Data Package Metadata   View Summary

WSC - The Influence of Legacy P on Lake Water Quality

General Information
Data Package:
Local Identifier:knb-lter-ntl.384.1
Title:WSC - The Influence of Legacy P on Lake Water Quality
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Using a suite of numerical models, we investigated the influence of legacy P on water quality in the Yahara Watershed of southern Wisconsin, USA. The suite included Agro-IBIS, a terrestrial ecosystem model; THMB, a hydrologic and nutrient routing model; and the Yahara Water Quality Model which estimates water quality indicators in the Yahara chain of lakes. Using five alternative scenarios of antecedent P storage (legacy P) in soils and channels under historical climate conditions, we simulated outcomes of P yield from the landscape, lake P loading, and three lake water quality indicators.

Publication Date:2020-02-24
Language:English

Time Period
Begin:
1987-06-30
End:
2013-09-07

People and Organizations
Contact:Carpenter, Stephen (University of Wisconsin) [  email ]
Contact:Kucharik, Christopher (University of Wisconsin) [  email ]
Creator:Motew, Melissa (University of Wisconsin)
Creator:Carpenter, Stephen (University of Wisconsin)
Creator:Kucharik, Christopher (University of Wisconsin)
Creator:Booth, Eric (University of Wisconsin)

Data Entities
Data Table Name:
Lake_P_experiment_Final_variedChannelP_2016-07-10
Description:
Model input direct drainage P load
Data Table Name:
WQfromSoilPExpts_VCP with Daphnia_2016-07-10
Description:
Model output with Daphnia
Data Table Name:
WQfromSoilPExpts_VCP without Daphnia_2016-07-10
Description:
Model output without Daphnia
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ntl/384/1/011fad0d7856dc2abb0bc6e4af63585c
Name:Lake_P_experiment_Final_variedChannelP_2016-07-10
Description:Model input direct drainage P load
Number of Records:27
Number of Columns:21

Table Structure
Object Name:Lake_P_experiment_Final_variedChannelP_2016-07-10.csv
Size:4009
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Table Column Descriptions
 yearMendota_Exp1Monona_Exp1Waubesa_Exp1Kegonsa_Expt1Mendota_Exp2Monona_Exp2Waubesa_Exp2Kegonsa_Exp2Mendota_Exp3Monona_Exp3Waubesa_Expt3Kegonsa_Exp3Mendota_Exp4Monona_Exp4Waubesa_Exp4Kegonsa_Exp4Mendota_Exp5Monona_Exp5Waubesa_Exp5Kegonsa_Exp5
Column Name:year  
Mendota_Exp1  
Monona_Exp1  
Waubesa_Exp1  
Kegonsa_Expt1  
Mendota_Exp2  
Monona_Exp2  
Waubesa_Exp2  
Kegonsa_Exp2  
Mendota_Exp3  
Monona_Exp3  
Waubesa_Expt3  
Kegonsa_Exp3  
Mendota_Exp4  
Monona_Exp4  
Waubesa_Exp4  
Kegonsa_Exp4  
Mendota_Exp5  
Monona_Exp5  
Waubesa_Exp5  
Kegonsa_Exp5  
Definition:year modeledMendota low P input experimentMonona low P input experimentWaubesa low P input experimentKegonsa low P input experimentMendota medium-low P input experimentMonona medium-low P input experimentWaubesa medium-low P input experimentKegonsa medium-low P input experimentMendota medium P input experimentMonona medium P input experimentWaubesa medium P input experimentKegonsa medium P input experimentMendota medium-high P input experimentMonona medium-high P input experimentWaubesa medium-high P input experimentKegonsa medium-high P input experimentMendota high P input experimentMonona high P input experimentWaubesa high P input experimentKegonsa high P input experiment
Storage Type:                                          
Measurement Type:ratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratioratio
Measurement Values Domain:
UnitnominalYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
Missing Value Code:                                          
Accuracy Report:                                          
Accuracy Assessment:                                          
Coverage:                                          
Methods:                                          

