Table 2 Statistics of the best-fitted linear regression between GPP anomalies and LAI or GPP/LAI anomalies and between GPP/LAI and LAI anomalies, and between LAI or GPP anomalies per unit of LAI (GPP/LAI) and rainfall anomalies.

From: Responses of LAI to rainfall explain contrasting sensitivities to carbon uptake between forest and non-forest ecosystems in Australia

Correlation

Ecosystem type

Slope

r 2

P value

GPP ~ LAI

Non-forest

0.88

0.75

<0.001

Forest

0.19

0

0.33

GPP ~ GPP/LAI

Non-forest

0.86

0.33

<0.001

Forest

0.22

0

0.27

GPP/LAI ~ LAI

Non-forest

0.09

0.009

0.18

Forest

−0.84

0.78

<0.001

LAI ~ rainfall

Non-forest

0.84

0.49

<0.001

Forest

0.09

−0.02

0.53

GPP/LAI ~ rainfall

Non-forest

0.27

0.1

<0.001

Forest

−0.14

0

0.3

  1. All variables (x) were normalised using the formula (x − xn)/(xm − xn), where xm and xn represent the maximum and minimum values of the variable x. Statistics of the best-fitted linear regression between GPP anomalies and LAI or GPP/LAI anomalies, and between LAI or GPP anomalies per unit of LAI (GPP/LAI) and rainfall anomalies. All variables (x) were normalized using the formula (x − xn)/(xm − xn), where xm and xn represent the maximum and minimum values of the variable x.
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