Relative Importance of Climate Variables to Population Vital Rates: A Quantitative Synthesis for the Lesser Prairie-Chicken.
Climate change is expected to affect temperature and precipitation means and extremes, which can affect population vital rates. With the added complexity of accounting for both means and extremes, it is important to understand whether one aspect is sufficient to predict a particular vital rate or if both are necessary. To compare the predictive ability of climate means and extremes with geographic, individual, and habitat variables, we performed a quantitative synthesis on the vital rates of lesser prairie-chickens (Tympanuchus pallidictinus) across their geographic range. We used an information theoretic approach to rank models predicting vital rates. We were able to rank climate models for three vital rates: clutch size, nest success, and subadult/adult seasonal survival. Of these three vital rates, a climate model was never the best predictor even when accounting for potentially different relationships between climate variables and vital rates between different ecoregions. Clutch size and nest success were both influenced by nesting attempt with larger clutches and greater success for first nesting attempts than second nesting attempts. Clutch size also increased with latitude for first nesting attempts but decreased with latitude for second nesting attempts. This resulted in similar clutch sizes for first and second nest attempts at southern latitudes but larger clutches for first nest attempts than second nest attempts at northern latitudes. Survival was greater for subadults than adults, but there were few estimates of subadult survival for comparison. Our results show that individual characteristics and geographic variables are better for predicting vital rates than climate variables. This may due to low samples sizes, which restricted our statistical power, or lack of precision in climate estimates relative to microclimates actually experienced by individuals. Alternatively, relationships between climate variables and vital rates may be constrained by time lags or local adaptation.
Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, Oklahoma, United States of America.
Julia E
http://orcid.org/0000-0003-0480-9635
JE
Earl
Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, Oklahoma, United States of America.
Samuel D
SD
Fuhlendorf
Oecologia. 2005 Oct;145(4):556-63
16010537
Biol Rev Camb Philos Soc. 2008 Aug;83(3):357-99
18715402
Nature. 2008 Nov 6;456(7218):93-7
18987742
J Anim Ecol. 2010 Jan;79(1):109-16
19674179
Biol Lett. 2010 Apr 23;6(2):253-6
19793742
Trends Ecol Evol. 2010 Jun;25(6):325-31
20392517
Proc Biol Sci. 2013 Jan 7;280(1750):20121890
23075836
Proc Biol Sci. 2013 Jan 16;280(1754):20122829
23325774
Ecol Lett. 2013 Jun;16(6):799-806
23438320
PLoS One. 2013 May 14;8(5):e63974
23691131
PLoS One. 2013 Jul 11;8(7):e68225
23874549
Glob Chang Biol. 2012 Sep;18(9):2730-42
24501052
Evolution. 1966 Jun;20(2):174-184
28563630