• Keine Ergebnisse gefunden

Picoplankton: The successful spreading over the Arctic Ocean

N/A
N/A
Protected

Academic year: 2022

Aktie "Picoplankton: The successful spreading over the Arctic Ocean"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Why?

The Arctic Ocean is a threatened environment. Hence, evaluations of the impact on the base of the food web, on local phytoplankton communities, are required. Prerequisite of such an evaluation is comprehensive information about the present phytoplankton diversity and distribution. Recent investigations indicate that rising temperatures as well as freshening of surface waters in the marine environment promote a shift towards picoeukaryotes. In such a scenario, picoplankton can comprise a large pool of biomass by attaining high abundances.

The objective of this study is to deliver a framework for

better understanding the interactions between environmental conditions and corresponding pico- & nanoplankton communities by assessing the presence of biogeographic patterns.

Picoplankton: The successful spreading over the Arctic Ocean

Estelle Silvia Kilias

1

, Christian Wolf

1

, Ilka Peeken

1,2

, Katja Metfies

1

1

Alfred Wegner Institute for Polar and Marine Research, Bremerhaven, Germany

2

MARUM - Center for Marine Environmental Science, Bremen, Germany

Introduction Results Discussion

Where?

In order to comprehend how environmental variables

influence picoplankton diversity, occurrence and distribution sampling has taken place in areas of divers hydrodynamic

conditions like I) the Fram Strait & II) the central Arctic Ocean.

How?

The analysis has been carried out by the application of ribosomal fingerprinting technology (ARISA) to assess the community structure and of Next Generation Sequencing to analyze the diversity assessment.

T1 T3 T5 T6 T7 T9

HGN4

HG1

HGS3 HG4

Fig.1. Map of the study area I) presents the “Hausgarten” long-term observatory and II) the stations along the transect. In this respect T1-T5 are located within the East Greenland Current (EGC), T6 & T7 within the transition zone and T9 & the Hausgarten samples within the West-Spitzbergen Current (WSC).

Fig.2. Temperature and Salinity profile of the “Hausgarten” (I) and transect (II) stations.

II I

II I

II

Estelle.Kilias@awi.de

Greenland Transect (whole size class)

The meta MDS plot shows a similar community structure of T3, T5 & T6, while T1, T7 & T9 are plotted as outliers

The pyrosequencing reveals a similar disposition within the abundant biosphere of T3, T6 & T9 by representing i.a. a high proportion of Micromonas

T1 & T7 show a dominance of Thalassiosira, whereas T5 is dominated by dinoflagellates

The HPLC point to an uneven dispersion, of the main

phytoplankton phyla

Fig.5. ARISA - metaMDS plot of the transect, sampled in July 2010. The back number refers to the sampling depth (chlorophyll max.).

2

Fig.6. Pyrosequencing - distribution of the abundant biosphere (≥ 1%) along the transect.

T5 T6 T9

T1 T3 T7

23

10 9 24

3 1

9 12

3 2

4

51 26

1 5 8 1 1

3

32

5 26

27 9

1 51

2

2 5 34

3 3

20

3

3 8 4

28 34

1

38

6 2 4 33

6 3 2 4

3

1

Fig.9: ARISA - meta MDS plot of the stations located within the central Arctic Ocean (late summer 2011)

Central Arctic Ocean

280

III

The water samples cluster according to the water mass in which the Laptev Sea shows the highest spreading

Subsequent pyrosequencing of CTD station 207, 212, 218, 227, 235 & 280

The analysis of the three locations confirms the hypothesis that water masses are the driving force in picoplankton dispersal Temperature seems to have a strong emphasis by showing higher

diversity within warmer water masses

Bloom situation as well as ice coverage need to be considered during the evaluation process

I “Hausgarten” (0.4-3.0 µm)

The meta MDS plot (ARISA) shows a similar community

structure within the years 2010 (ArkXXV/2) and 2011 (ArkXXVI/2)

Pyrosequencing points to a higher proportion of dinoflagellates in 2009

whereat 2010 displays a higher proportion of ciliates, hapto- & chlorophytes

Fig.3: ARISA - metaMDS plot of the four “Hausgarten” stations over the years 2009 (blue), 2010 (black) and 2011 (yellow). All samples have been taken in July to reduce seasonal variation. The back number refers to the sampling depth (chlorophyll max.).

2009 2010

47.7

27.2 11.1

0.8 4.3

0.2 8.1 0.7

1.4 0.7

30.3

17.3 14.3

31.5

2.2 2.4

Fig.4. Pyrosequencing - relative abundance of the picoeukaryotes at HG4 in 2009 and 2010

Fig.7. HPLC - distribution of autotrophic phytoplankton along the transect

Fig.8: Map of the central Arctic Ocean presenting samples of further pyrosequencing analysis

The ARISA approach of the central Arctic Ocean displays a

clustering of the stations according to the different water masses.

In this regard the water samples of the Laptev Sea present the highest variation which could be due to varying nutrient supply caused by river and offshore input.

The comparison of the community structure at the “Hausgarten”

over a period of three years point to a different phytoplankton composition in 2009.This strong deviance in 2009 can be

explained by a low annual average temperature and limited

irradiance due to an ice coverage of 50%. Ice floes have the

potential to impair the diversity by releasing implicit phytoplankton species during the melt process. A closer insight into the genetic

diversity of the picoeukaryotes at HG4 confirms the previous

results of the ARISA approach by presenting more dinoflagellates and less autotrophs like chloro- and haptophytes in 2009.

During the study, the area of the EGC was characterized by a

Polynya undergoing dynamic freezing processes. This mirrors the different species distribution at T1,T3 & T5. While the formation

of a stable melt water layer promote the growth of diatoms at T1

we have a post-bloom situation at T5 which has been located along the ice edge for weeks and thus presents a dominance of

dinoflagellates. T3, T6 & T9 display similar species distributions which can be explained i.a. by the hydrodynamic conditions. Some of the inflowing Atlantic Water directly recirculates within the Fram Strait due to the strong topographic steering and thus can lead to similar phytoplankton distribution patterns. The deeper sampling depth at T3 and the high ice coverage at T6 further display harsh

conditions that favour picoplankton species like Micromonas pusilla.

Altogether the highest diversity was observed in the Atlantic Water.

II

III I

W E

Referenzen

ÄHNLICHE DOKUMENTE

To achieve this goal the samples were analyzed with two molecular approaches, 18S rDNA clone libraries and amplification of the ITS1

Based on the accumulation rates of total organic carbon (which includes the marine as well as the terrigenous proportion) (Stein et al., 2001) and the microscopical investigations

Tundra species with amphi-atlantic and west arctic distributions suffered frequent and heavy range losses during cold stages in response to glaciations that ushered in

Seasonal variations in the Arctic Ocean in 2007 were extreme, and variations in the intermediate layers and layer of the Atlantic waters were so significant that we have to put

Currently, nearly all large-scale marine ecosystem models apply the MM equation with constant K s to describe uptake (or growth) rates of phytoplankton as a function of

The changes in the energy budget have implications not only on the Arctic surface climate where the strongly increased latent heat fluxes in winter, spring and autumn lead to

Comparing the two size fractions (0.2- 3.0 µm and 3.0- 10µm) picoplankton reveals a higher diversity. Further the relatively high percentage of Phaeocystis within the pico-

In Chapter 1, we compile congruent findings of sea-ice thickness reduction from various observa- tion platforms, Chapter 2 discusses the impact of the decline of both extent