Chunhan Shih

Mr. Chunhan Shih

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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10 June 2021 in Scientific Reports
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Journal Article
Open access
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CLChing-Chen Lee
Ching-Chen Lee
MCMing-Chung Chiu
Ming-Chung Chiu
Chunhan ShihChunhan Shih
Chunhan Shih
CYChin-Cheng Scotty Yang
Chin-Cheng Scotty Yang
HLHung-Chang Liu
Hung-Chang Liu
CLChung-Chi Lin
Chung-Chi Lin
The yellow crazy ant,Anoplolepis gracilipeswas first reported in Kenting National Park, Taiwan, in the 2000s, raising the concern of this invasive ant’s potential effects on the native land crab populations. We investigated the distribution and abundance ofA.gracilipesand its adverse effect on the land crab populations at four land crab hotspots within the park. Our survey results indicated thatA.gracilipeswas widespread and abundant at three of the study sites (Hsiangchiaowan, Shadao, and Natural Spring), while the distribution was much more confined at the fourth site (Houwan). Land crab populations experienced a notable decline at all the study sites except Houwan, indicating an inverse relationship between the population of land crabs and distribution/abundance ofA.gracilipes. Combining the results of visual observations, the decline of land crab populations can be attributed, at least partially, to direct attacks byA.gracilipeson land crabs in their natural habitat and during the breeding migration season. Generalized additive model showed that worker abundance of this ant is associated with human disturbance levels, suggesting that anthropogenic disturbance may have contributed to the decline in land crab populations via promoting the abundance ofA.gracilipes.

1 January 2022 in BioInvasions Records
Verified
Journal Article
Closed access
PHPo-Wei Hsu
Po-Wei Hsu
CLChing-Chen Lee
Ching-Chen Lee
FHFeng-Chuan Hsu
Feng-Chuan Hsu
STShu-Ping Tseng
Shu-Ping Tseng
Chunhan ShihChunhan Shih
Chunhan Shih
CLChung-Chi Lin
Chung-Chi Lin

6 April 2017 in Journal of Economic Entomology
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Journal Article
Closed access
CLChung-Chi Lin
Chung-Chi Lin
TCTsai-Wei Chang
Tsai-Wei Chang
HCHung-Wei Chen
Hung-Wei Chen
Chunhan ShihChunhan Shih
Chunhan Shih
PHPo-Cheng Hsu
Po-Cheng Hsu
The Dolichoderus thoracicus (Smith) has seriously infested urban, village, and agricultural environments in Taiwan. To develop optimal bait for the effective control of D. thoracicus, we investigated the feeding preferences of this ant at different sugar and amino acid concentrations in a laboratory setting. The number of feeding workers was significantly higher for 20% sucrose compared with that for other sugars at 10% and 20% concentrations. Furthermore, among all tested concentrations of monosodium glutamate (MSG; 1%, 3%, 5%, and 10%), the highest number of ants were attracted by 1% MSG with 20% sucrose. The consumption of each bait solution was also measured, and the results were similar to those for ant number. Regarding toxicants, the toxicity and repellency of 3% boric acid and borax bait were evaluated individually. Both 3% boric acid and borax demonstrated no repellency against D. thoracicus workers. The LT50 of the 3% boric acid bait was 4.87 d, whereas that of 3% borax bait was only 1.56 d. Thus, 3% boric acid showed further delayed action, facilitating workers spreading the toxicant to their nestmates through trophallaxis. In combination with our unique bait station, we propose an optimal bait formulation comprising 20% sucrose, 1% MSG, and 3% boric acid as a promising candidate for controlling D. thoracicus.

31 July 2025 in Insects
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Journal Article
Open access
PDF file
Chunhan ShihChunhan Shih
Chunhan Shih
Cheng-En SongCheng-En Song
Cheng-En Song
SWSu-Feng Wang
Su-Feng Wang
CLChung-Chi Lin
Chung-Chi Lin
The red imported fire ant (RIFA; Solenopsis invicta) is an invasive species that severely threatens ecology, agriculture, and public health in Taiwan. In this study, the feasibility of applying multispectral imagery captured by unmanned aerial vehicles (UAVs) to detect red fire ant mounds was evaluated in Fenlin Township, Hualien, Taiwan. A DJI Phantom 4 multispectral drone collected reflectance in five bands (blue, green, red, red-edge, and near-infrared), derived indices (normalized difference vegetation index, NDVI, soil-adjusted vegetation index, SAVI, and photochemical pigment reflectance index, PPR), and textural features. According to analysis of variance F-scores and random forest recursive feature elimination, vegetation indices and spectral features (e.g., NDVI, NIR, SAVI, and PPR) were the most significant predictors of ecological characteristics such as vegetation density and soil visibility. Texture features exhibited moderate importance and the potential to capture intricate spatial patterns in nonlinear models. Despite limitations in the analytics, including trade-offs related to flight height and environmental variability, the study findings suggest that UAVs are an inexpensive, high-precision means of obtaining multispectral data for RIFA monitoring. These findings can be used to develop efficient mass-detection protocols for integrated pest control, with broader implications for invasive species monitoring.