The Biogeochemistry of Ji-Paraná River, Rondônia. SH-37.9Nei Kavaguichi Leite1, Alex V. Krusche1, Reynaldo L. Victoria1, Maria V. Ballester1, Jeffrey E. Richey2

nkleite@cena.usp.br - 1Centro de Energia Nuclear na Agricultura-USP2University of Washington

INTRODUCTIONINTRODUCTION

The Amazon region has undergone intensive deforestation during the last decades resulting in changes in its landscape. Mainly along the BR-364 road,

an area formerly covered by forests is now occupied by extensive pastures, with impacts in the aquatic systems that are still not known. This study

focus on the identification of the relative importance of natural and anthropogenic characteristics of the basin in the biogeochemistry of the Ji-Paraná

river and its main tributaries, assuming that the chemistry of river waters reflects what happens in its basin. To achieve that, a comparative approach

was used, in which differences between systems with distinct soils and land use/cover were analyzed, as well as seasonal variations, during the period

of 1999-2002. OBJECTIVESOBJECTIVES

Analyze the spatial variability in water chemistry of main tributaries and main steam of the Ji-Paraná river basin;

Link this variability with natural and anthropogenic features in this watershed.

METHODSMETHODS

COM-1

COM-2

PB-1

PB-2

ROLIM

J IP-1

URUPÁ

J IP-2

JARÚ J IP-3

MAC

J IP-4

J IP-5PRETO

Rio Comemoraç

ão

R

io Pi me

nta B

uen

o

R

io R ol im

d

e Moura

R

io Urup á

Rio J

arú

Rio

Machad in

ho

Rio Preto

0 40 80 120 16020Km

®63°0'0"W

63°0'0"W

62°0'0"W

62°0'0"W

61°0'0"W

61°0'0"W

60°0'0"W

60°0'0"W

13°0'0"S 13°0'0"S

12°0'0"S 12°0'0"S

11°0'0"S 11°0'0"S

10°0'0"S 10°0'0"S

9°0'0"S 9°0'0"S

8°0'0"S 8°0'0"S

RO BRASILRO BRASILRO BRASIL

COM-1

COM-2

PB-1

PB-2

ROLIM

J IP-1

URUPÁ

J IP-2

JARÚ J IP-3

MAC

J IP-4

J IP-5PRETO

Rio Comemoraç

ão

R

io Pi me

nta B

uen

o

R

io R ol im

d

e Moura

R

io Urup á

Rio J

arú

Rio

Machad in

ho

Rio Preto

0 40 80 120 16020Km

®63°0'0"W

63°0'0"W

62°0'0"W

62°0'0"W

61°0'0"W

61°0'0"W

60°0'0"W

60°0'0"W

13°0'0"S 13°0'0"S

12°0'0"S 12°0'0"S

11°0'0"S 11°0'0"S

10°0'0"S 10°0'0"S

9°0'0"S 9°0'0"S

8°0'0"S 8°0'0"S

RO BRASILRO BRASILRO BRASIL

Study Area Land Use/Cover Sampling Methods

0

100

200

300

400

500

jan fev mar abr mai jun jul ago set out nov dez0

400

800

1200

1600

2000

Monthly Average Precipitation Monthly Average Discharge

Pre

cipita

tion (m

m)D

isch

arg

e (

m3.s

-1)

