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  • 1
    Publication Date: 2009-04-03
    Description: Explaining the ecological causes of evolutionary diversification is a major focus of biology, but surprisingly little has been said about the effects of evolutionary diversification on ecosystems. The number of species in an ecosystem and their traits are key predictors of many ecosystem-level processes, such as rates of productivity, biomass sequestration and decomposition. Here we demonstrate short-term ecosystem-level effects of adaptive radiation in the threespine stickleback (Gasterosteus aculeatus) over the past 10,000 years. These fish have undergone recent parallel diversification in several lakes in coastal British Columbia, resulting in the formation of two specialized species (benthic and limnetic) from a generalist ancestor. Using a mesocosm experiment, we demonstrate that this diversification has strong effects on ecosystems, affecting prey community structure, total primary production, and the nature of dissolved organic materials that regulate the spectral properties of light transmission in the system. However, these ecosystem effects do not simply increase in their relative strength with increasing specialization and species richness; instead, they reflect the complex and indirect consequences of ecosystem engineering by sticklebacks. It is well known that ecological factors influence adaptive radiation. We demonstrate that adaptive radiation, even over short timescales, can have profound effects on ecosystems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Harmon, Luke J -- Matthews, Blake -- Des Roches, Simone -- Chase, Jonathan M -- Shurin, Jonathan B -- Schluter, Dolph -- England -- Nature. 2009 Apr 30;458(7242):1167-70. doi: 10.1038/nature07974. Epub 2009 Apr 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, University of Idaho, Moscow, Idaho 83844-3051, USA. lukeh@uidaho.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19339968" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biodiversity ; *Biological Evolution ; Biomass ; British Columbia ; *Ecosystem ; Fishes/*classification/*physiology ; Food Chain ; Fresh Water ; Genetic Speciation ; Models, Biological ; Population Density ; Predatory Behavior
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-05-29
    Description: Net primary productivity is a principal driver of biodiversity; large-scale regions with higher productivity generally have more species. This pattern emerges because beta-diversity (compositional variation across local sites) increases with productivity, but the mechanisms underlying this phenomenon are unknown. Using data from a long-term experiment in replicate ponds, I show that higher beta-diversity at higher productivity resulted from a stronger role for stochastic relative to deterministic assembly processes with increasing productivity. This shift in the relative importance of stochasticity was most consistent with the hypothesis of more intense priority effects leading to multiple stable equilibria at higher productivity. Thus, shifts in community assembly mechanisms across a productivity gradient may underlie one of the most prominent biodiversity gradients on the planet.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chase, Jonathan M -- New York, N.Y. -- Science. 2010 Jun 11;328(5984):1388-91. doi: 10.1126/science.1187820. Epub 2010 May 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology and Tyson Research Center, Washington University, St. Louis, MO 63130, USA. jchase@wustl.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20508088" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biodiversity ; Cyanobacteria ; *Ecosystem ; Environment ; Eukaryota ; Extinction, Biological ; Food Chain ; *Fresh Water ; Photosynthesis ; Plants ; Population Dynamics ; Stochastic Processes
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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