TY - JOUR A1 - Guill, Christian A1 - Hülsemann, Janne A1 - Klauschies, Toni T1 - Self-organised pattern formation increases local diversity in metacommunities JF - Ecology letters N2 - Self-organised formation of spatial patterns is known from a variety of different ecosystems, yet little is known about how these patterns affect the diversity of communities. Here, we use a food chain model in which autotroph diversity is described by a continuous distribution of a trait that affects both growth and defence against heterotrophs. On isolated patches, diversity is always lost over time due to stabilising selection, and the local communities settle on one of two alternative stable community states that are characterised by a dominance of either defended or undefended species. In a metacommunity context, dispersal can destabilise these states and complex spatio-temporal patterns in the species' abundances emerge. The resulting biomass-trait feedback increases local diversity by an order of magnitude compared to scenarios without self-organised pattern formation, thereby maintaining the ability of communities to adapt to potential future changes in biotic or abiotic environmental conditions. KW - biomass-trait feedback KW - fitness gradient KW - food chain KW - functional KW - diversity KW - metacommunity KW - self-organisation KW - source-sink dynamics KW - spatio-temporal pattern KW - trait-based aggregate model KW - Turing instability Y1 - 2021 U6 - https://doi.org/10.1111/ele.13880 SN - 1461-023X SN - 1461-0248 VL - 24 IS - 12 SP - 2624 EP - 2634 PB - Wiley-Blackwell CY - Oxford ER - TY - JOUR A1 - Kiemel, Katrin A1 - Weithoff, Guntram A1 - Tiedemann, Ralph T1 - DNA metabarcoding reveals impact of local recruitment, dispersal, and hydroperiod on assembly of a zooplankton metacommunity JF - Molecular ecology N2 - Understanding the environmental impact on the assembly of local communities in relation to their spatial and temporal connectivity is still a challenge in metacommunity ecology. This study aims to unravel underlying metacommunity processes and environmental factors that result in observed zooplankton communities. Unlike most metacommunity studies, we jointly examine active and dormant zooplankton communities using a DNA metabarcoding approach to overcome limitations of morphological species identification. We applied two-fragment (COI and 18S) metabarcoding to monitor communities of 24 kettle holes over a two-year period to unravel (i) spatial and temporal connectivity of the communities, (ii) environmental factors influencing local communities, and (iii) dominant underlying metacommunity processes in this system. We found a strong separation of zooplankton communities from kettle holes of different hydroperiods (degree of permanency) throughout the season, while the community composition within single kettle holes did not differ between years. Species richness was primarily dependent on pH and permanency, while species diversity (Shannon Index) was influenced by kettle hole location. Community composition was impacted by kettle hole size and surrounding field crops. Environmental processes dominated temporal and spatial processes. Sediment communities showed a different composition compared to water samples but did not differ between ephemeral and permanent kettle holes. Our results suggest that communities are mainly structured by environmental filtering based on pH, kettle hole size, surrounding field crops, and permanency. Environmental filtering based on specific conditions in individual kettle holes seems to be the dominant process in community assembly in the studied zooplankton metacommunity. KW - bulk DNA KW - dispersal KW - DNA-metabarcoding KW - environmental filtering; KW - metacommunity KW - zooplankton Y1 - 2022 U6 - https://doi.org/10.1111/mec.16627 SN - 0962-1083 SN - 1365-294X VL - 32 IS - 23 PB - Wiley CY - Hoboken ER -