Abandoned forest ecosystem: Implications for Japan's Oak Wilt disease

Kohei Imamura, Shunsuke Managi, Shoichi Saito, Tohru Nakashizuka

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This study determined values for the ecosystem services of abandoned coppice forests that are threatened by a forest disease known as Japanese Oak Wilt. We applied a discrete choice experiment to value these ecosystem services. The results indicated that ecosystem services were highly valued in the order of biodiversity conservation, water and soil regulation, timber provision, and climate change mitigation. This study suggests that people expect abandoned coppice forests to be protected from Japanese Oak Wilt and to become rich in biodiversity. However, public preference for biodiversity conservation services had high heterogeneity among people. On the other hand, water and soil regulation services were widely ranked as important among people. Furthermore, traditional management method is most preferred than other forest-change scenarios in JOW countermeasures.

Original languageEnglish
Pages (from-to)56-61
Number of pages6
JournalJournal of Forest Economics
Volume29
DOIs
Publication statusPublished - Dec 1 2017

Fingerprint

wilt
forest ecosystems
forest ecosystem
Quercus
Japan
ecosystem service
ecosystem services
Disease
coppice
biodiversity
conservation
water conservation
soil conservation
regulation
water
timber
soil
climate change
Values
oak

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Forestry
  • Ecology

Cite this

Abandoned forest ecosystem : Implications for Japan's Oak Wilt disease. / Imamura, Kohei; Managi, Shunsuke; Saito, Shoichi; Nakashizuka, Tohru.

In: Journal of Forest Economics, Vol. 29, 01.12.2017, p. 56-61.

Research output: Contribution to journalArticle

Imamura, Kohei ; Managi, Shunsuke ; Saito, Shoichi ; Nakashizuka, Tohru. / Abandoned forest ecosystem : Implications for Japan's Oak Wilt disease. In: Journal of Forest Economics. 2017 ; Vol. 29. pp. 56-61.
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