Data Package Metadata   View Summary

STREAMS Project: Emergent landscape patterns in stream ecosystem processes resulting from groundwater/surface water interactions

General Information
Data Package:
Local Identifier:knb-lter-luq.153.537846
Title:STREAMS Project: Emergent landscape patterns in stream ecosystem processes resulting from groundwater/surface water interactions
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This Data Set is hosted by the Luquillo LTER Program (LUQ) and owned by a LUQ's investigator.
Our primary objective is to understand the linkage between surface-subsurface water interactions and ecosystem processes in neotropical lowland streams over an extended time frame (>25 yrs). Proposed research will occur at La Selva Biological Reserve in Costa Rica, which is owned and operated by the Organization for Tropical Studies
In tectonically active regions of Central America, it is common for solute-rich groundwater to emerge at gradient breaks within the complex volcanic topography of mountains and foothills which intergrade with the coastal plain. These groundwaters can significantly influence solute chemistry and related ecological and ecosystem-level processes in receiving surface waters. Many solute-rich groundwaters are associated with underlying volcanic activity which has altered the chemistry of receiving streams throughout Central America. Geothermally-modified groundwaters, surfacing at the gradient break between the Central Mountain range and the coastal plain at La Selva Biological Station, have high levels of P (up to 400 mg SRP L-1) and other solutes (Ca, Cl, Mg, SO4) but are not elevated in temperature. Spatial patterns in stream solute chemistry are determined by geomorphic features of the volcanic landscape that include: upland lavas drained by P-poor streams; a gradient break (~50 m.a.s.l.), at or near where P-rich springs emerge; and lowland alluvial areas drained by streams that are both P-rich and P-poor depending on whether they receive the input of solute-rich springs.
Our project is the first to determine long-term effects of nutrient enrichment in a detrital-based stream within the wet tropics. We will continue to build upon our ‘long-term' (1988-present) data set on stream solute chemistry, which is the only one that we are aware of for lowland primary rainforest of Central America. The proposed project will build on 18 years of past research which has shown that landscape patterns in stream solute chemistry (resulting from variation in solute-rich groundwater inputs) reflect ecosystem processes such as rates of primary production and decomposition of organic material. Specifically, we are: (1) continuing our evaluation of long-term trends in the solute chemistry of these lowland tropical streams as related to large scale climatic phenomena (e.g., El Nino Southern Oscillation Events); (2) examining how stream segments draining three major geomorphic subfeatures of the lowland tropical landscape respond to temporal (wet versus dry season) changes in precipitation; (3) examining stoichiometric mechanisms behind elevated levels of insect growth and biomass turnover rates in phosphorus-rich streams; and finally (4) concluding (and build upon) an ongoing long-term whole-stream phosphorus enrichment by determining the storage, fate and transport of the artificially-introduced phosphorus (that has been injected over an 8 year period) and examining related effects on detrital foodwebs.
Stream solute chemistry and ecosystem process-oriented data are of fundamental importance to our understanding and management of tropical forests and in predicting effects of regional (and potentially global) environmental change on these threatened ecosystems. Our long-term program will provide new insights into how large scale climatic phenomena interact with subsurface hydrologic factors and geothermal activity to influence stream solute chemistry and related ecosystem processes. We will continue to link the data sets generated from our LTREB Project to those from other long term sites for both tropical (e.g., Luquillo LTER site in Puerto Rico) and temperate research (Coweeta LTER site in North Carolina USA). Finally, the project will contribute to our ongoing environmental outreach program Water for Life, which includes local outreach in communities near La Selva Biological Station and an internationally accessible web page equipped with teaching tools on river conservation and water quality and quantity issues at the high school- level in both Spanish and English.

Publication Date:2010-03-22
Language:English

Time Period
Begin:
1988-05-19
End:
2015-01-07

People and Organizations
Contact:Pringle, Catherine  [  email ]
Contact:Ramirez, Alonso (University of Puerto Rico, Rio Piedras Campus) [  email ]
Creator:Pringle, Catherine 
Associate:Melendez-Colom, Eda (University of Puerto Rico, Rio Piedras Campus, data manager)

Data Entities
Data Table Name:
Stream names
Description:
Stream name + a location code
Data Table Name:
Stream water nutrients
Description:
Stream water nutrients
Data Table Name:
Stream water physicochemistry
Description:
Stream water physicochemistry
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-luq/153/537846/1bb211f4002584c51c22c2ef9851db5b
Name:Stream names
Description:Stream name + a location code
Number of Records:21
Number of Columns:3

