Gradients in richness and turnover of a forest passerine's diet prior to breeding: A mixed model approach applied to faecal metabarcoding data
暂无分享,去创建一个
J. Hadfield | A. Phillimore | G. Stone | M. Burgess | U. Trivedi | J. Nicholls | Albert B. Phillimore | Jack D. Shutt
[1] Francis K. C. Hui,et al. gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r , 2019, Methods in Ecology and Evolution.
[2] A. Phillimore,et al. A Spatial Perspective on the Phenological Distribution of the Spring Woodland Caterpillar Peak , 2019, The American Naturalist.
[3] S. Prosser,et al. DNA metabarcoding allows non-invasive identification of arthropod prey provisioned to nestling Rufous hummingbirds (Selasphorus rufus) , 2019, PeerJ.
[4] P. Välimäki,et al. From feces to data: A metabarcoding method for analyzing consumed and available prey in a bird‐insect food web , 2018, Ecology and evolution.
[5] A. Phillimore,et al. The effects of woodland habitat and biogeography on blue tit Cyanistes caeruleus territory occupancy and productivity along a 220 km transect , 2018 .
[6] Vanessa A. Mata,et al. How much is enough? Effects of technical and biological replication on metabarcoding dietary analysis , 2018, Molecular ecology.
[7] T. Nuttle,et al. Stream acidification and reduced aquatic prey availability are associated with dietary shifts in an obligate riparian Neotropical migratory songbird , 2018, PeerJ.
[8] Samantha G. Robinson,et al. Identifying the diet of a declining prairie grouse using DNA metabarcoding , 2018, The Auk.
[9] D. Lodge,et al. Estimating fish alpha- and beta-diversity along a small stream with environmental DNA metabarcoding , 2018 .
[10] B. Deagle,et al. Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data? , 2018, bioRxiv.
[11] T. Nuttle,et al. DNA metabarcoding of nestling feces reveals provisioning of aquatic prey and resource partitioning among Neotropical migratory songbirds in a riparian habitat , 2018, Oecologia.
[12] I. Masters. Field Guide to the Moths of Great Britain and Ireland, third edition, by Paul Waring & Martin Townsend; illustrated by Richard Lewington , 2018 .
[13] Antton Alberdi,et al. Scrutinizing key steps for reliable metabarcoding of environmental samples , 2018 .
[14] Casper W. Berg,et al. glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling , 2017, R J..
[15] Anna Norberg,et al. How to make more out of community data? A conceptual framework and its implementation as models and software. , 2017, Ecology letters.
[16] Robert K. Colwell,et al. Elevational species richness gradients in a hyperdiverse insect taxon: a global meta-study on geometrid moths , 2017 .
[17] Miguel B. Araújo,et al. Resource tracking within and across continents in long-distance bird migrants , 2017, Science Advances.
[18] J. Forrest. Complex responses of insect phenology to climate change. , 2016, Current opinion in insect science.
[19] Jelmer M. Samplonius,et al. Phenological mismatch and ontogenetic diet shifts interactively affect offspring condition in a , 2016 .
[20] P. Kjellander,et al. Diet Assessment Based on Rumen Contents: A Comparison between DNA Metabarcoding and Macroscopy , 2016, PloS one.
[21] T. Nuttle,et al. Molecular analysis of nestling diet in a long-distance Neotropical migrant, the Louisiana Waterthrush (Parkesia motacilla) , 2016, The Auk.
[22] P. Brown,et al. Using Next-Generation Sequencing to Contrast the Diet and Explore Pest-Reduction Services of Sympatric Bird Species in Macadamia Orchards in Australia , 2016, PloS one.
[23] Francis K. C. Hui,et al. So Many Variables: Joint Modeling in Community Ecology. , 2015, Trends in ecology & evolution.
[24] W. Symondson,et al. Molecular analysis of faecal samples from birds to identify potential crop pests and useful biocontrol agents in natural areas. , 2015, Bulletin of entomological research.
