REFERENCES
Almeida-Rocha, J. M. de, & Peres, C. A. (2021). Nominally protected
buffer zones around tropical protected areas are as highly degraded as
the wider unprotected countryside. Biological Conservation ,256 , 109068. https://doi.org/10.1016/j.biocon.2021.109068
Alvares, C. A., Stape, J. L., Sentelhas, P. C., Gonçalves, J. L. de M.,
& Sparovek, G. (2013). Köppen’s climate classification map for Brazil.Meteorologische Zeitschrift , 22 (6), 711–728.
https://doi.org/10.1127/0941-2948/2013/0507
Antonelli, A., Kissling, W. D., Flantua, S. G. A., Bermúdez, M. A.,
Mulch, A., Muellner-Riehl, A. N., Kreft, H., Linder, H. P., Badgley, C.,
Fjeldså, J., Fritz, S. A., Rahbek, C., Herman, F., Hooghiemstra, H., &
Hoorn, C. (2018). Geological and climatic influences on mountain
biodiversity. Nature Geoscience , 11 (10), 718–725.
https://doi.org/10.1038/s41561-018-0236-z
Araújo, M. B., & Guisan, A. (2006). Five (or so) challenges for species
distribution modelling. Journal of Biogeography , 33 (10),
1677–1688. https://doi.org/10.1111/j.1365-2699.2006.01584.x
Barros, O. G., & Cintra, R. (2009). The effects of forest structure on
occurrence and abundance of three owl species (Aves: Strigidae) in the
Central Amazon forest. Zoologia , 26 , 85–96.
Barve, N., Barve, V., Jiménez-Valverde, A., Lira-Noriega, A., Maher, S.
P., Peterson, A. T., Soberón, J., & Villalobos, F. (2011). The crucial
role of the accessible area in ecological niche modeling and species
distribution modeling. Ecological Modelling , 222 (11),
1810–1819. https://doi.org/10.1016/j.ecolmodel.2011.02.011
Bashta, A.-T. (2009). Ural Owl Strix uralensis population
dynamics and range expansion in Western Ukraine. Ardea ,97 (4), 483–487. https://doi.org/10.5253/078.097.0412
Bean, W. T., Stafford, R., & Brashares, J. S. (2012). The effects of
small sample size and sample bias on threshold selection and accuracy
assessment of species distribution models. Ecography ,35 (3), 250–258. https://doi.org/10.1111/j.1600-0587.2011.06545.x
Becker, B. K. (2005). Geopolítica da Amazônia. Estudos Avançados ,19 , 71–86.
BirdLife International. (2019). IUCN Red List for birds .
http://www.birdlife.org
Boakes, E. H., McGowan, P. J. K., Fuller, R. A., Chang-qing, D., Clark,
N. E., O’Connor, K., & Mace, G. M. (2010). Distorted views of
biodiversity: Spatial and temporal bias in species occurrence data.PLOS Biology , 8 (6), 1–11.
https://doi.org/10.1371/journal.pbio.1000385
Bockheim, J. G., Gennadiyev, A. N., Hartemink, A. E., & Brevik, E. C.
(2014). Soil-forming factors and Soil Taxonomy. Geoderma ,226–227 , 231–237.
https://doi.org/10.1016/j.geoderma.2014.02.016
Booth, T. H., Nix, H. A., Busby, J. R., & Hutchinson, M. F. (2014).
Bioclim: The first species distribution modelling package, its early
applications and relevance to most current MaxEnt studies.Diversity and Distributions , 20 (1), 1–9.
https://doi.org/10.1111/ddi.12144
Braun, M., Robbins, M., Milensky, C., O’Shea, B., Barber, B., Hinds, W.,
& Prince, W. (2003). New birds for Guyana from Mts Roraima and
Ayanganna. Bulletin of the British Ornithologists’ Club ,123 (1), 24–33.
Bried, J. (2003). Impact of vagrant predators on the native fauna: A
Short-eared Owl (Asio flammeus ) preying on Madeiran Storm Petrels
(Oceanodroma castro ) in the Azores. Life and Marine
Sciences , 20A , 57–63.
Brito, D., Oliveira, L. C., Oprea, M., & Mello, M. A. R. (2009). An
overview of Brazilian mammalogy: Trends, biases and future directions.Zoologia (Curitiba) , 26 , 67–73.
Burgas, D., Byholm, P., & Parkkima, T. (2014). Raptors as surrogates of
biodiversity along a landscape gradient. Journal of Applied
Ecology , 51 (3), 786–794.
https://doi.org/10.1111/1365-2664.12229
Burnham, K. P., & Anderson, D. R. (2002). Model selection and
multimodel inference: A practical information-theoretic approach (2nd
ed.). Springer.
