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Anthropogenic carbon as a basal resource in the benthic food webs in the Neva Estuary (Baltic Sea).
Mar Pollut Bull. 2019 Sep; 146:190-200
Publication Type
Journal Article
Sergey M Golubkov
Mikhail S Golubkov
Alexei V Tiunov
Author Affiliation
Zoological Institute of Russian Academy of Sciences, Universitetskaya emb. 1, Saint-Petersburg 199034, Russian Federation. Electronic address:
Mar Pollut Bull. 2019 Sep; 146:190-200
Publication Type
Journal Article
Bayes Theorem
Carbon - metabolism
Carbon Isotopes - analysis
Food chain
Models, Theoretical
Nitrogen Isotopes - analysis
Oceans and Seas
Waste Water - chemistry
Organic pollution is a serious environmental problem for the coastal zones of seas. The study tested the hypothesis that allochthonous organic carbon derived from St. Petersburg wastewaters is a significant basal resource of carbon for the benthic food webs. We analyzed stable isotope composition of carbon and nitrogen in suspended organic matter in the Neva Estuary and in the tissues of macroinvertebrates and fish. The Stable Isotope Bayesian mixing model showed that waste waters were an important source of carbon for the most of consumers in the Neva Estuary. The autochthonous carbon produced by phytoplankton was a significant source of carbon only for some macroinvertebrates. The main consumers of the carbon derived from waste waters were tubificid worms, chironomid larvae and alien polychaete, which currently dominate in the zoobenthos of the estuary. These species replaced the former dominants, native crustaceans, which to a lesser extent use anthropogenic carbon.
PubMed ID
31426146 View in PubMed
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Soil nematode abundance and functional group composition at a global scale.
Nature. 2019 Aug; 572(7768):194-198
Publication Type
Journal Article
Johan van den Hoogen
Stefan Geisen
Devin Routh
Howard Ferris
Walter Traunspurger
David A Wardle
Ron G M de Goede
Byron J Adams
Wasim Ahmad
Walter S Andriuzzi
Richard D Bardgett
Michael Bonkowski
Raquel Campos-Herrera
Juvenil E Cares
Tancredi Caruso
Larissa de Brito Caixeta
Xiaoyun Chen
Sofia R Costa
Rachel Creamer
José Mauro da Cunha Castro
Marie Dam
Djibril Djigal
Miguel Escuer
Bryan S Griffiths
Carmen Gutiérrez
Karin Hohberg
Daria Kalinkina
Paul Kardol
Alan Kergunteuil
Gerard Korthals
Valentyna Krashevska
Alexey A Kudrin
Qi Li
Wenju Liang
Matthew Magilton
Mariette Marais
José Antonio Rodríguez Martín
Elizaveta Matveeva
El Hassan Mayad
Christian Mulder
Peter Mullin
Roy Neilson
T A Duong Nguyen
Uffe N Nielsen
Hiroaki Okada
Juan Emilio Palomares Rius
Kaiwen Pan
Vlada Peneva
Loïc Pellissier
Julio Carlos Pereira da Silva
Camille Pitteloud
Thomas O Powers
Kirsten Powers
Casper W Quist
Sergio Rasmann
Sara Sánchez Moreno
Stefan Scheu
Heikki Setälä
Anna Sushchuk
Alexei V Tiunov
Jean Trap
Wim van der Putten
Mette Vestergård
Cecile Villenave
Lieven Waeyenberge
Diana H Wall
Rutger Wilschut
Daniel G Wright
Jiue-In Yang
Thomas Ward Crowther
Author Affiliation
Department of Environmental Systems Science, Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
Nature. 2019 Aug; 572(7768):194-198
Publication Type
Journal Article
Soil organisms are a crucial part of the terrestrial biosphere. Despite their importance for ecosystem functioning, few quantitative, spatially explicit models of the active belowground community currently exist. In particular, nematodes are the most abundant animals on Earth, filling all trophic levels in the soil food web. Here we use 6,759 georeferenced samples to generate a mechanistic understanding of the patterns of the global abundance of nematodes in the soil and the composition of their functional groups. The resulting maps show that 4.4 ± 0.64 × 1020 nematodes (with a total biomass of approximately 0.3 gigatonnes) inhabit surface soils across the world, with higher abundances in sub-Arctic regions (38% of total) than in temperate (24%) or tropical (21%) regions. Regional variations in these global trends also provide insights into local patterns of soil fertility and functioning. These high-resolution models provide the first steps towards representing soil ecological processes in global biogeochemical models and will enable the prediction of elemental cycling under current and future climate scenarios.
PubMed ID
31341281 View in PubMed
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