Time Period
Date:
1988-05-19

Table Structure
Object Name:StreamNames.csv
Size:435
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 Stream nameSite identification numberStream name
Column Name:streamname  
Site_ID  
Site_Name  
Definition:The name of the stream siteNumber assigned to the sampling site in databaseStream name + a location code.
Storage Type:string  
string  
string  
Measurement Type:nominalnominalnominal
Measurement Values Domain:
DefinitionThe name of the stream site
DefinitionNumber assigned to the sampling site in database
DefinitionStream name + a location code.
Missing Value Code:      
Accuracy Report:      
Accuracy Assessment:      
Coverage:      
Methods:      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-luq/153/537846/771c749e1e79226ee2b70d24a7c0fb54
Name:Stream water nutrients
Description:Stream water nutrients
Number of Records:3705
Number of Columns:12

Time Period
Begin:
1988-05-19
End:
2013-03-06

Table Structure
Object Name:nutrients.csv
Size:468879
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 Site identification numberDate of collectionSoluble Reactive Phosphorus of first sampleSoluble Reactive Phosphorus of second sampleAmmonium concentration of first sampleAmmonium concentration of second sampleNitrate concentration of first sampleNitrate concentration of second sampleName of collectorPerson who analyzed the sampleMethod usedNotes on sample or measurment
Column Name:Site_ID  
Date  
SRPa  
SRPb  
NH4a  
NH4b  
NO3a  
NO3b  
COLLECTOR  
Analyzed by  
METHOD  
COMMENTS  
Definition:Number assigned to the sampling site in databaseDate of collection of sample (in mm/dd/yyyy)Concentration of SRP in the water of first sample; a and b indicates that some sampling dates two bottles were collected for that nutrientConcentration of SRP in the water of second sample; a and b indicates that some sampling dates two bottles were collected for that nutrientConcentration of NH4 in the water of first sample; a and b indicates that some sampling dates two bottles were collected for that nutrientConcentration of NH4 in the water of second sample; a and b indicates that some sampling dates two bottles were collected for that nutrientConcentration of NO3 in the water of first sample; a and b indicates that some sampling dates two bottles were collected for that nutrientConcentration of NO3 in the water of second sample; a and b indicates that some sampling dates two bottles were collected for that nutrientName of person that collected the sample Name of person that collected the sampleName of person who analyzed the sampleMethod used in analyzing the sample Method used in analyzing the sampleAny additional information about the sample or measurement.
Storage Type:string  
date  
            string  
string  
string  
string  
Measurement Type:nominaldateTimeratioratioratioratioratiorationominalnominalnominalnominal
Measurement Values Domain:
DefinitionNumber assigned to the sampling site in database
Formatmm/dd/yyyy
Precision
UnitmicrogramsPerLiter
Precision1
Typereal
UnitmicrogramsPerLiter
Precision1
Typereal
UnitmicrogramsPerLiter
Precision0.01
Typereal
UnitmicrogramsPerLiter
Precision0.1
Typereal
UnitmicrogramsPerLiter
Precision0.00001
Typereal
UnitmicrogramsPerLiter
Precision0.1
Typereal
DefinitionName of person that collected the sample Name of person that collected the sample
DefinitionName of person who analyzed the sample
DefinitionMethod used in analyzing the sample Method used in analyzing the sample
DefinitionAny additional information about the sample or measurement.
Missing Value Code:    
Codeblank cell
ExplMissing Value
CodeBLANK
ExplMissing Value
Codeblank cell
ExplMissing Value
Codeblank cell
ExplMissing Value
CodeBLANK
ExplMissing Value
CodeBLANK
ExplMissing Value
       
Accuracy Report:                        
Accuracy Assessment:                        
Coverage:                        
Methods:                        

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-luq/153/537846/7ff07f9fa6ded51fc00edc4f447b8a4a
Name:Stream water physicochemistry
Description:Stream water physicochemistry
Number of Records:3567
Number of Columns:10

Time Period
Begin:
1988-05-19
End:
2015-01-07

Table Structure
Object Name:physicochemistry.csv
Size:178841
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,

Table Column Descriptions
 Site identification numberDate of collectionWater pHWater ConductivityDischarge measured manuallyWater temperatureGage heightDischarge based on stream levelName of collectorNotes on sample or measurment
Column Name:Site_ID  
Date  
pH  
CONDUCTIVITY  
DISCHARGE_MEASURED  
TEMPERATURE  
Gage_Ht  
DISCHARGE_CALCULATED  
COLLECTOR  
COMMENTS  
Definition:Number assigned to the sampling site in databaseDate of collection of sample (in mm/dd/yyyy)Average water pHWater ConductivityDischarge measured manuallyWater temperatureGage Height at sampling time (in meters)Discharge based on stream levelName of person that collected the sample Name of person that collected the sampleAny additional information about the sample or measurement.
Storage Type:string  
date  
            string  
string  
Measurement Type:nominaldateTimeratioratioratioratioratiorationominalnominal
Measurement Values Domain:
DefinitionNumber assigned to the sampling site in database
Formatmm/dd/yyyy
Precision
Unitdimensionless
Typereal
Unitmicrosimmens
Typereal
UnitcubicMetersPerSecond
Typereal
Unitcelsius
Typereal
Unitmeter
Typereal
UnitcubicMetersPerSecond
Typereal
DefinitionName of person that collected the sample Name of person that collected the sample
DefinitionAny additional information about the sample or measurement.
Missing Value Code:    
CodeBLANK
ExplMissing Value
CodeBLANK
ExplMissing Value
CodeBLANK
ExplMissing Value
CodeBLANK
ExplMissing Value
Code-9999.00
ExplMissing Value
CodeBLANK
ExplMissing Value
CodeBLANK
ExplMissing Value
   