Cayuela, L., Golicher, D. J., Newton, A. C., Kolb, M., Alburquerque, F.
S. de, Arets, E. J. M. M., Alkemade, J. R. M., & Pérez, A. M. (2009).
Species distribution modeling in the Tropics: Problems, potentialities,
and the role of biological data for effective species conservation.Tropical Conservation Science , 2 (3), 319–352.
https://doi.org/10.1177/194008290900200304
dal Pizzol, G. E., Rezende, E., Kilpp, J. C., Ferretto, M. M., &
Rossato-Grando, L. G. (2020). Biomonitoring of Owls and their
environment using pellets and feathers. Bulletin of Environmental
Contamination and Toxicology , 105 (5), 685–691.
https://doi.org/10.1007/s00128-020-03024-3
Danielson, J. J., & Gesch, D. B. (2011). Global multi-resolution
terrain elevation data 2010 (GMTED2010) (Report No. 2011–1073;
Open-File Report). USGS Publications Warehouse.
https://doi.org/10.3133/ofr20111073
Dantas, M., Santana, A., Soares, L., & Sousa, S. (2013). Avifauna of
Serra Vermelha, southern Piauí, Brazil. Revista Brasileira de
Ornitologia , 20 (49), 199–214.
Dantas, S. M., Weckstein, J. D., Bates, J., Oliveira, J. N., Catanach,
T. A., & Aleixo, A. (2021). Multi-character taxonomic review,
systematics, and biogeography of the Black-capped/Tawny-bellied Screech
Owl (Megascops atricapilla —M. watsonii ) complex (Aves:
Strigidae). Zootaxa , 4949 (3), 401–444.
https://doi.org/10.11646/zootaxa.4949.3.1
Dayananda, S. K., Goodale, E., Lee, M.-B., Liu, J.-J., Mammides, C., O
Pasion, B., Quan, R.-C., W Ferry Slik, J., Sreekar, R., W Tomlinson, K.,
& Yasuda, M. (2016). Effects of forest fragmentation on nocturnal Asian
birds: A case study from Xishuangbanna, China. Zoological
Research , 37 (3), 151–158.
https://doi.org/10.13918/j.issn.2095-8137.2016.3.151
Delgado-Jaramillo, M., Aguiar, L. M. S., Machado, R. B., & Bernard, E.
(2020). Assessing the distribution of a species-rich group in a
continental-sized megadiverse country: Bats in Brazil. Diversity
and Distributions , 26 (5), 632–643.
https://doi.org/10.1111/ddi.13043
Develey, P. F., & Phalan, B. T. (2021). Bird extinctions in Brazil’s
Atlantic Forest and how they can be prevented. Frontiers in
Ecology and Evolution , 9 , 275.
https://doi.org/10.3389/fevo.2021.624587
Devictor, V., Julliard, R., Couvet, D., & Jiguet, F. (2008). Birds are
tracking climate warming, but not fast enough. Proceedings of the
Royal Society B: Biological Sciences , 275 (1652), 2743–2748.
https://doi.org/10.1098/rspb.2008.0878
Dickerman, R. W., & Phelps, William H. (1982). An annotated list of the
birds of Cerro Urutaní on the border of Estado Bolívar, Venezuela, and
Territorio Roraima, Brazil. American Museum Novitates , 1–20.
Donázar, J. A., Cortés-Avizanda, A., Fargallo, J. A., Margalida, A.,
Moleón, M., Morales-Reyes, Z., Moreno-Opo, R., Pérez-García, J. M.,
Sánchez-Zapata, J. A., Zuberogoitia, I., & Serrano, D. (2016). Roles of
raptors in a changing world: From flagships to providers of key
ecosystem services. Ardeola , 63 (1), 181–234.
https://doi.org/10.13157/arla.63.1.2016.rp8
Elith, J., & Leathwick, J. R. (2009). Species distribution models:
Ecological explanation and prediction across space and time.Annual Review of Ecology, Evolution, and Systematics ,40 (1), 677–697.
https://doi.org/10.1146/annurev.ecolsys.110308.120159
Enríquez, P. L. (2017). Neotropical owls: Diversity and
conservation . Springer.
http://gen.lib.rus.ec/book/index.php?md5=c88bfc5032c22756bfbc8dcb8c7d0000
Escobar, H. (2020). Deforestation in the Brazilian Amazon is still
rising sharply. Science , 369 (6504), 613–613.
https://doi.org/10.1126/science.369.6504.613
Fernández-Arellano, G. J., Teixido, A. L., Bernardon, B., Bueno, E. R.,
Ferreira, T. V., Gonçalves, S. R. A., Jesus, M., Thomas, K. P. C. S.,
Zucchetto, M., Piacentini, V. Q., & Pinho, J. B. (2021). Knowledge gaps
and biases in the Pantanal indicate future directions for ornithological
research in large wetlands. Ibis , 163 , 784–797.
https://doi.org/10.1111/ibi.12931
Fielding, A. H., & Bell, J. F. (1997). A review of methods for the
assessment of prediction errors in conservation presence/absence models.Environmental Conservation , 24 (1), 38–49.
https://doi.org/10.1017/S0376892997000088
Flade, M., & Lachmann, L. (2008). International species action plan for
the Aquatic Warbler Acrocephalus paludicola . BirdLife
International, Cambridge, UK .
