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DESERTNET FEDER INTERREG III B ESPACIO MEDOC MONITORING AND ACTIONS TO COMBAT DESERTIFICATION IN THE MEDITERRANEAN EUROPEAN REGION Dra. Carmen Pérez Sirvent Profesora Titular de la Universidad de Murcia Región de Murcia Spain Universidad de Murcia Comunidad Autónoma de la Región de Murcia

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Page 1: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

DESERTNETFEDERINTERREG III B

ESPACIO MEDOC

MONITORING AND ACTIONS TO COMBAT DESERTIFICATION

IN THE MEDITERRANEAN EUROPEAN REGION

Dra. Carmen Pérez Sirvent

Profesora Titular de la Universidad de Murcia

Región de MurciaSpain

Universidad de Murcia

Comunidad Autónoma de la Región de Murcia

Page 2: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

OBJECTIVES

− To extend desertification studies to factors that haven´t been treated enough, such as chemical degradation of soils.

− To obtain information and elaborate indicators related to changes in land uses and its management in the four pilot areas selected.

− To distinguish between natural and anthropogenic factors, with the purpose of suggesting action and remediation plans in addition to good management practices that can be included in agricultural and environmental policy.

Physical Chemical Biological

Procceses affecting degradation of soil

Health problems

Salinization Alcalinization

Loss of fertilityIncrease in

metalsmobility

Fitotoxicity

Food chainDESERNET

REGIÓN DE MURCIA

Physical Chemical Biological

Procceses affecting degradation of soil

Health problems

Salinization Alcalinization

Loss of fertilityIncrease in

metalsmobility

Fitotoxicity

Food chainDESERNET

REGIÓN DE MURCIA

Physical Chemical Biological

Processes affecting degradation of soil

Health problems

Salinization Alcalinization

Loss of fertilityIncrease in

metalsmobility

Phytotoxicity

Food chainDESERNET

REGIÓN DE MURCIA

Page 3: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

METHODOLOGY

Square plot (3x3 km)

Design of sampling

Mixing andhomogeneization

Representativesample of sampling

point

5 superficial samples(0 – 25 cm)

Soil sampling

LABORATORY

GPS

Page 4: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

METHODOLOGY

SAMPLE

S AIR DRIED Fraction <2m

m (0-2

5 cm

)

EC, saturation extract

(Rhoades, 1982)

pH, 1:1 extracts Peech´s Method

(1965)

PLANT- AVAILABLE METALS DETERMINATION (DTPA, Lindsay and Norvell, 1978)

Micronutrient metals: Zn, Cu, Fe y Mn

Phytotoxic metals: Pb y Cd

MINERALOGICAL COMPOSITION (XRD)

STATISTICAL ANALYSIS OF RESULTS

GIS METHODOLOGY

Soluble salts (IC)SAR

Page 5: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

MONITORING METHODOLOGY

MONITORED AREA

ENVIRONMENTAL STUDY

PERIODIC SOIL SAMPLING

LAND USES

DATA BASE

INDEX

GIS

SPATIO-TEMPORAL INFORMATION

PROPOSAL OF ACTIONS

Page 6: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Sampling points location map

Vega Alta

Vega Media

Valle Guadalentín Campo Cartagena

Page 7: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Campo de Cartagena: 84 samples

One of the most important agricultural areas in the Región of Murcia, with a highly productiveirrigated agriculture and metal-mining influence. No salinization problems due to parent material.

Page 8: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Valle del Guadalentín: 73 samples

Alluvial soils in the Guadalentin River Basin, with historical irrigation systems, at presentcoexisting with a highly productive irrigated agriculture. Salinization problems, mainly due tonatural factors although human actions have influenced the proccess.

Page 9: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Vega Alta: 26 samples

Alluvial soils where intensive agriculture is practiced, but not affected by salinization andcontamination.

Page 10: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Vega Media: 22 samples

Alluvial soils in the Segura Basin that have long been dedicated to growing a variety of crops. During recent years, however, they have suffered a number of impacts from various sectorsincluding urban expansion, intensification of agriculture practices and the use of poor qualityirrigation water.

Page 11: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Monthly rainfall average (1992-2002)

0,0

5,0

10,0

15,0

20,0

25,0

30,0

35,0

40,0

45,0

Jan Feb Ma Ap May Jun Jul Aug Sep Oct Nov Dec

l/m2

Campo Cartagena Vega Media Valle del Guadalentin Vega alta

Anual average temperature evolution (1992-2002)

15,5

16,0

16,5

17,0

17,5

18,0

18,5

19,0

19,5

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002

ºC

Campo de Cartagena Vega Media Valle del Rio Guadalentin Vega alta

CLIM

ATIC

CO

ND

ITIO

NS

Semiaridic Mediterranean climate

R<350 l/m2 Tm= 16-19ºC

Page 12: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

DA

TA

BA

SE 50 MAPS

• Mineralogical composition• land use• pH• EC• SAR• Fe• Cu• Mn• Zn• Pb• Cd

Page 13: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Land uses map in the four pilot areas

Vega AltaVega Media

Valle Guadalentín Campo Cartagena

DATA BASE

Usos del suelo

33%

30%

19%

18% Goteo

Manta

Secano

Otros

Land uses. Total of samples = 205

Page 14: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Mineralogical composition map in the four pilot areas

Vega AltaVega Media

Valle Guadalentín Campo Cartagena

DATA BASE

Mineralogía

65%18%

14% 3%GRUPO 1

GRUPO 2

GRUPO 3

GRUPO 4

Mineralogical composition. Total of Samples = 205

Mineralogía

65%18%

14% 3%GRUPO 1

GRUPO 2

GRUPO 3

GRUPO 4

Mineralogical composition. Total of Samples = 205

Page 15: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

DATA BASEpH distribution map EC distribution map

SAR distribution map

Page 16: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

DATA BASE

Plant-available Cu distribution map Plant-available Fe distribution map

Plant-available Zn distribution map Plant-available Mn distribution map

Page 17: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

DATA BASE

Plant-available Pb distribution map

Plant-available Cd distribution map

Page 18: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

– State of salinization (four pilot areas).

