Table 1 Results of spatial linear models (SAR model) of environmental variables and the proportion of fleshy-fruited species for all plants pooled, woody species, and herbaceous species. The proportion of fleshy-fruited species was logit-transformed in the analysis. Pseudo-R2: the squared Pearson correlation between observed and predicted fleshy-fruited species proportions of full models.

From: Contributions of precipitation and temperature to the large scale geographic distribution of fleshy-fruited plant species: Growth form matters

 

All plants pooled

Woody species

Herbaceous species

z

Pseudo-R2

AIC

Moran’s I

z

Pseudo-R2

AIC

Moran’ I

z

Pseudo-R2

AIC

Moran’s I

Precipitation

Sart (MAP)

0.89

58.3

1292

0.006

5.83***

63.3

990

0.002

0.36

42.4

1438

0.007

Sqrt (PWQ)

0.53

52.6

1299

0.009

5.16***

60.7

995

0.001

−0.28

40.3

1442

0.009

Sqrt (PDQ)

1.22

48.7

1293

0.008

4.85***

46.8

996

0.006

1.89

34.2

1437

0.009

Temperature

MAT

5.51***

61.4

1275

0.004

1.06

37.9

1021

0.005

8.06***

43.1

1375

0.002

TCQ

5.83***

55.8

1263

0.001

2.01*

39.2

1015

0.005

8.29***

34.4

1372

0.002

TWQ

4.94***

44.1

1275

0.004

0.01

22.2

1017

0.004

7.62***

36.9

1378

0.003

Variability

MDR

1.18

51.5

1294

0.009

−3.04

48.6

1575

0.005

−0.89

38.2

1435

0.006

PS

−1.70

24.7

1291

0.009

−2.89

20.5

1011

0.004

2.99**

12.1

1429

0.008

TS

−0.06

12.0

1295

0.008

−4.23

14.9

1003

0.002

1.15

4.40

−1428

0.004

  1. *** indicates P < 0.001, **0.001 < P < 0.01, *0.01 < P < 0.05.
  2. All the P-values of the Moran’s I tests for the SAR models were greater than 0.1. Precipitation variables for MAP: mean annual precipitation, PWQ: precipitation of wettest quarter and PDQ: precipitation of driest quarter, were square root transformed in the analysis. MAT: mean annual temperature; TCQ: temperature of the coldest quarter; TWQ: mean temperature of warmest quarter; MDR: mean diurnal range; PS: precipitation seasonality; TS: temperature seasonality. Dev: percentage deviance explained by the models.