6
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Synthetic soil crusts against green-desert transitions: a spatial model

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Semiarid ecosystems are threatened by global warming due to longer dehydration times and increasing soil degradation. Mounting evidence indicates that, given the current trends, drylands are likely to expand and possibly experience catastrophic shifts from vegetated to desert states. Here, we explore a recent suggestion based on the concept of ecosystem terraformation, where a synthetic organism is used to counterbalance some of the nonlinear effects causing the presence of such tipping points. Using an explicit spatial model incorporating facilitation and considering a simplification of states found in semiarid ecosystems including vegetation, fertile and desert soil, we investigate how engineered microorganisms can shape the fate of these ecosystems. Specifically, two different, but complementary, terraformation strategies are proposed: Cooperation-based: C-terraformation; and Dispersion-based: D-terraformation. The first strategy involves the use of soil synthetic microorganisms to introduce cooperative loops (facilitation) with the vegetation. The second one involves the introduction of engineered microorganisms improving their dispersal capacity, thus facilitating the transition from desert to fertile soil. We show that small modifications enhancing cooperative loops can effectively modify the aridity level of the critical transition found at increasing soil degradation rates, also identifying a stronger protection against soil degradation by using the D-terraformation strategy. The same results are found in a mean-field model providing insights into the transitions and dynamics tied to these terraformation strategies. The potential consequences and extensions of these models are discussed.

          Related collections

          Most cited references54

          • Record: found
          • Abstract: found
          • Article: not found

          Approaching a state shift in Earth's biosphere.

          Localized ecological systems are known to shift abruptly and irreversibly from one state to another when they are forced across critical thresholds. Here we review evidence that the global ecosystem as a whole can react in the same way and is approaching a planetary-scale critical transition as a result of human influence. The plausibility of a planetary-scale 'tipping point' highlights the need to improve biological forecasting by detecting early warning signs of critical transitions on global as well as local scales, and by detecting feedbacks that promote such transitions. It is also necessary to address root causes of how humans are forcing biological changes.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Climate tipping points — too risky to bet against

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Ecological networks and their fragility.

              Darwin used the metaphor of a 'tangled bank' to describe the complex interactions between species. Those interactions are varied: they can be antagonistic ones involving predation, herbivory and parasitism, or mutualistic ones, such as those involving the pollination of flowers by insects. Moreover, the metaphor hints that the interactions may be complex to the point of being impossible to understand. All interactions can be visualized as ecological networks, in which species are linked together, either directly or indirectly through intermediate species. Ecological networks, although complex, have well defined patterns that both illuminate the ecological mechanisms underlying them and promise a better understanding of the relationship between complexity and ecological stability.
                Bookmark

                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society
                2054-5703
                August 2020
                26 August 2020
                26 August 2020
                : 7
                : 8
                : 200161
                Affiliations
                [1 ]ICREA-Complex Systems Lab, Universitat Pompeu Fabra , 08003 Barcelona, Spain
                [2 ]Institut de Biologia Evolutiva (CSIC-UPF), Psg. Maritim Barceloneta, 37, 08003 Barcelona, Spain
                [3 ]Centre de Recerca Matemàtica, Edifici C , Campus de Bellaterra, 08193 Cerdanyola del Vallès, Bellaterra, Barcelona, Spain
                [4 ]Barcelona Graduate School of Mathematics (BGSMath), Edifici C , Campus de Bellaterra, 08193 Cerdanyola del Vallès, Bellaterra, Barcelona, Spain
                [5 ]Santa Fe Institute , 1399 Hyde Park Road, Santa Fe NM 87501, USA
                Author notes
                Author for correspondence: Ricard V. Solé e-mail: ricard.sole@ 123456upf.edu

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5082867.

                Author information
                http://orcid.org/0000-0002-4819-7047
                http://orcid.org/0000-0001-7225-5158
                http://orcid.org/0000-0001-6974-1008
                Article
                rsos200161
                10.1098/rsos.200161
                7481726
                6fd5cfd6-0b06-4561-8acf-a84ba710daff
                © 2020 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 5 February 2020
                : 22 July 2020
                Funding
                Funded by: Santa Fe Institute, http://dx.doi.org/10.13039/100011419;
                Award ID: SFI
                Funded by: Ministerio de Ciencia e Innovación, http://dx.doi.org/10.13039/501100004837;
                Award ID: FIS2015- 67616-P
                Award ID: MTM2015-71509-C2-1-R
                Funded by: Agencia Estatal de Investigación;
                Award ID: RTI2018-098322-B-I00
                Award ID: RYC-2017-22243
                Funded by: European Commission, http://dx.doi.org/10.13039/501100000780;
                Award ID: PR01018-EC-H2020-FET-Open MADONNA
                Funded by: FP7 Ideas: European Research Council, http://dx.doi.org/10.13039/100011199;
                Award ID: SYNCOM
                Funded by: Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya, http://dx.doi.org/10.13039/501100002943;
                Award ID: Generalitat
                Funded by: Departament d'Universitats, Recerca i Societat de la Informació, http://dx.doi.org/10.13039/501100006531;
                Award ID: CERCA Programme
                Funded by: Botin Foundation;
                Award ID: Banco Santander
                Categories
                1001
                18
                60
                179
                Ecology, Conservation, and Global Change Biology
                Research Article
                Custom metadata
                August, 2020

                synthetic biology,ecological engineering,climate change,catastrophic shifts,mutualism,synthetic ecology

                Comments

                Comment on this article