Abstract
Co-culture systems can address food security issues by sustainably intensifying production of crops and animal protein without requiring additional land area. We show how a graph-theoretic optimization model based on ecological network analysis can determine robust co-culture strategies by controlling the presence of key species. Results of simulations on a hybrid rice and crayfish production system indicate that comparable levels of productivity can be achieved with different ecological network structures.
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Data availability
Data used in the analysis can be obtained via https://github.com/EcologicalP-Graph/Optimal-rice-crayfish-co-culture-system-/find/main.
Code availability
The software P-graph Studio (v.5.2.2.2) is hosted by the Department of Computer Science and Systems Technology at the University of Pannonia in Hungary21. It is available free of charge for research purposes via www.p-graph.org. The current v.5.2.2.2 runs in Microsoft Windows. The following specifications are required: Microsoft.NET Framework 4.5.1 (x86 and x64) and Windows Installer 4.5. Interested readers can replicate or modify our results using the P-graph Studio model file accessible via https://github.com/EcologicalP-Graph/Optimal-rice-crayfish-co-culture-system-/find/main.
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Acknowledgements
The research contributions from H.C. were done under the National Research, Development and Innovation Office (NKFIH), NKFIH Identifier: 135854.
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H. C. and R.R.T. conceived the study. K.B.A. developed the model. A.R.L. created the graphics. All authors analysed the data, wrote the article and did the revisions.
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Nature Sustainability thanks Igor Linkov, Shweta Singh and David Styles for their contribution to the peer review of this work.
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The Supplementary Information contains complete information on the 60 different ecosystem structures that were studied in this work, including Tables 1–15 and Figs. 1–12.
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Lao, A.R., Aviso, K.B., Cabezas, H. et al. Maintaining the productivity of co-culture systems in the face of environmental change. Nat Sustain 5, 749–752 (2022). https://doi.org/10.1038/s41893-022-00912-w
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DOI: https://doi.org/10.1038/s41893-022-00912-w
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