Data Package Metadata   View Summary

Effects of Hydrologic Connectivity and Species Differences on Riparian Poplar Growth (Rhône River, France)

General Information
Data Package:
Local Identifier:edi.1438.1
Title:Effects of Hydrologic Connectivity and Species Differences on Riparian Poplar Growth (Rhône River, France)
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Understanding how ecosystems will respond to the projected increase in drought conditions is a key factor in the larger debate on how to combat climate change. This is especially important for ecosystems intrinsically linked to the hydro system, such as riparian zones. We performed a dendrochronological analysis using the basal area increment of Populus alba and Populus nigra along the Rhône River in Brégnier-Cordon to investigate how the two species respond to water stress. Samples were taken from sites of varying connectedness to the water table in order to simulate different drought conditions. Our goal was to understand if one of the species was more drought resistant, and therefore better adapted to survive declining groundwater levels. Results show that there is a significant correlation between annual growth and the species and site connectiveness to the water table. Not only was growth correlated to both variables separately, but there was significant correlation between growth and the interaction between the two. Our results indicate that the ecosystem structure regarding P. alba and P. nigra along this portion of the Rhône will change as drought conditions worsen as the species are affected significantly differently by water stress.

Publication Date:2023-06-06
For more information:
Visit: DOI PLACE HOLDER

Time Period
Date:
2022

People and Organizations
Contact:Stella, John C (State University of New York College of Environmental Science and Forestry, Professor) [  email ]
Creator:Stella, John Christopher (SUNY College of Environmental Science and Forestry, Professor; Vice President for Research)
Creator:Brinton, Ryan (Syracuse University, Undergraduate researcher)

Data Entities
Data Table Name:
Brinton_Data_LongTable_2023-06-06
Description:
Tree-core data from 59 Populus trees from the upper Rhône River valley, France. There are four sites, 59 trees total, and two cores per tree (N=117 cores total). Of the trees, 32 are P. nigra and 27 are P. alba. Sampling occurred during July 2022 by Ryan Brinton, Syracuse University (B.S. Biology, May 2023).
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/edi/1438/1/25f537275fcd2727a8f0ac288867f4e7
Name:Brinton_Data_LongTable_2023-06-06
Description:Tree-core data from 59 Populus trees from the upper Rhône River valley, France. There are four sites, 59 trees total, and two cores per tree (N=117 cores total). Of the trees, 32 are P. nigra and 27 are P. alba. Sampling occurred during July 2022 by Ryan Brinton, Syracuse University (B.S. Biology, May 2023).
Number of Records:3165
Number of Columns:7

Table Structure
Object Name:Brinton_Data_LongTable_2023-06-06.csv
Size:150540 byte
Authentication:1fe69df7b00d5a4273780e495b460622 Calculated By MD5
Text Format:
Number of Header Lines:1
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 CoreIDYearRWI_umSiteSpeciesTreeCore
Column Name:CoreID  
Year  
RWI_um  
Site  
Species  
Tree  
Core  
Definition:Unique core ID, with naming convention SiteCode-SpeciesCode-TreeNumber-CoreCodeYear corresponding to age of individual tree-ringTree-ring width, measured in micrometers (0.001 mm). Measured on a Velmex sliding stage micrometer at SUNY College of Environmental Science and ForestrySampling site within the Brégnier-Cordon region.Tree species sampledTree number at each site. Tree numbers are reused between sites and are not unique across sites.Tree core per tree, either A or B. In almost all cases, there was a core A and a core B from each tree. Core letters are reused by tree
Storage Type:string  
float  
float  
string  
string  
float  
string  
Measurement Type:nominalratiorationominalnominalrationominal
Measurement Values Domain:
Definitiontext
Unityear
Typeinteger
Unitmicrometer
Typeinteger
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeBrotteaux
DefinitionBrotteaux sampling site at Brégnier-Cordon site
Source
Code Definition
CodeDeversoir
DefinitionDeversoir sampling site at Brégnier-Cordon site
Source
Code Definition
CodeEvieu
DefinitionEvieu sampling site at Brégnier-Cordon site
Source
Code Definition
CodeIle de Sable
DefinitionIle de Sable sampling site at Brégnier-Cordon site
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodePopulus alba
DefinitionPopulus alba L.; white poplar; https://en.wikipedia.org/wiki/Populus_alba
Source
Code Definition
CodePopulus nigra
DefinitionPopulus nigra; black poplar; https://en.wikipedia.org/wiki/Populus_nigra
Source
UnitInteger
Typeinteger
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeA
DefinitionCore code. First of two cores per tree.
Source
Code Definition
CodeB
DefinitionCore code. Second of two cores per tree.
Source
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 Vocabularyriparian, dendrochronology, floodplain, rivers, growth, wood, hydrology, groundwater
(No thesaurus)dendroecology, tree radial growth, Rhône River basin, Mediterranean

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:

Site Selection:

The Rhone River is an 812-kilometer long alpine river that flows from the Furka Glacier in Switzerland to the Mediterranean Sea (Olivier et al, 2022). In determining from where along the Rhône we would collect increment cores, we sampled sites that (a) had both P. alba and P. nigra represented in the community, (b) represented varying levels of connectedness to the water table, and (c) were close enough geographically to reduce climate variation between sites. Site connectiveness to the water table was determined by a visual observation of the height from the water table to the field site. We chose an 8-kilometer stretch of the

containing four individual sites that met the necessary conditions. A dam upstream of the sites split the river in two, lowering the water level around two of the chosen sites. The split rivers connect further downstream, raising the water level to its original depth where the last two sites are located. They are also far enough downstream where P. alba is present, as P. alba does not grow along the upper portion of the Rhône (Olivier et al, 2022). The close proximity of the four sites to one another indicates that climate variables, such as precipitation and temperature, would be consistent across each site.

Description:

Field Sampling:

Individual trees were selected at random within the site boundaries. The circumference and GPS location of each tree was then recorded. Trees were only selected if they were over 10 meters tall. Eight P. nigra were selected at each site, and eight P. alba were selected each at sites 1 and 2. Due to low availability, six P. alba were selected each at sites 3 and 4. Two core samples were taken from each tree at breast height, at 90 degrees from each other. One was taken with a 4.5-millimeter diameter increment borer, while the other was taken with a 10-millimeter diameter increment borer. The larger diameter cores were stored for future stable isotope analysis of the wood.

Description:

Sample Preparation and Reading:

The cores were stored in paper straws to dry for a week after collection. Once dry, they were mounted and prepped for sanding. The cores were sanded using a belt sander, gradually increasing the fineness from 120 to 400 grit size. They were then further polished by hand using 30-micron sandpaper. After sanding, the cores were read using a sliding scale micrometer linked to Tellervo dendrochronological analysis package (Brewer, 2014). The raw width index was transformed to the basal area increment (BAI) using the dplR package in R (Bunn et al, 2019).

Description:

Statistical Analysis:

Median basal area increment (BAI) chronology was correlated to the species and site connectiveness to the water table. This was done with a mixed model using the nlme package in R (Pinheiro, 2009), with species and site as fixed effects and year as a random effect to account for autocorrelation. We compared five models that included single fixed effects (species and site connectivity), their additive effects (species + site), an interactive model (species x site), and a null (intercept-only) model. An AIC analysis using a likelihood inference approach was applied to determine the best fitting model.

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:Dr. John Christopher Stella
Organization:SUNY College of Environmental Science and Forestry
Position:Professor; Vice President for Research
Address:
1 Forestry Drive,
Syracuse, NY 13210 USA
Phone:
315-715-5959 (voice)
Email Address:
stella.jc@gmail.com
Id:https://orcid.org/0000-0001-6095-7726
Individual: Ryan Brinton
Organization:Syracuse University
Position:Undergraduate researcher
Email Address:
ryabrinton@gmail.com
Contacts:
Individual:Dr. John C Stella
Organization:State University of New York College of Environmental Science and Forestry
Position:Professor
Address:
1 Forestry Drive,
Syracuse, NY 13214 USA
Phone:
+1 315-715-5959 (voice)
Email Address:
stella@esf.edu
Id:https://orcid.org/0000-0001-6095-7726

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Date:
2022
Geographic Region:
Description:The project field site is in Brégnier-Cordon, a commune in the Ain department in eastern France. It is located in a bend of the Rhône on the edge of Savoie (on the southeast) and Isère (on the west). The territory of the commune lies principally in the plain of the Rhône at the foot of the Jura mountains. The sampling took place within riparian forests dominated by black poplar (Populus nigra) and white poplar (P. alba).
Bounding Coordinates:
Northern:  45.67236Southern:  45.61193
Western:  5.58032Eastern:  5.68035
Altitude Minimum:203.0Altitude Maximum:460.0
Taxonomic Range:
General Coverage:The project consisted of tree coring for black poplar (Populus nigra) and white poplar (P. alba)
Classification:
Rank Name:Kingdom
Rank Value:Plantae
Common Name:plants
Identifer:https://www.itis.gov
ID: 202422
Classification:
Rank Name:Subkingdom
Rank Value:Viridiplantae
Common Name:green plants
Identifer:https://www.itis.gov
ID: 954898
Classification:
Rank Name:Infrakingdom
Rank Value:Streptophyta
Common Name:land plants
Identifer:https://www.itis.gov
ID: 846494
Classification:
Rank Name:Division
Rank Value:Tracheophyta
Common Name:vascular plants
Identifer:https://www.itis.gov
ID: 846496
Classification:
Rank Name:Subdivision
Rank Value:Spermatophytina
Common Name:spermatophytes
Identifer:https://www.itis.gov
ID: 846504
Classification:
Rank Name:Class
Rank Value:Magnoliopsida
Identifer:https://www.itis.gov
ID: 18063
Classification:
Rank Name:Superorder
Rank Value:Rosanae
Identifer:https://www.itis.gov
ID: 846548
Classification:
Rank Name:Order
Rank Value:Malpighiales
Identifer:https://www.itis.gov
ID: 822428
Classification:
Rank Name:Family
Rank Value:Salicaceae
Common Name:willows
Identifer:https://www.itis.gov
ID: 22443
Classification:
Rank Name:Genus
Rank Value:Populus
Common Name:cottonwood
Identifer:https://www.itis.gov
ID: 22444
Classification:
Rank Name:Species
Rank Value:Populus nigra
Common Name:black cottonwood
Identifer:https://www.itis.gov
ID: 22468
Taxonomic Range:
Classification:
Rank Name:Kingdom
Rank Value:Plantae
Common Name:plants
Identifer:https://www.itis.gov
ID: 202422
Classification:
Rank Name:Subkingdom
Rank Value:Viridiplantae
Common Name:green plants
Identifer:https://www.itis.gov
ID: 954898
Classification:
Rank Name:Infrakingdom
Rank Value:Streptophyta
Common Name:land plants
Identifer:https://www.itis.gov
ID: 846494
Classification:
Rank Name:Division
Rank Value:Tracheophyta
Common Name:vascular plants
Identifer:https://www.itis.gov
ID: 846496
Classification:
Rank Name:Subdivision
Rank Value:Spermatophytina
Common Name:spermatophytes
Identifer:https://www.itis.gov
ID: 846504
Classification:
Rank Name:Class
Rank Value:Magnoliopsida
Identifer:https://www.itis.gov
ID: 18063
Classification:
Rank Name:Superorder
Rank Value:Rosanae
Identifer:https://www.itis.gov
ID: 846548
Classification:
Rank Name:Order
Rank Value:Malpighiales
Identifer:https://www.itis.gov
ID: 822428
Classification:
Rank Name:Family
Rank Value:Salicaceae
Common Name:willows
Identifer:https://www.itis.gov
ID: 22443
Classification:
Rank Name:Genus
Rank Value:Populus
Common Name:cottonwood
Identifer:https://www.itis.gov
ID: 22444
Classification:
Rank Name:Species
Rank Value:Populus alba
Common Name:white poplar
Identifer:https://www.itis.gov
ID: 22451

Project

Parent Project Information:

Title:Effects of Hydrologic Connectivity and Species Differences on Riparian Poplar Growth
Personnel:
Individual:Dr. John C Stella
Organization:SUNY College of Environmental Science and Forestry
Position:Principle Investigator
Email Address:
stella@esf.edu
Id:https://orcid.org/0000-0001-6095-7726
Role:Project director
Individual:Mr. Ryan Brinton
Email Address:
ryabrinton@gmail.com
Role:Undergraduate and post-graduate researcher
Abstract:

Understanding how ecosystems will respond to the projected increase in drought conditions is a key factor in the larger debate on how to combat climate change. This is especially important for ecosystems intrinsically linked to the hydrologic system, such as riparian zones. We performed a dendroecological analysis using the basal area increment of Populus alba and Populus nigra along the Rhône River in Brégnier-Cordon to investigate how the two species respond to local hydrologic conditions. Samples were taken from sites of varying connectedness to the water table in order to simulate different drought conditions. Our goal was to understand if one of the species was more drought resistant, and therefore better adapted to survive declining groundwater levels. Results show that there is a significant correlation between annual growth and the species and site connectiveness to the water table. Not only was growth correlated to both variables separately, but the interaction of both factors was the best overall predictor of radial growth. Our results indicate that the ecosystem structure regarding P. alba and P. nigra along this portion of the Rhône may change if drought conditions worsen as the species are affected differentially by hydrologic conditions.

Maintenance

Maintenance:
Description:

Data are maintained by Dr. John Stella, in cooperation with Ryan Brinton.

Frequency:
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'year'
        |     |     |     |  \___attribute 'name' = 'year'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Integer year value '
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'Integer'
        |     |     |     |  \___attribute 'name' = 'Integer'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'Integer tree number. Tree numbers are reused between sites and are not unique across sites.'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'emlEditor'
        |     |        \___attribute 'app' = 'ezEML'
        |     |        \___attribute 'release' = '2023.05.31'
        |     |___text '\n    '
        |___text '\n  '

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