Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/96874
Title: Humboldt's enigma viewed through the lens of ecosystem theory. Explanation by simple principles
Authors: Nielsen, S. N. 
Müller, F.
Marques, J. C. 
Keywords: Biodiversity; Ecosystem theory; Gradient approach; Indicator; Mountain ecosystems
Issue Date: 2022
Publisher: Elsevier
Serial title, monograph or event: Environmental and Sustainability Indicators
Volume: 13
Abstract: The observation that mountain regions generally display higher diversity than tropical regions has recently been presented as a puzzle or “enigma”, since it seems to contradict the normal belief that the highest diversity on Earth occurs in the rain forest ecosystems around the equator. The observation seems to be well supported by data gathered for several animal and plant communities, and thus deserves further attention, including investigation of how it arises. However, re-interpretation of the enigma in the light of ecosystem theory serves to resolve the problem, explaining the increased diversity as the result of the presence of a larger set of thermodynamic and thermo-chemical variables, which vary in quantity, quality, time, and space, together with the forcing functions usually present. This permits a more intensive exploitation of the gradients in an oscillating environment as formulated for instance in the intermediate disturbance hypothesis combined with the niche construction concept. Put simply, mountain regions offer an environment with a greater and more variable set of gradients, in terms of both quantity and quality, than occur in the more stable environments found in relatively flat areas. This gives an extra stimulus to speciation processes, resulting in the elevated diversity observed. © 2021 The Authors
URI: https://hdl.handle.net/10316/96874
ISSN: 26659727
DOI: 10.1016/j.indic.2021.100165
Rights: openAccess
Appears in Collections:I&D MARE - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
1-s2.0-S2665972721000660-main.pdf419.51 kBAdobe PDFView/Open
Show full item record

Page view(s)

114
checked on Apr 23, 2024

Download(s)

76
checked on Apr 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons