Natural Resource Potential of Macroalgae Harvesting in the Baltic Sea—Case Study Trelleborg, Sweden

Risén, Emma; Pechsiri, Joseph Santhi; Malmström, Mikael; Brandt, Nils; Gröndahl, Fredrik

doi:10.1002/9781118496480.ch6

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…In a first step, we convert these different units into wet weight/carbon per area or volume. 2001, 2009-2011, and 2014-2015 (literature-based review covering 1977-2011) 60 Schneider et al, 2003;Nausch et al, 2006;Gustafsson et al, 2014;Maciejewska and Pempkowiak, 2014;Hoikkala et al, 2015;Szymczycha et al, 2017 2001, 2009-2011, 2013-2016, and 1993-2005 59 Andersson and Rudehäll, 1993;Donali et al, 1999;Schneider et al, 2003;Nausch et al, 2006;Maciejewska and Pempkowiak, 2014;Szymczycha et al, 2017;Cisternas-Novoa et al, 2019;Winogradow et al, 2019 1983-1984and 198731 Virtanen, 1985Gast and Gocke, 1988;Heinänen, 1991 1976, 2010-2011, and 2012-2014 (literature-based review covering 1990-2010) 49 aboveground Kautsky et al, 1981;Risén et al, 2013;Boström et al, 2014;Jankowska et al, 2014Jankowska et al, , 2015Jankowska et al, , 2016Dahl et al, 2016;Röhr et al, 2016 1991, 199525 Sveegaard, 2011Benke et al, 2014 We divide all absolute values by associated areas (benthos and fish) or sampl...…”

Section: Data Formattingmentioning

confidence: 99%

Quantifying Contemporary Organic Carbon Stocks of the Baltic Sea Ecosystem

Scheffold

Hense

2020

Front. Mar. Sci.

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The identification of carbon pools and the quantification of carbon stocks is necessary to (1) track changes in ecosystem dynamics, (2) inform science-based ecosystem and blue-carbon management, and (3) evaluate ecosystem and food web models. However, estimates of organic carbon stocks in marine ecosystems are incomplete or inconsistent. Therefore, we provide a first consistent estimate of relevant organic carbon stocks of a distinct marine ecosystem- the Baltic Sea. We estimate its contemporary standing stocks of 18 non-living and living organic carbon pools using data from literature and open-access databases. In contrast to existing data, our estimates are valid for the entire Baltic Sea, include necessary pools and are verifiable, as we describe data sources, methods and the associated uncertainties in detail to allow reproduction and critical evaluation. The total organic carbon (TOC) in the Baltic Sea ecosystem amounts to 1,050 ± 90 gC/m2 (440 ± 40 Mt). The non-living stocks account for about 98.8% and the living stocks for 1.2% of the TOC. Our estimates indicate that benthos has the highest living organic carbon stock and that the stock of particulate organic carbon (POC) has been underestimated in some previous studies. In addition, we find a partially inverted biomass distribution with a higher stock of primary consumers than primary producers. Our estimates provide a baseline of the size and distribution of the organic carbon in the Baltic Sea for the current period. Analyses of inorganic carbon stocks and the interplay between inorganic and organic stocks must follow to further define the baseline of total carbon stocks in the Baltic Sea.

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Section: Data Formattingmentioning

confidence: 99%

Quantifying Contemporary Organic Carbon Stocks of the Baltic Sea Ecosystem

Scheffold

Hense

2020

Front. Mar. Sci.

View full text Add to dashboard Cite

show abstract

“…In a first step, we convert these different units into wet weight/carbon per area or volume. 2001, 2009-2011, and 2014-2015 (literature-based review covering 1977-2011) 60 Schneider et al, 2003;Nausch et al, 2006;Gustafsson et al, 2014;Maciejewska and Pempkowiak, 2014;Hoikkala et al, 2015;Szymczycha et al, 2017 POC 2001, 2009-2011, 2013-2016, and 1993-2005 59 Andersson and Rudehäll, 1993;Donali et al, 1999;Schneider et al, 2003;Nausch et al, 2006;Maciejewska and Pempkowiak, 2014;Szymczycha et al, 2017;Cisternas-Novoa et al, 2019;Winogradow et al, 2019 1983-1984and 198731 Virtanen, 1985Gast and Gocke, 1988;Heinänen, 1991 Proto zooplankton mgWW 1976, 2010-2011, and 2012-2014 (literature-based review covering 1990-2010) 49 aboveground Kautsky et al, 1981;Risén et al, 2013;Boström et al, 2014;Jankowska et al, 2014Jankowska et al, , 2015Jankowska et al, , 2016Dahl et al, 2016;Röhr et al, 2016 1991, 199525 Sveegaard, 2011Benke et al, 2014 We divide all absolute values by associated areas ...…”

Section: Data Formattingmentioning

confidence: 99%