Questions: Spatial level How does abundance of small rodents relate with altitude and latitude? Climatic level How does abundance of small rodents relate with climate? Abundance of small mammals along an altitudinal - latitudinal gradient in the Central Andes of Argentina
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Questions : Spatial level How does abundance of small rodents relate with altitude and latitude?
Abundance of small mammals along an altitudinal - latitudinal gradient in the Central Andes of Argentina. Questions : Spatial level How does abundance of small rodents relate with altitude and latitude? Climatic level How does abundance of small rodents relate with climate?. Spatial level. - PowerPoint PPT Presentation
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Questions:Spatial levelHow does abundance of small rodents relate with
altitude and latitude?
Climatic levelHow does abundance of small rodents relate with
climate?
Abundance of small mammals along an altitudinal - latitudinal gradient in the Central Andes of Argentina
We explore the data in a graphical way xyplot(ABUND~ALT|lat,groups=lat,type="b",lwd=3)
Bar plot of abundance variation per altitude for each latitude.
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Abundance peaks at 2300m.
We observed a quadraticrelationship.
Spatial level
We rescaled the latitude and altitude axes: alt=((ALT-1300)/1000) # to standardize the variablelt=(lat-32) We transformed abundance to log, to get a better fit to a normal distribution.ab=log(ABUND)
We performed a linear model: Spatial Model =lm(ab~lt+alt+I(lt^2)+I(alt^2))
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7555 on 15 degrees of freedomMultiple R-squared: 0.5993, Adjusted R-squared: 0.4924 F-statistic: 5.608 on 4 and 15 DF, p-value: 0.005772
Spatial level
Lollipop3d graph showing the relationship between log-abundance and the spatial predictor variables, altitude and latitude.
Log(abund)=latitude+altitude+latitude2+altitude2
Abundance shows a hump shape pattern along altitude (peak= 2300m) and latitude (peak= 33° S).
Spatial level
Climatic variables: we reduced the variability of all precipitation variables into one PCA (Prec) and all temperature variables into one PCA (Temp).
Temperature seasonality accounts for 94% of the variation in PCA (Temp).
Annual mean precipitation (53%), Precipitation of the wettest season (20%) and Precipitation of the coldest season (20%) accounts for 93% of the variation in PCA (Prec).
PCA
Log abundance has a quadratic relationship with the climatic variables.
Climatic level
We performed a Linear model: Climatic model=lm(log(ABUND)~PCA_Temp+PCA_Prec+I(PCA_Temp^2)+I(PCA_Prec^2))
Residual standard error: 0.8337 on 15 degrees of freedomMultiple R-squared: 0.512, Adjusted R-squared: 0.3819 F-statistic: 3.934 on 4 and 15 DF, p-value: 0.02229
Climatic level
Lollipop3d graph showing the relationship between log-abundance and the climatic predictor variables, PCA (Temp), PCA (Prec).
Climatic level
Temperature Seasonality
Abundance is maximum at intermediate values of temperature and precipitation.
Annual mean precipitation Precipitation of the wettest seasonPrecipitation of the coldest season
AIC df dAIC WeightSpatial model 51.8 6 0.0 0.878 Climatic model 55.7 6 3.9 0.122
We compared the spatial and climatic model using the Akaike’s Information Criterion
The spatial fits better than the climatic model.Apparently altitude variability is composed by more than climatic variables.
Final remarks
Conclusion:
How does abundance of small rodents relate with altitude and latitude?In a quadratic relationship, with a peak at intermediate altitudes and latitudes.
How does abundance of small rodents relate with climate? In a quadratic relationship peaking at intermediate Temperature Seasonality and