Modeling driving forces of avian diversity in a spatial configuration surrounded by farm ponds
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  • 作者:Wei-Ta Fang ; Bai-You Cheng ; Shang-Shu Shih ; Jui-Yu Chou…
  • 关键词:Irrigation pond ; Kriging estimation ; Landscape indices ; Logistic regression ; SLOSS ; Species diversity
  • 刊名:Paddy and Water Environment
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:14
  • 期:1
  • 页码:185-197
  • 全文大小:969 KB
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  • 作者单位:Wei-Ta Fang (1)
    Bai-You Cheng (2)
    Shang-Shu Shih (3)
    Jui-Yu Chou (4)
    Marinus L. Otte (5)

    1. Graduate Institute of Environmental Education, National Taiwan Normal University, Taipei City, 116, Taiwan, ROC
    2. Graduate Institute of Environmental Resources Management, TransWorld University, Yunlin County, 640, Taiwan, ROC
    3. Hydrotech Research Institute, National Taiwan University, Taipei City, 106, Taiwan, ROC
    4. Department of Biology, National Changhua University of Education, Changhua, 500, Taiwan, ROC
    5. Wet Ecosystem Research Group, Department of Biological Sciences, Department 2715, North Dakota State University (NDSU), P.O. Box 6050, Fargo, 58108-6050, USA
  • 刊物类别:Biomedical and Life Sciences
  • 刊物主题:Life Sciences
    Agriculture
    Hydrogeology
    Geoecology and Natural Processes
    Monitoring, Environmental Analysis and Environmental Ecotoxicology
    Soil Science and Conservation
    Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-2504
文摘
Farm ponds provide a home for birds and numerous species of aquatic animals in Taoyuan, Taiwan. Urbanization and development of infrastructure resulted in the gradual disappearance of these ponds. Currently, only 3800 ponds originally approximately 15.4 % remain, and 84.6 % of the surface area of the ponds has vanished. Aiming to protect avian diversity, this study used logistic regression analysis and the geostatistical approach to analyze the relationship between avian diversity and landscape structure, in an effort to elucidate the spatial driving force of avian diversity. We detected that regression-kriging (RK) was even more accurate than logistic regression (LR). In addition, the value of diversity (H′) measures may decrease instead of increase when evenness (J′) is increased. The results of this study also indicated that an exceedingly strong relationship existed among avian diversity and landscape scale, agricultural landscape indices, and pond landscape indices. The models predict that preservation of large areas of waterscapes and paddy landscapes result in greater diversity of avian species. Spatial estimation of the research area indicated that human activity substantially affected avian ecology, leading to reductions in avian diversity. Thus, the reduction of the area of ecological corridors due to urban development is expected to further reduce avian diversity in the Taoyuan region. Our approach can be used to effectively analyze the correlations between characteristics of ecosystems and the environmental landscape, to ensure that pondscapes can be appropriately maintained and ecological reserves designated to prevent further decline in avian diversity. Keywords Irrigation pond Kriging estimation Landscape indices Logistic regression SLOSS Species diversity

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