Name:_______________________________________________________ Section:                             

part 1:  data compilation

1.   Calculate Im to the nearest whole number for the last ten stations in Table 14.2 using equation 1. 

2.      Locate these same ten stations at “x”s on the maps of ecoregions (Figure 14.2) and soil orders (Figure 14.3).  Record the letter codes representing the vegetation and soil at each station (Table 14.1) to complete Table 14.2.  For mixed vegetation, use the first type listed in the ecoregions map (Figure 14.2) key.

TABLE 14.1  Vegetation and Soil Codes

Use:

For:

Use:

For:

R

Tropical Rainforest

s

Spodosols ("ash-colored")

B

Broadleaf temperate forest

a

Alfisols ("aluminum & iron stains")

N

Needleleaf forest

m

Mollisols ("soft & friable")

S

Savanna

u

Ultisols ("old")

G

Grassland

o

Oxisols ("oxidized")

D

Desert

v

Vertisols ("turning over")

T

Tundra

h

Histosols ("tissue-like")

 

 

d

Aridisols ("dry")

 

 

e

Entisols ("recent")

 

 

i

Inceptisols ("beginning")

 

 

v

Andisols (“volcanic andesite”)

 

 

g

Gelisols (“gelifluction & frost heaving”)

 

TABLE 14.2  Station Data

#

Station

Location

P

PE[NcH1] 

Im

Vegetation

Soil

1

Buenos Aires, Argentina

35S/059W

1005

759

+32

G

m

2

Belem, Brazil

02N/049W

2833

1537

+84

R

i

3

Monterrey, Nuevo Leon

26N/100W

606

1100

-45

D

d

4

Oklahoma City, Oklahoma

36N/098W

818

776

+5

G

m

5

Tucson, Arizona

32N/111W

295

1024

-71

D

d

6

El Oregano, Sonora

29N/111W

363

1731

-79

D

d

7

Tonopah, Nevada

40N/116W

134

576

-77

D

d

8

Berthoud Pass, Colorado

40N/106W

958

285

+236

T

i

9

Williston, North Dakota

48N/104W

352

487

-28

G

m

10

Minneapolis, Minnesota

44N/093W

701

532

+32

B

a

11

Fairbanks, Alaska

65N/148W

268

357

-25

N

g

12

Barrow, Alaska

71N/157W

112

222

-49

T

g

13

Hay River, Northwest Territories

61N/116W

326

336

-3

N

s

14

Cartwright, Newfoundland

54N/057W

966

336

+187

T

e

15

Dryden, Ontario

50N/093W

671

424

+58

B

s

16

Moose Jaw, Saskatchewan

51N/106W

368

453

-19

G

m

17

Edmonton, Alberta

54N/114W

454

426

+7

N

a

18

Windsor, Ontario

42N/083W

831

549

+51

B

a

19

Churchill, Manitoba

59N/094W

402

268

+50

T

h

20

Reykjavik, Iceland

64N/016W

818

410

+100

T

g

21

Cork, Ireland

52N/009W

1081

563

+92

B

a

22

Turku, Finland

61N/022E

632

419

+51

B

s

23

Murmansk, Russia

69N/033E

412

321

+28

N

s

24

Irkutsk, Russia

52N/105E

418

378

+11

N

i

25

Urumqi, China

44N/881E

254

558

-54

D

d

26

Ho Chi Minh City, Vietnam

11N/107E

1934

1712

+13

S

u

27

Kolkata, India

23N/089E

1633

1781

-8

S

u

28

Tehran, Iran

36N/052E

239

848

-72

D

d

29

Singapore, Singapore

01N/104E

2272

1687

+35

R

o

30

Cairo, Egypt

30N/031E

28

1035

-97

D

d

31

Douala, Camaroon

4N/010E

4000

1380

+165

R

o

32

Windhoek, Namibia

23S/017E

367

865

-58

D

d

33

Cape Town, South Africa

34S/019E

611

753

-19

S

a

34

Mombasa, Kenya

04S/040E

1144

1587

-28

S

a

35

Entebbe, Uganda

00S/033E

1535

971

+58

S

u

36

Banjarmasin, Indonesia

04N/115E

2553

1610

+59

R

o

37

Maputo, Mozambique

26S/033E

767

1078

-29

S

d

38

Kisangani, Congo

01N/025E

1858

1273

+46

R

o

39

Harare, Zimbabwe

18S/031E

827

813

+2

S

a

40

Luanda, Angola

09S/013E

369

1207

-69

S

d

41

Green Bay, Wisconsin

45N/090W

725

504

+44

B

a

42

Longmont, Colorado

40N/105W

327

544

-40

G

d

43

St. Louis, Missouri

39N/090W

939

698

35

G

a

44

Washington, DC

39N/077W

990

725

37

B

u

45

Atlanta, Georgia

34N/084W

1237

783

58

B

u

46

Manaus, Brazil

03S/060W

2081

1611

29

R

i

47

Iquitos, Peru

04S/073W

2878

1519

89

R

o

48

Leticia, Colombia

04S/071W

2811

884

218

R

o

49

Iquique, Chile

20S/070W

2

793

-100

D

d

50

Brasilia, Brazil

16S/048W

1555

920

-13

G

a

 

 


Name:________________________________________________             Section:________________

part 2:  graph classifications

1.   Figures 14.4 (vegetation graph) and 14.5 (soils graph) were created using the data in Table 14.2.  Plot the last ten stations on each graph.

