Table 2. Equations and r2 and P values for leaf N, P, and N/P ratio relationships with mean annual temperature and absolute value of latitude

Figure

Equation

r2

P value

1

All Species

   

N vs. MAT, bins

log y = 1.25891 + 0.00863x – 0.00046x2

0.75

0.008

N vs. MAT, all data

log y = 1.27373 + 0.00595x – 0.00036x2

0.05

<0.0001

P vs. MAT, bins

log y = 0.35097 + 0.01518x – 0.00366x2 + 0.00009x3

0.95

0.0002

P vs. MAT, all data

log y = 0.37413 – 0.00901x – 0.0005x2

0.39

<0.0001

N/P vs. MAT, bins

log y = 0.900 + 0.014x

0.85

0.0001

N/P vs. MAT, all data

log y = 0.88442 + 0.01547x

0.31

<0.0001

N vs. AL, bins

log y = 1.06944 + 0.00978x – 0.00011x2

0.69

0.02

N vs. AL, all data

log y = 1.17942 + 0.00231x

0.04

<0.0001

P vs. AL, bins

log y = –0.4506 + 0.07227x – 0.0051x2 + 0.00014x3 – 0.000118x4

0.98

0.001

P vs. AL, all data

log y = –0.3246 + 0.0122x

0.34

<0.0001

N/P vs. AL, bins

log y = 1.30985 – 0.00377x – 0.00006x2

0.78

0.005

N/P vs. AL, all data

log y = 1.37432 – 0.00769x

0.24

<0.0001

2

Data by groups

   

N vs. MAT

     

Grasses

log y = 1.3374 – 0.000004x – 0.00056x2

0.10

0.0035

Herbs

log y = 1.22296 + 0.02809x – 0.00126x2

0.08

<0.0001

Shrubs

log y = 1.24046 + 0.00445x – 0.00041x2

0.07

0.0005

Trees

log y = 1.33628 + 0.00007x – 0.00017x2

0.05

<0.0001

Conifers

log y = 1.12038 – 0.00431x

0.10

0.009

P vs. MAT

     

Grasses

log y = 0.34277 – 0.00296x – 0.00114x2

0.31

<0.0001

Herbs

log y = 0.43293 + 0.00442x – 0.00108x2

0.35

<0.0001

Shrubs

log y = 0.29516 + 0.00107x – 0.00128x2

0.48

<0.0001

Trees

log y = 0.3604 – 0.02022x

0.25

<0.0001

Conifers

log y = 0.23425 – 0.01433x

0.49

<0.0001

N/P vs. MAT

     

Grasses

log y = 0.95566 + 0.01014x

0.11

0.001

Herbs

log y = 0.79681 + 0.0172x

0.24

<0.0001

Shrubs

log y = 0.91688 + 0.01623x

0.25

<0.0001

Trees

log y = 1.00264 + 0.01182x

0.20

<0.0001

Conifers

log y = 0.88186 + 0.01074x

0.36

<0.0001

3

Data by groups

   

N vs. P

     

Conifers

log y = 1.0398244 + 0.3666713x

0.31

<0.0001

Grasses

log y = 1.1462143 + 0.5112318x

0.46

<0.0001

Herbs

log y = 1.1443574 + 0.4652923x

0.38

<0.0001

Shrubs

log y = 1.1519265 + 0.2975617x

0.40

<0.0001

Trees

log y = 1.2213062 + 0.4507624x

0.58

<0.0001

4

Data by genera

   

N vs. MAT

     

Acer

log y = 1.31446 – 0.00477x

0.06

0.05

Betula

log y = 1.32638 + 0.00679x

0.16

0.0001

Callamagrostis

log y = 1.42684 – 0.01975x

0.10

0.07

Larix

log y = 1.24569 + 0.00358x

0.07

0.005

Vaccinium

log y = 1.13874 + 0.01599x – 0.00072x2

0.23

0.002

P vs. MAT

     