[25] Julie A. Jedlicka,et al. Protocols for metagenomic DNA extraction and Illumina amplicon library preparation for faecal and swab samples , 2014, Molecular ecology resources.
[26] Elizabeth L Clare,et al. Molecular detection of trophic interactions: emerging trends, distinct advantages, significant considerations and conservation applications , 2014, Evolutionary applications.
[27] Paul Verrier,et al. Long-term phenological trends, species accumulation rates, aphid traits and climate: five decades of change in migrating aphids , 2014, The Journal of animal ecology.
[28] Elizabeth L Clare,et al. An inordinate fondness for beetles? Variation in seasonal dietary preferences of night‐roosting big brown bats (Eptesicus fuscus) , 2014, Molecular ecology.
[29] J. Sedlock,et al. Island bat diets: does it matter more who you are or where you live? , 2014, Molecular ecology.
[30] François Fabianek,et al. The diet of Myotis lucifugus across Canada: assessing foraging quality and diet variability , 2014, Molecular ecology.
[31] Jonathan D. G. Jones,et al. Assemblage Time Series Reveal Biodiversity Change but Not Systematic Loss , 2018 .
[32] P. Taberlet,et al. DNA metabarcoding multiplexing and validation of data accuracy for diet assessment: application to omnivorous diet , 2014, Molecular ecology resources.
[33] G. Walther,et al. A model‐based approach to studying changes in compositional heterogeneity , 2014 .
[34] Robert C. Edgar,et al. UPARSE: highly accurate OTU sequences from microbial amplicon reads , 2013, Nature Methods.
[35] Lounès Chikhi,et al. A DNA Metabarcoding Study of a Primate Dietary Diversity and Plasticity across Its Entire Fragmented Range , 2013, PloS one.
[36] Julie A. Jedlicka,et al. Molecular tools reveal diets of insectivorous birds from predator fecal matter , 2013, Conservation Genetics Resources.
[37] Sayan Mukherjee,et al. Dissecting High-Dimensional Phenotypes with Bayesian Sparse Factor Analysis of Genetic Covariance Matrices , 2012, Genetics.
[38] N. Baeshen,et al. Biological Identifications Through DNA Barcodes , 2012 .
[39] Douglas W. Yu,et al. Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring , 2012 .
[40] Jonathan Wright,et al. Climate change, breeding date and nestling diet: how temperature differentially affects seasonal changes in pied flycatcher diet depending on habitat variation. , 2012, The Journal of animal ecology.
[41] P. Taberlet,et al. Who is eating what: diet assessment using next generation sequencing , 2012, Molecular ecology.
[42] P. Taberlet,et al. Towards next‐generation biodiversity assessment using DNA metabarcoding , 2012, Molecular ecology.
[43] Elizabeth L Clare,et al. High-throughput sequencing offers insight into mechanisms of resource partitioning in cryptic bat species , 2011, Ecology and evolution.
[44] T. Wesol̸owski,et al. Nestling Food of European Hole-Nesting Passerines: Do We Know Enough to Test the Adaptive Hypotheses on Breeding Seasons? , 2011 .
[45] Johannes Oehm,et al. Molecular scatology: how to improve prey DNA detection success in avian faeces? , 2011, Molecular ecology resources.
[46] Kristine Bohmann,et al. Molecular Diet Analysis of Two African Free-Tailed Bats (Molossidae) Using High Throughput Sequencing , 2011, PloS one.
[47] Shinichi Nakagawa,et al. Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists , 2010, Biological reviews of the Cambridge Philosophical Society.
[48] J. Hadfield,et al. General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi‐trait models for continuous and categorical characters , 2010, Journal of evolutionary biology.
[49] Jarrod D. Hadfield,et al. MCMC methods for multi-response generalized linear mixed models , 2010 .