2.   Encircle clusters of the same letters on Figures 14.4 (vegetation graph) and 14.5 (soils graph) (skip this for entisols and inceptisols), after the grassland and mollisol examples.  The enclosure lines may overlap.  Then shade the separate clusters in different colors.  It would be a good idea to do this in pencil!

3.   Compare Figures 14.4 (vegetation graph) and 14.5 (soils graph) with Figure 14.1.  While you will have some difference in appearance, there should also be some degree of correspondence between your patterns and those of Figure 14.1. 

a.   Which of your vegetation and soils zones seem to fall most consistently into their correct places according to Figure 14.1? R, D, G for biomes; o, a, d, m, and s for soils

 

 

b.   Which of your vegetation and soils zones seem to fall most inconsistently into their correct places according to Figure 14.1?  B, N for vegetation; e, I, a for soils

 

 

4.   List all vegetation and the soil orders on Figures 14.4 (vegetation graph) and 14.5 (soils graph) that correspond most closely with the following climates:

Climate

Vegetation Letter Code(s)

Soil Letter Code(s)

Tropical (Köppen A)

R, S

o, u

Subtropical (Köppen C)

S, B

a, u

Continental (Köppen D)

B, N

a, s

Frozen (Köppen E)

T, N

i, h, s

Arid (Köppen B)

D, G, S

a, d, m

 

Figure 14.4  Vegetation Graph

Figure 14.5  Soil Orders Graph

Name:                                                                                                  Section:                          

Part 3: Interpretive Applications

Description

1.   What soil(s) and climate(s) best correspond to each vegetation?  Use Table 14.2, Figure 14.4 (vegetation graph), and Figure 14.5 (soils graph).

Vegetation

Soil Code

Climate

Tropical Rainforest (R)

o, u

A

Broadleaf Temperate Forest (B)

a, d

B, C, D

Needleleaf Forest (N)

s

D

Savanna (S)

a, d, u

A, B

Grassland (G)

d, m

B, C

Desert (D)

d

B

Tundra (T)

e, h, i

E

2.   Draw a line that separates forest from non-forest vegetation on the vegetation graph (Figure 14.4).  This line shows the environmental limits to forest vegetation, something we can actually see on the landscape – the treeline: a boundary beyond which trees do not grow.

3.   a.   What would be a good approximate cutoff Im value separating savanna from desert? 

-50

b.   What would be a good approximate cutoff PE value separating tundra from forest?

300 mm

c.   Describe the temperature and moisture conditions necessary for forest to exist.

Almost any temperature (PE), but usually moist (Im>0) unless alternative sources of water are available (e.g., some climatic dry Broadleaf are riverbank forests)

 

Explanation

            Some soil orders (e.g., mollisols) cluster pretty much into their own exclusive areas on Figure 14.5.  Others (e.g., oxisols and ultisols) seem to share part of their graph zones.  Some orders, inceptisols and entisols, do not seem to cluster very much at all, but appear almost randomly on the graph.  Consider the meaning of the axis variables in Figures 14.4 and 14.5 as you try to explain soil occurrence tendencies below.

4.   Name another soil order that clusters into its own graph zone.  What vegetation (on Figure 14.4) does this soil consistently coincide with, and what climatic conditions evidently exist where this soil and vegetation develops? 

               Soil                                      Vegetation                                Climate

            s

N

D (cold, but humid enough for forest)

 

5.   a.   Name two soil orders that overlap, and thus share a graph zone.  a & m, or o & u

 

b.   What climatic conditions (hot/cold, wet, dry) does their overlap represent? 

moderate heat and moisture, or variably humid but warm

c.   What non-climatic factors might cause these two different soils to form under similar climatic conditions?

Soil/bedrock permeability, sea level changes, bedrock composition, etc.

6.   What non-climatic situations could produce entisols and inceptisols across a variety of different climates, as these soil orders appear within Figure 14.5?

geologic disturbances (volcanoes, isostacy, etc.), hydrologic alteration

7.   Some of the vegetation (Figure 14.4) may overlap or contain outlyers, implying that several types of vegetation coexist together.  Give one possible explanation for joint (instead of exclusive) occupation of the same graph zone by unlike vegetation.

Competition, adaptation, importation, relictual distributions, human management

 

 

Prediction

8.   Using your graphs and comparing the PE and Im values in Table 14.1, what vegetation and soil (use our letter codes) do you predict for the following hypothetical places?  Then indicate locations where each of these ecosystems might typically occur.

PE

Im

Vegetation

Soil

Likely North America Location

375

-5

N

s

central Canada

610

-31

G

m, a, d

western Great Plains

733

+27

B, G, S

a, m, u

southern Great Plains (Texas)

1225

-95

B, D

d

New Mexico, Arizona, Sonora

1475

+105

R

o, u

Caribbean, Middle America

 

 

 

 


 [NcH1] Computations of potential evapotranspiration (PE) for this exercise follow C. W. Thornthwaite’s method, using               PE = 1.6(10(T/I)a

                                                Where T = monthly temperature (°C)

                                                            I = annual heat index; sum of 12 monthly heat index

      values (i) from i = (t/5)1.514

a = .000000675 I3 - .0000771 I2 + .0179 I + .49

See also Mather, John.  Climatology; Fundamentals and Applications.  New York:  McGraw-Hill, 1974. p. 66-67