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Table 3 Best model parameters

From: The interplay between seasonality and density: consequences for female breeding decisions in a small cyclic herbivore

ZERO PART of the best model (explaining breeding probability)

Explanatory variable

Estimate

Std. Error

z value

p-value

(Intercept)

-6.0575

0.4876

-12.4242

0.0000

PCA1

0.0568

0.0594

0.9567

0.3387

PCA2

-0.2772

0.0972

-2.8509

0.0044

BL

0.0495

0.0041

11.9786

0.0000

BC

0.7641

0.4746

1.6100

0.1074

NDVI

0.0123

0.0032

3.7885

0.0002

Temp

-0.0017

0.0291

-0.0595

0.9526

Ab

-0.042

0.0132

-3.1861

0.0014

PCA2 : BC

0.9505

0.3198

2.9722

0.003

PCA2 : NDVI

-0.0074

0.0027

-2.738

0.0062

PCA2 : Temp

0.0505

0.0232

2.1708

0.0299

PCA2 : Ab

-0.0202

0.0078

-2.5672

0.0103

PCA1 : BC

0.5083

0.1905

2.6685

0.0076

PCA1 : Ab

-0.0094

0.0045

-2.0955

0.0361

PCA1 : PCA2

-0.0904

0.0480

-1.8814

0.0599

COUNT PART of the best model (explaining litter size)

Explanatory variable

Estimate

Std. Error

z value

p-value

(Intercept)

0.578

0.2407

2.4013

0.0163

PCA2

-0.3396

0.1659

-2.0466

0.0407

BL

0.0082

0.0019

4.3701

0.0000

NDVI

0.0022

0.0010

2.2656

0.0235

PastAb

-0.0086

0.0043

-2.022

0.0432

PCA2 : BL

0.002

0.0013

1.5126

0.1304

  1. Best model parameters explaining common vole female per capita productivity (number of embryos per females) in Western France. Model used was mixture model (“hurdle”) with two parts: a zero part explaining the breeding probability with binomial distribution and logit link (zero versus superior to zero); the second part explaining the litter size (distribution of values superior to zero occulting all zero counts) with a Poisson distribution and a log link (variable definition; PastAb: past June abundance, PCA1: first axe of PCA, BC: body condition, Ab: current density, Temp: anomalies of temperatures, PCA2: second axe of PCA, NDVI : anomalies of NDVI, BL: body length).