Community distance sampling models allowing for imperfect detection and temporary emigration
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[1] Brett J Furnas,et al. Detecting diversity: emerging methods to estimate species diversity. , 2014, Trends in ecology & evolution.
[2] Ben Collen,et al. Global effects of land use on local terrestrial biodiversity , 2015, Nature.
[3] Colleen M Handel,et al. Evaluating species richness: Biased ecological inference results from spatial heterogeneity in detection probabilities. , 2015, Ecological applications : a publication of the Ecological Society of America.
[4] Marc Kéry,et al. Estimating Abundance From Bird Counts: Binomial Mixture Models Uncover Complex Covariate Relationships , 2008 .
[5] Victoria J. Burton,et al. Has land use pushed terrestrial biodiversity beyond the planetary boundary? A global assessment , 2016, Science.
[6] C. Marshall,et al. Has the Earth’s sixth mass extinction already arrived? , 2011, Nature.
[7] J. Andrew Royle,et al. Modelling community dynamics based on species‐level abundance models from detection/nondetection data , 2011 .
[8] Marc Kéry,et al. Study of biological communities subject to imperfect detection: bias and precision of community N-mixture abundance models in small-sample situations , 2016, Ecological Research.
[9] Fabrice DeClerck,et al. Functional richness and ecosystem services: bird predation on arthropods in tropical agroecosystems. , 2009, Ecological applications : a publication of the Ecological Society of America.
[10] T. O. Crist,et al. Partitioning Species Diversity across Landscapes and Regions: A Hierarchical Analysis of α, β, and γ Diversity , 2003, The American Naturalist.
[11] Jon Loman,et al. Birds in a Farmland—More Species in Small than in Large Habitat Island , 1991 .
[12] Yrjö Haila,et al. Calculating and miscalculating density: the role of habitat geometry , 1988 .
[13] Viviana Ruiz-Gutierrez,et al. Occupancy dynamics in a tropical bird community: unexpectedly high forest use by birds classified as non‐forest species , 2010 .
[14] H. Possingham,et al. IMPROVING PRECISION AND REDUCING BIAS IN BIOLOGICAL SURVEYS: ESTIMATING FALSE‐NEGATIVE ERROR RATES , 2003 .
[15] J. Andrew Royle,et al. Inference about density and temporary emigration in unmarked populations. , 2011, Ecology.
[16] Richard L Hutto. Reply to Marques et al. (2017): how to best handle potential detectability bias. , 2017, Ecological applications : a publication of the Ecological Society of America.
[17] Model-based approaches to deal with detectability: a comment on Hutto (2016a). , 2017, Ecological applications : a publication of the Ecological Society of America.
[18] J. Andrew Royle,et al. A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts , 2014 .
[19] Michael A. Huston,et al. Disturbance, productivity, and species diversity: empiricism vs. logic in ecological theory , 2014 .
[20] K. Pollock,et al. Factors affecting aural detections of songbirds. , 2007, Ecological applications : a publication of the Ecological Society of America.
[21] Jeffrey A. Stratford,et al. Gulliver travels to the fragmented tropics: geographic variation in mechanisms of avian extinction , 2005 .
[22] J. Andrew Royle,et al. Biodiversity of man-made open habitats in an underused country: a class of multispecies abundance models for count data , 2012, Biodiversity and Conservation.
[23] Frances C. James,et al. Relationships between Temperate Forest Bird Communities and Vegetation Structure , 1982 .
[24] Earl D. McCoy,et al. The Statistics and Biology of the Species-Area Relationship , 1979, The American Naturalist.
[25] J Andrew Royle,et al. Estimating species – area relationships by modeling abundance and frequency subject to incomplete sampling , 2016, Ecology and evolution.
[26] Robert K. Colwell,et al. Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness , 2001 .
[27] R. Macarthur,et al. On Bird Species Diversity , 1961 .
[28] Yuichi Yamaura,et al. Confronting Imperfect Detection: Behavior of Binomial Mixture Models under Varying Circumstances of Visits, Sampling Sites, Detectability, and Abundance, in Small-Sample Situations , 2013 .
[29] Duane A. Meeter,et al. TESTS FOR AGGREGATION AND SIZE-BASED SAMPLE-UNIT SELECTION WHEN SAMPLE UNITS VARY IN SIZE , 1997 .
[30] Robert J. Cooper,et al. TERRITORY SIZE OF A MIGRATORY SONGBIRD IN RESPONSE TO CATERPILLAR DENSITY AND FOLIAGE STRUCTURE , 2004 .
[31] Paul Hendricks,et al. A Fixed-Radius Point Count Method for Nonbreeding and Breeding-Season Use , 1986 .
[32] Richard L Hutto,et al. Should scientists be required to use a model-based solution to adjust for possible distance-based detectability bias? , 2016, Ecological applications : a publication of the Ecological Society of America.
[33] Jim Schieck,et al. Biased detection of bird vocalizations affects comparisons of bird abundance among forested habitats , 1997 .
[34] J. Nichols,et al. Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions , 2009 .
[35] J. Andrew Royle. N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts , 2004, Biometrics.
[36] H. Haberl,et al. Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems , 2007, Proceedings of the National Academy of Sciences.
[37] Erle C. Ellis,et al. Putting people in the map: anthropogenic biomes of the world , 2008 .
[38] Erin M. Bayne,et al. Experimental evidence for an ideal free distribution in a breeding population of a territorial songbird , 2013 .
[39] D. Borchers,et al. Distance sampling detection functions: 2D or not 2D? , 2017, Biometrics.
[40] Rahel Sollmann,et al. A hierarchical distance sampling model to estimate abundance and covariate associations of species and communities , 2016 .