Planned maintenance
A system upgrade is planned for 10/12-2024, at 12:00-13:00. During this time DiVA will be unavailable.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The drivers of dark diversity in the Scandinavian mountains are metric-dependent
Show others and affiliations
Responsible organisation
2023 (English)In: Journal of Vegetation Science, ISSN 1100-9233, E-ISSN 1654-1103, Vol. 34, no 6Article in journal (Refereed) Published
Abstract [en]

Question

Dark diversity refers to the set of species that are not observed in an area but could potentially occur based on suitable local environmental conditions. In this paper, we applied both niche-based and co-occurrence-based methods to estimate the dark diversity of vascular plant species in the subarctic mountains. We then aimed to unravel the drivers explaining (a) why some locations were missing relatively more suitable species than others, and (b) why certain plant species were more often absent from suitable locations than others.

Location

The Scandinavian mountains around Abisko, northern Sweden.

Methods

We calculated the dark diversity in 107 plots spread out across four mountain trails using four different methods: two co-occurrence-based (Beals? index and the hypergeometric method) and two niche-based (the climatic niche model and climatic niche model followed by species-specific threshold). We then applied multiple Generalized Linear Mixed-Effects Models and General Linear Models to determine which habitat characteristics and species traits contributed the most to dark diversity.

Results

The study showed a notable divergence in the predicted drivers of dark diversity depending on the method used. Nevertheless, we can conclude that plot-level dark diversity was generally 17% higher in areas at low elevations and 31% higher in areas with a low species richness.

Conclusion

Our findings call for caution when interpreting statistical findings of dark-diversity estimates. Even so, all analyses point toward an important role for natural processes such as competitive dominance as the main driver of the spatial patterns found in dark diversity in the northern Scandes.

Place, publisher, year, edition, pages
John Wiley & Sons, Ltd , 2023. Vol. 34, no 6
Keywords [en]
Beals’ index, co-occurrence model, habitat characteristics, method comparison, niche model, plant diversity, plant ecology, plant traits, regional species pool
National Category
Ecology Botany
Identifiers
URN: urn:nbn:se:polar:diva-9018DOI: 10.1111/jvs.13212OAI: oai:DiVA.org:polar-9018DiVA, id: diva2:1820124
Conference
2023/12/15
Available from: 2023-12-15 Created: 2023-12-15 Last updated: 2023-12-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttps://doi.org/10.1111/jvs.13212
In the same journal
Journal of Vegetation Science
EcologyBotany

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf