Predicted scarcity of suitable habitat for alpine plant communities in northern Japan under climate change. Issue 4 (13th December 2022)
- Record Type:
- Journal Article
- Title:
- Predicted scarcity of suitable habitat for alpine plant communities in northern Japan under climate change. Issue 4 (13th December 2022)
- Main Title:
- Predicted scarcity of suitable habitat for alpine plant communities in northern Japan under climate change
- Authors:
- Amagai, Yukihiro
Oguma, Hiroyuki
Ishihama, Fumiko - Abstract:
- Abstract: Question: Alpine vegetation is sensitive to climate change, with shifts in species ranges, changes in community composition, and an upward shift in the forest limit over decades. Under climate change, habitats suitable for alpine vegetation will progressively decrease in scale, making their protection and conservation particularly important. In the Taisetsu Mountains of Japan, alpine vegetation has changed remarkably during the last decade. The aim of this study was to estimate the distribution of habitats suitable for alpine and subalpine vegetation types (snowbeds, shrubs, and alpine heathland/fellfield) and competing vegetation types ( Sasa spp. and subarctic forest), while considering uncertainties in future predictions and climate scenarios. Location: Taisetsu Mountains, Daisetsuzan National Park, Hokkaido (northern Japan). Methods: We estimated the habitat area suitable for each vegetation type from current vegetation maps on the basis of the predictions by three global climate models (GCMs) under two climate change scenarios (RCP2.6 and RCP8.5) using five habitat suitability models (HSMs) in two periods (2046–2050 and 2096–2100). We also compared the performances of the HSMs. Results: Mean summer temperature and snow‐cover period had significant effects on the distribution of all vegetation types. The estimated distribution area for suitable habitat did not differ markedly among GCMs and HSMs. Under the RCP2.6 scenario, habitats suitable for snowbeds andAbstract: Question: Alpine vegetation is sensitive to climate change, with shifts in species ranges, changes in community composition, and an upward shift in the forest limit over decades. Under climate change, habitats suitable for alpine vegetation will progressively decrease in scale, making their protection and conservation particularly important. In the Taisetsu Mountains of Japan, alpine vegetation has changed remarkably during the last decade. The aim of this study was to estimate the distribution of habitats suitable for alpine and subalpine vegetation types (snowbeds, shrubs, and alpine heathland/fellfield) and competing vegetation types ( Sasa spp. and subarctic forest), while considering uncertainties in future predictions and climate scenarios. Location: Taisetsu Mountains, Daisetsuzan National Park, Hokkaido (northern Japan). Methods: We estimated the habitat area suitable for each vegetation type from current vegetation maps on the basis of the predictions by three global climate models (GCMs) under two climate change scenarios (RCP2.6 and RCP8.5) using five habitat suitability models (HSMs) in two periods (2046–2050 and 2096–2100). We also compared the performances of the HSMs. Results: Mean summer temperature and snow‐cover period had significant effects on the distribution of all vegetation types. The estimated distribution area for suitable habitat did not differ markedly among GCMs and HSMs. Under the RCP2.6 scenario, habitats suitable for snowbeds and alpine heathland/fellfield drastically decreased overall but were preserved in some regions. Under the RCP8.5 scenario, however, subarctic forest almost completely replaced alpine and subalpine vegetation types over time. Conclusions: Our projections indicate that the severity of future climate change will determine whether or not habitats suitable for alpine vegetation will remain. Monitoring the dynamics of endemic and rare species for the effects of global warming should be the priority for adaptation strategies to enable timely conservation measures. Abstract : We estimated the future distribution of alpine and subalpine vegetation types under climate change in the Taisetsu Mountains, Daisetsuzan National Park, Hokkaido (northern Japan). Under the RCP2.6 scenario, habitats suitable for snowbeds and alpine heathland/fellfield drastically decreased overall. Under RCP8.5, subalpine forest almost completely replaced alpine vegetation types over time. … (more)
- Is Part Of:
- Applied vegetation science. Volume 25:Issue 4(2022)
- Journal:
- Applied vegetation science
- Issue:
- Volume 25:Issue 4(2022)
- Issue Display:
- Volume 25, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 25
- Issue:
- 4
- Issue Sort Value:
- 2022-0025-0004-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-12-13
- Subjects:
- adaptation -- alpine -- climate prediction -- conservation -- distribution model -- global warming -- RCP scenario -- snow‐cover period -- vegetation
Plant ecology -- Periodicals
Plant communities -- Periodicals
Plant populations -- Periodicals
Nature -- Effect of human beings on -- Periodicals
581.705 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1654-109X ↗
http://www.bioone.org/bioone/?request=get-journals-list&issn=1402-2001 ↗
http://www.jstor.org/journals/14022001.html ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/avsc.12694 ↗
- Languages:
- English
- ISSNs:
- 1402-2001
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1580.113100
British Library DSC - BLDSS-3PM
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- 24946.xml