Wahl, Martin; Werner, Franziska Julie; Buchholz, Björn; Raddatz, Stefanie; Graiff, Angelika; Matthiessen, Birte; Karsten, Ulf; Hiebenthal, Claas; Hamer, Jorin; Ito, Maysa; Gülzow, Elisa; Rilov, Gil; Guy-Haim, Tamar (2019): Seasonal mesocosm community experiments with warming and acidification treatments in Kiel Outdoor Benthocosms [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.907357, In supplement to: Wahl, M et al. (2020): Season affects strength and direction of the interactive impacts of ocean warming and biotic stress in a coastal seaweed ecosystem. Limnology and Oceanography, 65(4), 807-827, https://doi.org/10.1002/lno.11350
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Abstract:
Seasonal mesocosm community experiments: Four successive runs of ca 10 weeks in 12 outdoor mesocosms (ca 1400 L) with flow-through and a orthogonally crossed warming ("ambient" temperature vs warming by 5°C = "OW") and acidification ("ambient" CO2 vs increase by 700 µatm = "OA" and combined warming and acidification = "OWA" ) treatment. The tanks were started with the same community composition (Fucus vesiculosus; mesograzers Idotea spp., Gammarus spp., Littorina littorea; seastar Asteria rubens, filter feeders Balanus improvisus, Mytilus edulis); details in Wahl et al. 2015.
Seasonal responses to the various treatments were (a) mean daily relative Fucus length growth of thallus tips (%), (b) relative Mytilus shell length growth (%), (c) mean daily relative growth of Balanus basal plate, (d-f) the relative population size changes of the three mesograzer species expressed as the log of final divided by initial abundances, (g) the relative survival of Asterias (%).
Related to:
Wahl, Martin; Buchholz, Björn; Winde, Vera; Golomb, Dar; Guy-Haim, Tamar; Müller, Jens Daniel; Rilev, Gil; Scotti, Marco; Böttcher, Michael Ernst (2015): A mesocosm concept for the simulation of shallow underwater climates: The Kiel Outdoor Benthocosms (KOB). Limnology and Oceanography-Methods, 13(11), 651–663, https://doi.org/10.1002/lom3.10055
Coverage:
Latitude: 54.330000 * Longitude: 10.150000
Event(s):
Kiel-Outdoor-Benthocosms (KOB) * Latitude: 54.330000 * Longitude: 10.150000 * Method/Device: Mesocosm experiment (MESO)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Experiment | Exp | Wahl, Martin | |||
| 2 | Season | Season | Wahl, Martin | |||
| 3 | Experimental treatment | Exp treat | Wahl, Martin | |||
| 4 | Replicate | Repl | Wahl, Martin | |||
| 5 | Fucus vesiculosus, length, growth rate | F. vesiculosus l µ | %/day | Wahl, Martin | ||
| 6 | Mytilus edulis, shell length, growth rate | M. edulis shell l µ | %/day | Wahl, Martin | ||
| 7 | Balanus improvisus, plate, growth rate | B. improvisus plate µ | %/day | Wahl, Martin | ||
| 8 | Abundance change | Abund change | Wahl, Martin | Idotea (log[N2/N1]) | ||
| 9 | Abundance change | Abund change | Wahl, Martin | Gammarus (log[N2/N1]) | ||
| 10 | Abundance change | Abund change | Wahl, Martin | Littorina (log[N2/N1]) | ||
| 11 | Asterias rubens, survival | A. rubens surv | % | Wahl, Martin |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
528 data points
Data
| 1 Exp | 2 Season | 3 Exp treat | 4 Repl | 5 F. vesiculosus l µ [%/day] | 6 M. edulis shell l µ [%/day] | 7 B. improvisus plate µ [%/day] | 8 Abund change (Idotea (log[N2/N1])) | 9 Abund change (Gammarus (log[N2/N1])) | 10 Abund change (Littorina (log[N2/N1])) | 11 A. rubens surv [%] |
|---|---|---|---|---|---|---|---|---|---|---|
| KOB | Spring | OA | 1 | 3.31 | 0.01 | 0.02 | -0.35 | 1.13 | 0.15 | 50.00 |
| KOB | Spring | OA | 2 | 2.55 | 0.01 | 0.23 | -0.90 | 1.22 | 0.12 | 100.00 |
