Lüskow, Florian (2019): Jellyfish abundance and Chlorophyll a data from a shallow semi-enclosed cove, Kertinge Nor, Denmark [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.910153
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2019-12-18 • DOI registered: 2020-02-06
Abstract:
Carnivorous gelatinous zooplankton (GZ) can be very abundant in marine ecosystems around the globe and exert considerable predation pressures on micro- to macrozooplankton as well as larval and juvenile fish. As these species are in many cases intermediate and top predators, their biomass can be easily evaluated, which could indicate overall food web stability or alteration. There is growing concern worldwide about increasing abundances of GZ species and consequently negative impacts on food webs and human coastal zones activities. In this paper, I present a case study from a shallow Danish cove and a long-term record spanning 29 years (1991-2019) obtained by unconventional means. Jellyfish were collected using horizontal sub-surface net tows in August and September during a summer student class. Sea surface temperature and chlorophyll a concentration were measured in parallel. No clear long-term trend in jellyfish biomass could be seen, whereas the values were highly variable from year to year. This is in contrast with other published Scandinavian long-term GZ time series. Sea surface temperature and chlorophyll a concentration had significant (and interactive) effects on the jellyfish biomass in Kertinge Nor. The scarcity and shortness of GZ long-term series do not allow solid conclusions in most marine ecosystems, so it becomes clear that publishing time series (even with small spatial extent) can contribute to improve the perception of interannual GZ population developments. Thus, I strongly recommend extending monitoring activities, explicitly including GZ taxa, in as many marine ecosystems as feasible.
Related to:
Lüskow, Florian (2020): Importance of environmental monitoring: Long-term record of jellyfish (Aurelia aurita) biomass in a shallow semi-enclosed cove (Kertinge Nor, Denmark). Regional Studies in Marine Science, 34, 100998, https://doi.org/10.1016/j.rsma.2019.100998
Coverage:
Latitude: 55.431670 * Longitude: 10.569800
Date/Time Start: 2018-08-01T00:00:00 * Date/Time End: 2019-09-30T00:00:00
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Date | Date | Lüskow, Florian | Date of sampling | ||
| 2 | Years | Years | Lüskow, Florian | Year of sampling | ||
| 3 | Julian day | Julian day | Lüskow, Florian | |||
| 4 | Number of specimens | No spec | # | Lüskow, Florian | ||
| 5 | Diameter | Ø | mm | Lüskow, Florian | d, umbrella diameter of jellyfish | |
| 6 | Standard deviation | Std dev | ± | Lüskow, Florian | Standard deviation of umbrella diameter of jellyfish | |
| 7 | Abundance per volume | Abund v | #/m3 | Lüskow, Florian | D, Number per volume | |