Accuracy Report:                    
Accuracy Assessment:                    
Coverage:                    
Methods:                    

Data Package Usage Rights

Data Policies

LTER Network Data Access Policy, Data Access Requirements, and General Data Use Agreement
approved by the LTER Coordinating Committee April 6, 2005

Long Term Ecological Research Network Data Access Policy

The LTER data policy includes three specific sections designed to express shared network policies regarding the release of LTER data products, user registration for accessing data, and the licensing agreements specifying the conditions for data use.

LTER Network Data Release Policy

Data and information derived from publicly funded research in the U.S. LTER Network, totally or partially from LTER funds from NSF, Institutional Cost-Share, or Partner Agency or Institution where a formal memorandum of understanding with LTER has been established, are made available online with as few restrictions as possible, on a nondiscriminatory basis. LTER Network scientists should make every effort to release data in a timely fashion and with attention to accurate and complete metadata.

Data[current-user:created]

There are two data types:

Type I – data are to be released to the general public according to the terms of the general data use agreement (see Section 3 below) within 2 years from collection and no later than the publication of the main findings from the dataset and,

Type II - data are to be released to restricted audiences according to terms specified by the owners of the data. Type II data are considered to be exceptional and should be rare in occurrence. The justification for exceptions must be well documented and approved by the lead PI and Site Data Manager. Some examples of Type II data restrictions may include: locations of rare or endangered species, data that are covered under prior licensing or copyright (e.g., SPOT satellite data), or covered by the Human Subjects Act. Researchers that make use of Type II Data may be subject to additional restrictions to protect any applicable commercial or confidentiality interests.

While the spirit of this document is to promote maximum availability for ecological data in either Type I or II status, there are criteria by which priority for data release may be determined. Primary observations collected for core research activities directly supported by LTER research must receive the highest priority for data release. Data collected by other sources to which LTER supported research has added value is also a high priority Other types of data including non-LTER data that was acquired for LTER research, student thesis data, schoolyard LTER data, or legacy data that already suffer from inadequate documentation or format obsolescence may be ranked a lower priority by a site with justifications provided in their data management policy. Finally, some data may be determined of lowest priority for archiving on the grounds that they are interim data that led to final products that carry the scientific value. These might include data files created during stages within an analytic workflow, raw or replicate data values that were subsequently aggregated or processed for release, or individual outputs from stochastic models.

Metadata

Metadata documenting archived/online data sets of all types listed above will be made available when, or before, the dataset itself is released according to the terms above.
All metadata will be publicly available regardless of any restrictions on access to the data.
All metadata will follow LTER recommended standards and will minimally contain adequate information on proper citation, access, contact information, and discovery. Complete information including methods, structure, semantics, and quality control/assurance is expected for most datasets and is strongly encouraged.
LTER Network Data Access Requirements

The access to all LTER data is subject to requirements set forth by this policy document to enable data providers to track usage, evaluate its impact in the community, and confirm users' acceptance of the terms of acceptable use. These requirements are standardized across the LTER Network to provide contractual exchange of data between Site Data Providers, Network Data Providers, and Data Users that can be encoded into electronic form and exchanged between computers. This will allow direct access to data via a common portal once these requirements have been fulfilled. The following information may be required directly or by proxy prior to the transference of any data object:

Registration

1. Name

2. Affiliation

3. Email Address

4. Full Contact Information

Acceptance of the General Public Use Agreement or Restricted Data Use Agreement, as applicable.
A Statement of Intended Use that is compliant with the above agreements. Such statements may be made submitted explicitly or made implicitly via the data access portal interface.

General Data Use Agreement

LUQ  data and metadata is released under public domain:  CC BY – Attribution.

