The potential impacts of climate change on extinctions of Blunt Nosed Leopard Lizards Joseph Stewart, UN Reno Robert D. Cooper, UCSC Mike Westphal, BLM.

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The potential impacts of climate change on extinctions of Blunt Nosed Leopard Lizards Joseph Stewart, UN Reno Robert D. Cooper, UCSC Mike Westphal, BLM Scott Butterfield, TNC Barry Sinervo, UC Santa Cruz

Glossary Tb lizard body temperature in the field Tppreferred lizard body temperature in lab Tmax – Maximum daily air temperature Te – Operative environmental temperature (the temperature a lizard could achieve if it were in a particular place in the environment)

Yucatan Ground truth (Dec 2008-Apr 2009) used in Sinervo et al Deploy lizard models hooked up to Hobotemps 2.This estimates Operative Model Temperatures (Bakken 1994) Operative Model Temperatures

1.Measure the number of hours T e > T preferred at two extinct and two persistent sites in the Yucatan (Sinervo et al. 2010) 2.Linear relationship can be used to predict h restriction : h r [T e >T preferred ] = slope × (T max – T preferred ) + intercept T max – T preferred

TbTb thermoregulation morphology -size habitat microhabitat selection Climate change r Range Expansion Range Extinction Adaptation

2009 4% local extinction R 2 = 0.72 in a global validation with 8 other families % species extinction 100% in some areas % species extinction 100% in many areas By the numbers:

BNLL vs LNLL distributional limits defined by hours of restriction, h r LNLL hottest site is 3.1 hBNLL hottest site is 2.6 h The ancestral LNLL Tolerates hotter spots than the BNLL and the LNLL has a higher Tb in the field: 38.9 for LNLL vs 39 C for BNLL Room for BNLL Adaptation c.f., LNLL h r limits? The shape of the distribution of hr for BNLL is a severe liability: many populations on the valley floor are close to climate forcing extinction limits. Only a small fraction of LNLL are near the upper limit so few are at risk of extinction.

We ran two physiological scenarios The BNLL shows regional Tb adaptation: T b = 38.0 C and hours of restriction (h r ) in the hottest site in the central valley is the current limit (h r,critical =2.6) The BNLL could potentially achieve limits seen in the LNLL (which is found at hotter sites) T b = 38.9 C and hours of restriction (h r ) in the hottest site of the LNLL also sets the current limit for BNLL (e.g., assume BNLL h r,critical =3.1)

Methods Deploy data loggers hooked up to 4 BNLL models (2 sizes: gravid female and sub-adult) at In vegetation, full sun, holes Data collected from September – November during hot to cool weather Download Tmax data from adjacent Weather Stations km distant Regress h r on (T max – T b ) Use WorldClim.org Tmax surfaces to compute h r at each known location (Herpnet.org) When h r > h r,critical population assumed to go extinct

The fit for T e across sites and pooled higher Tmax increases hours of restriction for foraging We used the pooled relationship on the right, ignoring population variation (which is likely driven by proximity of the weather station to the study plots)

Scenario 1: BNLL has no plasticity in Behavioral Thermoregulation Scenario 1: BNLL can achieve ancestral thermal adaptation seen in LNLL

MAXENT confirms extinction risk The BNLL cannot expand to blue Because the LNLL is there Current Lost – Red, Persist – Green Colinization -- Blue

Conclusions The populations on the floor of the Central Valley are at grave risk of extinction in the next 100 years

Future models and refinements In collaboration with Cam Barrows (UCR) use Habitat Niche models that factor in vegetation In collaboration with Dave Germano (CSU Bakersfield) use data on demography to develop a Population Viability Model, coupled to temperature and precipitation changes. Use Regional Climate Models developed for CA by Lisa Sloan (UCSC) and also refined estimates by Bruno Sanso that remove the biases of current IPCC climate surfaces (e.g., for CA, IPCC poorly predicts observed decreases to summer monsoon rains and winter rains). This may explain extinctions in the center of BNLL range

Precipitation impacts recruitment! So extended droughts can drive rapid future extinctions Data from Germano and Williams 2005

Funding Thanks to the BLM and TNC for funding And to NSF Macrosystems