Table 2 Effects of structure and diversity predictors on the response variables abundance, species richness and diversity in the best models.

From: Natural Regeneration in the Tumbesian Dry Forest: Identification of the Drivers Affecting Abundance and Diversity

Predictor

Estimate

Std. Error

p (<0.05)

Abundance

(Intercept)

3.17

0.25

<2.0 × 10−16***

Equine

0.93

0.23

7.0 × 10−5***

Treatopen

−0.01

0.07

0.89

SPrec

0.39

0.08

5.7 × 10−7***

Cattle

−0.37

0.18

0.05*

Equine:Treatopen

−0.99

0.27

3.1 × 10−4***

Species richness

(Intercept)

−0.15

0.30

0.61

SPrec

0.15

0.05

3.6 × 10−3**

Treatopen

−0.06

0.04

0.13

SDepth11–20 cm

1.32

0.28

2.2 × 10−6***

SDepth21–50 cm

1.93

0.27

1.2 × 10−12***

SDepth51–100 cm

1.45

0.26

1.7 × 10−8***

SDepth >100 cm

2.06

0.29

6.1 × 10−13***

DrainModerated

0.45

0.16

0.01**

DrainGood

0.28

0.14

0.05*

Diversity

(Intercept)

0.19

0.07

0.01**

DrainModerated

0.16

0.08

0.04*

DrainGood

−0.05

0.08

0.52

TextClay loam

0.17

0.08

0.04*

TextLoam

0.22

0.06

2.0 × 10−4***

TextSandy loam

−0.12

0.10

0.27

  1. The p-values of 0.05 for Cattle as a predictor of abundance and DrainGood as a predictor of species richness were due to rounding. ***p < 0.001; **p < 0.01; *p < 0.05.
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