Dataset for "Attributes of Phragmites australis in response to climate change using a common garden study"


The response of plant species to environmental change, including climate, is based on phenotypic plasticity. Empirical research can help in understanding how invasive plants adapt to changing conditions for successful establishment. Our goal was to assess the effect of environment of origin and ecotypic variation on phenotypic response of native and invasive Phragmites australis using morphological and ecophysiological measurements. We established a common garden study using seeds collected from Southwest, Midwest, and Great Lakes regions that crossed longitudinal and latitudinal gradients of the US. Within and end of growing season measurements were made for morphological (e.g., height, leaf size, inflorescence) and ecophysiological (e.g., photosynthesis, stomatal conductance, water use efficiency) attributes of all P. australis lineages. Native and invasive lineages differed significantly across regions in the categories of maximum height and stem diameter along with the probability of inflorescence. However, lineages were fairly similar across regions with regard to photosynthesis, stomatal conductance, transpiration and water use efficiency throughout the growing season. The general insignificance in ecophysiology among the lineages and across regions demonstrates adaption or phenotypic plasticity of P. australis. However, morphological characteristics of P. australis may not be as evolutionarily advanced in response to changing conditions, especially drought.



Document Type




File Format

.csv, .txt

Publication Date



Utah Agricultural Experiment Station


Utah State University

Award Number

Utah Agricultural Experiment Station UTA01411

Award Title

Attributes of Phragmites australis in response to climate change using a common garden study


Weekly measurements were made for various growth parameters of Phragmites australis, which included height (average and maximum), stem number (total and inside/outside the main clump), stature (rating for upright (0) to laid over (5)), stolons (number and length), and inflorescences (number). In addition, detailed morphology measurements were taken on the three most mature stems from clumps in each mesocosm and included maximum height, length to the first node above and below the middle of each stem, length and width of the first leaf above and below the middle of each stem, diameter of the top, middle, and bottom third of each stem, hairiness of leaf ligules (sparse, medium, heavy), foliage color (green, brown, red), and presence and length of inflorescences. Ecophysiological traits were measured approximately every two weeks from June to September. In each mesocosm, assimilation rate, (A, µmol m-2 s-1), stomatal conductance (Gs, mol m-2 s-1), and transpiration (E, mmol m-2 s-1) were measured on at least three plants using the LICOR 6400XT (LI-COR, Lincoln, NE, USA). Instantaneous water use efficiency was calculated using the ratio of A to Gs. The 15N and 13C were determined separately on 3 to 5 leaves per plants by combustion and isotope ratio mass spectrometry using a Eurovector E3000 elemental analyzer interfaced with an Isoprime continuous flow isotope ratio mass spectrometer (GV Instruments, Manchester, UK). Plant nitrogen content was determined analytically for each mesocosm using the Costech ECS 4010 (Costech Analytical Technologies, Inc, Valencia, CA, USA). Measured morphological traits included specific leaf area (SLA) during the season and dry above ground biomass at the end of the season. For biomass, all above ground leaves and stems (not stolons) were cut at the soil surface and put in a drying oven for five days until reaching a constant weight.

Scientfic Names

Phragmites australis

Start Date


End Date



Utah State University



Code Lists

See the Data_Dictionary.csv file.


Files are grouped in to four types: 2012 Growth, 2013 Growth, 2013 Season End, and Ecophysiology. The files are then defined by the date that the data was collected.


