Data Package Metadata View Summary

Water quality and watershed attributes of 41 Pampean streams in Argentina, 12 years later (2003-2015).

General Information

Data Package:

Local Identifier:

edi.1244.2

Title:

Water quality and watershed attributes of 41 Pampean streams in Argentina, 12 years later (2003-2015).

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

This database consists of water chemistry (pH, conductivity, dissolved oxygen, nutrients, and carbonates) and catchment attributes for 41 streams of Buenos Aires province, Argentina. Water quality was measured in 2003/4 and 12 years later (2015/16). Sampling were made in May (autumn), November (spring), and February (summer) at baseflow condition.

Some physico-chemical parameters were measured in situ. Parameters determined at laboratory were nutrients and salts. And catchment attributes were determined (physiographic parameters, land use, soil type and geology).

Publication Date:

2022-10-25

For more information:
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2003-11-01

End:

2004-05-31

Time Period

Begin:

2015-11-01

End:

2016-05-31

People and Organizations
Contact:	Hegoburu, Cecilia (Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)) [ email ]
Creator:	Hegoburu, Cecilia (Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu),)
Creator:	Feijoó, Claudia Silvina (Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu))
Creator:	Anselmo, Julieta Laura (0000-0002-0491-020X, Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu))
Creator:	Guerra López, José (Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu))
Creator:	Rigacci, Laura (Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu))
Creator:	Di Franco, Leonardo (Instituto del Conurbano, Universidad Nacional de General Sarmiento)
Associate:	Messetta, María Laura (Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu), field technician)

Data Entities
Data Table Name:	41 streams final
Description:	Water quality and basin attributes for 41 streams of Buenos Aires, Argentina that were sampled in 2003/4 and 2015/6

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/edi/1244/2/8e8dbf0689ab8d16a3584825ede61af9
Name:	41 streams final
Description:	Water quality and basin attributes for 41 streams of Buenos Aires, Argentina that were sampled in 2003/4 and 2015/6
Number of Records:	123
Number of Columns:	47

Table Structure

Object Name:

41 streams final.csv

Size:

28508 byte

Authentication:

7a2af4fe0df808cc6611c150aed34c7c Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	;
Quote Character:	"

Table Column Descriptions

Date sampling

Fluvial region

Code stream

latitude

longitude

water velocity (m/s) (2003)

water velocity (m/s) (2015)

pH (2003)

pH (2015)

conductivity (uS/cm) (2003)

conductivity (uS/cm) (2015)

Dissolved oxygen (mg/L) (2003)

Dissolved oxygen (mg/L) (2015)

soluble reactive phosphorus (mg/L) (2003)

soluble reactive phosphorus (mg/L) (2015)

ammonium (ug/L) (2003)

ammonium (ug/L) (2015)

nitrate (mg/L) (2003)

nitrate (mg/L) (2015)

nitrite (mg/L) (2003)

nitrite (mg/L) (2015)

carbonate (meq/L) (2003)

carbonate (meq/L) (2015)

Bicarbonate (meq/L) (2003)

bicarbonate (meq/L) (2015)

chloride (mg/L) (2003)

chloride (mg/L) (2015)

catchment area (km2)

# stream order

mean slope (%)

stream length (km)

drainage density (km-1)

cropland (%) 2000/01

cropland (%) 2010/11

cattle breeding (%) 2000/01

cattle breeding (%) 2010/11

natural vegetation (%) 2000/01

natural vegetation (%) 2010/11

others (%) 2000/01

others (%) 2010/11

Mollisols (%)

Alfisols (%)

Vertisols (%)

Others (%)

Geology: Peri-mountain gravel, sand and silt deposits, piedmont levels (%)

Buenos Aires Formation (%)

others geologies (%)

Column Name:

Date sampling

Region

Code stream

lat

long

veloc (m/s) (2003)

veloc (m/s) (2015)

pH (2003)

pH (2015)

cond (uS/cm) (2003)

cond (uS/cm) (2015)

DO (mg/L) (2003)

DO (mg/L) (2015)

SRP (mg/L) (2003)

SRP (mg/L) (2015)

NH4 (ug/L) (2003)

NH4 (ug/L) (2015)

NO3 (mg/L) (2003)

NO3 (mg/L) (2015)

NO2 (mg/L) (2003)

NO2 (mg/L) (2015)

CO3 (meq/L) (2003)

CO3 (meq/L) (2015)

CO3H (meq/L) (2003)

CO3H (meq/L) (2015)

Cl (mg/L) (2003)

Cl (mg/L) (2015)

catchment area (km2)

# stream order

mean slope (%)

stream length (km)

drainage density (km-1)

cropland (%) 2000/01

cropland (%) 2010/11

cattle breeding (%) 2000/01

cattle breeding (%) 2010/11

natural vegetation (%) 2000/01

natural vegetation (%) 2010/11

others land uses (%) 2000/01

others land uses (%) 2010/11

Mollisols (%)

Alfisols (%)

Vertisols (%)

others soil types (%)

G2 (%)

Buenos Aires Formation (%)

others geologies(%)

Definition:

Month in which the stream was sampled. Each month represent a season: May (autumn), November (spring), and February (summer)

River regions of the province of Buenos Aires (Frenguelli 1956) to which the sampled streams belong

unique code assigned to the stream

Geographic coordinate (latitude)

Geographic coordinate (longitude)

Water velocity measured in 2003/4

Water velocity measured in 2015/6

pH measured in the stream in 2003/4

pH measured in the stream in 2015/6

conductivity measured in 2003/4

conductivity measured in 2015/6

Dissolved oxygen measured in water in 2003/4

Dissolved oxygen measured in water in 2015/16

soluble reactive phosphorus measured in 2003/4

soluble reactive phosphorus measured in 2015/6

Ammonium concentration measured in 2003/04

Ammonium concentration measured in 2015/16

Nitrate concentration measured in 2003/04

Nitrate concentration measured in 2015/16

Nitrite concentration measured in 2003/04

Nitrite concentration measured in 2015/16

Carbonate concentration measured in 2003/04

Carbonate concentration measured in 2015/16

Bicarbonate concentration measured in 2003/04

Bicarbonate concentration measured in 2015/16

chloride concentration measured in 2003/04

chloride concentration measured in 2015/16

Catchment area defined by the sampling point

Stream orden according to Strahler method

Average slope of the entire basin

path of the longest watercourse

It is a measurement of the sum of the channel lengths per unit area.

agricultural land use percentage cover in 2000/01

agricultural land use percentage cover in 2010/11

cattle breeding land use percentage cover in 2000/01

cattle breeding land use percentage cover in 2010/11

Natural vegetation (grasslands) land use percentage cover in 2000/01

Natural vegetation (grasslands) land use percentage cover in 2010/11

Other land uses percentage cover in 2000/01 which included urban land (small villages), forest, bare land, mining and ponds

Other land uses percentage cover in 2010/11 which included urban land (small villages), forest, bare land, mining and ponds

percentage of coverage in the basin of the Mollisols soil type

percentage of coverage in the basin of the Alfisols soil type

percentage of coverage in the basin of the Vertisols soil type

percentage of coverage in the basin of soil types that not include Mollisols, Alfisols and Vertisols

percentage of coverage in the basin of the geological class: Peri-mountain gravel, sand and silt deposits, piedmont levels

percentage of coverage in the basin of the geological class: Buenos Aires Formation (continental): loessoid silts, relatively clayey, homogeneous, without stratification with concretional calcareous nodules, epigenic

percentage of coverage in the basin of the minority geological classes

Storage Type:

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

Month in which the stream was sampled. Each month represent a season: May (autumn), November (spring), and February (summer)

Definition

River regions of the province of Buenos Aires (Frenguelli 1956) to which the sampled streams belong

Definition

unique code assigned to the stream

Unit	decimal degree in the WGS-84 datum
Type	real

Unit	decimal degree in the WGS-84 datum
Type	real

Unit	meterPerSecond
Type	real

Unit	meterPerSecond
Type	real

Unit	number
Type	real
Min	1
Max	14

Unit	number
Type	real
Min	1
Max	14

Unit	microsiemensPerCentimeter
Type	real

Unit	microsiemensPerCentimeter
Type	real

Unit	milligramPerLiter
Type	real

Unit	microgramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	microgramPerLiter
Type	real

Unit	microgramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	milliequivalentPerLiter
Type	real

Unit	milliequivalentPerLiter
Type	real

Unit	milliequivalentPerLiter
Type	real

Unit	milliequivalentPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	milligramPerLiter
Type	real

Unit	kilometerSquared
Type	real

Unit	number
Type	real

Unit	percent
Type	real

Unit	kilometer
Type	real

Unit	numberPerKilometer
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Unit	percent
Type	real

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabulary	water quality, streams, basins, chemistry
(No thesaurus)	Pampean, Buenos Aires, Argentina

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package

Description:

41 streams were sampled in Buenos Aires province (Argentina) between 2015 and 2016. These streams were previously sampled between 2003 and 2004 to determine baseline water quality for Pampean fluvial ecosystems. Our sampling covered streams for the four fluvial regions proposed by Frenguelli (1956):

Region 1: Salado river and their tributaries.

