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Global endemics-area relationships of vascular plants

Title data

Hobohm, Carsten ; Janisova, Monika ; Steinbauer, Manuel ; Landi, Sara ; Field, Richard ; Vanderplank, Sula ; Beierkuhnlein, Carl ; Grytnes, John-Arvid ; Vetaas, Ole Reidar ; Fidelis, Alessandra ; de Nascimento, Lea ; Clark, Vincent Ralph ; Fernandez-Palacios, Jose Maria ; Franklin, Scott ; Guarino, Riccardo ; Huang, Jihong ; Krestoy, Pavel ; Ma, Keping ; Onipchenko, Vladimir ; Palmer, Mike W. ; Simon, Marcelo Fragomeni ; Stolz, Christian ; Chiarucci, Alessandro:
Global endemics-area relationships of vascular plants.
In: Perspectives in Ecology and Conservation. Vol. 17 (April 2019) Issue 2 . - pp. 41-49.
ISSN 2530-0644
DOI: https://doi.org/10.1016/j.pecon.2019.04.002

Abstract in another language

Endemics-Area Relationships (EARs) are fundamental in theoretical and applied biogeography for understanding distribution patterns and promoting biodiversity conservation. However, calculating EARs for vascular plant species from existing data is problematic because of biased knowledge of endemic species distributions and differences between taxonomies. We aimed to overcome these challenges by developing a new standardized global dataset based on expert knowledge to produce a set of global EARs. We developed a nested circle design, with grain sizes of 10(4), 10(5), 10(6), 10(7), and 10(8) km(2), respectively, and a global distribution of plots based on a stratified random scheme. The number of vascular plant species endemic to each circle was then estimated independently by five experts randomly chosen from a pool of 23, as both a minimum and a maximum value (lower and upper bounds of the estimation), taking into account the limitations of current knowledge and varied species concepts in existing taxonomies. This procedure resulted in a dataset of 3000 expert estimates. Based on the data, we produced three global EARs for endemic species richness using minimum, maximum and average estimates.As a validation, we used all three models to extrapolate to the entire world, producing estimates of 284,493 (minimum), 398,364 (maximum) and 312,243 (average) vascular plant species. These figures conform to the range of taxonomists' estimates. From the models, we calculated the average area needed to harbour a single endemic species as 12,875 km(2) (range 9675-20,529). The global vascular plant EARs we calculated represent the first standardized, quantitative expectations of plant endemism at any given scale (sampling unit size). These EARs allow us to provide a clear answer to a long-standing but elusive biogeographical question: how to assess whether any area on the surface of the Earth is rich or poor in endemics relative to the average. Crown Copyright (C) 2019 Published by Elsevier Editora Ltda. on behalf of Associacao Brasileira de Ciencia Ecologica e Conservacao.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER151829
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography > Chair Biogeography - Univ.-Prof. Dr. Carl Beierkuhnlein
Faculties > Faculty of Cultural Studies > Department of Sport Science > Professor Sport Ecology > Professor Sport Ecology - Univ.-Prof. Dr. Manuel Jonas Steinbauer
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 570 Life sciences, biology
500 Science > 580 Plants (Botany)
Date Deposited: 03 Sep 2019 12:06
Last Modified: 17 Jan 2020 06:09
URI: https://eref.uni-bayreuth.de/id/eprint/51883