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TRASTORNOS ESPACIALES

In document Apraxias y Agnosias RNNN Vol 15(1), 2015 (página 83-90)

Departamento de Psicología, Florida Atlantic University Davie, Florida,

TRASTORNOS ESPACIALES

Jamie Kirkpatrick (University of Tasmania, Australia) provided insights and constructive 

criticism at all stages of this research. Andrew Silcocks and Mike Weston (BirdLife Australia) facilitated access to the Birds Australia ‘Atlas II’ database. Amy Hahs (Australian Research 

Centre for Urban Ecology) provided access to her dataset of remotely sensed landscape metrics. Jukka Jokimäki (University of Lapland, Finland) for suggesting this line of enquiry.

 

REFERENCES

Anderson D R. ().Model based inference in the life sciences: A primer on evidence.Springer, New York. Blair R B. (). Land use and avian species diversity along an urban gradient,Ecological Applications,,



–.

Barrett G W, Silcocks A, Barry S, Cunningham R B, Poulter R. ().The new atlas of Australian birds,



Royal Australasian Ornithologists Union, Hawthorn East. BrinkhoffD. (). Major agglomerations of the world,



http://www.citypopulation.de/world/Agglomerations.html, Consulted//. Burnham K P, Anderson D R. ().Model selection and multimodel inference: A practical 

information-theoretic approach.Springer, New York.

Calcagno V, de Mazancourt C. (). glmulti: An R Package for Easy Automated Model Selection with



(Generalized) Linear Models.Journal of Statistical Software,(),–.

Carette M, Tella J L. (). Inter-individual variability in fear of humans and relative brain size of the



species are related to contemporary urban invasion in birds,PLoS One,(), e.

Chace J, Walsh J. (). Urban effects on native avifauna: a review,Landscape and Urban Planning,,



–.

Conole L E, Kirkpatrick J B. (). Functional and spatial differentiation of urban bird assemblages at the



landscape scaleLandscape and Urban Planning,,–.

Conole L E. (). Diverse Responses of Exotic Birds to UrbanizationNatureza & Conservação,,–.



Conole L E. (). Degree of adaptive response in urban tolerant birds shows influence of habitat–of–originPeerJ,, e.



Diamond J M. (). Rapid evolution of urban birds.Nature,,–.

Feldman B. (). “Relative Importance and Value.” Manuscript version.,--.



http://www.prismanalytics.com/docs/RelativeImportance.pdf.

Fernández-Juricic E, Blumstein D T, Abrica G, Manriquez L, Bandy–Adams L, Adams R, Daneshrad M,



Rodriguez-Prieto I. () Relationships of anti-predator escape and post-escape responses with body mass and morphology: a comparative avian study.Evolutionary Ecology Research,,–.



Garamszegi L Z, Calhim S, Dochtermann N, Hegyi G, Hurd P L, Jørgensen C, Kutsukake N, Lajeunesse M J, Pollard K A, Schielzeth H, Symonds M R E, Nakagawal S. (). Changing philosophies and tools for





Conole•Fearfulness & bird urbanisation in an Australian metropolis

Graves S, Piepho H -P, Selzer L, Dorai–Raj S. (). multcompView: Visualizations of Paired



Comparisons. R package version.-. http://CRAN.R-project.org/package=multcompView

Grimm N B, Faeth S H, Golubiewski N E, Redman C L, Wu J, Bai X, Briggs J M. (). Global change and



the ecology of cities.Science,,–.

Grömping U. (). Relative Importance for Linear Regression in R: The Package relaimpo.Journal of 

Statistical Software,(),–.

Hahs A K, McDonnell M J. (). Selecting independent measures to quantify Melbourne’s urban-rural



gradient,Landscape and Urban Planning,,–.

Lindeman R H, Merenda P F, Gold R Z. ().Introduction to Bivariate and Multivariate Analysis. 

University of Michigan, Michigan.

