Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
Titel (primär) Modelling functional resilience of microbial ecosystems: Analysis of governing processes
Autor König, S.; Worrich, A.; Centler, F.; Wick, L.Y.; Miltner, A.; Kästner, M.; Thullner, M.; Frank, K.; Banitz, T.;
Journal / Serie Environmental Modelling & Software
Erscheinungsjahr 2017
Department OESA; UMB; UBT; iDiv;
Band/Volume 89
Sprache englisch;
POF III (gesamt) T41;
Keywords Microbial ecosystem functions; Functional stability; Recovery; Simulation model; Bacterial degradation; Spatial heterogeneity
UFZ Querschnittsthemen RU3
Abstract

Functional stability of microbial ecosystems subjected to disturbances is essential for maintaining microbial ecosystem services such as the biodegradation of organic contaminants in terrestrial environments. Functional responses to disturbances are thus an important aspect which is, however, not well understood yet. Here, we present a microbial simulation model to investigate key processes for the recovery of biodegradation. We simulated single disturbances with different spatiotemporal characteristics and monitored subsequent recovery of the biodegradation dynamics. After less intense disturbance events local regrowth governs biodegradation recovery. After highly intense disturbance events the disturbance pattern's spatial configuration is decisive and processes governing local functional recovery vary depending on habitat location with respect to the spatial disturbance pattern. Local regrowth may be unimportant when bacterial dispersal from undisturbed habitats is high. Hence, our results suggest that spatial dynamics are crucial for the robust delivery of the ecosystem service biodegradation under disturbances in terrestrial environments.

ID 18254
dauerhafte UFZ-Verlinkung http://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18254
König, S., Worrich, A., Centler, F., Wick, L.Y., Miltner, A., Kästner, M., Thullner, M., Frank, K., Banitz, T. (2017):
Modelling functional resilience of microbial ecosystems: Analysis of governing processes
Environ. Modell. Softw. 89 , 31 - 39