Wei-Chun Chao

Dr. Wei-Chun Chao

Department of forestry and Natural Resources, National Chiayi University
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 March 2013 in Applied Vegetation Science
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Journal Article
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CLChing-Feng Li
Ching-Feng Li
MCMilan Chytrý
Milan Chytrý
DZDavid Zelený
David Zelený
MCMing‐Yih Chen
Ming‐Yih Chen
TCTze‐Ying Chen
Tze‐Ying Chen
CHChang‐Fu Hsieh
Chang‐Fu Hsieh

12 January 2023 in Biotropica
Verified
Journal Article
Closed access
KCKuo‐Jung Chao
Kuo‐Jung Chao
THTien‐Yao Hsu
Tien‐Yao Hsu
TLTain‐Chi Lu
Tain‐Chi Lu
GSGuo‐Zhang Michael Song
Guo‐Zhang Michael Song
WCWei-Chun Chao
Wei-Chun Chao
ESEugene W. Schupp
Eugene W. Schupp

25 October 2023 in Plant Ecology
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Journal Article
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CKChen-Chia Ku
Chen-Chia Ku
JTJianwu Tang
Jianwu Tang
WCWei-Chun Chao
Wei-Chun Chao
KCKuo-Jung Chao
Kuo-Jung Chao
GSGuo-Zhang Michael Song
Guo-Zhang Michael Song
James A. LutzJames A. Lutz
James A. Lutz

26 February 2022 in Diversity
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Journal Article
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CKChen-Chia Ku
Chen-Chia Ku
KCKuo-Jung Chao
Kuo-Jung Chao
GSGuo-Zhang M. Song
Guo-Zhang M. Song
HLHuan-Yu Lin
Huan-Yu Lin
SFSu-Wei Fan
Su-Wei Fan
WCWei-Chun Chao
Wei-Chun Chao
Monitoring long-term forest dynamics can improve our understanding of how tree species change under varying environmental conditions over time. The Nanjenshan Nature Reserve, located in the southernmost part of Taiwan, is covered by natural tropical forest and affected by the northeast monsoon wind in the winter. To explore how monsoon wind shapes the structure of vegetation, we used the long-term data of the Lanjenchi plot (high wind exposure forest) and Nanjenshan plot I (low wind exposure forest) located in the Nanjenshan Nature Reserve. In these two plots, all free-standing trees with diameter at breast height (DBH) ≥ 1 cm were identified, measured, and mapped five times in thirty years (1989–2019). Temporal changes of tree abundance, dominance, recruitment, and mortality were calculated for all species. We recorded 9694 ± 3924 individual ha−1 belonging to 126 species in the high wind exposure forest and 4019 ± 1791 individual ha−1 belonging to 105 species in the low wind exposure forest in the latest census (census 5). From 1989 to 2019, stem density in the high wind exposure forests decreased (from 12,179 ± 6689 to 9694 ± 3924 individual ha−1), while stem density in the low wind exposure forests increased (from 3253 ± 1208 to 4019 ± 1791 individual ha−1). The stem density of the rare species, which survived only in the high wind exposure forest, decreased over time. However, the basal areas of these two forests barely changed during the study periods. Due to environmental conditions, the two forests have developed different forest structures in spaces and time. Species stem density in the high wind exposure forest and diversity could continually decrease and affect the maintenance of species diversity in the monsoon wind-shaped forest.

1 September 2024 in Journal of Vegetation Science
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Journal Article
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YLYung‐Chiau Lin
Yung‐Chiau Lin
KCKuo‐Jung Chao
Kuo‐Jung Chao
GSGuo‐Zhang M. Song
Guo‐Zhang M. Song
WCWei-Chun Chao
Wei-Chun Chao
CCChia‐Hao Chang‐Yang
Chia‐Hao Chang‐Yang
CHChang‐Fu Hsieh
Chang‐Fu Hsieh

13 July 2026 in Ecosystems
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Journal Article
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CKChen-Chia Ku
Chen-Chia Ku
SCSin Chen
Sin Chen
CWCheng-Yu Wu
Cheng-Yu Wu
CHChun-Ping Huang
Chun-Ping Huang
BHBing-Mu Hsu
Bing-Mu Hsu
CFCheng-Wei Fan
Cheng-Wei Fan