Climate change and bird extinctions in the Amazon
pmc-PMC7367466.pdf · Phiên bản 1 · 18 trang
58. Aiello-Lammens ME, Boria RA, Radosavljevic A, Vilela B, Anderson RP. spThin: An R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography (Cop). 2015; 38: 541–545. https://doi.org/10.1111/ecog.01132 PLOS ONE Bird extinctions in the Amazon PLOS ONE | https://doi.org/10.1371/journal.pone.0236103 July 17, 2020 15 / 18
59. R CORE TEAM. R: A language and environment for statistical computing. R J Version 3.4.0 [software]. Vienna, Austria. 2017. [accessed September 16, 2019]. Available in: https://www.R-project.org/. 60. IPCC. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 2014, 151 pp. 61. Rocchini D, Hortal J, Lengyel S, Lobo JM, Jime´ nez-Valverde A, Ricotta C, et al. Accounting for uncer- tainty when mapping species distributions: The need for maps of ignorance. Prog Phys Geogr. 2011; 35: 211–226. https://doi.org/10.1177/0309133311399491 62. Phillips SJ, Dudı´k M. Modeling of species distributions with Maxent: new extensions and a comprehen- sive evaluation. Ecography (Cop). 2008; 31: 161–175. https://doi.org/10.1111/j.2007.0906–7590. 05203.x 63. Tax DMJ, Duin RPW. Support Vector Data Description. Machine Learning. 2004; 54: 45–66. 64. Breiman L. Random forests. Machine Learning. 2001; 45:5–32. 65. Zaniewski AE, Lehmann A, Overton JMC. Predicting species spatial distributions using presence-only data: A case study of native New Zealand ferns. Ecol Modell. 2002; 157: 261–280. https://doi.org/10. 1016/S0304-3800(02)00199-0 66. Buckland ST, Elston DA. Empirical Models for the Spatial Distribution of Wildlife. J Appl Ecol. 1993; 30: 478. https://doi.org/10.2307/2404188 67. Andrade AFA de, Velazco SJE, De Marco Ju´nior P. ENMTML: An R package for a straightforward con-
struction of complex ecological niche models. Environ Model Softw. 2020; 125: 104615. https://doi. org/10.1016/j.envsoft.2019.104615 68. Sørensen T. A Method of Establishing Groups of Equal Amplitude in Plant Sociology Based on Similar- ity of Species Content and its Application to Analyses of the Vegetation on Danish Commons. Det K Danske Vidensk Selsk Biol Skr. 1948; 5: 1–34. Available: http://www.tandfonline.com/doi/full/10. 3109/00016924809131205 69. Leroy B, Delsol R, Hugueny B, Meynard CN, Barhoumi C, Barbet-Massin M, et al. Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures of model performance. J Biogeogr. 2018; 45: 1994–2002. https://doi.org/10.1111/jbi.13402 70. Allouche O, Steinitz O, Rotem D, Rosenfeld A, Kadmon R. Incorporating distance constraints into spe- cies distribution models. J Appl Ecol. 2008; 45: 599–609. https://doi.org/10.1111/j.1365-2664.2007. 01445.x 71. De Marco P, No´brega CC. Evaluating collinearity effects on species distribution models: An approach based on virtual species simulation. PLoS One. 2018; 13: 020240. https://doi.org/10.1371/journal. pone.0202403 PMID: 30204749 72. Davis JC. Statistics and Data Analysis in Geology, 2nd edn. John Wiley and Sons, New York, NY, 1986 73. Neme´sio A, Silva DP, Nabout JC, Varela S. Effects of climate change and habitat loss on a forest- dependent bee species in a tropical fragmented landscape. Insect Conserv Divers. 2016; 9: 149–160. https://doi.org/10.1111/icad.12154
