caa a22 4500 60551691X CHVBK 20210128100716.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10533-014-0065-0 doi (NATIONALLICENCE)springer-10.1007/s10533-014-0065-0 Climate history shapes contemporary leaf litter decomposition [Elektronische Daten] [Michael Strickland, Ashley Keiser, Mark Bradford] Litter decomposition is mediated by multiple variables, of which climate is expected to be a dominant factor at global scales. However, like other organisms, traits of decomposers and their communities are shaped not just by the contemporary climate but also their climate history. Whether or not this affects decomposition rates is underexplored. Here we source decomposer communities from three forest sites contrasting in climate (tropical, temperate, boreal), and, using experimental microcosms, quantify decomposition of a common litter under a factorial combination of four temperature (15, 20, 25, and 30°C) and five moisture regimes (35, 55, 70, 85, and 100% water holding capacity). We find that the climate history of the decomposer community is an important determinant of litter decomposition, explaining the same amount of variance in decomposition as both temperature and moisture. Further, climate history also shapes the effect of contemporary climate (i.e. experimental) on decomposition, both in terms of the magnitude of decomposition under optimal conditions and the range of abiotic conditions at which high decomposition rates are maintained. For example, at optimal conditions (i.e. 25°C/70% WHC) the tropical site has a greater decomposition rate than the other two sites. However, the temperate and boreal sites have greater ‘niche breadth', where decomposition rates are more sustained (i.e. decrease less) as temperature and moisture deviate further from the optimum. Our data suggest that climate history shapes the functional response of the soil decomposer community, as it does for animals and plants. Yet how this shaping affects decomposition rates across regional and global climate gradients, and how such relationships are applied to temporal predictions, remain unanswered questions. Springer International Publishing Switzerland, 2015 Carbon mineralization nationallicence Climate nationallicence Forests nationallicence Litter decomposition nationallicence Niche breadth nationallicence Niche optima nationallicence Strickland Michael Department of Biological Sciences, Virginia Polytechnic Institute and State University, 24060, Blacksburg, VA, USA aut Keiser Ashley Department of Ecology, Evolution, and Organismal Biology, Iowa State University, 50011, Ames, IA, USA aut Bradford Mark School of Forestry and Environmental Studies, Yale University, 06511, New Haven, CT, USA aut Biogeochemistry Springer International Publishing 122/2-3(2015-02-01), 165-174 0168-2563 122:2-3<165 2015 122 10533 https://doi.org/10.1007/s10533-014-0065-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 review-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10533-014-0065-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Strickland Michael Department of Biological Sciences, Virginia Polytechnic Institute and State University, 24060, Blacksburg, VA, USA aut NATIONALLICENCE 700 1- Keiser Ashley Department of Ecology, Evolution, and Organismal Biology, Iowa State University, 50011, Ames, IA, USA aut NATIONALLICENCE 700 1- Bradford Mark School of Forestry and Environmental Studies, Yale University, 06511, New Haven, CT, USA aut NATIONALLICENCE 773 0- Biogeochemistry Springer International Publishing 122/2-3(2015-02-01), 165-174 0168-2563 122:2-3<165 2015 122 10533