Fluck, I. E., Cáceres, N., Hendges, C. D., Brum, M. do N., & Dambros,
C. S. (2020). Climate and geographic distance are more influential than
rivers on the beta diversity of passerine birds in Amazonia.Ecography , 43 (6), 860–868.
https://doi.org/10.1111/ecog.04753
Fourcade, Y., Engler, J. O., Besnard, A. G., Rödder, D., & Secondi, J.
(2013). Confronting expert-based and modelled distributions for species
with uncertain conservation status: A case study from the Corncrake
(Crex crex ). Biological Conservation , 167 ,
161–171. https://doi.org/10.1016/j.biocon.2013.08.009
Freeman, B. G., & Mason, N. A. (2015). The geographic distribution of a
tropical montane bird is limited by a tree: Acorn woodpeckers
(Melanerpes formicivorus ) and Colombian oaks (Quercus
humboldtii ) in the Northern Andes. PLOS ONE , 10 (6),
1–13. https://doi.org/10.1371/journal.pone.0128675
Fröhlich, A., & Ciach, M. (2018). Noise shapes the distribution pattern
of an acoustic predator. Current Zoology , 64 (5), 575–583.
https://doi.org/10.1093/cz/zox061
Fröhlich, A., & Ciach, M. (2019). Nocturnal noise and habitat
homogeneity limit species richness of owls in an urban environment.Environmental Science and Pollution Research , 26 (17),
17284–17291. https://doi.org/10.1007/s11356-019-05063-8
Gallo-Cajiao, E., Archibald, C., Friedman, R., Steven, R., Fuller, R.
A., Game, E. T., Morrison, T. H., & Ritchie, E. G. (2018). Crowdfunding
biodiversity conservation. Conservation Biology , 32 (6),
1426–1435. https://doi.org/10.1111/cobi.13144
Gaston, K., Blackburn, T., & Klein Goldewijk, K. (2003). Habitat
conversion and global avian biodiversity loss. Proceedings of the
Royal Society B: Biological Sciences , 270 , 1293–1300.
https://doi.org/10.1098/rspb.2002.2303
GBIF.org. (2019). GBIF Occurrence Download .
https://doi.org/10.15468/dl.5m0awm
Gill, F., Donsker, D., & Rasmussen, P. (2021). IOC World bird
list 11.1 [Data set]. World Bird Names.
https://doi.org/10.14344/IOC.ML.11.1
Gillespie, R. G., & Roderick, G. K. (2014). Geology and climate drive
diversification. Nature , 509 , 297.
https://doi.org/10.1038/509297a
Gómez Tapias, J., Schobbenhaus, C., & Montes Ramírez, N. (2019).Geological map of South America 2019 [Map]. Commission for
the Geological Map of the World (CGMW), Colombian Geological Survey, and
Geological Survey of Brazil.
https://rigeo.cprm.gov.br/jspui/handle/doc/21606
Grinnell, J. (1922). The role of the “accidental.” The Auk ,39 (3), 373–380. https://doi.org/10.2307/4073434
Handley, J., Rouyer, M.-M., Pearmain, E. J., Warwick-Evans, V., Teschke,
K., Hinke, J. T., Lynch, H., Emmerson, L., Southwell, C., Griffith, G.,
Cárdenas, C. A., Franco, A. M. A., Trathan, P., & Dias, M. P. (2021).
Marine Important Bird and Biodiversity Areas for Penguins in Antarctica,
targets for conservation action. Frontiers in Marine Science ,7 , 1190. https://doi.org/10.3389/fmars.2020.602972
Harvey, M. G., Seeholzer, G. F., Smith, B. T., Rabosky, D. L., Cuervo,
A. M., & Brumfield, R. T. (2017). Positive association between
population genetic differentiation and speciation rates in New World
birds. Proceedings of the National Academy of Sciences of the U S
A , 114 (24), 6328–6333. https://doi.org/10.1073/pnas.1617397114
Häuser, C. L. (1987). The debate about the biological species
concept—A review. Journal of Zoological Systematics and
Evolutionary Research , 25 (4), 241–257.
https://doi.org/10.1111/j.1439-0469.1987.tb00607.x
Haywood, B. T. (2010). The powerful owl, Ninox strenua(Strigidae), in South Australia. South Australian Ornithologist ,36 (1–2), 1–8.