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ntl/384/1/bebd7cf2bb2e332e7d6a986ab8e4f9bb
Name:WQfromSoilPExpts_VCP with Daphnia_2016-07-10
Description:Model output with Daphnia
Number of Records:540
Number of Columns:11

Table Structure
Object Name:WQfromSoilPExpts_VCP_w_Daphnia_2016-07-10.csv
Size:48829
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Text Format:
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Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 recordIDLakeIDExptYearDDloadTotLoadTPChlSecchiHyperPexport
Column Name:recordID  
LakeID  
Expt  
Year  
DDload  
TotLoad  
TP  
Chl  
Secchi  
Hyper  
Pexport  
Definition:recordIDLakeIDExperimentYearDirect drainage loadTotal loadsummer total phosphorussummer chlorophyll a concentrationSecchi disk depthprobability of hypereutrophyP export from the lake per year
Storage Type:string  
string  
string  
               
Measurement Type:nominalnominalnominalratioratioratioratioratioratioratioratio
Measurement Values Domain:
DefinitionrecordID
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
DefinitionMendota
Source
Code Definition
Code2
DefinitionMonona
Source
Code Definition
Code3
DefinitionWaubesa
Source
Code Definition
Code4
DefinitionKegonsa
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
Definitionlow P
Source
Code Definition
Code2
Definitionmedium-low P
Source
Code Definition
Code3
Definitionmedium P
Source
Code Definition
Code4
Definitionmedium-high P
Source
Code Definition
Code5
Definitionhigh P
Source
UnitnominalYear
Typereal
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitmilligramsPerLiter
Typereal
UnitmicrogramsPerLiter
Typereal
Unitmeter
Typereal
Unitdimensionless
Typereal
UnitkilogramsPerYear
Typereal
Missing Value Code:                      
Accuracy Report:                      
Accuracy Assessment:                      
Coverage:                      
Methods:                      

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ntl/384/1/dcd3f7a2febe37bae557ce039ca48d19
Name:WQfromSoilPExpts_VCP without Daphnia_2016-07-10
Description:Model output without Daphnia
Number of Records:540
Number of Columns:11

Table Structure
Object Name:WQfromSoilPExpts_VCP_wo_Daphnia_2016-07-10.csv
Size:48825
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Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 recordIDLakeIDExptYearDDloadTotLoadTPChlSecchiHyperPexport
Column Name:recordID  
LakeID  
Expt  
Year  
DDload  
TotLoad  
TP  
Chl  
Secchi  
Hyper  
Pexport  
Definition:recordIDLakeIDExperimentYearDirect drainage loadTotal loadsummer total phosphorus concentrationsummer chlorophyll concentrationSecchi disk depthprobability of hypereutrophyP export from the lake per year
Storage Type:string  
string  
string  
string  
             
Measurement Type:nominalnominalnominalnominalratioratioratioratioratioratioratio
Measurement Values Domain:
DefinitionrecordID
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
DefinitionMendota
Source
Code Definition
Code2
DefinitionMonona
Source
Code Definition
Code3
DefinitionWaubesa
Source
Code Definition
Code4
DefinitionKegonsa
Source
DefinitionExperiment
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Code1
Definitionlow P
Source
Code Definition
Code2
Definitionmedium-low P
Source
Code Definition
Code3
Definitionmedium P
Source
Code Definition
Code4
Definitionmedium-high P
Source
Code Definition
Code5
Definitionhigh P
Source
UnitkilogramsPerYear
Typereal
UnitkilogramsPerYear
Typereal
UnitmilligramsPerLiter
Typereal
UnitmicrogramsPerLiter
Typereal
Unitmeter
Typereal
Unitdimensionless
Typereal
UnitkilogramsPerYear
Typereal
Missing Value Code:                      
Accuracy Report:                      
Accuracy Assessment:                      
Coverage:                      
Methods:                      

Data Package Usage Rights

Data Policies

This information is released to the public domain under the Creative Commons license CC-BY 4.0 (see: https://creativecommons.org/licenses/by/4.0/). It may be distributed, remixed, and built upon. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. The consumer of these data ("Data User" herein) 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:
NTL ThemesRelated Projects, Water Sustainability Climate, chemical (all), chemical limnology
Core AreasInorganic Nutrients
LTER Controlled Vocabularymodeling, phosphorus, pollution, watersheds

