Uygar Özesmi

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  • Uygar Özesmi, Can O Tan, Stacy L Özesmi, Raleigh J Robertson
  • 2005
17 Separate artificial neural network (ANN) models were developed from data in 18 two geographical regions and years apart for a marsh-nesting bird, the red-winged 19 blackbird Agelaius phoeniceus. Each model was independently tested on the spatially and 20 temporally distinct data from the other region to determine how generalizable it was. The 21 first(More)
A participatory environmental management plan was prepared for Tuzla Lake, Turkey. Fuzzy cognitive mapping approach was used to obtain stakeholder views and desires. Cognitive maps were prepared with 44 stakeholders (villagers, local decisionmakers, government and non-government organization (NGO) officials). Graph theory indices, statistical methods and(More)
12 We review the use of artificial neural networks, particularly the feedforward multilayer 13 perceptron with back-propagation for training (MLP), in ecological modelling. In MLP 14 modeling, there are no assumptions about the underlying form of the data that must be met as 15 in standard statistical techniques. Instead the researchers should make clear(More)
Sustainability of ecosystems and ecosystem management are increasingly accepted societal goals. However projects of non-governmental conservation organizations (NGOs) and governments also are prone to becoming impractical impositions on local people. Can conservation programs be improved by incorporating local people's understanding of ecosystems? The(More)
Ecological systems are governed by complex interactions which are mainly nonlinear. In order to capture the inherent complexity and nonlinearity of ecological, and in general biological systems, statistical models recently gained popularity. However, although these models, particularly connectionist approaches such as multilayered backpropagation networks,(More)
Although ARTMAP and ART-based models were introduced in early 70's they were not used in characterizing and classifying ecological observations. ART-based models have been extensively used for classification models based on satellite imagery. This report, to our knowledge, is the first application of ART-based methods and specifically ARTMAP for predicting(More)
We used fuzzy cognitive mapping (FCM) to develop a generic shallow lake ecosystem model by augmenting the individual cognitive maps drawn by 8 scientists working in the area of shallow lake ecology. We calculated graph theoretical indices of the individual cognitive maps and the collective cognitive map produced by augmentation. There were a total of 32(More)
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