Acer

log y = 0.74249 – 0.09942x + 0.00424x2

0.39

<0.0001

Betula

log y = 0.34704 – 0.00224x – 0.00069x2

0.04

0.09

Callamagrostis

log y = 1.07264 – 0.11074x

0.69

<0.0001

Larix

log y = 0.34461 – 0.01145x

0.22

<0.0001

Vaccinium

log y = 0.26565 + 0.00878x – 0.00104x2

0.44

<0.0001

N/P vs. MAT

     

Acer

log y = 0.37788 + 0.13769x – 0.00628 x2

0.54

<0.0001

Betula

log y = 0.99091 + 0.01312x

0.21

<0.0001

Callamagrostis

log y = 0.3542 + 0.09099x

0.57

<0.0001

Larix

log y = 0.89695 + 0.01687x

0.34

<0.0001

Vaccinium

log y = 0.86192 + 0.01447x

0.42

<0.0001

5, bins

Data by groups

   

N vs. MAT

     

Grasses

log y = 1.37501 – 0.00036x+72

0.69

0.006

Herbs

log y = 1.395 – 0.0002269 x + 72

0.47

0.03

Shrubs

log y = 1.221 +0.006155x – 0.0004992x2

0.57

0.05

Trees

log y = 1.315 + 0.004906x – 0.0003456x2

0.96

<0.0001

Conifers

log y = 1.332 – 0.0001156 x + 72

0.72

0.002

P vs. MAT

     

Grasses

log y = 0.40211 – 0.00075 x + 72

0.81

0.001

Herbs

log y = 0.530 – 0.0005443 x + 72

0.76

0.002

Shrubs

log y = 0.282 + 0.005518x – 0.001418x2

0.89

0.0004

Trees

log y = 0.332 – 0.000447x + 72

0.76

0.0009

Conifers

log y = 0.232 – 0.0003544 x + 72

0.86

<0.0001

N/P vs. MAT

     

Grasses

log y = 0.9133 + 0.00039x+72

0.68

0.006

Herbs

log y = 0.803 + 0.014x

0.83

0.0006

Shrubs

log y = 0.902 + 0.016x

0.67

0.004

Trees

log y = 0.979 + 0.012x

0.69

0.003

Conifers

log y = 0.89272 + 0.0103x

0.78

0.0007

6, bins

Data by genera

   

N vs. MAT

     

Acer

log y = 1.346 – 0.00786x

0.67

0.004

Betula

log y = 1.335 + 0.00538x

0.56

0.008

Calluna

log y = 1.039 + 0.063x – 0.00465x2

0.88

0.12

Pinus

log y = 1.082 + 0.00704x2 – 0.00047x2

0.25

0.04

Vaccinium

log y = 1.148 + 0.012x – 0.00065x2

0.44

0.03

P vs. MAT

     

Acer

log y = 0.896 – 0.122x + 0.00504x2

0.75

0.015

Betula

log y = 0.351 – 0.00322x – 0.000828x2

0.53

0.05

Calluna

log y = 0.407 + 0.00557x – 0.00372x2

0.93

0.065

Pinus

log y = 0.199 – 0.00809x

0.36

0.002

Vaccinium

log y = 0.00190 x2 – 0.000715x + 0.194

0.45

0.05

N/P vs. MAT

     

Acer

log y = 0.346 + 0.138x – 0.00615x2

0.83

0.005

Betula

log y = 1.018 + 0.010x

0.65

0.003

Calluna

log y = 0.684 + 0.041x

0.97

0.003

Pinus

log y = 0.885 + 0.00839x

0.22

0.02

Vaccinium

log y = 0.916 + 0.014x

0.44

0.01

In several cases where power functions were the best fit, mean annual temperature MAT was adjusted to all positive values by adding 7° C to avoid automatically causing negative and positive MAT to have the same value for the fitted dependent variable. r2, coefficient of determination; AL, absolute value of latitude.