Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/20943

Title: Species Distributions, Quantum Theory, and the Enhancement of Biodiversity Measures
Authors: Real, Raimundo
Barbosa, A. Márcia
Bull, Joseph W.
Keywords: Biogeography
favourability
physics
predictability
probability
species occurrence
uncertainty
wavefunction
Issue Date: 2017
Publisher: Oxford University Press
Citation: Real R., Barbosa A.M. & Bull J.W. (in press) Species distributions, quantum theory, and the enhancement of biodiversity measures. Systematic Biology
Abstract: Species distributions are typically represented by records of their observed occurrence at a given spatial and temporal scale. Such records are inevitably incomplete and contingent on the spatial-temporal circumstances under which the observations were made. Moreover, organisms may respond differently to similar environmental conditions at different places or moments, so their distribution is, in principle, not completely predictable. We argue that this uncertainty warrants treating species' distributions as analogous to quantum particles, whose distributions are described by a wavefunction rather than by a static set of locations. We relate this approach to the concept of ‘dark diversity’, which incorporates into biodiversity metrics species that could, but which have not yet been observed to, inhabit a region – developing a concept of “potential biodiversity”. We also show how such an approach may help overcome important weaknesses in current biodiversity metrics, in theory and using a worked case study of mammal distribution in Spain over the last decade. We propose that considerable theoretical advances could be gained through interdisciplinary collaboration between biogeographers and quantum physicists.
URI: http://hdl.handle.net/10174/20943
Type: article
Appears in Collections:CIBIO-UE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
Real et al_in press_Quantum distributions_SystBiol.pdf615.79 kBAdobe PDFView/OpenRestrict Access. You can Request a copy!
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois