Data Package Metadata View Summary

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Phenology of Dominant Plant Species II - Berry Production 2013-2021

General Information

Data Package:

Local Identifier:

knb-lter-bnz.580.20

Title:

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Phenology of Dominant Plant Species II - Berry Production 2013-2021

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. In this dataset we specifically ask, how does warming of soil and air impact the phenology of dominant plant species? Phenological data was collected to determine the timing of first bud break, onset and completion of senescence, and reproductive effort (flower and berry production).

Short Name:

knb-lter-bnz.580.20

Publication Date:

2022-05-07

For more information:
Visit:	http://www.lter.uaf.edu/data/data-detail/id/580
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2013-05-01

End:

2021-10-01

People and Organizations
Contact:	Data Manager (Bonanza Creek LTER) [ email ]
Creator:	Rodenhizer, Heidi G (PhD Student)
Creator:	Kadej, Stephanie (PhD Student)
Creator:	Mauritz, Marguerite (Research Associate Professor)
Creator:	Taylor, Meghan (Postdoctoral Researcher )
Creator:	Ledman, Justin (Site Technician)
Creator:	Natali, Susan (Affiliate Scientist)
Creator:	Schuur, Edward (Senior Investigator)
Organization:	Bonanza Creek LTER

Data Entities
Data Table Name:	580_Cipehr_Phenology_2013_berry_biomass.txt
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Data Table Name:	580_CiPEHR_Phenology_2015_berry_biomass.txt
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Data Table Name:	580_Cipehr_Phenology_2014_berry_biomass_LTER.txt
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Data Table Name:	580_CiPEHR_Phenology_2016_berry_biomass_LTER_Data.csv
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Data Table Name:	580_CiPEHR_Phenology_2017_berry_biomass_LTER_Data.csv
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Data Table Name:	580_CiPEHR_Phenology_2018_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Data Table Name:	580_CiPEHR_Phenology_2019_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Data Table Name:	580_CiPEHR_Phenology_2020_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Data Table Name:	580_CiPEHR_Phenology_2021_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/1c03142f2111f7c84867a39f2e6ca77f
Name:	580_Cipehr_Phenology_2013_berry_biomass.txt
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Number of Columns:	10

Table Structure

Object Name:

580_Cipehr_Phenology_2013_berry_biomass.txt

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

Samples are collected in 3 blocks, each block contains 2 fences (1-2; 3-4; 5-6). Within a block each fence is a split plot, winter warmed on one side, ambient on the other. Fences within blocks are replicates of each other

Each fence contains 8 plots, 1-4 on the ambient side of the fence, 5-8 on the winter warmed side of the fence. Summer warming treatments are nested within winter warming treatments, plots 1, 3, 5, 7 have open top chambers to produce a summer warming effect.

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

treatment label - Air warming refers to presence of an open top chamber, Soil warming refers to the winter warmed plots in which increased snow cover produces elevated soil temperatures, Air & Soil warming refers to open top chamber and increased snow depth treatments, Ambient refers to no air or soil warming treatment.

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/a0bb20f583a3136fb2b78776c9db4425
Name:	580_CiPEHR_Phenology_2015_berry_biomass.txt
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2015_berry_biomass.txt

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/0ee6bfca241016d90c979a53559a8a29
Name:	580_Cipehr_Phenology_2014_berry_biomass_LTER.txt
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Number of Columns:	10

Table Structure

Object Name:

580_Cipehr_Phenology_2014_berry_biomass_LTER.txt

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/328814232cc7ae840192e05eccca7f78
Name:	580_CiPEHR_Phenology_2016_berry_biomass_LTER_Data.csv
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2016_berry_biomass_LTER_Data.csv

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/afa1e5df389b9a4d72e2b1df0c5d931a
Name:	580_CiPEHR_Phenology_2017_berry_biomass_LTER_Data.csv
Description:	Phenology of the dominant plant species was monitored througought the growing season. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2017_berry_biomass_LTER_Data.csv

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/bb0f491926cf236e1794d08019f6922a
Name:	580_CiPEHR_Phenology_2018_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2018_berry_biomass_LTER_Data.csv

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/d9d82c4b134e31dad27d5fc3df15d813
Name:	580_CiPEHR_Phenology_2019_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2019_berry_biomass_LTER_Data.csv

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/c2ee3d7865cd5c8554d435d471e5c5b2
Name:	580_CiPEHR_Phenology_2020_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2020_berry_biomass_LTER_Data.csv

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-bnz/580/20/69f8d7fac7b74cead4ca205b89883dad
Name:	580_CiPEHR_Phenology_2021_berry_biomass_LTER_Data.csv
Description:	This dataset contains the annual berry count and biomass data from CiPEHR.
Number of Columns:	10

Table Structure

Object Name:

580_CiPEHR_Phenology_2021_berry_biomass_LTER_Data.csv

Text Format:

Number of Header Lines:

Record Delimiter:

Line Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Column Name:

year

Fence

Plot

Species

treatment

max.berries

berry.biomass

biomass

Definition:

sample year

species for which data was recorded

W = winter warmed side; C= control/ambient side

S = summer or air warming; C=control

maximum numer of berries

max number of berries, adjusted for the biomass of that species in the plot

species biomass

Storage Type:

string

integer

string

float

Measurement Type:

nominal

ratio

Measurement Values Domain:

Definition

sample year

Definition

species for which data was recorded

Definition

W = winter warmed side; C= control/ambient side

Definition

S = summer or air warming; C=control

Definition

Unit	count
Type	real

Unit	maxberries(gbiomass)-1m-2
Type	real

Unit	dimensionless
Type	real

Missing Value Code:

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Code	NA
Expl	Missing Value

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Package Usage Rights

Data Use

This work has been produced as part of the Long Term Ecological Research Program and data users should adhere to the Data Use Agreement of the Long Term Ecological Research Network. 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.

Citation

It is considered a matter of professional ethics to acknowledge the work of other scientists. Thus, the Data User should properly cite the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set. Citation should take the following general form: Creator(s), Year of Data Publication, Title of Dataset, Publisher, Dataset identifier, Dataset URL, Dataset DOI. For Example: Van Cleve, Keith; Chapin, F. Stuart; Ruess, Roger W. 2016. Bonanza Creek Experimental Forest: Hourly Temperature (sample, min, max) at 50 cm and 150 cm from 1988 to Present, Bonanza Creek LTER - University of Alaska Fairbanks. BNZ:1, http://www.lter.uaf.edu/data/data-detail/id/1. doi:10.6073/pasta/725db90d86686be13e6d6b2da5d61217.

Acknowledgement

The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed significantly to its content. Acknowledgements should identify the supporting party, the party that received the support, and any identifying information such as grant numbers. For example: Data are provided by the Bonanza Creek LTER, a partnership between the University of Alaska Fairbanks, and the U.S. Forest Service. Significant funding for collection of these data was provided by the National Science Foundation Long-Term Ecological Research program (NSF Grant numbers DEB-1636476, DEB-1026415, DEB-0620579, DEB-0423442, DEB-0080609, DEB-9810217, DEB-9211769, DEB-8702629) and by the USDA Forest Service, Pacific Northwest Research Station (Agreement # RJVA-PNW-01-JV-11261952-231).

Notification

The Data User will notify the Data Set Contact when any derivative work or publication based on or derived from the Data Set is distributed.

Collaboration

The Data Set has been released in the spirit of open scientific collaboration. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.

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 in its present condition. 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.

Additional Acknowledgements

The Schuur lab data provided on this site are freely available and were furnished by individual Schuur lab members who encourage their use. Please kindly inform in writing (or e-mail) the appropriate Schuur lab scientist(s) (PI) of how you intend to use the data and of any publication plans. It is also important to contact the Schuur lab investigator to assure you are downloading the latest revision of the data and to prevent potential misuse or misinterpretation of the data. Please acknowledge the data source as a citation. If the Schuur lab (PIs) feel that they should be acknowledged or offered participation as authors, they will let you know and we assume that an agreement on such matters will be reached before publishing and/or use of the data for publication. If your work directly competes with the Schuur lab analysis they may ask that they have the opportunity to submit a manuscript before you submit one that uses unpublished data. In addition, when publishing please acknowledge the agency that supported the research. Lastly, we kindly request that those publishing papers using Schuur lab data provide reprints to the PIs. [This statement taken from The Ameriflux Network data sharing policy]. Funding Acknowledgements: Department of Energy NICCR Program; Department of Energy Terrestrial Ecosystem Processes; National Science Foundation CAREER Program; National Parks Inventory and Monitoring Program; National Science Foundation Bonanza Creek LTER program; National Science Foundation Office of Polar Programs, Arctic Natural Sciences Program. Data Cedits: Peter Ganzlin, John Krapek, Andres Baron, Derek Deraps, Sue Natali.

Keywords

By Thesaurus:
Biogeochemistry	climate, disturbance, plant phenology

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:

Experimental Design

The study site at the Eight Mile Lake (EML) watershed is located in the northern foothills of the Alaska Range. While permafrost thaw can sometimes result in water ponding, depending on local topography, this landscape consists largely of relatively well-drained uplands. The CiPEHR experiments were established in 2008 to complement research along a natural permafrost thaw gradient, at an adjacent site. At the permafrost-thaw gradient site permafrost temperature has been monitored annually in a 30-m-deep borehole since1985, before the permafrost started to thaw. There are two experimental warming treatments at the CiPEHR project: Winter warming (WW) increases soil temperature and ground thaw using snow fences; Summer warming (SW) increases growing season air temperature using open top chambers. The warming treatments are applied in a blocked split-plot design to evaluate the seperate and combined effects of winter and summer warming. Permafrost thaw induced by experimental soil (winter) warming has caused subsidence within the footprint of the experiment. Heterogeneous microtopography as a result of subsidence has caused variable moisture conditions with some plots periodically or continuously flooded during the thawed period and some plots remaining dry. Each treatment contains two adjacent, pseudo-replicated plots, both of which were monitored for phenology. Final values for each plot represent an average value from the two pseudo-replicates (which is why it is possible to have 0.5 flowers or berries).

Methods

FIELD: Phenology of the dominant plant species was monitored throughout the growing season. Plots were surveyed starting after snow-melt through mid-September to determine the day of year (DOY) on which bud burst, and senescence occurred. Once plants had flowered, flowers and berries were counted in the entire plot (0.36m2) for each species. Bud burst was monitored early May to mid June, Flowering early June to mid July, Berries mid July to late August, Senescence late August to mid September. The species observed were: Betula nana (bud, flower, senescence), Carex bigelowii (bud, flower senescence), Rubus chamaemorus (bud, flower, berry, senescence), Vaccinium uliginosum (bud, flower, berry, senescence), Vaccinium vitis-idaea (flower, berry), Eriophorum vaginatum (flower, senescence) and Rhododendron subarcticum (flower). Onset of senescence in B. nana and V. uliginosum was defined as at least one leaf with no green (turning red) and complete senescence when no leaves were green; in C. Bigelowii. E. vaginatum, and R. chamaemorus onset of senescence was defined as at least one leaf with no green (leaves turning yellow) and complete senescence if all leaves were yellow. Flowers were either counted as individual flowers (R. Chamaemorus, V. uliginosum, V. vitis-idaea), infloresence clusters (B. nana, R. subarcticum) or number of flowering tillers (C. Bigelowii, E. vaginatum). Each treatment had two pseudo-replicated subplots. If a phenological event was observed in at least one of these two subplots, that DOY was used to determine first occurrence. For flowers and berries averages were calculated from the two subplots, hence it is possible to have observed 0.5 flowers or berries.

Sampling Area and Study Extent

Sampling Description:

Sampling Frequency

Data was collected every 3-7 days. 31 May - 17 September 2013. 4 May - 17 September 2015. EV flowers in 2014 were measured from April onward and by 5/23/2014 numbers had stabilized, so flowers were reported for that day. In 2019, a subset of the plots was sampled.

Sampling Extent:

Sampling Site:

Description:

EML -- Tussock tundra at treeline with permafrost thaw and thermokarst. This site is in the Eight Mile Lake Watershed, west of the town of Healy on Stampede Road, Interior Alaska. This area contains three sites on a permafrost thaw gradient and a nearby experimental snow fence manipulation.. Site alternate names:

Site Coordinates:

Longitude (degree):

-149.239569

Latitude (degree):

63.880708

Time Period

Begin:

2013-05-01

End:

2021-10-01

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@environmentaldatainitiative.org

Web Address:

https://environmentaldatainitiative.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Heidi G Rodenhizer

Position:

PhD Student

Address:

Northern Arizona University: Ecosystem Science and Society Center (ECOSS) PO Box 5620,

Flagstaff, AZ 86011 United States

Email Address:

hgr7@nau.edu

Web Address:

https://www2.nau.edu/schuurlab-p/

Individual:

Stephanie Kadej

Position:

PhD Student

Address:

Center for Ecosystem Science and Society, POBox 5620,

Flagstaff, AZ 86011 United States

Email Address:

sk2258@nau.edu

Web Address:

https://www2.nau.edu/schuurlab-p/

Individual:

Marguerite Mauritz

Position:

Research Associate Professor

Address:

University of Texas, El Paso, 500 W University,

El Paso, TX 79902 United States

Email Address:

memauritz@utep.edu

Web Address:

https://expertise.utep.edu/profiles/memauritz

Individual:

Meghan Taylor

Position:

Postdoctoral Researcher

Address:

Rubenstein School of Environment and Natural Resources, University of Vermont,

Burlington, VT 05405 United States

Email Address:

meghan.taylor@uvm.edu

Individual:

Justin Ledman

Position:

Site Technician

Address:

PO Box 18 Healy, AK 99743,

Healy, AK 99743 United States

Phone:

651-895-0474 (voice)

Email Address:

justin.ledman@gmail.com

Individual:

Susan Natali

Position:

Affiliate Scientist

Address:

Woodwell Climate Research Center, 149 Woods Hole Road,

Falmouth, MA 02540 United States

Phone:

508-444-1560 (voice)

Email Address:

snatali@whrc.org

Web Address:

http://www.whrc.org/about/cvs/snatali.html

Individual:

Edward Schuur

Position:

Senior Investigator

Address:

Northern Arizona University: Ecosystem Science and Society Center (ECOSS) PO Box 5620,

Flagstaff, AZ 86011 United States

Phone:

(928) 523-8344 (voice)

Email Address:

Ted.Schuur@nau.edu

Web Address:

https://www2.nau.edu/schuurlab-p/

Organization:

Bonanza Creek LTER

Address:

Boreal Ecology Cooperative Research Unit ,

University of Alaska Fairbanks,

P.O. Box 756780 ,

Fairbanks, AK 99775 USA

Phone:

907-474-6364 (voice)

Phone:

907-474-6251 (fax)

Email Address:

uaf-bnz-im-team@alaska.edu

Web Address:

http://www.lter.uaf.edu

Contacts:

Organization:

Bonanza Creek LTER

Position:

Data Manager

Address:

Boreal Ecology Cooperative Research Unit ,

University of Alaska Fairbanks,

P.O. Box 756780 ,

Fairbanks, AK 99775 USA

Phone:

907-474-6364 (voice)

Phone:

907-474-6251 (fax)

Email Address:

uaf-bnz-im-team@alaska.edu

Web Address:

http://www.lter.uaf.edu

Metadata Providers:

Organization:

Bonanza Creek LTER

Position:

Data Manager

Address:

Boreal Ecology Cooperative Research Unit ,

University of Alaska Fairbanks,

P.O. Box 756780 ,

Fairbanks, AK 99775 USA

Phone:

907-474-6364 (voice)

Phone:

907-474-6251 (fax)

Email Address:

uaf-bnz-im-team@alaska.edu

Web Address:

http://www.lter.uaf.edu

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2013-05-01

End:

2021-10-01

Sampling Site:

Description:

Dataset geographic description information is unavailable. {datafile/geoCoverage is empty}

Site Coordinates:

Longitude (degree):

-149.225556

Latitude (degree):

63.883056

Project

Parent Project Information:

Title:

The Bonanza Creek LTER

Personnel:

Individual:	Keith Van Cleve
Organization:	Bonanza Creek LTER
Position:	Lead Principal Investigator
Role:	Principal Investigator

Individual:

F.S. Stuart Chapin

Organization:

Bonanza Creek LTER

Position:

Lead Principal Investigator

Address:

Department of Biology and Wildlife; Institute of Arctic Biology: University of Alaska Fairbanks 193 Arctic Health P.O. Box 757000,

Fairbanks, AK 99775 United States

Phone:

(907) 455-6408 (voice)

Phone:

(907) 474-6967 (fax)

Email Address:

terry.chapin@alaska.edu

Web Address:

http://terrychapin.org/

Role:

Principal Investigator

Individual:

Roger W. Ruess

Organization:

Bonanza Creek LTER

Position:

Lead Principal Investigator

Address:

Institute of Arctic Biology University of Alaska Fairbanks P.O. Box 757000,

Fairbanks, AK 99775-0180 United States

Phone:

(907) 474-7153 (voice)

Phone:

(907) 474-6967 (fax)

Email Address:

rwruess@alaska.edu

Web Address:

http://www.iab.uaf.edu/~roger_ruess/

Role:

Principal Investigator

Funding:

NSF Grant numbers DEB-1636476, DEB-1026415, DEB-0620579, DEB-0423442, DEB-0080609, DEB-9810217, DEB-9211769, DEB-8702629

USDA Forest Service, Pacific Northwest Research Station (Agreement # RJVA-PNW-01-JV-11261952-231)

Maintenance

Maintenance:

Description:

corrections

When a species could not be located during certain observation periods it was recorded as NP. Discrepancy in NP between different types of observations is possible because certain features are easier to identify than others. For example it is possible that during bud break a species was not noticed, but was easier to identify later during flower or berry production.

Status

Ongoing

Frequency:

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n '
        |___element 'metadata'
        |     |___text '\n '
        |     |___element 'unitList'
        |     |     |___text '\n'
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'count'
        |     |     |___text '\n'
        |     |     |___element 'unit'
        |     |     |        \___attribute 'id' = 'maxberries(gbiomass)-1m-2'
        |     |     |___text '\n'
        |     |___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

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Phenology of Dominant Plant Species II - Berry Production 2013-2021

Data Entities

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Package Usage Rights

Data Use

Citation

Acknowledgement

Notification

Collaboration

Disclaimer

Additional Acknowledgements

Keywords

Methods and Protocols

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

Experimental Design

Methods

Sampling Frequency

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Parent Project Information:

Maintenance

corrections

Status

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Phenology of Dominant Plant Species II - Berry Production 2013-2021

+/- Data Entities

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

Data Table

+/- Data Package Usage Rights

Data Use

Citation

Acknowledgement

Notification

Collaboration

Disclaimer

Additional Acknowledgements

+/- Keywords

+/- Methods and Protocols

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

Experimental Design

Methods

Sampling Frequency

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

+/- Project

Parent Project Information:

+/- Maintenance

corrections

Status

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata