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Development of a Dynamic Model for Estimating the Food Web Transfer of Pollutants in Terrestrial Tritrophic Systems

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  • URLhttps://db.koreascholar.com/Article/Detail/288504
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한국응용곤충학회 (Korean Society Of Applied Entomology)
초록

Recently, an integrated approach in insect ecology that including development of biological models and estimation of various effects using a logical model has become important. Through the biological components of ecosystem having complex temporal and spatial patterns, and complicated interactions of biotic and abiotic factors, dynamic models can be useful tools to investigate the whole ecosystems. Pollutants in terrestrial ecosystem can be transferred to insect body through insect’s sucking plant tissue, and effect on their biological properties. Trend of pollutants transfer from soil to plant root can be estimated using free ion activity model (FIAM), and distribution and accumulation in plant parts can be described by dynamic model with water potential, water translocation, and transfer rate. Biological response of plant and insect can be illustrated the dynamics model based on experiment data. The combination of these models show an overall behavior of toxicant and the interaction between plant and insect with time. The objectives of the research are to comprehensively analyze the transfer and effects of pollutant in soil, plant and insect system and to develop the assessment technique for soil ecosystem using dynamic modelling concerning the causal relationship and feedback processes. We are aimed specifically at prediction and assessment of various polluting scenarios of soil ecosystem through data collection from laboratory and field investigation, modelling and evaluation using module software programing.

저자
  • Kijong Cho(Division of Environmental Science and Ecological Engineering, Korea University)
  • Yongeun Kim(Division of Environmental Science and Ecological Engineering, Korea University)
  • Hyoung-ho Mo(Division of Environmental Science and Ecological Engineering, Korea University)