@article {Janzen039503, author = {Thijs Janzen and Adriana Alzate and Moritz Muschick and Fons van der Plas and Rampal S. Etienne}, title = {Stochastic processes dominate community assembly in cichlid communities in Lake Tanganyika}, elocation-id = {039503}, year = {2016}, doi = {10.1101/039503}, publisher = {Cold Spring Harbor Laboratory}, abstract = {The African Great Lakes are characterized by an extraordinary diversity of endemic cichlid fish species. The cause of this diversity is still largely unknown. Most studies have tried to solve this question by focusing on macro-evolutionary processes, such as speciation. However, the ecological processes determining local cichlid diversity have so far been understudied, even though knowledge on these might be crucial for understanding larger scale biodiversity patterns.Using trait, environmental and abundance data of cichlid fishes along 36 transects, we have studied how differences in local environmental conditions influence cichlid community assembly in the littoral of Lake Tanganyika, Zambia. We investigated changes in average trait values and in trait-based community assembly processes along three key environmental gradients.Species diversity and local abundance decreased with increasing sand cover and diet-associated traits change with depth. Analyses on within-community trait diversity patterns indicated that cichlid community assembly was mainly driven by stochastic processes, to a smaller extent by processes that limit the similarity among co-existing species and least by filtering processes that limit the range of species traits occuring in an environment. However, the dominance of these different community assembly processes did not change with environmental conditions.Our results suggest that local environmental conditions determine cichlid abundance, while the predominance of stochastic community assembly across all environments explains why the communities with the highest abundances contain most species.}, URL = {https://www.biorxiv.org/content/early/2016/02/12/039503}, eprint = {https://www.biorxiv.org/content/early/2016/02/12/039503.full.pdf}, journal = {bioRxiv} }