Seed dispersal distance classes and dispersal modes for the European flora

Author:

Lososová Zdeňka1ORCID,Axmanová Irena1ORCID,Chytrý Milan1ORCID,Midolo Gabriele1ORCID,Abdulhak Sylvain2ORCID,Karger Dirk Nikolaus3ORCID,Renaud Julien4ORCID,Van Es Jérémie2,Vittoz Pascal5ORCID,Thuiller Wilfried4ORCID

Affiliation:

1. Department of Botany and Zoology, Faculty of Science Masaryk University Brno Czech Republic

2. Alpine National Botanical Conservatory Gap France

3. Swiss Federal Research Institute for Forest, Snow, and Landscape Research Birmensdorf Switzerland

4. Laboratory of Alpine Ecology University of Grenoble Alpes Grenoble France

5. Institute of Earth Surface Dynamics, Faculty of Geosciences and Environment University of Lausanne Lausanne Switzerland

Abstract

AbstractMotivationAlthough dispersal ability is one of the key features determining the spatial dynamics of plant populations and the structure of plant communities, it is also one of the traits for which we still lack data for most species. We compiled a comprehensive dataset of seed dispersal distance classes and predominant dispersal modes for most European vascular plants. Our seed dispersal dataset can be used in functional biogeography, dynamic vegetation modelling and ecological studies at local to continental scales.Main Types of Variables ContainedSpecies were classified into seven ordered classes with similar dispersal distances estimated based on the predominant dispersal mode, the morphology of dispersal units (diaspores or propagules), life form, plant height, seed mass, habitat and known dispersal by humans. We evaluated our results by comparing them with dispersal distances calculated using the ‘dispeRsal’ function in R.Spatial LocationEurope.Time PeriodPresent.Major Taxa and Level of MeasurementThe seed dispersal dataset contains information on dispersal distance classes and the predominant dispersal mode for 10,327 most frequent and locally dominant European vascular plant species.Software FormatData are available in .csv format.

Funder

Agence Nationale de la Recherche

Technology Agency of the Czech Republic

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,Global and Planetary Change

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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