– Rate of salinization (four pilot areas).

− State of alcalinization (Vega Media).

– Rate of alcalinization (Vega Media).

− Loss of fertility: loss of micronutrient metals Fe, Cu, Mnand Zn (Vega Media).

− Risk of phytotoxicity: Increase of plant-available Pband Cd (Vega Media).

DEFINED INDICATORS:

21 MAPS

Page 19: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

STATE OF SALINIZATION INDICATOR:

Objective: Quantitative control of soluble salts in soil by EC values obtained fromsaturation extract, which reflects an edaphic process that can be dueto natural and/or anthropogenic causes.

Method: EC measurement in saturation extracts obtained from a soil paste saturated with deionized water.

Units: ds m-1

Slight, moderate, high, very high

Page 20: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

RATE OF SALINIZATION INDICATOR:

Objective: Quantitative control of soluble salts variation in soil for a period oftime, which reflects an edaphic proccess that can be due to natural and/or anthropogenic causes.

Method: Diference of EC values in saturation extracts divided by the number ofyears in the period of time.

Units: ds m-1 year -1

Negative, slight, moderate, severe, very severe

Page 21: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

STATE OF ALCALINIZATION INDICATOR:Objective: Quantitative control of the presence of sodium in soil by SAR values

obtained from saturation extract, which reflects an edaphic processthat can be due to natural and/or anthropogenic causes.

Method: Measuring Na, Ca and Mg concentration in saturation extracts obtainedfrom a soil paste saturated with deionized water.

Units: Adimensional parameter obtained from the expressionSAR = Na / ((Ca+Mg)/2))1/2

Slight, moderate, high, very high

Page 22: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

RATE OF ALCALINIZATION INDICATOR:

Objective: Quantitative control of the excess of sodium in soil by SAR values for a period of time, which reflects an edaphic process that can be due tonatural and/or anthropogenic causes.

Method: Difference of SAR values divided by the number of years in the periodof time.

Units: ∆RAS year-1

Negative, slight, moderate, severe, very severe

Page 23: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

LOSS OF FERTILITY INDICATORS:

Objective: Evaluation of loss of fertility in a soil, as a function of plant-availablemicronutrient metals (Fe, Cu, Mn and Zn), for a period of time.

Method: Difference of plant-available micronutrient metals in a 0.005 DTPA solution (Lindsay and Norvell, 1978) divided by the number of yearsin the period of time.

Units: mg kg-1 year-1

Loss of fertility indicator FeLoss of fertility indicator CuLoss of fertility indicator MnLoss of fertility indicator Zn

Loss, no variation/increase

Page 24: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

RISK OF PHYTOTOXICITY INDICATORS:

Objective: Evaluation of risk of phytotoxicity in a soil, as a function of plant-available trace metals (Pb and Cd), for a period of time.

Method: Difference of plant-available trace metals in a 0.005 DTPA solution(Lindsay and Norvell, 1978) divided by the number of years in theperiod of time.

Units: mg kg-1 year-1

Risk of fitotoxicity PbRisk of fitotoxicity Cd

Increase, decrease/no variation

Page 25: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

CONCLUSIONS

DESERNET has allowed a methodology for theidentification, monitorization and attenuation of thedesertification process to be developed.

Such a methodology is of great interest for theparticular case of the Region of Murcia

Page 26: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

CONCLUSIONS

The indicators applied in the Region of Murcia in theframework of DESERNET are:

– State of salinization (four pilot areas).

– Rate of salinization (four pilot areas).

− State of alcalinization (Vega Media).

– Rate of alcalinization (Vega Media).

− Loss of fertility: loss of micronutrient metals Fe, Cu, Mn andZn (Vega Media).

− Risk of phytotoxicity: Increase of plant-available Pb and Cd(Vega Media).

Page 27: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

CONCLUSIONS

The methodology for the monitorization of the desertification(chemical degradation of the soil) is the following:

MONITORED AREA

ENVIRONMENTAL STUDY

PERIODIC SOIL SAMPLING

LAND USES

DATA BASE

INDEX

GIS

SPATIO-TEMPORAL INFORMATION

PROPOSAL OF ACTIONS

Page 28: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

CONCLUSIONS

The Region of Murcia is highly interested in pursuingthe active participation and exchange of experiences, data and information to control the desertificationprocess.

DESERNET is considered essential to collect, processand spread environmental information in theMediterranean Basin.

Page 29: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

SPECIFIC PROPOSALS FOR THE REGION OF MURCIA

– To continue the surveillance and control of desertification usingthe methodology developed in the DESERNET-Murcia action.

– To extend the surveillance process until the local scale forthose cases for which high salinization/alcalinization valueshave been found.

– To extend the surveillance process until the local scale forthose cases for which a loss for those micronutrient metals oran increase in assimilable heavy metals have been found.

– To carry out a programme in order the different social agentsbecome aware of the importance of the desertification processand the need of joint efforts to confront it.

Page 30: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Thank you for your attention

Page 31: Región de Murcia€¦ · 14% 3% GRUPO 1 GRUPO 2 GRUPO 3 GRUPO 4 Mineralogical composition. Total of Samples = 205. DATA BASE pH distribution map EC distribution map SAR distribution

Grupo de Investigación E48-08. CONTAMINACIÓN DE SUELOSUniversidad de Murcia

http://www.um.es/csoils