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Table 3 Models proposed to predict the effect of landscape variations on Anopheles cruzii abundance (mean number of mosquitoes collected per human/hour) and acrodendrophily (measured as the proportion of mosquitoes collected at ground level)

From: Effects of anthropogenic landscape changes on the abundance and acrodendrophily of Anopheles (Kerteszia) cruzii, the main vector of malaria parasites in the Atlantic Forest in Brazil

Response variable

Explanatory variable

Fixed effect

Random effect (standard deviation of the random-effect intercepts)

AICc

∆AICc

Weight

Intercept

Slope

Month

Year

Mean Anopheles cruzii abundance per human/hour

Forest cover 1 km

− 1.935 (0.507)

5.508 (0.244)

1.040

0.777

1391.5

0

0.961

Total edge 500 m

7.786 (0.583)

− 0.899 (0.046)

1.182

0.879

1398.1

6.6

0.036

Anthropogenic use 1 km

3.487 (0.465)

− 5.225 (0.232)

1.037

0.785

1403.2

11.7

0.003

Anthropogenic use 500 m

3.395 (0.433)

− 3.774 (0.173)

1.022

0.699

1465.3

73.8

< 0.001

Forest cover 500 m

− 0.379 (0.457)

3.775 (0173)

1.022

0.700

1465.4

73.9

< 0.001

Total edge 1 km

5.695 (0.499)

− 0.139 (0.007)

0.995

0.847

1599.9

208.5

< 0.001

Forest fragments 500 m

3.589 (0.486)

− 0.302 (0.016)

0.994

0.866

1627.9

236.4

< 0.001

Forest fragments 1 km

3.326 (0.482)

− 0.101 (0.006)

0.979

0.863

1749.2

357.8

< 0.001

Null model

2.645 (0.497)

–

1.002

0.898

2055.2

663.7

< 0.001

Proportion of Anopheles cruzii at ground level

Total edge 500 m

− 6.618 (1.429)

0.795 (0.142)

2.287

2.050

325.1

0

0.886

Forest cover 1 km

2.552 (1.389)

− 5.371 (1.045)

2.322

1.873

331.0

5.9

0.047

Anthropogenic use 500 m

− 2.651 (1.138)

3.710 (0.740)

2.308

1.985

332.4

7.3

0.024

Forest cover 500 m

1.057 (1.269)

− 3.709 (0.741)

2.308

1.984

332.4

7.3

0.023

Anthropogenic use 1 km

− 2.721 (1.102)

5.033 (1.008)

2.321

1.866

332.7

7.6

0.020

Total edge 1 km

− 4.412 (1.242)

0.115 (0.029)

2.266

1.801

343.6

18.5

< 0.001

Forest fragments 500 m

− 2.398 (1.069)

0.161 (0.073)

2.236

1.794

354.1

28.9

< 0.001

Null model

− 1.940 (1.037)

–

2.173

1.795

356.6

31.5

< 0.001

Forest fragments 1 km

− 2.139 (1.053)

0.034 (0.028)

2.200

1.787

357.4

32.3

< 0.001

  1. The values of the models with the best fit are shown in italics
  2. Landscape variables were measured for 500 m and 1 km buffers around the collection point. For each model the intercept and slope for the fixed effect, the standard deviation of the random-effect intercepts, the Akaike information criterion for small samples (AICc and ΔAICc) and Akaike weight are shown. The standard error of estimates is shown in brackets
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Malaria Journal

ISSN: 1475-2875

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