Institute of Fisheries Science, NTU

If you are concerned about the conservation of marine ecology, "fishery" is definitely an important part you can't miss.
 
Fishery resources are important biological resources on the planet, and their quantity will change over time. These changes may be due to the characteristics of the organisms, the changes in the marine ecological environment, or the interference and influence of human activities. The ocean is not as big as we thought, and the fishery resources are not inexhaustible and inexhaustible. The destruction and pollution of the marine environment, as well as overfishing, will cause the depletion of fishery resources and destroy the habitat of marine organisms. Therefore, we must have a reasonable and wise harvest plan, limit the number, size, and season of the catch, and formulate a complete set of fishery management methods, so that the fishery resources can be used sustainably.
 
The research focuses of this laboratory are the following four areas:
Fishery ecology
Research and understand the biology, ecology, life history of important economic fishery organisms (such as highly migratory fish and crustaceans) and their relationship with environmental factors (or ecological habitats). Field biological survey and sample collection, life history parameter estimation and biological mathematical model theory and application.
 
Analysis of fishery observation data
Analysis and research of real-world fishery observation data, such as fishery logbook or observer. Applying statistical methods to analyze fishery data, understanding the spatial and temporal dynamics of fisheries (vessel) and fish populations, and investigating the relationships between the environmental factors and fishery observation data.
 
Fish population dynamics and resource assessment
The population dynamics and stock assessment of important economic fishery species (such as highly migratory fish and crustaceans) and provide scientific advice on sustainable use of resources to the domestic and foreign fishery management organizations. Apply various advanced statistical methods to develop resource assessment models; apply computer simulations to explore various issues of resource assessment models; fishery management strategies evaluation.
 
The impact of climate change on fishery resource assessment
Consider the changes in fish life history (such as growth and mortality), environmental factors, and habitat in the stock assessment model; conduct a risk assessment and explore its impact and application on fishery management. Ecosystem-based fishery resource assessment and management.
 
Are you interested in fishery resources and ecology? Or do you like doing experiments to dissect fish; or you have a good sense of "numbers" and are a computer geek? This laboratory welcomes you to join us and participate in the most important fishery resource research in Taiwan and the world. Let us work together to contribute to the conservation and sustainability of fishery resources.

Our lab focuses on quantitative fish population dynamics, fisheries stock assessments and management. The research conducted by my lab relates to the development and testing of methods for assessing the past and current status of fish and invertebrate.
 
My lab uses of a variety of quantitative techniques including fitting of the population dynamics models using maximum likelihood and Bayesian methods, individual-based model, and ecosystem models. We are exploring how to manage marine populations in the face of climate change and ecological variables, data quality, and various uncertainties.
 
The results of our research are used to inform management decision making in Taiwan, and in international marine management bodies such as regional fisheries management organizations.

近年重要著作 (2017- ):

Wang, Y.C., Chang, Y. J., Wang, P.-L., Shiao, J.C. (2022) Evaluation of cooking effects on otolith stable carbon and oxygen isotope values of teleostean fish Pomadasys kaakan (Cuvier, 1830). Rapid Communications in Mass Spectrometry, 36(4), e9233.

Chang, Y.J.*, Hsu, J., Lai, P.K., Lan, K.W., Tsai, W.P. (2021) Evaluation of the impacts of climate change on albacore distribution in the South Pacific Ocean by using ensemble forecast. Frontiers in Marine Science, 8, 731950.

Hsu, J., Chang, Y.J.*, Kitakado, T., Kai, M., Li, B., Hashimoto, M., Hsieh, C.H., Kulik, V., Park, K.J. (2021) Evaluating the spatiotemporal dynamics of Pacific saury in the Northwestern Pacific Ocean by using a geostatistical modelling approach. Fisheries Research, 235, 105821.

Tsai, W. P., Liu, K. M., Chang, Y. J. (2020) Evaluation of Biological Reference Points for Conservation and Management of the Bigeye Thresher Shark, Alopias superciliosus, in the Northwest Pacific. Sustainability, 12(20), 8646. [Link]

Chang, Y.J., Winker, H., Sculley, M.,Hsu, J. (2020). Evaluation of the status and risk of overexploitation of the Pacific billfish stocks considering non-stationary population processes. Deep-Sea Research Part II, 175, 104707. [Link]

Lan, K.W., Chang, Y.J., Wu, Y.L. (2020) Influence of oceanographic and climatic variability on the catch rate of yellowfin tuna (Thunnus albacares) cohorts in the Indian Ocean. Deep-Sea Research Part II, 175, 104681. [Link]

Chang, Y.J., Hsu, J., Shiao, J.C., Chang, S.K. (2019) Evaluation of the effects of otolith sampling strategies and ageing error on estimation of the age composition and growth curve for Pacific bluefin tuna Thunnus orientalis. Marine and Freshwater Research, 70: 1838-1849.

Tsai, W.P., Chang, Y.J., Liu, K.M. (2019) Development and testing of a Bayesian population model for the bigeye thresher shark, Alopias superciliosus, in an area subset of the western North Pacific. Fisheries Management and Ecology, 26(3): 269-294.

Chang, Y.J., Lan, K.W., Walsh, W.A., Hsu, J., Hsieh, C.H. (2019) Modelling the impacts of environmental variation on habitat suitability for Pacific saury in the Northwestern Pacific Ocean. Fisheries Oceanography, 28(3): 291-304.

Chang, S.K., Yuan, Z.L., Wang, S.P., Chang, Y.J., DiNardo, G. (2018) Deriving statistically reliable abundance index from landing data: an application to Taiwanese coastal dolphinfish fishery with multi-species feature. Transactions of the American Fisheries Society, 148: 106–122.

Chang, H.Y., Sun, C.L., Yeh, S.Z., Chang, Y.J., Su, N.J., DiNardo, G. (2018) Reproductive biology of female striped marlin Kajikia audax in the western Pacific Ocean. Journal of Fish Biology, 92: 105-130.

Carvalho, F, Punt, A.E., Chang, Y.J., Maunder, M.N., and Piner, K.R. (2017) Can diagnostic tests help identify model misspecification in integrated stock assessments? Fisheries Research, 192: 28-40.