bibliography.bib

@book{crawley,
author = {Crawley, Michael J.},
title = {The {R} Book},
year = {2012},
isbn = {0470973927},
publisher = {Wiley Publishing},
edition = {2nd}
}

@article{lily,
 ISSN = {00129658, 19399170},
 URL = {http://www.jstor.org/stable/2265776},
 author = {James D. Thomson and George Weiblen and Barbara A. Thomson and Satie Alfaro and Pierre Legendre},
 journal = {Ecology},
 number = {6},
 pages = {1698--1715},
 publisher = {Ecological Society of America},
 title = {Untangling Multiple Factors in Spatial Distributions: Lilies, Gophers, and Rocks},
 volume = {77},
 year = {1996}
}

@article{goby,
author = {Forrester, Graham E. and Steele, Mark A.},
title = {PREDATORS, PREY REFUGES, AND THE SPATIAL SCALING OF DENSITY-DEPENDENT PREY MORTALITY},
journal = {Ecology},
volume = {85},
number = {5},
pages = {1332-1342},
doi = {https://doi.org/10.1890/03-0184},
url = {https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/03-0184},
eprint = {https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/03-0184},
year = {2004}
}

@misc{weiss,
    author = {Jack Weiss},
    title = {{Ecology 563}},
    year = {2012},
    note = {\url{https://sakai.unc.edu/access/content/group/3d1eb92e-7848-4f55-90c3-7c72a54e7e43/public/index.html}, accessed 2020-12-01},
}

@article{houston,
author = { Derek D.   Houston  and  Mark C.   Belk },
title = {Geographic Variation in Somatic Growth of Redside Shiner},
journal = {Transactions of the American Fisheries Society},
volume = {135},
number = {3},
pages = {801-810},
year  = {2006},
publisher = {Taylor & Francis},
doi = {10.1577/T05-082.1},
URL = {https://doi.org/10.1577/T05-082.1},
eprint = {https://doi.org/10.1577/T05-082.1}
}

@Book{bolker,
    title = {Ecological Models and Data in {R}},
    author = {Benjamin M. Bolker},
    year = {2008},
    publisher = {Princeton University Press},
}

@article{mcnickle,
    author = {McNickle, Gordon G. and Brown, Joel S.},
    title = "{When Michaelis and Menten met Holling: towards a mechanistic theory of plant nutrient foraging behaviour}",
    journal = {AoB PLANTS},
    volume = {6},
    year = {2014},
    month = {12},
    issn = {2041-2851},
    doi = {10.1093/aobpla/plu066},
    url = {https://doi.org/10.1093/aobpla/plu066},
    note = {plu066},
    eprint = {https://academic.oup.com/aobpla/article-pdf/doi/10.1093/aobpla/plu066/23709392/plu066.pdf},
}

@article{olson,
author = {Olson, Jerry S.},
title = {Energy Storage and the Balance of Producers and Decomposers in Ecological Systems},
journal = {Ecology},
volume = {44},
number = {2},
pages = {322-331},
doi = {https://doi.org/10.2307/1932179},
url = {https://esajournals.onlinelibrary.wiley.com/doi/abs/10.2307/1932179},
eprint = {https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.2307/1932179},
year = {1963}
}

@book{islr,
  added-at = {2019-10-12T20:03:56.000+0200},
  author = {James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert},
  biburl = {https://www.bibsonomy.org/bibtex/2444186c86d18bddb4433c12fa126f6be/lopusz_kdd},
  interhash = {b3febabdc45a8629023cee7323dfbd86},
  intrahash = {444186c86d18bddb4433c12fa126f6be},
  keywords = {general_machine_learning},
  publisher = {Springer},
  timestamp = {2019-10-12T23:45:37.000+0200},
  title = {An Introduction to Statistical Learning: with Applications in R },
  url = {https://faculty.marshall.usc.edu/gareth-james/ISL/},
  year = 2013
}

@article{ver2007,
  title={Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?},
  author={Ver Hoef, Jay M and Boveng, Peter L},
  journal={Ecology},
  volume={88},
  number={11},
  pages={2766--2772},
  year={2007},
  publisher={Wiley Online Library}
}

@misc{soares20,
  title={Exploring predictors’ importance in binomial logistic regressions},
  author={Soares, Filipa Coutinho},
  year={2020},
  url={https://cran.r-project.org/web/packages/dominanceanalysis/vignettes/da-logistic-regression.html}
  }