| 8 | Standard deviation | Std dev | ± | Lüskow, Florian | Standard deviation of abundance D | |
| 9 | Dry mass per individual | dm/ind | mg/# | Lüskow, Florian | Dry weight | |
| 10 | Biomass as carbon | Biom C | mg/m3 | Lüskow, Florian | Biomass 1, biomass, carbon | |
| 11 | Biomass, dry mass per volume | Biom dm | g/m3 | Lüskow, Florian | Biomass 2, dry weight per volume | |
| 12 | Sea surface temperature | SST | °C | Lüskow, Florian | ||
| 13 | Chlorophyll a | Chl a | µg/l | Lüskow, Florian |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
234 data points
Data
| 1 Date (Date of sampling) | 2 Years (Year of sampling) | 3 Julian day | 4 No spec [#] | 5 Ø [mm] (d, umbrella diameter of jelly...) | 6 Std dev [±] (Standard deviation of umbrell...) | 7 Abund v [#/m3] (D, Number per volume) | 8 Std dev [±] (Standard deviation of abundan...) | 9 dm/ind [mg/#] (Dry weight) | 10 Biom C [mg/m3] (Biomass 1, biomass, carbon) | 11 Biom dm [g/m3] (Biomass 2, dry weight per volume) | 12 SST [°C] | 13 Chl a [µg/l] |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1991-08-24 | 1991 | 236 | 40.0 | 29.0 | 57.0 | 84.3 | 1.7 | |||||
| 1992-08-31 | 1992 | 244 | 31.5 | 5.0 | 68.0 | 29.1 | 100.8 | 2.0 | 17.0 | |||
| 1993 | 147.0 | 2238.1 | 16.3 | 5.1 | ||||||||
| 1994-08-01 | 1994 | 213 | 61.0 | 13.0 | 187.4 | 124.2 | 2.4 | 25.2 | 17.2 | |||
| 1995 | 66.0 | 32.0 | 234.0 | 381.8 | 7.5 | 24.1 | 10.2 | |||||
| 1996 | ||||||||||||
| 1997-09-14 | 1997 | 257 | 45.0 | 90.0 | 79.5 | 364.7 | 24.0 | 7.9 | ||||
| 1998 | ||||||||||||
| 1999 | 41.0 | 13.0 | 61.1 | 40.5 | 0.8 | 21.8 | 8.7 | |||||
| 2000 | 90.0 | 3.0 | 561.1 | 85.8 | 1.7 | 17.1 | 3.1 | |||||
| 2001 | 45.0 | 21.0 | 79.5 | 85.1 | 1.7 | 23.2 | 13.4 | |||||
| 2002-08-26 | 2002 | 238 | 40.0 | 28.0 | 57.0 | 81.4 | 1.6 | 22.2 | 7.2 | |||
| 2003 | 49.8 | 26.0 | 105.7 | 140.2 | 2.7 | 19.1 | ||||||
| 2004 | 48.9 | 9.6 | 13.0 | 100.4 | 66.6 | 1.3 | 20.9 | 9.5 | ||||
| 2005 | ||||||||||||
| 2006 | 81.0 | 21.0 | 416.8 | 446.4 | 8.8 | 20.7 | 13.5 | |||||
| 2007 | ||||||||||||
| 2008-08-18 | 2008 | 231 | 6 | 35.0 | 0.3 | 1.0 | 39.1 | 1.9 | 0.0 | 18.8 | ||
| 2009-08-17 | 2009 | 229 | 30.2 | 1.1 | 30.0 | 25.9 | 39.1 | 0.8 | 19.3 | 6.7 | ||
| 2010 | 57 | 45.7 | 9.0 | 82.7 | 38.0 | 0.7 | 19.7 | 17.7 | ||||
| 2011-08-22 | 2011 | 234 | 372 | 37.1 | 3.5 | 8.0 | 0.5 | 0.2 | 0.0 | 17.1 | 4.3 | |
| 2012 | ||||||||||||
| 2013-09-03 | 2013 | 246 | 456 | 50.0 | 65.0 | 106.9 | 354.5 | 19.1 | 2.6 | |||
| 2014-08-11 | 2014 | 223 | 97 | 45.0 | 2.3 | 36.0 | 79.5 | 145.7 | 2.9 | 7.8 | ||
| 2015-08-10 | 2015 | 222 | 27 | 52.0 | 11.0 | 10.0 | 1.0 | 116.2 | 59.3 | 1.2 | 21.5 | 7.9 |
| 2016-08-15 | 2016 | 228 | 101.3 | 0.5 | 783.2 | 20.0 | 0.4 | 16.8 | 3.5 | |||
| 2017-08-14 | 2017 | 226 | 45.5 | 5.0 | 81.7 | 20.8 | 0.4 | 18.8 | 2.0 | |||
| 2018-08-20 | 2018 | 232 | 67 | 48.8 | 9.5 | 18.2 | 0.4 | 99.9 | 92.7 | 1.8 | 19.3 | 3.0 |
| 2019-08-19 | 2019 | 231 | 116 | 51.0 | 22.9 | 113.1 | 132.1 | 2.6 | 17.9 | 2.7 |