74. Guisan A, Theurillat JP. Equilibrium modeling of alpine plant distribution: How far can we go? Phyto- coenologia. 2000; 30: 353–384. https://doi.org/10.1127/phyto/30/2000/353 75. Wisz MS, Hijmans RJ, Li J, Peterson AT, Graham CH, Guisan A, et al. Effects of sample size on the performance of species distribution models. Divers Distrib. 2008; 14: 763–773. https://doi.org/10. 1111/j.1472-4642.2008.00482.x 76. Distler T, Schuetz JG, Vela´squez-Tibata´ J, Langham GM. Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change. J Biogeogr. 2015; 42: 976–988. https://doi.org/10.1111/jbi.12479 77. ICMBio. Aplicac¸ão de Crite´ rios e Categorias da UICN na Avaliac¸ão da Fauna Brasileira. Version2.0. Brası´lia, DF–Ministe´rio do Meio Ambiente. 2013. 78. Bland LM, Keith DA, Miller RM, Murray NJ, Rodrı´guez J.P. (eds.). Guidelines for the application of IUCN Red List of Ecosystems Categories and Criteria, Version 1.0. Gland, Switzerland: IUCN. 2016. ix + 94pp. 79. Powers RP, Jetz W. Global habitat loss and extinction risk of terrestrial vertebrates under future land- use-change scenarios. Nat Clim Chang. 2019; 9:323–9. https://doi.org/10.1038/s41558-019-0406-z 80. Hanski I. Habitat Loss, the Dynamics of Biodiversity, and a Perspective on Conservation. Ambio. 2011; 40: 248–255. https://doi.org/10.1007/s13280-011-0147-3 PMID: 21644453 81. Keil P, Storch D, Jetz W. On the decline of biodiversity due to area loss. Nat Commun. 2015; 6: 1–11. https://doi.org/10.1038/ncomms9837 PMID: 26575347 PLOS ONE
Bird extinctions in the Amazon PLOS ONE | https://doi.org/10.1371/journal.pone.0236103 July 17, 2020 16 / 18
82. Jetz W, Wilcove DS, Dobson AP. Projected impacts of climate and land-use change on the global diversity of birds. PLoS Biol. 2007; 5: 1211–1219. https://doi.org/10.1371/journal.pbio.0050157 PMID: 17550306 83. Anciães M, Peterson AT. Climate change effects on Neotropical manakin diversity based on ecological niche modeling. Condor. 2006; 108: 778–791. https://doi.org/10.1093/condor/108.4.778 84. Dillion ME, Wang G, Huey RB. Global metabolic impacts of recent climate warming. Nature. 2010; 467:704–706. https://doi.org/10.1038/nature09407 PMID: 20930843 85. Tewksbury JJ, Huey RB, Deutsch CA. Putting the Heat on Tropical Animals. Science. 2008; 320: 1296–1297. https://doi.org/10.1126/science.1159328 PMID: 18535231 86. Schloss CA, Nunez TA, Lawler JJ. Dispersal will limit ability of mammals to track climate change in the Western Hemisphere. Proc Natl Acad Sci. 2012; 109: 8606–8611. https://doi.org/10.1073/pnas. 1116791109 PMID: 22586104 87. Regolin AL, Cherem JJ, Graipel ME, Bogoni JA, Ribeiro JW, Vancine MH, et al. Forest cover influ- ences occurrence of mammalian carnivores within Brazilian Atlantic Forest. J Mammal. 2017; 98: 1721–1731. https://doi.org/10.1093/jmammal/gyx103 88. Mech SG, Hallett JG. Evaluating the effectiveness of corridors: a genetic approach. Conservation Biol- ogy. 2001; 15:467–474. 89. Şekerciogˇlu C¸ H, Daily GC, Ehrlich PR. Ecosystem consequences of bird declines. Proc Natl Acad Sci U S A. 2004; 101: 18042–18047. https://doi.org/10.1073/pnas.0408049101 PMID: 15601765