@article{pacsil,
 ISSN = {00129615},
 URL = {http://www.jstor.org/stable/1943028},
 author = {Stephen W. Pacala and J. A. Silander},
 journal = {Ecological Monographs},
 number = {1},
 pages = {113--134},
 publisher = {Ecological Society of America},
 title = {Field Tests of Neighborhood Population Dynamic Models of Two Annual Weed Species},
 volume = {60},
 year = {1990}
}

@article{krwck,
author = {Kenward, Benjamin and Rutz, Christian and Weir, Alex A. S. and Chappell, Jackie and Kacelnik, Alex},
title = {Morphology and sexual dimorphism of the New Caledonian Crow Corvus moneduloides, with notes on its behaviour and ecology},
journal = {Ibis},
volume = {146},
number = {4},
pages = {652-660},
doi = {https://doi.org/10.1111/j.1474-919x.2004.00299.x},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1474-919x.2004.00299.x},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1474-919x.2004.00299.x},
year = {2004}
}

@book{cohen,
author = {Cohen, J},
year =  1988,
title = {Statistical Power Analysis for the Behavioral Sciences (2nd ed.)},
publisher = {Routledge},
doi = {https://doi.org/10.4324/9780203771587}
}

@Article{brms,
title = {Advanced {Bayesian} Multilevel Modeling with the {R} Package {brms}},
author = {Paul-Christian Bürkner},
journal = {The R Journal},
year = {2018},
volume = {10},
number = {1},
pages = {395--411},
doi = {10.32614/RJ-2018-017},
encoding = {UTF-8},
}

@article{owls,
title = {Nestling barn owls beg more intensely in the presence of their mother than in the presence of their father},
journal = {Animal Behaviour},
volume = {74},
number = {4},
pages = {1099-1106},
year = {2007},
issn = {0003-3472},
doi = {https://doi.org/10.1016/j.anbehav.2007.01.027},
url = {https://www.sciencedirect.com/science/article/pii/S0003347207002801},
author = {Alexandre Roulin and Louis-Felix Bersier}
}

@book{zuur2009mixed,
  title={Mixed Effects Models and Extensions in Ecology with R},
  author={Zuur, A. and Ieno, E.N. and Walker, N. and Saveliev, A.A. and Smith, G.M.},
  isbn={9780387874586},
  lccn={2008942429},
  series={Statistics for Biology and Health},
  url={https://books.google.com/books?id=vQUNprFZKHsC},
  year={2009},
  publisher={Springer New York}
}

@article{salamanders,
author = {Price, Steven J. and Muncy, Brenee' L. and Bonner, Simon J. and Drayer, Andrea N. and Barton, Christopher D.},
title = {Effects of mountaintop removal mining and valley filling on the occupancy and abundance of stream salamanders},
journal = {Journal of Applied Ecology},
date = {2016},
volume = {53},
number = {2},
pages = {459-468},
keywords = {amphibians, Appalachia, coal mining, hurdle model, land use, mountaintop removal mining, reclamation, salamander, valley filling, water quality},
doi = {https://doi.org/10.1111/1365-2664.12585}
}

@book{islr2,
  title={An Introduction to Statistical Learning: with Applications in {R}},
  author={James, G. and Witten, D. and Hastie, T. and Tibshirani, R.},
  isbn={9781071614174},
  series={Springer Texts in Statistics},
  url={https://books.google.com/books?id=g5gezgEACAAJ},
  year={2021},
  publisher={Springer US}
}

@techreport{resumes,
 title = "Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination",
 author = "Bertrand, Marianne and Mullainathan, Sendhil",
 institution = "National Bureau of Economic Research",
 type = "Working Paper",
 series = "Working Paper Series",
 number = "9873",
 year = "2003",
 month = "July",
 doi = {10.3386/w9873},
 URL = "http://www.nber.org/papers/w9873",
 abstract = {We perform a field experiment to measure racial discrimination in the labor market.  We respond with fictitious resumes to help-wanted ads in Boston and Chicago newspapers.  To manipulate perception of race, each resume is assigned either a very African American sounding name or a very White sounding name.  The results show significant discrimination against African-American names: White names receive 50 percent more callbacks for interviews.  We also find that race affects the benefits of a better resume.  For White names, a higher quality resume elicits 30 percent more callbacks whereas for African Americans, it elicits a far smaller increase.  Applicants living in better neighborhoods receive more callbacks but, interestingly, this effect does not differ by race.  The amount of discrimination is uniform across occupations and industries.  Federal contractors and employers who list  Equal Opportunity Employer' in their ad discriminate as much as other employers.  We find little evidence that our results are driven by employers inferring something other than race, such as social class, from the names.  These results suggest that racial discrimination is still a prominent feature of the labor market.},
}