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Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1...

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2 Are human activities main drivers of soil organic carbon losses in mountain rainfed agroecosystems? 2020 1 Ivan Lizaga 1 ([email protected] ; [email protected]) Leticia Gaspar 1 , Laura Quijano 2 , Mª.C. Ramos 3 , Ana Navas 1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges Lemaître Centre for Earth and Climate Research Earth and Life Institute, Belgium 3 University of Lleida, Environment and Soil Sciences, Lleida, Spain
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Page 1: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

2

Are human activities main drivers of soil organic carbon losses in mountain rainfed agroecosystems?

2020

1

Ivan Lizaga1

([email protected] ; [email protected])

Leticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1

1 3

1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges Lemaître Centre for Earth and Climate Research

Earth and Life Institute, Belgium 3 University of Lleida, Environment and Soil Sciences, Lleida, Spain

Page 2: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

Study area

Agricultural

Rangeland

Subsoil

Channel bank

2

Page 3: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

SOC variation

Pre-event channel-bed samples

under regular floods

Post-event channel-bed samples

under exceptional floods Pre-event Post-event

3

Page 4: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

SOC export vs cropland cover

SOC contents are higher in rangeland soils at the headwaters,

but highest SOC content is found in channel bed samples at the catchment outlet.

AG RG SS CB

SOC (%) 2.6 3.4 0.3 0.5

Soil Erosion Mg ha−1 yr−1

-31 -6 - -

0

0.5

1

1.5

2

2.5

3

3.5

CO ST 2 ST 1

SOC (%) variation

pre-event

post-event

V

º

V

º

v

4

Page 5: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

Fingerprinting sampling and analysis

χ Tracers

5cm

Active channel 5 cm | < 0.63

Channel Bank 5 cm | < 0.63

Sources 5 cm | < 0.63

5

Page 6: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

Unmixing procedure 6

Page 7: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

Tracer selection

Lizaga, I., Latorre, B., Gaspar, L., Navas, A., 2020.

Consensus ranking as a method to identify non-

conservative and dissenting tracers in fingerprinting

studies. Science of The Total Environment 720,

137537.

https://doi.org/10.1016/j.scitotenv.2020.137537

Consensus method

7

Page 8: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

FingerPro model

¿?

Lizaga.I, Latorre. B, Gaspar.L and Navas.A (2018). fingerPro: Sediment Source Fingerprinting.

R package version 1.1. https://github.com/eead-csic-eesa

8

Page 9: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

supporting ridge or bank

Spatial assessment

Pre-event

Post-event

Pre-event

Post-event

9

Page 10: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

Pre

-eve

nt

Po

st-e

ven

t 10

Spatial assessment

Page 11: Presentación de PowerPointLeticia Gaspar1, Laura Quijano2, Mª.C. Ramos3, Ana Navas1 1 3 1 EEAD-CSIC, Soil and Water, Zaragoza, Spain 2 Université Catholique de Louvain, Georges

Conclusions

The direct connectivity of croplands along with the lack of riparian vegetation at the lower

part of the catchment produce high agricultural sediment exports during severe storm

events.

Despite higher SOC values in rangeland soils at headwaters, the predominant more

eroded croplands in the lower part of the catchment substantially increase SOC supply to

the stream.

Under exceptional storm events the bare surfaces in croplands deliver important amounts

of SOC.

Implementation of FingerPro model with the novel consensus method allow tracing the

variations of sediment provenance during the pre and post- extreme storm event to track

SOC export patterns.

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