Table 1: Station list with macrobenthos biomass results from the ocean floor


Autoria(s): Klages, Michael; Deubel, Hendrik; Rachor, Eike
Cobertura

MEDIAN LATITUDE: 73.782283 * MEDIAN LONGITUDE: 78.180783 * SOUTH-BOUND LATITUDE: 72.093160 * WEST-BOUND LONGITUDE: 72.662000 * NORTH-BOUND LATITUDE: 76.961783 * EAST-BOUND LONGITUDE: 83.876833 * DATE/TIME START: 1997-09-13T09:08:00 * DATE/TIME END: 2000-09-19T03:35:00 * MINIMUM DEPTH, sediment/rock: 0 m * MAXIMUM DEPTH, sediment/rock: 0 m

Data(s)

21/12/2003

Resumo

Among the Siberian shelf seas the Kara Sea is most strongly influenced by riverine runoff with nearly 1500 km fresh water discharge per year. This fresh water, discharged mainly by Ob and Yenisei, contains about 3.1 * 106 and 4.6 * 106 tons of total organic carbon per year, respectively (Gordeev et al. 1996). Little is known about the relevance of this organic material for biological communities, neither for the Kara Sea nor for the adjacent deep basins of the central Arctic Ocean. Aiming at elucidating the fate of fluvial matter transported from the rivers via estuaries into the central Arctic Ocean and the relative importance of marine organic matter being produced such information is crucial. Here we present calculations on the organic carbon demand of the Kara Sea macrozoobenthos based on measured biomass (total wet weight [ww] per 0.25 m ) from quantitative box corer samples and empirical relationships between biomass, annual production, annual respiration, and carbon remineralisation. This bottom-up approach may serve as a first estimate of the carbon remineralization potential of a given zoobenthos community (or area) as long as no data on in situ respiration rates are available. Our data basis comprises 54 stations sampled in summer seasons 1997, 1999 and 2000 in the Kara Sea at water depths between 10 and 68 m. The geographical area represented by stations analysed covers roughly 178 000 km**2, which is about one fifth of the total Kara Sea area. In this area, 290 species of invertebrate macrozoobenthos were identified with polychaeta, Crustacea, mollusca and echinodermata being the most abundant. For all stations analysed, mean biomass values ranged between 4.3 and 778.1 g ww/m**2 with organic carbon demands between 3.5 and 43.2 mg C/m**2/d. For the area of 178 000 km2 a preliminary total consumption of 1.4 * 10**6t Corg/y (equivalent to 21.5 mg C/m**2/d) was calculated for the macrozoobenthos. An extrapolation of our data would lead to an annual carbon demand of about 5-7 * 106 t for the whole Kara Sea macrozoobenthos (or 15.5-21.7 mg C/m2/d).

Formato

text/tab-separated-values, 323 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.804553

doi:10.1594/PANGAEA.804553

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Klages, Michael; Deubel, Hendrik; Rachor, Eike (2003): Organic carbon consumption of the Kara Sea macrozoobenthos: A first assessment. In: Stein, R; Fahl, K; Fütterer, D K; Galimov, E M & Stepanets, O V (eds.), Siberian River Run-off in the Kara Sea: Characterisation, Quantification, Variability, and Environmental Significance, 488 pp. Proceedings in Marine Sciences, Elsevier, Amsterdam, 6, 267-280

Palavras-Chave #Akademik Boris Petrov; Biomass, ash free dry mass per area; BP00; BP00-04; BP00-05; BP00-06; BP00-07; BP00-09; BP00-13; BP00-22; BP00-23; BP00-26; BP00-28; BP00-30; BP00-31; BP00-35; BP00-36; BP97; BP97-01; BP97-10; BP97-12; BP97-17; BP97-18; BP97-21; BP97-24; BP97-27; BP97-30; BP97-32; BP97-38; BP97-42; BP97-43; BP97-46; BP97-47; BP97-48; BP97-49; BP97-50; BP97-52; BP97-55; BP97-56; BP97-58; BP99; BP99-02; BP99-03; BP99-08; BP99-12; BP99-13; BP99-17; BP99-18; BP99-19; BP99-20; BP99-25; BP99-28; BP99-29; BP99-30; BP99-31; BP99-32; BP99-35; BP99-38; BP99-39; BUCKET; Bucket water sampling; DEPTH, sediment/rock; DIVERSE; Elevation of event; Event label; Kara Sea; KaraSea97; Latitude of event; Longitude of event; Macrofauna, biomass, wet mass; MULT; Multiple investigations; Organic carbon consumption rate, sediment; Salinity; Sample ID; Sampling gear, diverse; Siberian River Run-Off; SIRRO; Temperature, water
Tipo

Dataset