Modeling waterbird diversity in irrigation ponds of Taoyuan,Taiwan using an artificial neural network approach

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Title:	Modeling waterbird diversity in irrigation ponds of Taoyuan,Taiwan using an artificial neural network approach
Authors:	方偉達 Fang, Wei-Ta
Contributors:	休閒遊憩規劃與管理學系 Leisure and Recreation Management
Keywords:	類神經;埤塘;水鳥;景觀生態;台灣 Artificial neural network;ANN;Irrigation pond;Waterbird;Landscape ecology
Date:	2009
Issue Date:	2014-06-27 11:48:05 (UTC+8)
Abstract:	本文運用桃園埤塘類神經方法，建立模型評估。本文係就有關生態性方面之機能加以深入探討，分析埤塘水景在農地間形成水生植物、防風林、人為耕作及破碎性林地之間的生態交錯地帶。在池景研究中，篩選24項指標進行空間分析，藉以比較水域及陸域環境之不同。本研究運用指標分析自然地景受人為不同強度使用之影響〈池塘大小、池塘形狀、農田面積及建物面積〉，顯示池塘越大、形狀越圓、農田面積越大及建物面積越小，其水岸鳥類多樣性越高。其中X1~X4分別為池塘面積（PS）、池塘形狀（MPFD）、農田面積（%FARM）及建物面積（BUILD The study develops an approach adopted by artificial neural networks (ANN) to model the relationship between pondscape and waterbird diversity. Study areas with thousands of irrigation ponds are unique geographic features from the original functions of ir
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