RT Journal Article
T1 Uncertainty in distribution forecasts caused by taxonomic ambiguity under climate change scenarios: a case study with two newt species in mainland Spain.
A1 Romero-Pacheco, David
A1 Olivero-Anarte, Jesús
A1 Márquez-Moya, Ana Luz
A1 Báez, José Carlos
A1 Real-Giménez, Raimundo
K1 Especies (Biología) - Efectos del clima
AB To analyse a source of uncertainty when forecasting the possible effects of climate change on species distributions, which may appear when the species studied have doubtful taxonomy or are subdivided into subspecies with different environmental requirements. Iberian newts (Triturus pygmaeus and Triturus marmoratus, a recently identified species) were used as examples. Environmental favourability models were performed on the occurrence of the newts according to two taxonomic options: (1) the two species separately; and (2) the two species together, as they were considered a single species by taxonomists until recently. The models were projected to three time periods between 2011 and 2100 within a context of climate change, using two different general circulation models and two emission scenarios. We calculated the discrepancy between forecasts produced with the different taxonomic options and their consistency under the same climate change scenario. The model based on the two species together did not distinguish between particular environmental requirements of either of the two species. Discrepancy values between taxonomic options increased over time. A reduction in areas favourable to T. pygmaeus and its north-eastward displacement were only predicted when this species was analysed separately. Nevertheless, the uncertainty derived from taxonomic ambiguity barely affected the predictions for T. marmoratus. Qualitatively and quantitatively different distribution forecasts for two newt species in mainland Spain were obtained depending on the taxonomic option considered. Taxonomic uncertainty also affected other sources of uncertainty. Some guidelines are suggested to aid in similar cases.
PB Wiley
YR 2013
FD 2013
LK https://hdl.handle.net/10630/33583
UL https://hdl.handle.net/10630/33583
LA eng
NO Romero, D., Olivero, J., Márquez, A. L., Báez, J. C., & Real, R. (2014). Uncertainty in distribution forecasts caused by taxonomic ambiguity under climate change scenarios: A case study with two newt species in mainland Spain. Journal of Biogeography, 41(1), 111–121.
NO https://v2.sherpa.ac.uk/id/publication/7038
NO D. Romero was supported by a grant from the Ministerio de Educación: AP2007-03633. This study was also supported byproject CGL2009-11316 (Ministerio de Ciencia e Innovación, Spain, and FEDER).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 26 ene 2026