Heibl, C., & Calenge, C. (2018). phyloclim: Integrating
phylogenetics and climatic niche modeling .
https://CRAN.R-project.org/package=phyloclim
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez,
M., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X.,
Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A.,
Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S.,
& Kempen, B. (2017). SoilGrids250m: Global gridded soil information
based on machine learning. PLOS ONE , 12 (2), 1–40.
https://doi.org/10.1371/journal.pone.0169748
Hortal, J., de Bello, F., Diniz-Filho, J. A. F., Lewinsohn, T. M., Lobo,
J. M., & Ladle, R. J. (2015). Seven shortfalls that beset large-scale
knowledge of biodiversity. Annual Review of Ecology, Evolution,
and Systematics , 46 (1), 523–549.
https://doi.org/10.1146/annurev-ecolsys-112414-054400
Hulshof, C. M., & Spasojevic, M. J. (2020). The edaphic control of
plant diversity. Global Ecology and Biogeography , 29 (10),
1634–1650. https://doi.org/10.1111/geb.13151
Hyde, N. H. S., Matthews, K., Thompson, M., & Gale, R. (2009). First
record of barn owls (Tyto alba ) breeding in the wild in New
Zealand. Notornis , 56 , 169–175.
IBGE. (2019). Biomas e sistema costeiro-marinho do Brasil
compatível com a escala 1:250 000 (Relatórios Metodológicos, Vol. 45,
p. 168). Instituto Brasileiro de Geografia e Estatística.
https://biblioteca.ibge.gov.br/visualizacao/livros/liv101676.pdf
Jenkins, C. N., Alves, M. A. S., Uezu, A., & Vale, M. M. (2015).
Patterns of vertebrate diversity and protection in Brazil. PLOS
ONE , 10 (12), 1–13. https://doi.org/10.1371/journal.pone.0145064
Jiménez-Valverde, A. (2012). Insights into the area under the receiver
operating characteristic curve (AUC) as a discrimination measure in
species distribution modelling. Global Ecology and Biogeography ,21 (4), 498–507. https://doi.org/10.1111/j.1466-8238.2011.00683.x
Kalwij, J. M., Medan, D., Kellermann, J., Greve, M., & Chown, S. L.
(2019). Vagrant birds as a dispersal vector in transoceanic range
expansion of vascular plants. Scientific Reports , 9 (1),
4655–4655. https://doi.org/10.1038/s41598-019-41081-9
Lambeck, R. J. (1997). Focal species: A multi-species umbrella for
nature conservation. Conservation Biology , 11 (4),
849–856. https://doi.org/10.1046/j.1523-1739.1997.96319.x
Le Stradic, S., Buisson, E., & Fernandes, G. W. (2015). Vegetation
composition and structure of some Neotropical mountain grasslands in
Brazil. Journal of Mountain Science , 12 (4), 864–877.
https://doi.org/10.1007/s11629-013-2866-3
Leal, D. C., & Assis, L. C. Á. R. (1993). Pulsatrix perspicillata
pulsatrix (Wied, 1820). In I. C. M. de C. da Biodiversidade (Ed.),Livro Vermelho da Fauna Brasileira Ameaçada de Extinção: Vol. III(pp. 201–213). ICMBio.
Leutner, B., Horning, N., & Schwalb-Willmann, J. (2018).RStoolbox: Tools for remote sensing data analysis .
https://CRAN.R-project.org/package=RStoolbox
Liu, C., Berry, P. M., Dawson, T. P., & Pearson, R. G. (2005).
Selecting thresholds of occurrence in the prediction of species
distributions. Ecography , 28 (3), 385–393.
https://doi.org/10.1111/j.0906-7590.2005.03957.x
Liu, C., White, M., & Newell, G. (2016). Selecting thresholds for the
prediction of species occurrence with presence-only data. Journal
of Biogeography , 40 (4), 778–789.
https://doi.org/10.1111/jbi.12058
Livezey, K. B. (2009a). Range expansion of Barred Owls, Part I:
Chronology and distribution. The American Midland Naturalist ,161 (1), 49–56. https://doi.org/10.1674/0003-0031-161.1.49
Livezey, K. B. (2009b). Range expansion of Barred Owls, Part II:
Facilitating ecological changes. The American Midland Naturalist ,161 (2), 323–349. https://doi.org/10.1674/0003-0031-161.2.323
Loiselle, B. A., Jørgensen, P. M., Consiglio, T., Jiménez, I., Blake, J.
