Trends in Biogeochemical Processes Across the Greater ... · • Generalized Random Tesselation...

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Leonard J. Scinto Jennifer Richards, Evelyn Gaiser, Yong Cai,

Tom Philippi, Joel TrexlerFlorida International University

scintol@fiu.edu

Peter I. Kalla and Daniel J. ScheidtUSEPA Region 4

Trends in Biogeochemical Processes Across the Greater Everglades Landscape:

Results of R-EMAP III

Everglades Protection Area

R-EMAP III •Dry (109 sites) and Wet (119 sites) seasons 2005.

•228 stations total sampling.

•Soil, porewater, Floc, surface water, periphyton, and mosquitofishsampled, vegetation studied.

R-EMAP III• Generalized Random Tesselation Stratified (GRTS) sampling to

provide a spatially balanced sample coverage and thus is efficient for contouring or determining broad spatial trends.

• Equal inclusion probabilities within subregions.

• A primary focus is on P and Hg.

• Contributes to CERP

• Identifies relationships between environmental stressors and parameters.

• Enzyme activities (MUFP and MUFC) and C-dynamics. (Sinsabaugh and Findlay 1995; Penton and Newman 2007; Amador and Jones 1993).

nMean ± SDArea

7623.3 ± 10.6 cENP

10042.1 ± 8.5 bWCA3

2541.6 ± 9.7 abWCA2

2547.3 ± 4.0 aLNWR

%

Soil TC•No seasonally significant difference overall or by area, n = 226.

•Soil TP was strongly inversely correlated with TC in LNWR (r = -0.814, p <0.001), positively correlated at WCA2 (r = 0.459, p<0.001) and ENP (r = 0.517, p<0.001) and not correlated in WCA3.

Soil TP

•No seasonally significant difference overall or by area, n = 228.

nMean ± SDArea

78312 ± 149 bENP

100461 ± 182 aWCA3

25489 ± 241 aWCA2

25520 ± 257 aLNWR

µg TP g-1 dw

Historically P entering into the northern Everglades was estimated to be 129 metric tons per year. During the mid ’90s - 376 metric tons per year was coming from drained agricultural land (Davis 1994). Since implementation of BMPS in the 1990s some reduction in P loading (Walker 1999).

EAA < 280, 000 ha (or about 25% of the original Everglades) 80% of this is farmed in sugarcane. Also sod, vegetables, and rice.

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Soil Total P, µg-1 g-1 dw

MU

FC o

r MU

FP, µ

mol

g-1

dwh-1

DRY,WET, R2 = 0.190, p<0.001

NS

WET, R2 = 0.178, p<0.001DRY,WET, R2 = 0.158, p<0.001

R2 = 0.177, p<0.001

DRY,WET, NS

NS

Soil

Floc

nMean ± SDArea

2434.1 ± 6.0 cENP

6839.1 ± 7.0 bWCA3

1339.0 ± 4.7 bcWCA2

1344.4 ± 2.3 aLNWR

%

nMean ± SDArea

24497 ± 300ENP

68585 ± 252WCA3

13721 ± 411WCA2

13836 ± 460LNWR

µg TP g-1 dw

Floc TC

Floc TP

Neither Floc TC nor TP contents varied seasonally for all samples or by areas therefore n = 128.

Floc TP contents varied significantly between sites (p = 0.008) but without power for post-hoc tests (Dunnets).

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FP, µ

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g-1

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DRY,WET, R2 = 0.158, p<0.001

R2 = 0.177, p<0.001

DRY,WET, R2 = 0.142, p=0.003

R2 = 0.233, p<0.001

Floc

DRY,WET, NS

NS

WET, NS

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DRY,WET, R2 = 0.173, p=0.002

R2 = 0.350, p<0.001

FLOC Total P, µg-1 g-1 dw

Floc CO2 Production, µmol g-1 dw h-1

WCA-1 (Loxahatchee NWR)

SawgrassSloughCattail

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 300

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il T

P (m

g k g

-1)

C=695e(-0.52*d) + 288r2 = 0.79, P <0.001

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C=889e(-1.74*d) + 417r2 = 0.89, P = 0.10

WCA-2A

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1000

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Distance from Source Canals, km

ENP-Shark River SloughC=746e(-1.65*d) + 210r2 = 0.82, P < 0.001

Childers et al. 2003 JEQ

1.7 - 2.8 4.2 - 5.9 7.1 - 8.2

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7070

8080

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Soil

Floc

Macrophyte

Consumer

Water

Periphyton

Perc

ent o

f tot

al e

cosy

stem

P st

andi

ng st

ock

Unenriched Transitional Typha

Degree of Enrichment

(g TP m-2)

Soil Total and Methyl Hg positively correlated (p <0.001) with Soil TP and Soil CH4 production. Floc Total Hg positively correlated to Floc TP (p = 0.02) but Methyl Hg was not.

Surf

ace

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OC

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LNWR WCA2 WCA3 ENP

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1112

45 52

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42

<0.001 <0.001

ns

ns

Surface WaterDissolved Organic C

“More Labile”

“Less Biologically Active”

Surface Water Dissolved Organic C Quality

Rudolf JaffeYouhei Yamashita

•Nutrient loading (P) influences rates of microbially-mediated processes which can effect ecosystem chemical processing on landscape scales.

•Soil and Floc CO2 evolution rates were greater during the wet season than during the dry.

•The wet season CO2 evolution from Floc averaged approximately 2 to 10 times that of soil on a dry mass per unit area basis.

•Generally CO2 and CH4 production and MUFP and MUFC activities were significantly correlated in soil and floc, that is, where activity is high for soils it is also for Floc.

Summary

•Seasonality in CO2, CH4, and DOC is likely a function of Wet and Dry cycles and this should therefore be considered in water management, i.e. will the short hydroperiod marsh be maintained.

•P demand, rapid recycling, and retention mechanisms allow strong chemical gradients to develop in the oligotrophicEverglades.

•Additionally, water management may change the character of DOC and other chemical constituents.

Summary