نبذة مختصرة : Wetlands are valuable because they support considerable ecological functions and are important in maintaining and sustaining bird communities by supplying abundant resources. Wetlands are ecosystems with high biodiversity and a hotspot of research that allows their inhabiting species to carry out their basic vital activities, such as feeding, sheltering, and breeding. Due to the sensitivity and rapid reduction of wetlands, biodiversity, especially waterbirds, will also be affected by these changes. Binary logistic regression (BLR) is a widely used technique in habitat modeling, particularly for presence and absence data, which applies maximum likelihood estimation after transforming the dependent variable into a logit variable. The Eurasian Spoonbill (Platalea leucorodia) is a waterbird species found in the Gadaman Wetland, where its presence is limited to the breeding season. Wetland succession can impact various wetland-dependent birds, especially during the breeding season. Therefore, the habitat suitability modeling is limited only to this season. The overall classification accuracy and receiver operating characteristic (ROC) were assessed to determine the sensitivity and accuracy of the model. The model performance evaluated by the area under the receiver operating characteristic (ROC) curve was found to be 0.993 ± 0.008, implying that the present model is effective. According to the results and data obtained based on the table of water depth and vegetation of Carex-Juncus spp. for foraging and Cladium-Cyperus spp. and Blysmus-Phragmites spp. for nesting.
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