with the flora and vegetation of the eastern and central part of Europe and for large-scale comparisons across regions, mostly because their geographical data coverage is limited and they incorporate records from several different sources, often from regions with markedly different climatic conditions. These problems motivated the compilation of a regional dataset for the flora of the Pannonian region (Eastern Central Europe). PADAPT, the Pannonian Dataset of Plant Traits relies on regional data sources and collates data on 54 traits and attributes of the plant species of the Pannonian region. The current version covers approximately 90% of the species of the region and consists of 126,337 records on 2745 taxa. By including species of the eastern part of Europe not covered by other databases, PADAPT can facilitate studying the flora and vegetation of the eastern part of the continent. Although data coverage is far from complete, PADAPT meets the longstanding need for a regional database of the Pannonian flora.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3