Inference About Species Richness and Community Structure Using Species-Specific Occupancy Models in the National Swiss Breeding Bird Survey MHB

97 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, background): “…is composed of species that respond to environmental conditions somewhat similarly but not identically, regression coefficient parameters can be modelled as species random effects, i.e. realizations from a common distribution with (hyper)parameters that are to be estimated (Kéry and Royle 2009).”
Occupancy dynamics in a tropical bird community: unexpectedly high forest use by birds classified as non‐forest species (2010, background): “In regions with similar topography and species distributions along elevational gradients, elevation has been successfully applied as a surrogate for key habitat variables that inﬂuence distribution and abundance (Ke´ry & Royle 2009).”
French citizens monitoring ordinary birds provide tools for conservation and ecological sciences (2012, methodology): “Only Switzerland has a systematic sampling design monitoring (Kéry et al., 2005).”