How to translate text using browser tools
1 October 2004 Probability distributions, vulnerability and sensitivity in Fagus crenata forests following predicted climate changes in Japan
Tetsuya Matsui, Tsutomu Yagihashi, Tomoki Nakaya, Hirosi Taoda, Shuichiro Yoshinaga, Hiromu Daimaru, Nobuyuki Tanaka
Author Affiliations +
Abstract

Question: How much is the probability distribution of Fagus crenata forests predicted to change under a climate change scenario by the 2090s, and what are the potential impacts on these forests? What are the main factors inducing such changes?

Location: The major islands of Japan.

Methods: A predictive distribution model was developed with four climatic factors (summer precipitation, PRS; winter precipitation, PRW; minimum temperature of the coldest month, TMC; and warmth index, WI) and five non-climatic factors (topography, surface geology, soil, slope aspect and inclination). A climate change scenario was applied to the model.

Results: Areas with high probability (> 0.5) were predicted to decrease by 91 %, retreating from the southwest, shrinking in central regions, and expanding northeastwards beyond their current northern limits. A vulnerability index (the reciprocal of the predicted probability) suggests that Kyushu, Shikoku, the Pacific Ocean side of Honshu and southwest Hokkaido will have high numbers of many vulnerable F. crenata forests. The forests with high negative sensitivity indices (the difference between simulated probabilities of occurrence under current and predicted climates) mainly occur in southwest Hokkaido and the Sea of Japan side of northern Honshu.

Conclusion: F. crenata forest distributions may retreat from some islands due to a high WI. The predicted northeastward shift in northern Hokkaido is associated with increased TMC and PRS. High vulnerability and negative sensitivity of the forests in southern Hokkaido are due to increased WI.

Abbreviations: CCSR/NIES = Centre for Climate System Research / National Institute for Environmental Studies; DWS = Deviance-weighted score; GCM = Global Climate Model; IPCC = Intergovernmental Panel on Climate Change; JMA = Japan Meteorological Agency; MER = Misclassification error rate; NSNE = National Survey on the Natural Environment; PRS = Summer precipitation; PRW = Winter precipitation; TMC = Minimum temperatuire coldest month; WI = Warmth index.

Nomenclature: Ohwi & Kitagawa (1992).

Tetsuya Matsui, Tsutomu Yagihashi, Tomoki Nakaya, Hirosi Taoda, Shuichiro Yoshinaga, Hiromu Daimaru, and Nobuyuki Tanaka "Probability distributions, vulnerability and sensitivity in Fagus crenata forests following predicted climate changes in Japan," Journal of Vegetation Science 15(5), 605-614, (1 October 2004). https://doi.org/10.1658/1100-9233(2004)015[0605:PDVASI]2.0.CO;2
Received: 11 August 2003; Accepted: 17 March 2004; Published: 1 October 2004
JOURNAL ARTICLE
10 PAGES

This article is only available to subscribers.
It is not available for individual sale.
+ SAVE TO MY LIBRARY

KEYWORDS
Beech
Classification tree
global warming
Habitat prediction
Precipitation
Quercus
temperature
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top