Plant Sciences


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


README.txt (4 kB)
MD5: 71d113c1c4ceda8a603500aa87055333

Data_Dictionary.csv (2 kB)
MD5: 748ff3ba22119eb03dca46eed2dbd42e

2012_Growth_2012-05-21.csv (1 kB)
MD5: 50999d4cda8a390ae4547251bff69e63

2012_Growth_2012-06-21.csv (1 kB)
MD5: 4999a2c4503020ff4da829b1d7b91e78

2012_Growth_2012-07-12.csv (1 kB)
MD5: 2b5d78ca62de2396c94951ce8bc48a0d

2012_Growth_2012-07-26.csv (1 kB)
MD5: 6bfd6acdd0202b67ae426ea25ae7c1ec

2012_Growth_2012-08-02.csv (1 kB)
MD5: d14f31298e32da8ff100223f8433f813

2012_Growth_2012-08-09.csv (1 kB)
MD5: 0f470c598d3dd3da74b76b08a9ee4fc2

2012_Growth_2012-08-16.csv (1 kB)
MD5: 7a8715c0539524def5a24e9c449ecbcf

2012_Growth_2012-08-24.csv (1 kB)
MD5: ee7bf47e77bd1aae8061ae0db9bab5e5

2012_Growth_2012-09-06.csv (1 kB)
MD5: 58e3941bf4c2921275eeb6706380f02e

2012_Growth_2012-09-13.csv (1 kB)
MD5: 84edaa009bc751749ee0e679d4f4972c

2012_Growth_2012-09-21.csv (1 kB)
MD5: 82bab4f8f438e36241391608e1688142

2012_Growth_2012-10-02.csv (1 kB)
MD5: 53279572af727ab0fc739c1ffff6f0f0

2013_Growth_2013-01-21.csv (1 kB)
MD5: a542c0fa015cc2da34eb1a3a6cb3c8c0

2013_Growth_2013-02-22.csv (1 kB)

2013_Growth_2013-03-15.csv (1 kB)
MD5: 66c7c75f950a943f2136ebc02aff84a0

2013_Growth_2013-04-05.csv (1 kB)
MD5: 36f4694a7ca4f3a19f6c0b2f690beea9

2013_Growth_2013-04-19.csv (1 kB)
MD5: dff3eb1de57fd0b08bee086d654acc40

2013_Growth_2013-05-02.csv (1 kB)
MD5: 9a9a21d123e120438459b0b769d65c97

2013_Growth_2013-05-17.csv (1 kB)
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2013_Growth_2013-05-31.csv (1 kB)
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2013_Growth_2013-06-14.csv (1 kB)
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2013_Growth_2013-06-28.csv (1 kB)
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2013_Growth_2013-07-11.csv (1 kB)
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2013_Growth_2013-07-29.csv (1 kB)
MD5: dec16d8f1ed580efd9dfd75d6810afe4

2013_Growth_2013-08-12.csv (1 kB)
MD5: 39ea50f941ec4b24503271ff1cdd0fa6

2013_Growth_2013-09-02.csv (2 kB)
MD5: cecfc6c95dce8d37508c865b6d283486

2013_Growth_2013-09-16.csv (2 kB)
MD5: c6125b52ad87bcda12ae57fe7c0c2c22

2013_Season_End_2013.csv (8 kB)
MD5: 30ef912d4d9732710ada11d177cdc8c5

Ecophysiology_2014-06-22.csv (1 kB)
MD5: 9d506a3da2c97883f7f45492655672df

Ecophysiology_2014-07-03.csv (1 kB)

Ecophysiology_2014-07-25.csv (1 kB)
MD5: 39b4cd7f1e0bcd59bdfffbdad10c45d5

Ecophysiology_2014-08-08.csv (1 kB)
MD5: 33f81a50f40e7f10bfda41fc0c80c537

Ecophysiology_2014-08-15.csv (1 kB)
MD5: 6188ac840736a30055e28b76c3d65a3f

Ecophysiology_2014-08-25_Panicles.csv (1 kB)
MD5: cb995d63e06d2fc3384c74a136df5626

Ecophysiology_2014-08-26.csv (1 kB)
MD5: 7182c5ef27e3477a5d7e5e96ff59dd33

Ecophysiology_2014-08-26_Leaf_Area.csv (1 kB)
MD5: bde6fcbd4a3f6bc6c4179c9cdd57b10c

Ecophysiology_2014-08-29.csv (1 kB)
MD5: 4119df79abf087b3eb5478be46c2cb39

Ecophysiology_2014-09-12.csv (1 kB)
MD5: e170ecf6007df0c317e3538ef152c02a

Ecophysiology_2014-09-12_Leaf_Area.csv (1 kB)
MD5 b053e42e27bb8a8a22bd3744a577c3fe

Ecophysiology_2014-10-03.csv (1 kB)
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Ecophysiology_2014-10-24.csv (1 kB)
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