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Initial community evenness favours functionality under selective stress

Author

Listed:
  • Lieven Wittebolle

    (LabMET, Laboratory of Microbial Ecology & Technology,)

  • Massimo Marzorati

    (LabMET, Laboratory of Microbial Ecology & Technology,)

  • Lieven Clement

    (BIOSTAT, Biometrics and Process Control)

  • Annalisa Balloi

    (DISTAM, Università degli Studi di Milano)

  • Daniele Daffonchio

    (DISTAM, Università degli Studi di Milano)

  • Kim Heylen

    (LM-UGent, Laboratory of Microbiology, Physiology and Microbiology, Ghent University, B-9000 Ghent, Belgium)

  • Paul De Vos

    (LM-UGent, Laboratory of Microbiology, Physiology and Microbiology, Ghent University, B-9000 Ghent, Belgium)

  • Willy Verstraete

    (LabMET, Laboratory of Microbial Ecology & Technology,)

  • Nico Boon

    (LabMET, Laboratory of Microbial Ecology & Technology,)

Abstract

Ecosystem resilience: safety in species evenness It has been established that ecosystem functioning is affected by species richness, but the effect of inequalities in the relative abundances of these species — species unevenness — is less well studied. An investigation of the effect of initial species evenness in more than a thousand microbial microcosms, each containing 18 denitrifying species, now suggests that the more uneven an ecosystem is, the more sensitive it is to environmental stress. The stability of net ecosystem denitrification in the event of salinity stress was greater for communities that started life with high species evenness than for those in which there was extreme dominance by one or a few species.

Suggested Citation

  • Lieven Wittebolle & Massimo Marzorati & Lieven Clement & Annalisa Balloi & Daniele Daffonchio & Kim Heylen & Paul De Vos & Willy Verstraete & Nico Boon, 2009. "Initial community evenness favours functionality under selective stress," Nature, Nature, vol. 458(7238), pages 623-626, April.
    • Handle: RePEc:nat:nature:v:458:y:2009:i:7238:d:10.1038_nature07840
    DOI: 10.1038/nature07840
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    Cited by:

    1. Anna Y. Alekseeva & Anneloes E. Groenenboom & Eddy J. Smid & Sijmen E. Schoustra, 2021. "Eco-Evolutionary Dynamics in Microbial Communities from Spontaneous Fermented Foods," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    2. Yehonatan Givati & Israel Rosenberg, 2020. "How Would Judges Compose Judicial Panels? Theory and Evidence from the Supreme Court of Israel," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 317-341, June.
    3. Roopnarain, Ashira & Rama, Haripriya & Ndaba, Busiswa & Bello-Akinosho, Maryam & Bamuza-Pemu, Emomotimi & Adeleke, Rasheed, 2021. "Unravelling the anaerobic digestion ‘black box’: Biotechnological approaches for process optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. R. Michael Lehman & Cynthia A. Cambardella & Diane E. Stott & Veronica Acosta-Martinez & Daniel K. Manter & Jeffrey S. Buyer & Jude E. Maul & Jeffrey L. Smith & Harold P. Collins & Jonathan J. Halvors, 2015. "Understanding and Enhancing Soil Biological Health: The Solution for Reversing Soil Degradation," Sustainability, MDPI, vol. 7(1), pages 1-40, January.
    5. Peace Liz Sasha Musonge & Pieter Boets & Koen Lock & Minar Naomi Damanik Ambarita & Marie Anne Eurie Forio & Peter L. M. Goethals, 2020. "Rwenzori Score (RS): A Benthic Macroinvertebrate Index for Biomonitoring Rivers and Streams in the Rwenzori Region, Uganda," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    6. Lissa M Barr & Robert L Pressey & Richard A Fuller & Daniel B Segan & Eve McDonald-Madden & Hugh P Possingham, 2011. "A New Way to Measure the World's Protected Area Coverage," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-4, September.
    7. Lei Zhang & Yu Cheng & Guang Gao & Jiahu Jiang, 2019. "Spatial-Temporal Variation of Bacterial Communities in Sediments in Lake Chaohu, a Large, Shallow Eutrophic Lake in China," IJERPH, MDPI, vol. 16(20), pages 1-18, October.
    8. Aisling J. Daly & Jan M. Baetens & Bernard De Baets, 2018. "Ecological Diversity: Measuring the Unmeasurable," Mathematics, MDPI, vol. 6(7), pages 1-28, July.
    9. Shi, Xiaoyu & Shang, Ming-Sheng & Luo, Xin & Khushnood, Abbas & Li, Jian, 2017. "Long-term effects of user preference-oriented recommendation method on the evolution of online system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 490-498.
    10. repec:fan:istois:v:html10.3280/isto2022-045003 is not listed on IDEAS
    11. Chen, Miao & Liu, Shujun & Yuan, Xufeng & Li, Qing X. & Wang, Fengzhong & Xin, Fengjiao & Wen, Boting, 2021. "Methane production and characteristics of the microbial community in the co-digestion of potato pulp waste and dairy manure amended with biochar," Renewable Energy, Elsevier, vol. 163(C), pages 357-367.
    12. Jin Xu & Peifang Wang & Yi Li & Lihua Niu & Zhen Xing, 2019. "Shifts in the Microbial Community of Activated Sludge with Different COD/N Ratios or Dissolved Oxygen Levels in Tibet, China," Sustainability, MDPI, vol. 11(8), pages 1-12, April.
    13. Bogdan Oancea & Dan Pirjol, 2019. "Extremal properties of the Theil and Gini measures of inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 859-869, March.
    14. Shyamal K. De & Bhargab Chattopadhyay, 2017. "Minimum Risk Point Estimation of Gini Index," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 247-277, November.

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