90. Caves EM, Jennings SB, HilleRisLambers J, Tewksbury JJ, Rogers HS. Natural Experiment Demon- strates That Bird Loss Leads to Cessation of Dispersal of Native Seeds from Intact to Degraded For- ests. Farwig N, editor. PLoS One. 2013; 8: e65618. https://doi.org/10.1371/journal.pone.0065618 PMID: 23741503 91. Hilty S, Kirwan GM. Opal-rumped Tanager (Tangara velia). In: del Hoyo, J., Elliott, A., Sargatal, J., Christie, D.A. & de Juana, E. (eds.). Handbook of the Birds of the World Alive. Lynx Edicions, Barce- lona. 2020. Available in: https://www.hbw.com/node/61721. 92. del Hoyo, J, Collar N, Christie DA, Sharpe CJ, Kirwan GM. Belem Curassow (Crax pinima). In: del Hoyo, J., Elliott, A., Sargatal, J., Christie, D.A. & de Juana, E. (eds.). Handbook of the Birds of the World Alive. Lynx Edicions, Barcelona. 2020. Available in: https://www.hbw.com/node/467090. 93. Short LL, Kirwan GM, Sharpe CJ. Eastern Red-necked Arac¸ari (Pteroglossus bitorquatus). In: del Hoyo, J., Elliott, A., Sargatal, J., Christie, D.A. & de Juana, E. (eds.). Handbook of the Birds of the World Alive. Lynx Edicions, Barcelona. 2020. Available in: https://www.hbw.com/node/56089. 94. Newton I. Population limitation in birds: the last 100 years. British Birds. 1998 Available in: http://www. globalraptors.org/grin/researchers/uploads/302/pop._limitation.pdf. 95. Crick HQP. The impact of climate change on birds. Ibis (Lond 1859). 2004; 146: 48–56. https://doi.org/ 10.1111/j.1474-919X.2004.00327.x 96. Boleli IC, de Queiroz SA. Effects of incubation temperature and relative humidity on embryonic devel-
opment in eggs of red-winged tinamou (Rhynchotus rufescens). Int J Poult Sci. 2012; 11: 517–523. https://doi.org/10.3923/ijps.2012.517.523 97. Sekercioglu CH, Scheneider SH, Fay JP, Loarie SR. Climate change, Elevation Range Shifts, and Birds Extinctions. Conservation Biology. 2008; 22:140–150. https://doi.org/10.1111/j.1523-1739. 2007.00852.x PMID: 18254859 98. Rodrigues ASL, Akc¸akaya HR, Andelman SJ, Bakkar MI, Boitani L, Yan X. Global gap analysis: prior- ity regions for expanding the global protected-area network. BioScience. 2004; 54:1092–1100. 99. Campedelli T, Florenzano GT, Londi G, Cutini S, Fornasari L. Effectiveness of the Italian national pro- tected areas system in conservation of farmland birds: a gap analysis. Ardeola, 2010; 57:51–64. 100. Carvalho DL, Sousa-Neves T, Cerqueira PV, Gonsioroski G, Silva SM, Silva DP, et al. Delimiting prior- ity areas for the conservation of endemic and threatened Neotropical birds using a niche-based gap analysis. Umapathy G, editor. PLoS One. 2017; 12: e0171838. https://doi.org/10.1371/journal.pone. 0171838 PMID: 28187182 101. Instituto Nacional De Pesquisas Espacias. Monitoramento da cobertura florestal da Amazoˆnia por sate´ lites—sistemas Prodes, Deter, Degrad e Queimadas. São Jose´ do Campos. INPE. 2017. Avail- able from: http://www.inpe.gov.br. 102. Martins MB; Oliveira TG. Amazoˆnia maranhense: diversidade e conservac¸ão. Bele´ m: MPEG, 2011. 103. Lima DM, Martı´nez C, Raı´ces DSL. An avifaunal inventory and conservation prospects for the Gurupi
biological reserve, Maranhão, Brazil. Rev Bras Ornitol. 2014; 22: 317–340. https://doi.org/10.1007/ bf03544270 PLOS ONE Bird extinctions in the Amazon PLOS ONE | https://doi.org/10.1371/journal.pone.0236103 July 17, 2020 17 / 18
104. Alteff EF, Gonsioroski G, Barreiros M, Torres LGC de O, Camilo AR, Mozerle HB, et al. The rarest of the rare: Rediscovery and status of the critically endangered belem curassow, crax fasciolata pinima (pelzeln, 1870). Pap Avulsos Zool. 2019; 59: 0–4. https://doi.org/10.11606/1807-0205/2019.59.46 105. Schwitzer C, Mittermeier RA, Rylands AB, Chiozza F, Williamson EA, Wallis J, et al. Primates in Peril: The World’s 25 Most Endangered Primates 2014–2016. IUCN SSC Primate Specialist Group (PSG), International Primatological Society (IPS), Conservation International (CI), and Bristol Zoological Soci- ety, Arlington, VA. 2015. 106. MMA. Ministe´rio do Meio Ambiente. Portaria 444/2014. Dia´rio Oficial da União 245 –Sec¸ão 1: 121– 126, 2014. 107. Moura WC, Fukuda JC, Lisboa EA, Gomes BN, Oliveira SL,et al. A Reserva Biolo´gica do Gurupi como instrumento de conservac¸ão da natureza na Amazoˆ nia Oriental. Bele´m. MPEG, 2011; 24–31. 108. Soares-Filho B, Rajao R, Macedo M, Carneiro A, Costa W, Coe M, et al. Cracking Brazil’s Forest Code. Science. 2014; 344: 363–364. https://doi.org/10.1126/science.1246663 PMID: 24763575 109. Cooke B, Langford WT, Gordon A, Bekessy S. Social context and the role of collaborative policy mak- ing for private land conservation. J Environ Plan Manag. 2012; 55: 469–485. https://doi.org/10.1080/ 09640568.2011.608549 110. Debby FM, Dick K. Conservation Approaches to Protecting Critical Habitats and Species on Private Property. Natural Areas Journal. 2012; 32:190–198. https://doi.org/10.3375/043.032.0208
111. Pe´rez-Herna´ ndez CG, Vergara PM, Saura S, Hernandez J. Do corridors promote connectivity for bird- dispersed trees? The case of Persea linguein Chilean fragmented landscapes. Springer. 2014; 30:77–90. https://doi.org/10.1007/s10980-014-0111-2 112. Young CEF, Queiroz JM, Backer B de. Instrumentos econoˆ micos para a conservac¸ão: um estudo de caso do ICMS ecolo´ gico e carbono evitado para RPPNS na Caatinga. 2012. Avaiable from: http:// www.ie.ufrj.br/images/gema/Gema_Artigos/2012/Young_Queiroz_Bakker_2012_Fortaleza_BNB_ Caatinga.pdf. 113. Lindenmayer DB, Fischer J. Tackling the habitat fragmentation panchreston. Trends Ecol Evol. 2007; 22: 127–132. https://doi.org/10.1016/j.tree.2006.11.006 PMID: 17145095 114. Lima PCA de, Franco JL de A. As RPPNs Como Estrate´ gia Para a Conservac¸ão da Biodiversidade: O caso da Chapada dos Veadeiros. Soc Nat. 2014; 26: 113–125. https://doi.org/10.1590/1982- 451320140108 115. Soares-Filho B, Moutinho P, Nepstad D, Anderson A, Rodrigues H, Garcia R, et al. Role of Brazilian Amazon protected areas in climate change mitigation. Proc Natl Acad Sci. 2010; 107: 10821–10826. https://doi.org/10.1073/pnas.0913048107 PMID: 20505122 116. Franc¸oso RD, Brandão R, Nogueira CC, Salmona YB, Machado RB, Colli GR. Habitat loss and the effectiveness of protected areas in the Cerrado Biodiversity Hotspot. Nat e Conserv. 2015; 13: 35–40. https://doi.org/10.1016/j.ncon.2015.04.001 117. Paiva RJO, Brites RS, Machado RB. The Role of Protected Areas in the Avoidance of Anthropogenic
Conversion in a High Pressure Region: A Matching Method Analysis in the Core Region of the Brazil- ian Cerrado. Chapman M (Gee) G, editor. PLoS One. 2015; 10: e0132582. https://doi.org/10.1371/ journal.pone.0132582 PMID: 26222140 PLOS ONE Bird extinctions in the Amazon PLOS ONE | https://doi.org/10.1371/journal.pone.0236103 July 17, 2020 18 / 18