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dc.contributor.authorPontes-da-Silva, Emerson-
dc.contributor.authorMagnusson, William Ernest-
dc.contributor.authorSinervo, Barry R.-
dc.contributor.authorCaetano, Gabriel H.O.-
dc.contributor.authorMiles, Donald B.-
dc.contributor.authorColli, Guarino R.-
dc.contributor.authorDiele-Viegas, Luisa Maria-
dc.contributor.authorFenker, Jéssica-
dc.contributor.authorSantos, Juan Carlos-
dc.contributor.authorWerneck, F. P.-
dc.date.accessioned2020-06-15T21:37:30Z-
dc.date.available2020-06-15T21:37:30Z-
dc.date.issued2018-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/16942-
dc.description.abstractTemperature increases can impact biodiversity and predicting their effects is one of the main challenges facing global climate-change research. Ectotherms are sensitive to temperature change and, although predictions indicate that tropical species are highly vulnerable to global warming, they remain one of the least studied groups with respect to the extent of physiological variation and local extinction risks. We model the extinction risks for a tropical heliothermic teiid lizard (Kentropyx calcarata) integrating previously obtained information on intraspecific phylogeographic structure, eco-physiological traits and contemporary species distributions in the Amazon rainforest and its ecotone to the Cerrado savannah. We also investigated how thermal-biology traits vary throughout the species' geographic range and the consequences of such variation for lineage vulnerability. We show substantial variation in thermal tolerance of individuals among thermally distinct sites. Thermal critical limits were highly correlated with operative environmental temperatures. Our physiological/climatic model predicted relative extinction risks for local populations within clades of K. calcarata for 2050 ranging between 26.1% and 70.8%, while for 2070, extinction risks ranged from 52.8% to 92.8%. Our results support the hypothesis that tropical-lizard taxa are at high risk of local extinction caused by increasing temperatures. However, the thermo-physiological differences found across the species' distribution suggest that local adaptation may allow persistence of this tropical ectotherm in global warming scenarios. These results will serve as basis to further research to investigate the strength of local adaptation to climate change. Persistence of Kentropyx calcarata also depends on forest preservation, but the Amazon rainforest is currently under high deforestation rates. We argue that higher conservation priority is necessary so the Amazon rainforest can fulfill its capacity to absorb the impacts of temperature increase on tropical ectotherms during climate change. © 2018 Elsevier Ltden
dc.language.isoenpt_BR
dc.relation.ispartofVolume 73, Pags. 50-60pt_BR
dc.rightsRestrito*
dc.subjectAdulten
dc.subjectCladisticsen
dc.subjectClimate Changeen
dc.subjectDeforestationen
dc.subjectEcophysiologyen
dc.subjectEnvironmental Temperatureen
dc.subjectGreenhouse Effecten
dc.subjectHeat Toleranceen
dc.subjectHumanen
dc.subjectIntraspecific Variationen
dc.subjectLizarden
dc.subjectLocal Adaptationen
dc.subjectNonhumanen
dc.subjectPhysiologyen
dc.subjectRainforesten
dc.subjectScruben
dc.subjectAcclimatizationen
dc.subjectAnimalsen
dc.subjectBiological Modelen
dc.subjectBody Temperatureen
dc.subjectFemaleen
dc.subjectLizarden
dc.subjectLocomotionen
dc.subjectMaleen
dc.subjectRisk Factoren
dc.subjectSpecies Extinctionen
dc.subjectTemperatureen
dc.subjectTropic Climateen
dc.subjectAcclimatizationen
dc.subjectAnimalen
dc.subjectBody Temperatureen
dc.subjectExtinction, Biologicalen
dc.subjectFemaleen
dc.subjectGlobal Warmingen
dc.subjectLizardsen
dc.subjectLocomotionen
dc.subjectMaleen
dc.subjectModels, Biologicalen
dc.subjectRainforesten
dc.subjectRisk Factorsen
dc.subjectTemperatureen
dc.subjectTropical Climateen
dc.titleExtinction risks forced by climatic change and intraspecific variation in the thermal physiology of a tropical lizarden
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.jtherbio.2018.01.013-
dc.publisher.journalJournal of Thermal Biologypt_BR
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