McDonnell M J, Hahs A K. (). The future of urban biodiversity research: Moving beyond the



‘low-hanging fruit’.Urban Ecosystems,,–.

Møller A P. (). Flight distance of urban birds, predation and selection for urban life. Behavioral 

Ecology and Sociobiology,,–.

Møller A P. (). Successful city dwellers: a comparative study of the ecological characteristics of urban



birds in the Western Palearctic.Oecologia,,–.

Møller A P. (). Interspecific variation in fear responses predicts urbanization in birds.Behavioral 

Ecology,,–.

Møller A P. (). Birds. In: Cooper WE Jr, Blumstein DT, editors.Escaping from predators: an integrative 

view of escape decisions and refuge use.Cambridge University Press, Cambridge (UK).

Møller A P, Diaz M, Flensted-Jensen E, Grim T, Ibáñez-Álamo J D, Jokimäki J, Markó G, Tryjanowski P.



(). High urban population density of birds reflects their timing of urbanization.Oecologia,,

–.



R Core Team. (). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available at http://www.R-project.org/.



Sarkar D. ().Lattice: Multivariate Data Visualization with R.Springer, New York.

Seto K C, Güneralp B, Hutyra L R. (). Global forecasts of urban expansion toand direct impacts



on biodiversity and carbon pools.PNAS,(),–.

Sol D, González-Lagos C, Moreira D, Maspons J, Lapiedra O. (). Urbanisation tolerance and the loss



 

United Nations. ().World Urbanization Prospects: TheRevision, United Nations Department of



Economic and Social Affairs, Population Division, New York.

Wickham H. ().ggplot: elegant graphics for data analysis.Springer, New York.



Conole•Fearfulness & bird urbanisation in an Australian metropolis Table: Correlation matrix — model terms.

Model term mFID σ Mass cvFID Incidence

mFID . . . . .

σ . . . . .

Mass . . . . –.

cvFID . . . . .

Incidence . . –. . .

Table: Relative importance of model terms —relaimpoanalysis. Proportion of variance explained by model =.%

Predictor lmg pmvd last first

mFID . . . .

σ . . . .

Mass . . . .

cvFID . . . .

Table: Linear regression model selection output ranked byAICc—best models.

Model AICc Weights

Incidence ~ +cvFID –. .

Incidence ~ +cvFID+ Mass –. .

Incidence ~ +cvFID+σ –. .

Incidence ~ +cvFID+mFID –. .

Incidence ~ +cvFID+mFID+ Mass –. .

Incidence ~ +cvFID+ Mass +σ –. .

Incidence ~ +cvFID+mFID+σ –. .

Incidence ~ +cvFID+mFID+ Mass +σ –. .

Incidence ~ +mFID+σ –. .

Incidence ~ +σ –. .

Table: Kruskal-Wallis test results on FID and bird mass by clade Variable Kruskal-Wallisχ DF p–value

cvFID .  .

mFID .  .

 



Conole•Fearfulness & bird urbanisation in an Australian metropolis Figure: Strip plots of model term values

(a) Mean Flight Initiation Distance (mFID) plotted by urban tolerance clade

(b) Flight Initiation Distance Coefficient of Variation (cvFID) plotted by urban tolerance clade

 

Figure: Relative importance of model terms (MFID =mFID, SD =σ, Mass = bird mass (g),

CVFID =cvFID).

Figure: Summarised multiple paired comparisons ofmFIDby Clade. Clades which share



Conole•Fearfulness & bird urbanisation in an Australian metropolis

Figure: Positive correlation between the Coefficient of Variation of FID,cvFID(= CVFID),

and relative abundance (= INCIDENCE), R=., F

,=., p=.. Regression plot

plus% confidence intervals.

 “. . . We

papered the world with numbers and names, but things survived . . . ” ‘Ode to Numbers’

Pablo Neruda ‘Elemental Odes’ (–)

CHAPTER:

In document Apraxias y Agnosias RNNN Vol 15(1), 2015 (página 83-90)