| KOB | Spring | OA | 3 | 2.19 | 0.02 | 0.34 | -0.70 | 0.89 | 0.11 | 100.00 |
| KOB | Spring | OW | 1 | 3.07 | 0.04 | 0.40 | 0.22 | 0.97 | 0.11 | 0.00 |
| KOB | Spring | OW | 2 | 2.98 | 0.01 | 0.20 | 0.59 | 1.16 | 0.18 | 100.00 |
| KOB | Spring | OW | 3 | 3.34 | 0.01 | 0.01 | 1.35 | 1.06 | -0.09 | 0.00 |
| KOB | Spring | OWA | 1 | 2.95 | 0.01 | 0.04 | 0.62 | 0.72 | 0.06 | 50.00 |
| KOB | Spring | OWA | 2 | 3.00 | 0.01 | 0.02 | 0.68 | 1.14 | 0.18 | 50.00 |
| KOB | Spring | OWA | 3 | 3.04 | 0.16 | 0.04 | 0.80 | 1.11 | 0.09 | 0.00 |
| KOB | Spring | AMB | 1 | 1.86 | 0.00 | 0.00 | -0.70 | 1.07 | 0.18 | 0.00 |
| KOB | Spring | AMB | 2 | 1.91 | 0.04 | 0.07 | -1.30 | 0.93 | 0.14 | 50.00 |
| KOB | Spring | AMB | 3 | 2.05 | 0.02 | 0.26 | -1.00 | 1.21 | 0.16 | 100.00 |
| KOB | Summer | OA | 1 | 4.39 | 0.01 | 0.09 | 1.26 | 1.01 | -0.01 | 67.00 |
| KOB | Summer | OA | 2 | 1.88 | 0.02 | 0.03 | 0.97 | 1.33 | -1.50 | 100.00 |
| KOB | Summer | OA | 3 | 2.38 | 0.01 | 0.06 | 0.87 | 1.07 | -0.39 | 100.00 |
| KOB | Summer | OW | 1 | 2.38 | 0.02 | 0.31 | -0.06 | 0.48 | -0.13 | 0.00 |
| KOB | Summer | OW | 2 | 1.96 | 0.01 | 0.56 | -0.07 | 0.63 | -0.39 | 0.00 |
| KOB | Summer | OW | 3 | 1.67 | 0.01 | 0.05 | 0.47 | 1.30 | 0.10 | 0.00 |
| KOB | Summer | OWA | 1 | 2.80 | 0.02 | 0.29 | -0.15 | -1.50 | -0.10 | 0.00 |
| KOB | Summer | OWA | 2 | 3.04 | 0.05 | 0.06 | 0.21 | 0.21 | -0.58 | 0.00 |
| KOB | Summer | OWA | 3 | 3.75 | 0.03 | 0.13 | -0.22 | 0.48 | -1.05 | 0.00 |
| KOB | Summer | AMB | 1 | 2.26 | 0.03 | 0.22 | 1.04 | 0.90 | -0.33 | 100.00 |
| KOB | Summer | AMB | 2 | 1.70 | 0.03 | 0.02 | 0.84 | 1.28 | 0.40 | 100.00 |
| KOB | Summer | AMB | 3 | 1.34 | 0.02 | 0.05 | 1.12 | 1.34 | -0.12 | 100.00 |
| KOB | Autumn | OA | 1 | 0.92 | 0.04 | 0.28 | -0.90 | 0.75 | -0.08 | 0.00 |
| KOB | Autumn | OA | 2 | 0.71 | 0.03 | 0.15 | -0.12 | 0.72 | -0.49 | 0.00 |
| KOB | Autumn | OA | 3 | 1.19 | 0.02 | 0.07 | -1.50 | 0.56 | -0.15 | 100.00 |
| KOB | Autumn | OW | 1 | 0.44 | 0.03 | 0.33 | -0.03 | 0.82 | 0.02 | 50.00 |
| KOB | Autumn | OW | 2 | 0.93 | 0.09 | 0.38 | 0.45 | 0.79 | 0.04 | 50.00 |
| KOB | Autumn | OW | 3 | 1.11 | 0.05 | 0.85 | -0.07 | 0.81 | -0.07 | 0.00 |
| KOB | Autumn | OWA | 1 | 1.09 | 0.01 | 0.39 | -0.07 | 0.83 | -0.30 | 50.00 |
| KOB | Autumn | OWA | 2 | 0.67 | 0.05 | 0.25 | -1.00 | 0.86 | -0.05 | 0.00 |
| KOB | Autumn | OWA | 3 | 0.87 | 0.04 | 0.27 | -0.14 | 0.79 | -0.04 | 100.00 |
| KOB | Autumn | AMB | 1 | 0.43 | 0.14 | 0.10 | -0.52 | 0.76 | -0.28 | 0.00 |
| KOB | Autumn | AMB | 2 | 0.78 | 0.02 | 0.19 | -0.60 | 0.63 | -0.13 | 50.00 |
| KOB | Autumn | AMB | 3 | 1.00 | 0.02 | 0.08 | -1.50 | 0.80 | -0.58 | 50.00 |
| KOB | Winter | OA | 1 | 1.32 | 0.03 | 0.55 | -0.49 | 0.40 | -0.08 | 100.00 |
| KOB | Winter | OA | 2 | 0.64 | 0.04 | 1.19 | -0.10 | 0.76 | 0.07 | 100.00 |
| KOB | Winter | OA | 3 | 0.63 | 0.06 | 1.09 | -0.22 | 0.63 | -0.04 | 100.00 |
| KOB | Winter | OW | 1 | 0.40 | 0.04 | 1.23 | -0.01 | 1.25 | -0.01 | 100.00 |
| KOB | Winter | OW | 2 | 1.22 | 0.02 | 0.03 | -0.14 | 1.23 | -0.04 | 100.00 |
| KOB | Winter | OW | 3 | 0.36 | 0.04 | 1.10 | -0.17 | 1.09 | 0.06 | 100.00 |
| KOB | Winter | OWA | 1 | 1.01 | 0.02 | 0.43 | -0.07 | 1.37 | -0.10 | 100.00 |
| KOB | Winter | OWA | 2 | 0.82 | 0.02 | 0.62 | -0.20 | 1.16 | -0.01 | 100.00 |
| KOB | Winter | OWA | 3 | 0.95 | 0.06 | 0.24 | -0.35 | 1.48 | -0.01 | 100.00 |
| KOB | Winter | AMB | 1 | 0.86 | 0.04 | 0.80 | -0.49 | 0.42 | 0.09 | 100.00 |
| KOB | Winter | AMB | 2 | 0.60 | 0.03 | 0.80 | -0.24 | 0.58 | 0.05 | 100.00 |
| KOB | Winter | AMB | 3 | 0.52 | 0.03 | 0.80 | -0.35 | 1.01 | 0.01 | 100.00 |