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Nest site use by crested ibis: dependence of a multifactor model on spatial scale
Authors:Xinhai Li  Dianmo Li  Zhijun Ma  David C. Schneider
Affiliation:(1) Institute of Zoology, Chinese Academy of Sciences, Beijing, 100080, P.R. China;(2) Department of Biology, University of New Brunswick, Saint John, NB, E2L 4L5, Canada;(3) Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai, 200433, P.R. China;(4) Ocean Science Centre, Memorial University, St. John’s, A1C 5S7, NL, Canada
Abstract:The crested ibis (Nipponia nippon), a species at the brink of extinction in 1981, remain restricted to a small (25 km radius) area of temperate forests in central China. To improve the chances of successful reintroduction into new areas we developed a multifactor logistic regression model of habitat association at multiple scales. Using habitat variables, i.e. vegetation, human impact, elevation, and wetland, we compared occupied and unoccupied sites at grain sizes ranging from 1 to 6400 ha. The goodness-of-fit of the habitat suitability model depended on grain size, with the best fit (most information) at a grain size of 2 ha. Semivariograms showed the habitat variables at control sites have a gradient pattern, yet the crested ibis had their specific habitat preferences, and only selected a narrow range from the available gradient. Our results indicated that spatial scale needs to be considered in developing habitat models for applications such as conservation planning.
Keywords:Habitat  Logistic regression  Multiscale analysis  Nest site use   Nipponia nippon   Geographic information system  Reintroduction  Scaling  Semivariogram
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