Research database

Project information
Keywords
Sedimentary DNA, vegetation mapping, point-intercept, biomass
Project title
ECOGEN - Ecosystem change and species persistence over time: a genome-based approach
Year
2018
Project leader
Dilli Prasad Rijal, UiT
Geographical localization of the research project in decimal degrees (max 5 per project, ex. 70,662°N and 23,707°E)
We mapped and sampled surrounding vegetation of 24 lakes in Nordland, Troms, and Finnmark.
Participants

Kari Anne Bråthen (UiT-The Arctic University of Norway)

Kelsey Lorberau (UiT-The Arctic University of Norway)

Leif Einar Støvern (UiT-The Arctic University of Norway)

Jutta Kapfer (Norwegian Institute of Bioeconomy Research-NIBIO)

Flagship
Terrestrial
Funding Source

Fram Centre

NFR

Summary of Results

We hypothesized that the dominant species of the most abundant habitat types in the contributing area of a lake will be the most abundant species in the sedimentary DNA (sedDNA). Furthermore, we hypothesized that species abundance relations in the contributing area will be reflected in the sedDNA.

To address these hypotheses, we aimed to:

  • Assess the contributing area surrounding the ECOGEN lakes,
  • Characterize landscapes and habitat types/vegetation types in the contributing area including species abundances of the most common species and functional groups, and
  • Compare abundances of species in the contemporary vegetation to that of their abundance in the contemporary sedDNA of each lake (as provided by ECOGEN).

Project results

By the end of the summer 2018, point-intercept sampling and vegetation mapping was performed within 200 m perimeter from the lakeshore of 24 lakes in northern Norway (see table 1). A minimum of 48 and a maximum of 277 point-intercept samples were collected for estimating biomass of dominant vegetation growing around each lake. All the lakes mapped in the field were digitized and vegetation maps are prepared.  A few examples of vegetation maps, each from Finnmark, Troms, and Nordland counties, are provided below (figures 1-3).

Fig. 1

 Figure 1 The digitized vegetation map around Nordvivatnet close to Mortensnes in Finnmark. Different colors represent unique vegetation type around the lake. Green circles indicate point-intercept samples

Fig. 2

Figure 2 The digitized vegetation map around Finnvatnet near Grøtjord in Troms. Different colors represent unique vegetation type around the lake. Green circles indicate point-intercept samples.

Fig. 3

Figure 3 The digitized vegetation map around Øvre Æråsvatnet near Andenes in Nordland. Different colors represent unique vegetation type around the lake. Green circles indicate point-intercept samples

Table 1 Geographical coordinates and other location information about the 24 lakes sampled and mapped by ECOGEN

 

SN

Lake name

Location

State

Latitude

Longitude

Perimeter (m)

# point-intercept samples

1

Bearalveaijohka

Jacobselv

Finnmark

70.2740

29.0146

469

133

2

Sierravannet

Alta

Finnmark

69.8447

23.3767

719

183

3

Eastorjavri

Ifjord

Finnmark

70.4331

27.3337

1530

259

4

Pond 4

Komagdalen

Finnmark

70.3357

29.9339

157

72

5

Pond 3

Komagdalen

Finnmark

70.3362

29.9285

211

101

6

Pond 1

Komagdalen

Finnmark

70.3249

29.9516

950

210

7

Nordvivatnet

Mortensnes

Finnmark

70.1331

29.0120

1090

133

8

Horntjernet

Pasvik

Finnmark

69.3492

29.4916

540

164

9

Sandfjorddalen

Komagdalen

Finnmark

70.3602

30.0189

1590

277

10

Guossajávri

Sihccajavri

Finnmark

68.7997

23.5789

985

105

11

Nedre Akslavatnet

Vadsø

Finnmark

70.0740

29.8891

1590

96

12

Nesservatnet

Årøya

Finnmark

70.1357

23.2031

555

125

13

Einletvatnet

Andøya

Nordland

69.2580

16.0710

3060

121

14

Øvre Æråsvatnet

Andøya

Nordland

69.2560

16.0340

2260

144

15

Langfjordvatnet

Arnøya

Troms

70.1503

20.5370

3800

48

16

Gauptjern

Dividalen

Troms

68.8565

19.6184

362

160

17

A-tjern

Dividalen

Troms

68.9960

19.4860

683

81

18

Brennskogtjønna

Dividalen

Troms

68.8590

19.5940

1500

181

19

Rottjern

Dividalen

Troms

68.9830

19.4770

775

98

20

Finnvatnet

Kvaløya

Troms

69.7780

18.6120

407

159

21

Jula Jávri

Kåfjorddalen

Troms

69.3650

21.0990

301

79

22

Paulan Jávri

Kåfjorddalen

Troms

69.3990

21.0150

235

71

23

Leinavatnet

Leinavatnet

Troms

68.4828

19.7323

341

73

24

Kulivatnet

Vågnes

Troms

69.7695

19.2761

873

159

 

Currently, we are in the process of estimating biomass of each dominant species and functional group within each vegetation type using point-intercept samples. After calculating area of each vegetation type, we will be able to estimate biomass per unique vegetation type. We will also estimate biomass for different distance categories (0, 5, 10, 20, 50, 100 m) from lakeshore. Finally, these biomass estimates will be correlated with the sedDNA based results to evaluate whether or not sedDNA captures dominant vegetation growing around each lake. The distance based biomass estimates will be used to test whether or not species and functional groups growing closer to a lake is captured well by sedDNA.   

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Master and PhD-students involved in the project

A PhD student was involved during the fieldwork. Results of this study will significantly improves her PhD project. In addition, she will be one of the co-authors of scientific publication we plan to make.

For the Management

There is no clear message to managers as the results have not been finalized.

Published Results/Planned Publications

Nothing has been published yet. However, a scientific paper will be published in high-ranked scientific journal within 2019-2020.

Communicated Results

Lorberau, Kelsey. 2018. Vegetation Ecology Using Ancient Lake Sedimentary DNA. Crossing the Palaeontological-Ecological Gap (CPEG) Conference 2018, 2018 August 30-31, University of Leeds, UK.

Cristin publications-ID: 1621773, Institution: UIT

Interdisciplinary Cooperation

This was a collaborative project between UiT-The Arctic University of Norway and Norwegian Institute of Bioeconomy Research (NIBIO). We could not have been carried out this project without the involvement of vegetation mapper from NIBIO. This project helped strengthen cooperation between UiT and NIBIO.

Budget in accordance to results

Most of the budget was used as planned in the proposal. The budget allocated for publication and external collaboration were used for digitizing vegetation maps, which was underestimated in the original budget.

Could results from the project be subject for any commercial utilization
No
Conclusions

This project was supposed to provide additional values to ongoing ECOGEN project. As research is still progressing within ECOGEN, no conclusions could be drawn from this study alone.