G., Lohmann, L. G., & Montiel, O. M. (2008). Predicting species
distributions from herbarium collections: Does climate bias in
collection sampling influence model outcomes? Journal of
Biogeography , 35 (1), 105–116.
https://doi.org/10.1111/j.1365-2699.2007.01779.x
Mainali, K., Hefley, T., Ries, L., & Fagan, W. (2020). Matching expert
range maps with species distribution model predictions.Conservation Biology , 34 , 1292–1304.
https://doi.org/10.1111/cobi.13492
McGuire, J. A., Witt, C. C., Remsen, J. V., Jr., Corl, A., Rabosky, D.
L., Altshuler, D. L., & Dudley, R. (2014). Molecular phylogenetics and
the diversification of hummingbirds. Current Biology ,24 (8), 910–916. https://doi.org/10.1016/j.cub.2014.03.016
Mendes, P., Velazco, S. J. E., Andrade, A. F. A. de, & Marco, P. D.
(2020). Dealing with overprediction in species distribution models: How
adding distance constraints can improve model accuracy. Ecological
Modelling , 431 , 109180.
https://doi.org/10.1016/j.ecolmodel.2020.109180
Milensky, C. M., Robbins, M. B., Saucier, J. R., O’Shea, B. J.,
Radosavljevic, A., Davis, T. J., & Pierre, M. (2016). Notes on breeding
birds from the Guyana highlands with new records from a recent inventory
of Mount Ayanganna. Cotinga , 38 , 64–78.
Mishler, B. D. (2021). What, if anything, are species? Taylor &
Francis. https://doi.org/10.1201/9781315119687
Moerman, D. E., & Estabrook, G. F. (2006). The botanist effect:
Counties with maximal species richness tend to be home to universities
and botanists. Journal of Biogeography , 33 (11),
1969–1974. https://doi.org/10.1111/j.1365-2699.2006.01549.x
Mori, G. B., Poorter, L., Schietti, J., & Piedade, M. T. F. (2021).
Edaphic characteristics drive functional traits distribution in
Amazonian floodplain forests. Plant Ecology , 222 (3),
349–360. https://doi.org/10.1007/s11258-020-01110-4
Motta-Junior, J. C., & Braga, A. C. R. (2012). Estado del conocimiento
sobre la ecología y biología de búhos en Brasil. Ornitologia
Neotropical , 23 , 227–234.
Motta-Junior, J. C., Braga, A. C. R., & Granzinolli, M. A. M. (2017).
The Owls of Brazil. In P. L. Enriquez (Ed.), Neotropical Owls:
Diversity and Conservation (pp. 97–158). Springer International
Publishing. https://doi.org/10.1007/978-3-319-57108-9_6
Müller Rebelato, M., Hartmann, P., Cunha, G., & Machado, R. (2011).
Novo registro do caburé-acanelado (Aegolius harrisii ) no Bioma
Pampa, sul do Brasil. Biotemas , 24 (1), 105–107.
https://doi.org/10.5007/2175-7925.2011v24n1p105
Muscarella, R., Galante, P. J., Soley-Guardia, M., Boria, R. A., Kass,
J., Uriarte, M., & Anderson, R. P. (2014). ENMeval: An R package for
conducting spatially independent evaluations and estimating optimal
model complexity for ecological niche models. Methods in Ecology
and Evolution , 5 (11), 1198–1205.
Mysterud, I. (2016). Range extensions of some boreal owl species:
Comments on snow cover, ice crusts, and climate change. Arctic,
Antarctic, and Alpine Research , 48 (1), 213–219.
https://doi.org/10.1657/AAAR0015-041
Naimi, B. (2015). On uncertainty in species distribution
modelling [PhD Thesis, University of Twente].
https://doi.org/10.3990/1.9789036538404
Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G.,
& Alibakhshi, S. (2019). ELSA: An entropy-based local indicator of
spatial association. Spatial Statistics , 29 , 66–88.
https://doi.org/10.1016/j.spasta.2018.10.001
Nenzén, H. K., & Araújo, M. B. (2011). Choice of threshold alters
projections of species range shifts under climate change.Ecological Modelling , 222 (18), 3346–3354.
https://doi.org/10.1016/j.ecolmodel.2011.07.011
Nunes, J. A., Schaefer, C. E. G. R., Ferreira Júnior, W. G., Neri, A.
V., Correa, G. R., & Enright, N. J. (2015). Soil-vegetation
relationships on a banded ironstone “island”, Carajás Plateau,
Brazilian Eastern Amazonia. Anais Da Academia Brasileira de
Ciências , 87 , 2097–2110.
Oliveira, U., Soares-Filho, B. S., Paglia, A. P., Brescovit, A. D., de
Carvalho, C. J. B., Silva, D. P., Rezende, D. T., Leite, F. S. F.,
Batista, J. A. N., Barbosa, J. P. P. P., Stehmann, J. R., Ascher, J. S.,
de Vasconcelos, M. F., De Marco, P., Löwenberg-Neto, P., Ferro, V. G.,
& Santos, A. J. (2017). Biodiversity conservation gaps in the Brazilian
protected areas. Scientific Reports , 7 (1), 9141.
https://doi.org/10.1038/s41598-017-08707-2
Pärt, T., Arlt, D., & Villard, M.-A. (2007). Empirical evidence for
ecological traps: A two-step model focusing on individual decisions.Journal of Ornithology , 148 , 327–332.
https://doi.org/10.1007/s10336-007-0226-1
Paynter, R. A., & Traylor, Melvin A. (1991). Ornithological
gazetteer of Brazil: Vol. v.1 . Cambridge, Mass.: Obtainable from Bird
Dept., Museum of Comparative Zoology, Harvard University.
https://www.biodiversitylibrary.org/item/50711
Pereira, G. A. (2010). Avifauna associada a três lagoas temporárias no
estado do Rio Grande do Norte, Brasil. Atualidades Ornitológicas ,156 , 53–60.
Pereira, S. L., & Baker, A. J. (2004). Vicariant speciation of
Curassows (Aves, Cracidae): A hypothesis based on mitochondrial DNA
phylogeny. The Auk , 121 (3), 682–694.
https://doi.org/10.1642/0004-8038(2004)121[0682:VSOCAC]2.0.CO;2
Peterson, A. T., Soberón, J., & Sánchez-Cordero, V. (1999).
Conservatism of ecological niches in evolutionary time. Science ,285 (5431), 1265–1267.
https://doi.org/10.1126/science.285.5431.1265
Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E., & Blair,
M. E. (2017). Opening the black box: An open-source release of Maxent.Ecography , 40 (7), 887–893.
https://doi.org/10.1111/ecog.03049
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum
entropy modeling of species geographic distributions. Ecological
Modelling , 190 (3), 231–259.
https://doi.org/10.1016/j.ecolmodel.2005.03.026
Phillips, S. J., Dudík, M., & Schapire, R. E. (2004). A Maximum entropy
approach to Species Distribution Modeling. Proceedings of the
Twenty-First International Conference on Machine Learning , 83-.
https://doi.org/10.1145/1015330.1015412
Protected Planet. (2021). The World Database on Protected Areas
(WDPA) . https://www.protectedplanet.net
Pyron, R. A., Costa, G. C., Patten, M. A., & Burbrink, F. T. (2015).
Phylogenetic niche conservatism and the evolutionary basis of ecological
speciation. Biological Reviews , 90 (4), 1248–1262.
https://doi.org/10.1111/brv.12154
R Core Team. (2020). R: a language and environment for statistical
computing . R Foundation for Statistical Computing.
https://www.R-project.org/
Rajakaruna, N. (2018). Lessons on evolution from the study of edaphic
specialization. The Botanical Review , 84 (1), 39–78.
https://doi.org/10.1007/s12229-017-9193-2
Ralph, C. J., & Wolfe, J. D. (2018). Factors affecting the distribution
and abundance of autumn vagrant New World warblers in northwestern
California and southern Oregon. PeerJ , 6 , e5881.
https://doi.org/10.7717/peerj.5881
Ramoni-Perazzi, P., Muñoz-Romo, M., Chaves, L. F., & Kunz, T. H.
(2012). Range prediction for the Giant Fruit-Eating Bat, Artibeus
amplus (Phyllostomidae: Stenodermatinae) in South America.Studies on Neotropical Fauna and Environment , 47 (2),
87–103. https://doi.org/10.1080/01650521.2012.679485
Ramoni-Perazzi, P., Passamani, M., Thielen, D., Padovani, C., &
Arizapana, M. A. (in press). BrazilClim: The overcoming of limitations
of preexisting bioclimate data. International Journal of
Climatology .
Ramoni-Perazzi, P., Schuchmann, K. L., Ablan Bortone, M., & Soto
Werschitz, A. (2017). On the absence of the Green-tailed TrainbearerLesbia nuna (Trochilidae) from Venezuela: An analysis based on
environmental niche modelling. Biodiversity Data Journal ,5 , e22092. https://doi.org/10.3897/BDJ.5.e22092
Ramoni-Perazzi, P., Schuchmann, K.-L., Weller, A., Soto-Werschitz, I.
A., & Passamani, M. (2020). Niches and radiations: A case study on the
Andean sapphire-vented puffleg Eriocnemis luciani and
coppery-naped puffleg E. sapphiropygia (Aves, Trochilidae).Journal of Avian Biology , 51 (1).
https://doi.org/10.1111/jav.02242
Ramos, E. K. S., de Magalhães, R. F., Sari, E. H. R., Rosa, A. H. B.,
Garcia, P. C. A., & Santos, F. R. (2018). Population genetics and
distribution data reveal conservation concerns to the sky island endemicPithecopus megacephalus (Anura, Phyllomedusidae).Conservation Genetics , 19 (1), 99–110.
https://doi.org/10.1007/s10592-017-1013-z
Rezende, C. L., Scarano, F. R., Assad, E. D., Joly, C. A., Metzger, J.
P., Strassburg, B. B. N., Tabarelli, M., Fonseca, G. A., & Mittermeier,
R. A. (2018). From hotspot to hopespot: An opportunity for the Brazilian
Atlantic Forest. Perspectives in Ecology and Conservation ,16 (4), 208–214. https://doi.org/10.1016/j.pecon.2018.10.002
Ribeiro, G. V. T., Teixido, A. L., Barbosa, N. P. U., & Silveira, F. A.
O. (2016). Assessing bias and knowledge gaps on seed ecology research:
Implications for conservation agenda and policy. Ecological
Applications: A Publication of the Ecological Society of America ,26 (7), 2033–2043. https://doi.org/10.1890/15-1852.1
Ribeiro, M. C., Metzger, J. P., Martensen, A. C., Ponzoni, F. J., &
Hirota, M. M. (2009). The Brazilian Atlantic Forest: How much is left,
and how is the remaining forest distributed? Implications for
conservation. Biological Conservation , 142 (6), 1141–1153.
https://doi.org/10.1016/j.biocon.2009.02.021
Robbins, M., Braun, M., Miiensl, C., Schmidt, B., Rice, N., Finch, D.,
& O’Shea, B. (2007). Avifauna of the upper Essequibo River and Acary
Mountains, southern Guyana. Ornitologia Neotropical , 18 ,
339–368.
Roberge, J.-M., & Angelstam, P. (2004). Usefulness of the umbrella
species concept as a conservation tool. Conservation Biology ,18 , 76–85. https://doi.org/10.1111/j.1523-1739.2004.00450.x
Robertson, B. A., & Hutto, R. L. (2006). A framework for understanding
ecological traps and an evaluation of existing evidence. Ecology ,87 (5), 1075–1085.
https://doi.org/10.1890/0012-9658(2006)87[1075:AFFUET]2.0.CO;2
Rocha, R., & López-Baucells, A. (2014a). Erratum to:
Opportunistic predation by Crested Owl Lophostrix cristata upon
Seba’s Short-tailed Bat Carollia perspicillata . Revista
Brasileira de Ornitologia , 22 , 244.
https://doi.org/10.1007/bf03544253
Rocha, R., & López-Baucells, A. (2014b). Opportunistic predation of the
Crested Owl Lophostrix cristata upon on Seba’s short-tailed batCarollia perspicillata . Revista Brasileira de Ornitologia ,22 , 58. https://doi.org/10.1007/BF03544230
Rullman, S., & Marzluff, J. M. (2014). Raptor presence along an
urban–wildland gradient: Influences of prey abundance and land cover.Journal of Raptor Research , 48 (3), 257–272.
https://doi.org/10.3356/JRR-13-32.1
Sánchez de Dios, R., Cabal Ruano, C., Domínguez Lozano, F., Sainz
Ollero, H., & Moreno Saiz, J. C. (2017). The role of criteria in
selecting important areas for conservation in biodiversity-rich
territories. Diversity and Distributions , 23 (4), 368–380.
https://doi.org/10.1111/ddi.12535
Sanín, C., & Anderson, R. P. (2018). A framework for simultaneous tests
of abiotic, biotic, and historical drivers of species distributions:
Empirical tests for North American Wood Warblers based on climate and
pollen. The American Naturalist , 192 (2), E48–E61.
https://doi.org/10.1086/697537
Santorelli, S., Magnusson, W. E., & Deus, C. P. (2018). Most species
are not limited by an Amazonian river postulated to be a border between
endemism areas. Scientific Reports , 8 (1), 2294.
https://doi.org/10.1038/s41598-018-20596-7
Schoener, T. W. (1968). The Anolis lizards of Bimini: Resource
partitioning in a complex fauna. Ecology , 49 (4), 704–726.
https://doi.org/10.2307/1935534
Sergio, F., Newton, I., & Marchesi, L. (2005). Top predators and
biodiversity. Nature , 436 (7048), 192–192.
