Soil fauna: key to new carbon models
Autor: | Alexei V. Tiunov, Diana H. Wall, Juan J. Jiménez, Matty P. Berg, Lijbert Brussaard, Patrick Lavelle, Jack H. Faber, Gerlinde B. De Deyn, Alexei V. Uvarov, Juliane Filser, Jan Frouz, Pascal Querner, H.J.P. Eijsackers, Michel Loreau |
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Přispěvatelé: | University of Bremen, Wageningen Environmental Research (Alterra), Computing Centre of the Russian Academy of Sciences (CCRAS), Russian Academy of Sciences [Moscow] (RAS), Wageningen University and Research [Wageningen] (WUR), Computer Science Institute of Charles University [Prague] (IUUK), Charles University [Prague] (CU), Vrije Universiteit Amsterdam [Amsterdam] (VU), Université Pierre et Marie Curie - Paris 6 (UPMC), Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), DEPARTMENT OF BIOLOGY COLORADO STATE UNIVERSITY FORT COLLINS COLORADO USA, Colorado State University [Fort Collins] (CSU), UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES VIENNA AUS, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), WUR - Wageningen University and Research Centre [Wageningen], Fundación Agencia Aragonesa para la Investigación y el Desarrollo (ARAID), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), European Commission, European Cooperation in Science and Technology |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
[SDV]Life Sciences [q-bio] Soil biology Soil Science Carbon sequestration Wetenschappelijke Adviesraad 010603 evolutionary biology 01 natural sciences Soil fauna Ecosystem services Environmental protection Soil functions SDG 13 - Climate Action Life Science lcsh:Environmental sciences Bodembiologie lcsh:GE1-350 2. Zero hunger Ecology Soil organic matter lcsh:QE1-996.5 04 agricultural and veterinary sciences Soil Biology 15. Life on land PE&RC lcsh:Geology 13. Climate action [SDE]Environmental Sciences Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Dierecologie carbon models Animal Ecology Soil fertility Bioturbation |
Zdroj: | SOIL, 2, 565-582 Filser, J, Faber, J H, Tiunov, A V, Brussaard, L, Frouz, J, De Deyn, G, Uvarov, A V, Berg, M P, Lavelle, P, Loreau, M, Wall, D H, Querner, P, Eijsackers, H & Jiménez, J J 2016, ' Soil fauna : Key to new carbon models ', Soil, vol. 2, no. 4, pp. 565-582 . https://doi.org/10.5194/soil-2016-19 SOIL 2 (2016) Soil Soil, European Geosciences Union (EGU), 2016, 2 (4), pp.565-582. ⟨10.5194/soil-2-565-2016⟩ Soil, 2016, 2 (4), pp.565-582. ⟨10.5194/soil-2-565-2016⟩ Digital.CSIC. Repositorio Institucional del CSIC instname SOIL, Vol 2, Iss 4, Pp 565-582 (2016) |
ISSN: | 2199-3971 2199-398X |
DOI: | 10.5194/soil-2016-19 |
Popis: | Filser, Juliane et. al.- 18 páginas .- Ilustraciones.- © Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License. Soil organic matter (SOM) is key to maintaining soil fertility, mitigating climate change, combatting land degradation, and conserving above- and below-ground biodiversity and associated soil processes and ecosystem services. In order to derive management options for maintaining these essential services provided by soils, policy makers depend on robust, predictive models identifying key drivers of SOM dynamics. Existing SOM models and suggested guidelines for future SOM modelling are defined mostly in terms of plant residue quality and input and microbial decomposition, overlooking the significant regulation provided by soil fauna. The fauna controls almost any aspect of organic matter turnover, foremost by regulating the activity and functional composition of soil microorganisms and their physical–chemical connectivity with soil organic matter. We demonstrate a very strong impact of soil animals on carbon turnover, increasing or decreasing it by several dozen percent, sometimes even turning C sinks into C sources or vice versa. This is demonstrated not only for earthworms and other larger invertebrates but also for smaller fauna such as Collembola. We suggest that inclusion of soil animal activities (plant residue consumption and bioturbation altering the formation, depth, hydraulic properties and physical heterogeneity of soils) can fundamentally affect the predictive outcome of SOM models. Understanding direct and indirect impacts of soil fauna on nutrient availability, carbon sequestration, greenhouse gas emissions and plant growth is key to the understanding of SOM dynamics in the context of global carbon cycling models. We argue that explicit consideration of soil fauna is essential to make realistic modelling predictions on SOM dynamics and to detect expected non-linear responses of SOM dynamics to global change. We present a decision framework, to be further developed through the activities of KEYSOM, a European COST Action, for when mechanistic SOM models include soil fauna. The research activities of KEYSOM, such as field experiments and literature reviews, together with dialogue between empiricists and modellers, will inform how this is to be done. This paper is a contribution to the COST Action ES1406 (KEYSOM) lead by the first and last author. A lot of the writing was inspired by the lively discussions within the workshop meetings of KEYSOM – thanks to all contributors! We thank the COST Association for financially supporting collaboration and networking activities across Europe. The article processing charges for this open-access publication were covered by the University of Bremen. |
Databáze: | OpenAIRE |
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