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Ecosystems provide multiple services upon which humans depend. Understanding the drivers of the ecosystem functions that support these services is therefore important. Much research has investigated how species richness influences functioning, but we lack knowledge of how other community attributes affect ecosystem functioning. Species evenness, species spatial arrangement, and the identity of dominant species are three attributes that could affect ecosystem functioning, by altering the relative abundance of functional traits and the probability of synergistic species interactions such as facilitation and complementary resource use. We tested the effect of these three community attributes and their interactions on ecosystem functions over a growing season, using model grassland communities consisting of three plant species from three functional groups: a grass (Anthoxanthum odoratum), a forb (Plantago lanceolata), and a N-fixing forb (Lotus corniculatus). We measured multiple ecosystem functions that support ecosystem services, including ecosystem gas exchange, water retention, C and N loss in leachates, and plant biomass production. Species evenness and dominant species identity strongly influenced the ecosystem functions measured, but spatial arrangement had few effects. By the end of the growing season, evenness consistently enhanced ecosystem functioning and this effect occurred regardless of dominant species identity. The identity of the dominant species under which the highest level of functioning was attained varied across the growing season. Spatial arrangement had the weakest effect on functioning, but interacted with dominant species identity to affect some functions. Our results highlight the importance of understanding the role of multiple community attributes in driving ecosystem functioning.
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http://dx.doi.org/10.1007/s00442-013-2814-5 | DOI Listing |
Chaos
September 2025
School of Engineering, University of Applied Sciences of Western Switzerland HES-SO, CH-1950 Sion, Switzerland.
We investigate species-rich mathematical models of ecosystems. While much of the existing literature focuses on the properties of equilibrium fixed-points, persistent dynamics (e.g.
View Article and Find Full Text PDFAm J Bot
September 2025
Shandong Key Laboratory of Eco-Environmental Science for Yellow River Delta, Shandong University of Aeronautics, Binzhou, Shandong, China.
Premise: The diversity-invasibility hypothesis suggests that native plant communities with high species diversity are more resistant to invasions by exotic species compared to those with fewer species. This resistance stems from more complete resource use and stronger biotic interactions in diverse communities, which limit opportunities for invaders to establish. However, this resistance could potentially be weakened by environmental stressors, including elevated tropospheric ozone.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Materials Science and Engineering, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.
LiNiMnO (LNMO) is a promising material for the cathode of lithium-ion batteries (LiBs); however, its high operating voltage causes stability issues when used with carbonate battery electrolytes. Ionic liquids are a viable alternative to conventional carbonate solvents due to their thermal stability and electrochemical window. This work reports the performance of LNMO/Li half cells with an ionic liquid electrolyte (ILE) composed of 0.
View Article and Find Full Text PDFmBio
September 2025
Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas, USA.
bacteria exhibit a range of relationships with aphids. They may be co-obligate mutualists, commensals, or even pathogens depending on the strain, aphid host species, and environment. CWBI-2.
View Article and Find Full Text PDFMicrobiol Spectr
September 2025
Department of Diagnostic Medicine and Pathobiology, Kansas State University, , Manhattan, Kansas, USA.
Liver abscesses (LA) in cattle are a polymicrobial infection, and the major bacterial pathogens associated are as follows: subsp. (FNN), subsp. (FNF), (TP), and (SE).
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