umu.sePublications
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
Community and Ecosystem Responses to Elevational Gradients: Processes, Mechanisms, and Insights for Global Change
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), SE–901 83, Umeå, Sweden. (Arcum)
Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, DK-2100 Copenhagen, Denmark.
Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), SE–901 83, Umeå, Sweden and Rocky Mountain Biological Lab, Crested Butte, Colorado 81224, USA and Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee 37996, USA.
2013 (English)In: Annual Review of Ecology, Evolution and Systematics: Vol. 44, ANNUAL REVIEWS, 2013, 261-280 p.Chapter in book (Refereed)
Abstract [en]

Community structure and ecosystem processes often vary along elevational gradients. Their responses to elevation are commonly driven by changes in temperature, and many community- and ecosystem-level variables therefore frequently respond similarly to elevation across contrasting gradients. There are also many exceptions, sometimes because other factors such as precipitation can also vary with elevation. Given this complexity, our capacity to predict when and why the same variable responds differently among disparate elevational gradients is often limited. Furthermore, there is utility in using elevational gradients for understanding community and ecosystem responses to global climate change at much larger spatial and temporal scales than is possible through conventional ecological experiments. However, future studies that integrate elevational gradient approaches with experimental manipulations will provide powerful information that can improve predictions of climate change impacts within and across ecosystems.

Place, publisher, year, edition, pages
ANNUAL REVIEWS, 2013. 261-280 p.
Series
Annual Review of Ecology Evolution and Systematics, ISSN 1543-592X ; 44
Keyword [en]
biotic interactions, diversity, nutrient cycling, mountains, warming experiments, fertilization
National Category
Ecology
Identifiers
URN: urn:nbn:se:umu:diva-86862DOI: 10.1146/annurev-ecolsys-110512-135750ISI: 000329821800013ISBN: 978-0-8243-1444-6 (print)OAI: oai:DiVA.org:umu-86862DiVA: diva2:704765
Available from: 2014-03-13 Created: 2014-03-11 Last updated: 2017-01-23Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Sundqvist, Maja
Ecology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 120 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