Analyzing Spatial and Temporal Changes of Aquaculture in Yunlin County, Taiwan*

Abstract This article analyzes spatial and temporal changes of aquaculture land use in Yunlin County, Taiwan, and discusses the driving forces for these changes. Digital land-use maps and satellite imagery for 1982, 1988, 1994, and 2002 were used to extract aquaculture areas. A geographic information system was used to derive changes in aquaculture areas and to compute the spatial clustering statistics over time. A survey of eighty-seven farmers was conducted to obtain their views and concerns about aquaculture. The results show a rapid expansion in aquaculture during the 1980s, driven mainly by exports to Japan, and a continuous decline since the mid-1990s because of economic, environmental, and demographic factors.

[1]  R. Leemans Changes in Land use and land cover: A global perspective , 1995 .

[2]  Eric F. Lambin,et al.  Are agricultural land-use models able to predict changes in land-use intensity? , 2000 .

[3]  Lo-chai Chen Aquaculture in Taiwan , 1991 .

[4]  Stephen J. Walsh,et al.  People and the Environment , 2004 .

[5]  M. Flaherty,et al.  Marine shrimp aquaculture and natural resource degradation in Thailand , 1995 .

[6]  F. Dierberg,et al.  Issues, impacts, and implications of shrimp aquaculture in Thailand , 1996, Environmental management.

[7]  Yu-Hui Chen,et al.  The competitiveness of the eel aquaculture in Taiwan, Japan, and China , 2003 .

[8]  S. Menard Applied Logistic Regression Analysis , 1996 .

[9]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[10]  Y. Matsuda,et al.  Diversification of shrimp products in the Japanese and US markets during the 1990s , 1999 .

[11]  Liao I Chiu,et al.  Developments in aquaculture biotechnology in Taiwan , 1997 .

[12]  Arthur Getis,et al.  Spatial Modelling of Disease Dispersion Using a Local Statistic: The Case of AIDS , 1998 .

[13]  Ronald J. Classen,et al.  Introduction to Geographic Information Systems , 2001 .

[14]  Y. Matsuda,et al.  An econometric estimation of Japanese shrimp supply and demand during the 1990s , 1999 .

[15]  P. Leung,et al.  Comparing Asian shrimp farming: the domestic resource cost approach , 1999 .

[16]  Jon A. Krosnick,et al.  An introduction to survey research, polling, and data analysis , 1996 .

[17]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[18]  William F. Danaher,et al.  Survival in agriculture: Linking macro‐ and micro‐level analyses , 1994 .

[19]  Dwight Merunka,et al.  Neural networks and the multinomial logit for brand choice modelling: a hybrid approach , 2000 .

[20]  Mark Shucksmith,et al.  FARM HOUSEHOLD BEHAVIOUR AND THE TRANSITION TO POST-PRODUCTIVISM , 1993 .

[21]  L. Lai,et al.  The evolution and future of pond and marine fish culture in Hong Kong , 1999 .

[22]  Malcolm J. Moseley,et al.  Innovation and Rural Development: Some Lessons from Britain and Western Europe , 2000 .

[23]  H. Kongkeo Comparison of intensive shrimp farming systems in Indonesia, Philippines, Taiwan and Thailand , 1997 .

[24]  Jefferson Fox,et al.  People and the environment : approaches for linking household and community surveys to remote sensing and GIS , 2003 .

[25]  W. Parton,et al.  Agricultural intensification and ecosystem properties. , 1997, Science.

[26]  Hans C. Jessen,et al.  Applied Logistic Regression Analysis , 1996 .