[50] P. Hebert,et al. Species on the menu of a generalist predator, the eastern red bat (Lasiurus borealis): using a molecular approach to detect arthropod prey , 2009, Molecular ecology.
[51] C. Perrins. Tits and their caterpillar food supply , 2008 .
[52] R. McCleery,et al. Adaptive Phenotypic Plasticity in Response to Climate Change in a Wild Bird Population , 2008, Science.
[53] J. Gibb. FEEDING ECOLOGY OF TITS, WITH NOTES ON TREECREEPER AND GOLDCREST. , 2008 .
[54] A. Baselga. Determinants of species richness, endemism and turnover in European longhorn beetles , 2008 .
[55] Robert K. Colwell,et al. Abundance‐Based Similarity Indices and Their Estimation When There Are Unseen Species in Samples , 2006, Biometrics.
[56] V. Novotný,et al. From communities to continents: beta diversity of herbivorous insects , 2005 .
[57] N. Pettorelli,et al. Timing and abundance as key mechanisms affecting trophic interactions in variable environments. , 2005, Ecology letters.
[58] T. Southwood,et al. Seasonality, abundance, species richness and specificity of the phytophagous guild of insects on oak (Quercus) canopies , 2004 .
[59] Kevin J. Gaston,et al. Measuring beta diversity for presence–absence data , 2003 .
[60] Jeremy R. deWaard,et al. Biological identifications through DNA barcodes , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[61] W. Symondson. Molecular identification of prey in predator diets , 2002, Molecular ecology.
[62] T. M. Bezemer,et al. Herbivory in global climate change research: direct effects of rising temperature on insect herbivores , 2002 .
[63] N. Stork,et al. An inordinate fondness for beetles , 2000 .
[64] P. Albert,et al. Models for longitudinal data: a generalized estimating equation approach. , 1988, Biometrics.
[65] T. R. E. Southwood,et al. The Guild Composition of Arthropod Communities in Trees , 1982 .
[66] E. Mayr. Handbook of the Birds of Europe, the Middle East and North Africa: The Birds of the Western Palearctic. Volume 1: Ostrich to Ducks. Stanley Cramp , 1978 .
[67] R. Whittaker. Evolution and measurement of species diversity , 1972 .
[68] J. Gibb,et al. Food and food supply of nestling tits (Paridae) in Breckland Pine , 1963 .
[69] M. M. Betts. The Food of Titmice in Oak Woodland , 1955 .
[70] Julie A. Jedlicka,et al. Molecular scatology and high-throughput sequencing reveal predominately herbivorous insects in the diets of adult and nestling Western Bluebirds (Sialia mexicana) in California vineyards , 2016, The Auk.
[71] C. Rahbek,et al. Resource specialists lead local insect community turnover associated with temperature - analysis of an 18-year full-seasonal record of moths and beetles. , 2016, The Journal of animal ecology.
[72] David L. Erickson,et al. DNA barcodes for ecology, evolution, and conservation. , 2015, Trends in ecology & evolution.
[73] G. Seravalli. The Spatial Perspective , 2015 .
[74] David L. Erickson,et al. DNA Barcodes , 2012, Methods in Molecular Biology.
[75] A. Baselga. Partitioning the turnover and nestedness components of beta diversity , 2010 .
[76] T. Ichie,et al. Beta-diversity of lepidopteran larval communities in a Japanese temperate forest: effects of phenology and tree species , 2007, Ecological Research.
[77] A. Solow,et al. Measuring biological diversity , 2006, Environmental and Ecological Statistics.
[78] Kevin M. Clarke,et al. Estimating Species Richness , 2005 .
[79] J. O H N,et al. Herbivory in global climate change research: direct effects of rising temperature on insect herbivores , 2001 .
[80] C. Kennedy,et al. The number of species of insects associated with British trees: a re-analysis. , 1984 .
[81] P. J. Huber. The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .
[82] R. McLachlan. The Number of Species of Insects , 1877, Nature.