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:

We developed a watershed modeling framework that can simulate an array of ecosystem services, including land-to-lake flows of water, sediment, and nutrients, and surface water quality (Figure 1). The framework includes process-based representation of natural and managed ecosystems (Agro- IBIS), hydrologic routing of water, sediment, and nutrients through the surface hydrologic network (THMB), and prediction of Secchi disk depth (a measure of lake transparency), summertime lake total phosphorus (TP) concentration, and the probability of hypereutrophy in each lake (Yahara Water Quality Model).
for detailed description of modeling approach please see:
Motew, M., Chen, X., Booth, E.G. et al. The Influence of Legacy P on Lake Water Quality in a Midwestern Agricultural Watershed. Ecosystems 20, 1468–1482 (2017). https://doi.org/10.1007/s10021-017-0125-0

People and Organizations

Creators:
Individual: Melissa Motew
Organization:University of Wisconsin
Address:
1710 University Ave,
Madison, WI 53726 US
Phone:
(608) 890-0337 (voice)
Email Address:
motew@wisc.edu
Web Address:
https://wsc.limnology.wisc.edu/node/21
Individual: Stephen Carpenter
Organization:University of Wisconsin
Address:
680 North Park Street,
Madison, WI 53706 US
Phone:
(608) 262-3014 (voice)
Phone:
(608) 265-2340 (facsimile)
Email Address:
steve.carpenter@wisc.edu
Web Address:
http://limnology.wisc.edu/steve_carpenter.htm
Id:http://orcid.org/0000-0001-8097-8700
Individual: Christopher Kucharik
Organization:University of Wisconsin
Address:
1575 Linden Dr.,
Madison, WI 53706 US
Phone:
(608) 890-3021 (voice)
Phone:
(608) 265-4113 (facsimile)
Email Address:
kucharik@wisc.edu
Web Address:
http://agronomy.wisc.edu/christopher-kucharik/
Id:http://orcid.org/0000-0002-0400-758X
Individual: Eric Booth
Organization:University of Wisconsin
Address:
1552 University Ave,
Madison, WI 53726 US
Phone:
(608) 692-4359 (voice)
Email Address:
egbooth@wisc.edu
Web Address:
http://homepages.cae.wisc.edu/~booth/EricBooth/Home.html
Id:http://orcid.org/0000-0003-2191-6627
Contacts:
Individual: Stephen Carpenter
Organization:University of Wisconsin
Address:
680 North Park Street,
Madison, WI 53706 US
Phone:
(608) 262-3014 (voice)
Phone:
(608) 265-2340 (facsimile)
Email Address:
steve.carpenter@wisc.edu
Web Address:
http://limnology.wisc.edu/steve_carpenter.htm
Id:http://orcid.org/0000-0001-8097-8700
Individual: Christopher Kucharik
Organization:University of Wisconsin
Address:
1575 Linden Dr.,
Madison, WI 53706 US
Phone:
(608) 890-3021 (voice)
Phone:
(608) 265-4113 (facsimile)
Email Address:
kucharik@wisc.edu
Web Address:
http://agronomy.wisc.edu/christopher-kucharik/
Id:http://orcid.org/0000-0002-0400-758X

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
1987-06-30
End:
2013-09-07
Geographic Region:
Description:Yahara River Watershed, Wisconsin, USA
Bounding Coordinates:
Northern:  43.367Southern:  42.788
Western:  -89.607Eastern:  -89.124

Project

Parent Project Information:

Title: WSC Category-2: Climate Change, Shifting Land Use, and Urbanization in a Midwestern Agricultural Landscape: Challenges for Water Quality and Quantity
Personnel:
Individual: Chris Kucharik
Email Address:
kucharik@wisc.edu
Id:https://orcid.org/0000-0002-0400-758X
Role:Principal Investigator
Funding: National Science Foundation: 1038759
Other Metadata

Additional Metadata

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