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KEYLINK: towards a more integrative soil representation for inclusion in ecosystem scale models—II: model description, implementation and testing
- Source :
- Addi. Archivo Digital para la Docencia y la Investigación, instname, PeerJ 9, e10707-(2021). doi:10.7717/peerj.10707, Digital.CSIC. Repositorio Institucional del CSIC, PeerJ, Addi: Archivo Digital para la Docencia y la Investigación, Universidad del País Vasco
- Publication Year :
- 2021
- Publisher :
- PeerJ, 2021.
-
Abstract
- New knowledge on soil structure highlights its importance for hydrology and soil organic matter (SOM) stabilization, which however remains neglected in many wide used models. We present here a new model, KEYLINK, in which soil structure is integrated with the existing concepts on SOM pools, and elements from food web models, that is, those from direct trophic interactions among soil organisms. KEYLINK is, therefore, an attempt to integrate soil functional diversity and food webs in predictions of soil carbon (C) and soil water balances. We present a selection of equations that can be used for most models as well as basic parameter intervals, for example, key pools, functional groups’ biomasses and growth rates. Parameter distributions can be determined with Bayesian calibration, and here an example is presented for food web growth rate parameters for a pine forest in Belgium. We show how these added equations can improve the functioning of the model in describing known phenomena. For this, five test cases are given as simulation examples: changing the input litter quality (recalcitrance and carbon to nitrogen ratio), excluding predators, increasing pH and changing initial soil porosity. These results overall show how KEYLINK is able to simulate the known effects of these parameters and can simulate the linked effects of biopore formation, hydrology and aggregation on soil functioning. Furthermore, the results show an important trophic cascade effect of predation on the complete C cycle with repercussions on the soil structure as ecosystem engineers are predated, and on SOM turnover when predation on fungivore and bacterivore populations are reduced. In summary, KEYLINK shows how soil functional diversity and trophic organization and their role in C and water cycling in soils should be considered in order to improve our predictions on C sequestration and C emissions from soils.<br />This article is based upon work from COST Actions FP1305 (BioLink) and ES1406 (KEYSOM), supported by COST (European Cooperation in Science and Technology), and their Short Term Scientific Mission (STSM) programs. Omar Flores’ work was funded by FPU PhD grant program of the Spanish Ministry of Science, Innovation and Universities. Jorge Curiel Yuste received funding from the Spanish Ministry of Economy and Competitiveness (MINECO) under projects IBERYCA (CGL2017-84723-P) and the BC3 María de Maeztu excellence accreditation (MDM-2017-0714). Jorge Curiel Yuste also received funding from the Basque Government through the BERC 2018-2021 program.<br />We also acknowledge institutional support from the Unit of Information Resources for Research at the Unit of Information Resources for Research at the "Consejo Superior de Investigaciones Científicas" (CSIC) for the article-processing charges contribution.
- Subjects :
- 010504 meteorology & atmospheric sciences
Ecosystem models
Soil Science
Soil science
Ecosystem Science
01 natural sciences
General Biochemistry, Genetics and Molecular Biology
Soil food web
Growth rates
Soil structure
Ecosystem
ddc:610
Trophic cascade
0105 earth and related environmental sciences
Trophic level
2. Zero hunger
Soil matrix
Soil organic matter
Ecology
Trophic cascades
General Neuroscience
Computational Biology
04 agricultural and veterinary sciences
General Medicine
Soil carbon
Biogeochemistry
15. Life on land
13. Climate action
Soil water
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Environmental science
Ecosystem engineering
Predator exclusion
Hydrology
General Agricultural and Biological Sciences
Engineering sciences. Technology
Subjects
Details
- Language :
- English
- ISSN :
- 21678359
- Database :
- OpenAIRE
- Journal :
- Addi. Archivo Digital para la Docencia y la Investigación, instname, PeerJ 9, e10707-(2021). doi:10.7717/peerj.10707, Digital.CSIC. Repositorio Institucional del CSIC, PeerJ, Addi: Archivo Digital para la Docencia y la Investigación, Universidad del País Vasco
- Accession number :
- edsair.doi.dedup.....c0354c3fdd46c66f752f6acfcb66bb2a
- Full Text :
- https://doi.org/10.7717/peerj.10707