https://doi.org/10.1038/436192a
Silva, A. F. T. da, Melo, H. R. S. de, & Ubaid, F. (2021). First
records of Buff-fronted Owl, Aegolius harrisii (Cassin, 1849)
(Aves, Strigiformes), from the state of Maranhão, northeastern Brazil,
and the northernmost record for the Cerrado domain. Check List ,17 (2), 353–358. https://doi.org/10.15560/17.2.353
Silva, J. M. C. da. (1995). Avian inventory of the Cerrado region, South
America: Implications for biological conservation. Bird
Conservation International , 5 (2–3), 291–304.
https://doi.org/10.1017/S0959270900001052
Silva, J. M. C. da, Coelho, G., & Gonzaga, L. (2002). Discovered on the
brink of extinction: A new species of pygmy-owl (Strigidae:Glaucidium ) from Atlantic Forest of northeastern Brazil.Ararajuba , 10 (2), 123–130.
Silva, H. G. de, & Medellín, R. A. (2001). Evaluating completeness of
species lists for conservation and macroecology: A case study of Mexican
land birds. Conservation Biology , 15 (5), 1384–1395.
https://doi.org/10.1111/j.1523-1739.2001.00177.x
Sobral-Souza, T., Vancine, M. H., Ribeiro, M. C., & Lima-Ribeiro, M. S.
(2018). Efficiency of protected areas in Amazon and Atlantic Forest
conservation: A spatio-temporal view. Acta Oecologica , 87 ,
1–7. https://doi.org/10.1016/j.actao.2018.01.001
Sonter, L. J., Herrera, D., Barrett, D. J., Galford, G. L., Moran, C.
J., & Soares-Filho, B. S. (2017). Mining drives extensive deforestation
in the Brazilian Amazon. Nature Communications , 8 (1),
1013. https://doi.org/10.1038/s41467-017-00557-w
Syfert, M. M., Joppa, L., Smith, M. J., Coomes, D. A., Bachman, S. P.,
& Brummitt, N. A. (2014). Using species distribution models to inform
IUCN Red List assessments. Biological Conservation , 177 ,
174–184. https://doi.org/10.1016/j.biocon.2014.06.012
Thom, G., Xue, A. T., Sawakuchi, A. O., Ribas, C. C., Hickerson, M. J.,
Aleixo, A., & Miyaki, C. (2020). Quaternary climate changes as
speciation drivers in the Amazon floodplains. Science Advances ,6 (11), eaax4718. https://doi.org/10.1126/sciadv.aax4718
Urban, M. C. (2015). Accelerating extinction risk from climate change.Science , 348 (6234), 571–573.
https://doi.org/10.1126/science.aaa4984
Vale, M. M., & Jenkins, C. N. (2012). Across-taxa incongruence in
patterns of collecting bias. Journal of Biogeography ,39 (9), 1744–1748.
https://doi.org/10.1111/j.1365-2699.2012.02750.x
van der Vaart, A. W. (1998). Asymptotic statistics . Cambridge
University Press. https://doi.org/10.1017/CBO9780511802256
Veit, R. (2000). Vagrants as the expanding fringe of a growing
population. The Auk , 117 , 242–246.
https://doi.org/10.1093/auk/117.1.242
Veloz, S. D. (2009). Spatially autocorrelated sampling falsely inflates
measures of accuracy for presence-only niche models. Journal of
Biogeography , 36 (12), 2290–2299.
https://doi.org/10.1111/j.1365-2699.2009.02174.x
Waldron, A., Mooers, A. O., Miller, D. C., Nibbelink, N., Redding, D.,
Kuhn, T. S., Roberts, J. T., & Gittleman, J. L. (2013). Targeting
global conservation funding to limit immediate biodiversity declines.Proceedings of the National Academy of Sciences , 110 (29),
12144–12148. https://doi.org/10.1073/pnas.1221370110
Warren, D. L., Glor, R. E., & Turelli, M. (2008). Environmental niche
equivalency versus conservatism: Quantitative approaches to niche
evolution. Evolution , 62 (11), 2868–2883.
https://doi.org/10.1111/j.1558-5646.2008.00482.x
Warren, D. L., & Seifert, S. N. (2011). Ecological niche modeling in
Maxent: The importance of model complexity and the performance of model
selection criteria. Ecological Applications , 21 (2),
335–342. https://doi.org/10.1890/10-1171.1
Willard, D. E., Foster, M. S., Barrowclough, G. F., Dickerman, R. W.,
Cannell, P. F., Coats, S. L., Cracraft, J. L., & O’Neill, J. P. (1991).The birds of Cerro de la Neblina, Territorio Federal Amazonas,
Venezuela (Report No. 65). USGS Publications Warehouse.
http://pubs.er.usgs.gov/publication/5200195