Hydrologic Features

Neossolos Flúvicos

Neossolos Quartzarênicos

Cambissolos

Gleissolos

Latossolos

Neossolos Litólicos

Planossolos

Plintossolos

Argissolos

Nitossolos

0 30 60 90 12015km

Neossolos Flúvicos

Neossolos Quartzarênicos

Cambissolos

Gleissolos

Latossolos

Neossolos Litólicos

Planossolos

Plintossolos

Argissolos

Nitossolos

Neossolos Flúvicos

Neossolos Quartzarênicos

Cambissolos

Gleissolos

Latossolos

Neossolos Litólicos

Planossolos

Plintossolos

Argissolos

Nitossolos

0 30 60 90 12015km

0 30 60 90 12015km

Soil63°0'0"W

63°0'0"W

62°0'0"W

62°0'0"W

61°0'0"W

61°0'0"W

60°0'0"W

60°0'0"W

13°0'0"S 13°0'0"S

12°0'0"S 12°0'0"S

11°0'0"S 11°0'0"S

10°0'0"S 10°0'0"S

9°0'0"S 9°0'0"S

Pastagem

Solo Exposto

Nuvens

Floresta

Rebrota

Cerrado

Água

Cidades

0 30 60 90 12015km

0 30 60 90 12015km

63°0'0"W

63°0'0"W

62°0'0"W

62°0'0"W

61°0'0"W

61°0'0"W

60°0'0"W

13°0'0"S

12°0'0"S 12°0'0"S

11°0'0"S 11°0'0"S

10°0'0"S

9°0'0"S 9°0'0"S

63°0'0"W

63°0'0"W

62°0'0"W

62°0'0"W

61°0'0"W

61°0'0"W

60°0'0"W

13°0'0"S

12°0'0"S 12°0'0"S

11°0'0"S 11°0'0"S

10°0'0"S

10°0'0"S

9°0'0"S 9°0'0"S

Pasture

Baren Soil

Clouds

Forest

Regrowth

Savanna

Water

Urban

0 30 60 90 12015km

0 30 60 90 12015km

RESULTSRESULTS

0 0.2 0.4 0.6 0.8 1

N a + + K +

1

0.8

0.6

0.4

0.2

0

Ca 2+

1

0.8

0.6

0.4

0.2

0

Mg

2+

C om -1

P b-1

C om -2

P b-2

Jip-1

R olim

U rupá

Jip-2

Jip-3

Jarú

M ac

Jip-4

Jip-5

P reto

A

B

0 0.2 0.4 0.6 0.8 1

H C O 3- + C O 3

-

1

0.8

0.6

0.4

0.2

0

Cl -

1

0.8

0.6

0.4

0.2

0

SO 4

-

C om -1

P b-1

C om -2

P b-2

Jip-1

R olim

U rupá

Jip-2

Jip-3

Jarú

M ac

Jip-4

Jip-5

P reto

The dispersion observed at the cation ternary

diagrams is explained by a mixture of rivers enriched

in Na+ and K+ (Comemoração and Pimenta Bueno

headwaters) with rivers enriched in Ca2+ (Rolim de

Moura, Urupá and Jarú). The anion ternary diagram

shows a dominance of bicarbonates.

CONCLUSIONSCONCLUSIONS

The seasonal and spatial variability showed different patterns, with strong correlations with natural features of the basi,n such as soil fertility and

geology. Furthermore, we also found strong correlation with the different land use/cover, considering that the sites exhibiting the most fertile soils are

located on the most impacted areas of the basin. Although our data don't allow us to isolate the factors controlling water chemistry, the higher nutrient

concentrations (C,N and P) on the most disturbed areas are indications that anthropogenic changes are already being reflected in biogeochemistry of

these rivers.

ElectricalConductivity

OxygenandTemperature

pH

DionexDX – 500Cations, Anions

ShimadzuTOC 5000A

Glass Fiber, 0,7 mm

CelluloseAcetate, 0,45 mm

DOC - HgCl2(300M Hg)

Thymol(10 mg/100mL)

Niskin Bottle DIC HgCl2(300M Hg)

0

1000

2000

3000

4000

J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D

Média Histórica JIP-4

Dis

char

ge (

m3

. s-1)

1999 2000 2001

Sampling Dates

TZ

+

-100

100

300

500

700

900

1100

Co

m-1

Co

m-2

Pb

-1

Pb

-2

Jip

-1

Ro

lim

Uru

pá

Jip

-2

Jip

-3

Jarú

Ma

c

Jip

-4

Jip

-5

Pre

to

Min-Max

25%-75%

Mediana

TZ

-

-100

100

300

500

700

900

1100

Co

m-1

Co

m-2

Pb

-1

Pb

-2

Jip

-1

Ro

lim

Uru

pá

Jip

-2

Jip

-3

Jarú

Ma

c

Jip

-4

Jip

-5

Pre

to

Min-Max

25%-75%

Mediana

pH

4.0

4.5

5.0

5.5

6.0

6.5

7.0

7.5

8.0

Com

-1

Com

-2

Pb-

1

Pb-

2

Jip-

1

Rol

im

Uru

pá

Jip-

2

Jip-

3

Jarú

Mac

Jip-

4

Jip-

5

Pre

to

Min-Max

25%-75%

Mediana

CID

-100

0

100

200

300

400

500

600

700

800

Co

m-1

Co

m-2

Pb

-1

Pb

-2

Jip

-1

Ro

lim

Uru

pá

Jip

-2

Jip

-3

Jarú

Ma

c

Jip

-4

Jip

-5

Pre

to

Min-Max

25%-75%

Mediana

CO

D (

mg

.L-1

)

0

2

4

6

8

10

Com

-1

Com

-2

Pb-

1

Pb-

2

Jip-

1

Rol

im

Uru

pá

Jip-

2

Jip-

3

Jarú

Mac

Jip-

4

Jip-

5

Pre

to

Min-Max

25%-75%

Mediana

NO

3- (

mM

)

-2

2

6

10

14

18

22

Com

-1

Com

-2

Pb-

1

Pb-

2

Jip-

1

Rol

im

Uru

pá

Jip-

2

Jip-

3

Jarú

Mac

Jip-

4

Jip-

5

Pre

to

Min-Max

25%-75%

Mediana

NO

2- (uM

/L)

-5

0

5

10

15

20

25

30

35

Com

-1

Com

-2

Pb-

1

Pb-

2

Jip-

1

Rol

im

Uru

pá

Jip-

2

Jip-

3

Jarú

Mac

Jip-

4

Jip-

5

Pre

to

Min-Max

25%-75%

Mediana

Min-Max

25%-75%

Mediana

PO

43- (

uM/L

)

-0 .2

0.2

0.6

1.0

1.4

1.8

2.2

2.6

Com

-1

Com

-2

Pb-

1

Pb-

2

Jip-

1

Rol

im

Uru

pá

Jip-

2

Jip-

3

Jarú

Mac

Jip-

4

Jip-

5

Pre

to

Min-Max

25%-75%

Mediana

Min-Max

25%-75%

Mediana