Global distributions of diazotrophs Gamma-A nifH genes abundance - Depth integrated values computed from a collection of source datasets - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types, supplement to: Luo, Yawei; Doney, Scott C; Anderson, L A; Benavides, Mar; Berman-Frank, I; Bode, Antonio; Bonnet, S; Boström, Kjärstin H; Böttjer, D; Capone, D G; Carpenter, E J; Chen, Yaw-Lin; Church, Matthew J; Dore, John E; Falcón, Luisa I; Fernández, A; Foster, R A; Furuya, Ken; Gomez, Fernando; Gundersen, Kjell; Hynes, Annette M; Karl, David Michael; Kitajima, Satoshi; Langlois, Rebecca; LaRoche, Julie; Letelier, Ricardo M; Marañón, Emilio; McGillicuddy Jr, Dennis J; Moisander, Pia H; Moore, C Mark; Mouriño-Carballido, Beatriz; Mulholland, Margaret R; Needoba, Joseph A; Orcutt, Karen M; Poulton, Alex J; Rahav, Eyal; Raimbault, Patrick; Rees, Andrew; Riemann, Lasse; Shiozaki, Takuhei; Subramaniam, Ajit; Tyrrell, Toby; Turk-Kubo, Kendra A; Varela, Manuel; Villareal, Tracy A; Webb, Eric A; White, Angelicque E; Wu, Jingfeng; Zehr, Jonathan P (2012): Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates. Earth System Science Data, 4, 47-73

DOI

The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedented global data set for ecological and biochemical analysis and modeling as well as a clear mandate for compiling additional existing data and for focusing future data gathering efforts on key groups in key areas of the ocean.

Identifier
DOI http://dx.doi.org/doi:10.1594/PANGAEA.818208
Metadata Access http://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite3&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.818208
Provenance
Creator Moore, C Mark;Bonnet, S;Subramaniam, Ajit;Letelier, Ricardo M;Doney, Scott C;Mouriño-Carballido, Beatriz;Turk-Kubo, Kendra A;Berman-Frank, I;Hynes, Annette M;Needoba, Joseph A;Church, Matthew J;Fernández, A;Gundersen, Kjell;Furuya, Ken;McGillicuddy Jr, Dennis J;Luo, Yawei;White, Angelicque E;Orcutt, Karen M;Böttjer, D;Rahav, Eyal;LaRoche, Julie;Raimbault, Patrick;Zehr, Jonathan P;Marañón, Emilio;Riemann, Lasse;Mulholland, Margaret R;Chen, Yaw-Lin;Tyrrell, Toby;Falcón, Luisa I;Capone, D G;Rees, Andrew;Foster, R A;Webb, Eric A;Boström, Kjärstin H;Kitajima, Satoshi;Gomez, Fernando;Shiozaki, Takuhei;Benavides, Mar;Anderson, L A;Villareal, Tracy A;Poulton, Alex J;Bode, Antonio;Langlois, Rebecca;Dore, John E;Karl, David Michael;Varela, Manuel;Moisander, Pia H;Carpenter, E J;Wu, Jingfeng
Publisher PANGAEA - Data Publisher for Earth & Environmental Science
Publication Year 2013
Rights Creative Commons Attribution 3.0 Unported (CC-BY)
Representation
Language English
Resource Type Supplementary Dataset
Format text/tab-separated-values
Discipline Earth System Research
Spatial Coverage (30S-42N,2 E-13W)
Temporal Point 2001-09-07T11:59:59Z