Table 2 Relative importance in predicting marine phytoplankton production (MPP).

From: Wildfires enhance phytoplankton production in tropical oceans

  

Estimate

Std. error

t value

p value

Relative importance (%)

  

Cores 185/200

Cores 185/200

Cores 185/200

Cores 185/200

Cores 185/200

ETS (1926–2017)

Core 185: r2 = 0.217; p = 0.012; F4,52 = 3.594

Delta_AICc = 14.24

AICcWt = 0.00

Core 200: r2 = 0.489; p < 0.001; F4,49 = 11.71

Delta_AICc = 0.00

AICcWt = 1.00

Intercept

3.790/0.908

4.333/1.313

0.875/0.691

0.386/0.493

—

BC

0.495/0.164

0.169/0.033

2.924/4.994

0.005/<0.001

90.03/87.72

SST

−0.105/0.007

0.144/0.047

−0.730/0.140

0.468/0.889

4.76/2.61

TCF

0.026/−0.024

0.026/0.011

0.990/−2.298

0.327/0.026

4.45/6.07

Rainfall

−0.0002/0.0001

0.0001/0.00004

−1.640/2.688

0.107/0.010

0.76/3.60

pIOD (1991–2017)

Core 185: r2 = 0.289; p = 0.129; F4,20 = 2.031

Delta_AICc = 0.00

AICcWt = 0.98

Core 200: r2 = 0.543; p < 0.001; F4,23 = 6.821

Delta_AICc = 41.83

AICcWt = 0.00

Intercept

5.264/3.308

6.648/2.734

0.792/1.210

0.438/0.239

—

BC

0.280/0.201

0.207/0.048

1.351/4.155

0.192/<0.001

47.62/61.98

SST

−0.137/−0.082

0.220/0.097

−0.624/−0.841

0.539/0.409

4.90/1.94

TCF

0.066/0.005

0.038/0.018

1.769/0.288

0.092/0.776

45.48/1.07

Rainfall

−8.30 × 10−5/8.06 × 10−5

1.22 × 10−4/5.52 × 10−5

−0.682/1.461

0.503/0.158

1.99/35.01

nIOD (1926–1990)

Core 185: r2 = 0.038; p = 0.890;

F4,28 = 0.277

Delta_AICc = 11.02

AICcWt = 0.00

Core 200: r2 = 0.298; p = 0.087

F4,22 = 2.338

Delta_AICc = 40.67

AICcWt = 0.00

Intercept

−2.142/3.527

5.855/2.061

−0.366/1.711

0.717/0.101

—

BC

0.159/−0.016

0.298/0.108

0.532/−0.152

0.599/0.881

36.78/8.24

SST

0.153/−0.072

0.205/0.069

0.749/−1.040

0.460/0.310

46.10/7.54

TCF

−0.002/−0.027

0.035/0.017

−0.065/−1.576

0.949/0.129

10.62/61.69

Rainfall

−3.26 × 10−5/1.51 × 10−4

1.64 × 10−4/7.65 × 10−5

−0.199/1.974

0.844/0.061

6.49/22.54

  1. Linear Fixed Effect Models and multiple linear regression, with black carbon (BC), sea surface temperature (SST), tropical cyclones frequency (TCF), and rainfall in explaining the annual variance of biosilicate (BSi) during the entire time series (ETS: 1926–2017), the phases of positive Indian Ocean Dipole (pIOD) dominance (1991–2017) and negative Indian Ocean Dipole (nIOD) dominance (1926–1990), respectively, for Core 185 and Core 200. AIC (Akaike information criterion) model outputs Delta-AICc (difference in AIC score between the best model and the model being compared) and AICcWt (proportion of the total amount of predictive power provided) were used to identify the best model for each core and period (bold numbers indicate the variables contribute greatly to BSi or are significant in Linear Fixed Effect Models).
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