Conditions of Use

The consumer of these data (“Data User” herein) has an ethical obligation 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 coauthorship 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.
Disclaimer

While substantial efforts are made to ensure the accuracy of data and documentation contained in this Data Set, complete accuracy of data and metadata cannot be guaranteed. All data and metadata are made available "as is". The Data User holds all parties involved in the production or distribution of the Data Set harmless for damages resulting from its use or interpretation.[current-user:name]

Keywords

By Thesaurus:
Core Areasdisturbance, populations, primary production

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:

Provided under individual variable descriptions. Chip Small (PhD) - Chip Small's research focuses on integrating food web ecology and biogeochemistry using ecological stoichiometry as a conceptual framework. We have measured the phosphorus content of consumers and basal food resources (algae, leaf litter) in streams ranging widely in dissolved phosphorus. The results show the first evidence of an entire invertebrate consumer assemblage showing deviation from strict homeostasis (i.e. the insects have 2x more P in the high-P streams, where they feed on resources 6x higher in P-content). To understand the physiological implications of feeding on P-enriched food resources, we are measuring how food quality effects the growth rates and RNA content of larval chironomids, a dominant benthic consumer. To understand how the effects of P-enriched invertebrates and basal resources move through the food web, we measured nutrient excretion rates of fishes in high-P and low-P streams, to understand how fish diet, fish nutrient demand, and the degree of P-enrichment in the fish diet combines to control the rate of P-recycling by these consumers. We are also testing the hypothesis that more P is exported to the terrestrial food web in high-P streams through insect emergence. Marcia Snyder (PhD) - Tropical migratory shrimp populations are well suited to be used as environmental sensors to indicate ecological health of aquatic systems. Marcia Snyder’s dissertation proposes to use field surveys and experiments to: (1) determine if freshwater shrimp populations in relatively pristine upstream forested reaches in the Caribbean lowlands of Costa Rica have changed from historic levels in terms of abundance, size and/or species richness; (2) determine if freshwater shrimp populations, across elevational, discharge, and solute-richness gradients exhibit differences in terms of abundance, species richness, size or fecundity; and (3) use ecological stoichiometry theory to refine shrimps role in the stream food web and (4) determine if shrimp populations directly influenced by agrochemicals exhibit differences in terms of abundance, species richness, size or fecundity from streams in protected old-growth forest. This study will refine our understanding of how macrobenthic consumers respond to anthropogenic alterations of watersheds by monitoring long-term population level changes that could occur through direct or indirect mechanisms and measuring current shrimp abundances across an anthropogenic gradient of water quality. Additionally, this study could fill a much needed gap in our knowledge of how pesticides influence the integrity of neotropical aquatic ecosystems, increase our knowledge as to how native freshwater shrimp respond in situ to chronic exposure to nutrient pulses, a range of pesticides, and a natural pH gradient.

People and Organizations

Creators:
Individual: Catherine Pringle
Address:
University of Georgia Odum School of Ecology 308 Biological Sciences Building,
Athens, GA 30602 US
Phone:
(706) 542-4289 (voice)
Phone:
(706) 542-3344 (facsimile)
Email Address:
cpringle@uga.edu
Web Address:
http://pringle-lab.org/
Contacts:
Individual: Catherine Pringle
Address:
University of Georgia Odum School of Ecology 308 Biological Sciences Building,
Athens, GA 30602 US
Phone:
(706) 542-4289 (voice)
Phone:
(706) 542-3344 (facsimile)
Email Address:
cpringle@uga.edu
Web Address:
http://pringle-lab.org/
Individual: Alonso Ramirez
Organization:University of Puerto Rico, Rio Piedras Campus
Address:
North Carolina State University,
Raleigh, NC 27695 US
Email Address:
aramirez@ramirezlab.net
Web Address:
https://twitter.com/AlonsoRamirezU
Associated Parties:
Individual: Eda Melendez-Colom
Organization:University of Puerto Rico, Rio Piedras Campus
Address:
University of Puerto Rico at Rio Piedras, Ponce de Leon Ave.,
San Juan, PR 00931 US
Phone:
(787) 764-0000 (voice)
Email Address:
edacorreo@yahoo.com
Role:data manager

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
1988-05-19
End:
2015-01-07
Sampling Site: 
Description:The STREAMS project is located at La Selva Biological Station, on the Caribbean slope of Costa Rica and protects 1536-ha of lowland tropical wet forest. La Selva Biological Station is located 3 km South of Puerto Viejo de Sarapiquí Puerto Viejo de Sarapiqui, Costa Rica.
Site Coordinates:
Longitude (degree): -84.0098Latitude (degree): 10.4297
Altitude (meter):62

Temporal, Geographic and/or Taxonomic information that applies to Data Table: Stream names


Time Period
Date:
1988-05-19

Temporal, Geographic and/or Taxonomic information that applies to Data Table: Stream water nutrients


Time Period
Begin:
1988-05-19
End:
2013-03-06

Temporal, Geographic and/or Taxonomic information that applies to Data Table: Stream water physicochemistry


Time Period
Begin:
1988-05-19
End:
2015-01-07

Project

Other Metadata

Additional Metadata

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