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2022
DOI: 10.1002/ecs2.4232
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Spatial drivers of wetland bird occupancy within an urbanized matrix in the Upper Midwestern United States

Abstract: Wetland birds are undergoing severe population declines in North America, with habitat degradation and wetland loss considered two of the primary causes. Due to the cryptic nature of many wetland bird species, the ecological conditions (e.g., matrix composition) that influence bird occupancy, and the relevant spatial scales at which to measure bird responses, remain unclear but may affect inference about wetland use and suitability. We conducted wetland bird surveys at 477 points across northeastern Illinois a… Show more

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Cited by 8 publications
(4 citation statements)
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References 49 publications
(74 reference statements)
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“…The Plain of Martil has been undergoing high urbanization, tourism, demographic and socio-economic growth. These anthro35pogenic activities have modified the general landscape as well as the structure and dynamics of the wetlands (1,4,6,9,12,30,31,34,35) Wetland environments of Oued Martil and Oued El Maleh are located in urban areas of Tetouan and Martil. They are close to habitations and roads.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
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“…The Plain of Martil has been undergoing high urbanization, tourism, demographic and socio-economic growth. These anthro35pogenic activities have modified the general landscape as well as the structure and dynamics of the wetlands (1,4,6,9,12,30,31,34,35) Wetland environments of Oued Martil and Oued El Maleh are located in urban areas of Tetouan and Martil. They are close to habitations and roads.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Urbanization in cities changes the environment and affects habitats and biodiversity. It causes loss of the surface and quality of the habitats of wetlands (1,5,6,(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38). Birds in wetland environments are important indicators of wetland environment quality and urbanization affects their population and biodiversity (8,(26)(27)(28)(29)(30)(31)(32)(33)(34)(35).…”
mentioning
confidence: 99%
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“…We fit an occupancy model to each species with several independent variables hypothesized to influence these species' occurrence as well as an interaction between the variables and their natural logarithms (i.e., the Box‐Tidwell test). The independent variables included distance to nearest road, distance to nearest body of water, proportion forest cover, and proportion wetland cover, as these have potential to impact passerine occurrence in our study area (Ascensão et al., 2022 ; Brown et al., 2014 ; Rahlin et al., 2022 ). We also fit a detection sub‐model with time of day as an independent variable to control for heterogeneity in detection probability due to temporally variant singing behavior.…”
Section: Case Study 2: Modeling Passerine Occupancymentioning
confidence: 99%