Region 2: Vallimanca stream.

Region 3: Tributaries of the Paraná and Río de la Plata rivers.

Region 4: Tributaries of the Atlantic Ocean.

We measured water velocity with a multiprobe anemometer (Schiltknecht MiniAir20), and these data were then used to determine stream discharge by the velocity-area method (Gordon et al., 1992). We recorded temperature, pH, conductivity, and dissolved oxygen (DO) concentration with a Hach multiprobe (HQ40D). We gathered 2 water samples in 250-mL acid-washed polyethylene bottles at each stream. One sample was filtered through Whatman GF/C filters in the field and it was immediately preserved with 0.1% chloroform (Gardolinski et al., 2001) to determine nutrient concentration in water. The other water sample was not filtered and was then used to estimate alkalinity and chloride concentration.

Samples were stored in an ice chest and transported to the laboratory. We estimated alkalinity within 12 h after collection. Nutrient samples were preserved at 4°C and analyzed within one week from the sampling following the methods of APHA (2005). We determined soluble reactive phosphorus (SRP) by the ascorbic acid method, and ammonium by the indophenol blue method. Nitrate and nitrite concentrations were measured with a FUTURA Autoanalyzer (Alliance Instruments, Frepillon, France) through a reaction with sulfanilamide with a previous Cu-Cd-reduction for nitrates. In the unfiltered sample, we determine chloride concentration by the argentometric method and phenolphthalein alkalinity (carbonates and bicarbonates) (APHA, 2005).

Catchment area was estimated upwards the sampling point in each one of the 41 streams. We delimited catchment boundaries by ArcMap 10.3 (ArcGIS® by Esri) software from digital elevation models (DEM). DEM were extracted from the Shuttle Radar Topography Mission (SRTM) data available in Global Land Cover Facility (GLCF; www.landcover.org).

Physiographic parameters (catchment area, mean slope, stream length, drainage density and stream order) were determined using different ArcMap tools based on the generated DEMs, watershed boundaries, and the corresponding drainage network derived from them.

Land cover was determined using TM Landsat 5 images (available at the National Institute for Space Research site of Brazil) obtained between December 2000 and November 2001 and between December 2010 and November 2011. Landsat images were projected to the Transverse Mercator reference system and then georeferenced to the SRTM images using ArcMap 10.3 software. Images were geometrically corrected applying the nearest neighbour method (mean square error for the transformation <2 pixels; Chuvieco, 1996).

Land use was classified in Landsat images with the ArcView GIS 3.2 software considering several visual criteria (color, size, form, texture, etc.), temporal cover variation between images and complementary information from Google Earth. Polygons from the same land cover type were digitized manually on the screen. We considered the following land use classes: cropland, cattle breeding, natural vegetation (grassland), and other covers, which included urban land (small villages), forest, bare land, mining and ponds. We calculated the percentage of each land use upstream of the sampling point. Land use classification was verified by visiting some of the studied catchments.

Soil type was determined at the soil order level giving that the soil taxonomy charts of the National Institute of Agricultural Technology (INTA; Argentina) were only available from July 2015. Charts were used at different scales (1:50.000 and 1:500.000) according to the availability per basin and were projected and georeferenced following the same procedure than for Landsat images. The percentage for each soil type (Alfisols, Entisols, Mollisols and Vertisols; Soil Taxonomy, 1975) was calculated for each watershed.

Geology of each basin was determined from the 1999 Geological and Mining Map of the Province of Buenos Aires (Argentine Geological Mining Service - SEGEMAR) at a scale of 1:750.000. The geological categories present in each basin were digitized manually according to the map references and the percentage of area they occupy was calculated.

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@edirepository.org

Web Address:

https://edirepository.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Cecilia Hegoburu

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu),

Email Address:

chegoburu@gmail.com

Id:

https://orcid.org/0000-0002-7318-8484

Individual:

Claudia Silvina Feijoó

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

clasife@yahoo.com.ar

Individual:

Julieta Laura Anselmo

Organization:

0000-0002-0491-020X

Position:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

anselmojulieta@gmail.com

Id:

https://orcid.org/0000-0002-0491-020X

Individual:

José Guerra López

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

joseguerralopez1@gmail.com

Individual:

Laura Rigacci

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

larigacci@yahoo.com.ar

Individual:

Leonardo Di Franco

Organization:

Instituto del Conurbano, Universidad Nacional de General Sarmiento

Email Address:

ldifranco@ungs.edu.ar

Contacts:

Individual:

Cecilia Hegoburu

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Address:

Ruta 5 y 7,

Luján, Buenos Aires 6700 Argentina

Email Address:

chegoburu@gmail.com

Id:

https://orcid.org/0000-0002-7318-8484

Associated Parties:

Individual:

María Laura Messetta

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

mlmessetta@yahoo.com.ar

Role:

field technician

Metadata Providers:

Individual:

Claudia Silvina Feijoó

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Address:

Luján, Buenos Aires 6700 Argentina

Email Address:

clasife@yahoo.com.ar

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period

Begin:

2003-11-01

End:

2004-05-31

Time Period

Begin:

2015-11-01

End:

2016-05-31

Geographic Region:

Description:

The 41 streams sampled are localizated across the Buenos Aires province, Argentina.They belongs to the four fluvial regions proposed by Frenguelli (1956): Region 1: Salado river and their tributaries. Region 2: Vallimanca stream. Region 3: Tributaries of the Paraná and Río de la Plata rivers. Region 4: Tributaries of the Atlantic Ocean.

Bounding Coordinates:

Northern:	-33.339602	Southern:	-38.9852
Western:	-63.379175	Eastern:	-56.675187

Project

Parent Project Information:

Title:

Water quality and aquatic plant communities in Pampas streams: 12 years later

Personnel:

Individual:

Claudia Silvina Feijoó

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

clasife@yahoo.com.ar

Role:

Director

Individual:

José Guerra López

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

joseguerralopez1@gmail.com

Role:

Co-director

Individual:

Rafael Marcé Romero

Organization:

Catalan Institute for Water Research

Email Address:

rmarce@icra.cat

Role:

External Researcher

Individual:

Alicia Gómez Vázquez

Organization:

Universidad Nacional de Luján

Email Address:

crisalqui@gmail.com

Role:

Technician

Individual:

María Laura Messetta

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Email Address:

mlmessetta@yahoo.com.ar

Role:

Researcher

Individual:

Cecilia Hegoburu

Organization:

Instituto de Ecología y Desarrollo Sustentable (INEDES; CONICET-UNLu)

Address:

Luján, Buenos Aires 6700 Argentina

Email Address:

chegoburu@gmail.com

Id:

https://orcid.org/0000-0002-7318-8484

Role:

Researcher

Abstract:

Several studies have shown the great influence exerted by land use (especially agricultural and urban) on the structure and functioning of river ecosystems. In the Pampas region it has been produced for some years an intensification of agricultural practices, but it is unknown what is the impact that can cause in rivers and streams. This study will analyze the impact of changes produced in agricultural practices on water quality and the community of macrophytes in 41 streams in the province of Buenos Aires. To do this, repeat a sampling carried out in 2003-2004 where the quality of the water and the structure of the macrophytic community in these streams. The land use will also be determined in the basins for the periods 2000-2001 and 2010-2011. The data from both samples is compared to determine if there are variations in the chemical indicators and biological, and if these variations can be attributed to changes in land use. Based on the results obtained, it is expected to be able to make management recommendations that favor the maintenance of the quality of the water and the biological integrity of the pampa streams.

Additional Award Information:

Funder:	Agencia Nacional de Promoción Científica y Tecnológica and Universidad Nacional de Luján
Number:	FONCYT, PICT 0163-2011
Title:	Fondo para la Investigación Científica y Tecnológica (FONCYT, PICT 0163-2011) and Finalidad 3.5

Maintenance

Maintenance:

Description:

Dataset is completed for samplings made in 2003/4 and 2015/16.

In case of performing a new sampling, the dataset could be updated.

Frequency:

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'decimal degree in the WGS-84 datum'
        |     |     |     |  \___attribute 'name' = 'decimal degree in the WGS-84 datum'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Projected Coordinate System: WGS_1984_UTM_Zone_21S\t\nProjection: Transverse_Mercator\t\n'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'microsiemensPerCentimeter'
        |     |     |     |  \___attribute 'name' = 'microsiemensPerCentimeter'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'numberPerKilometer'
        |     |     |     |  \___attribute 'name' = 'numberPerKilometer'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'km-1'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2022.10.07'
        |     |___text '\n    '
        |___text '\n  '

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

Data Package Metadata View Summary

Water quality and watershed attributes of 41 Pampean streams in Argentina, 12 years later (2003-2015).

Data Entities

Data Table

Data Package Usage Rights

Keywords

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Parent Project Information:

Maintenance

Additional Metadata

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

Water quality and watershed attributes of 41 Pampean streams in Argentina, 12 years later (2003-2015).

+/- Data Entities

Data Table

+/- Data Package Usage Rights

+/- Keywords

+/- Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata

Additional Metadata