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Oskar Franklin joined IIASA’s Forestry Program, now Ecosystems Services and Management (ESM) Program in June 2004, where he developed forest models for the prediction of forest greenhouse gas fluxes in response to management options. Recently, he worked on ecosystem theory and models of boreal forests under global change and the role of mycorrhizal symbiosis for carbon and nutrient cycling. He also led a Greenhouse Gas Initiative (GGI) project that initiated the development of a new generation forest and vegetation model that takes advantage of ecological and evolutionary principles to better constrain predicted consequences of climate change.
Dr. Franklin received his PhD in systems ecology at the Swedish University of Agricultural Sciences in Uppsala in 2003. His work involved optimal plant theory and forest growth responses to nitrogen and carbon dioxide. Prior to becoming involved in ecology, he earned an MSc degree in physics engineering at Uppsala University, and worked at the Swedish Radiation Protection Institute with nuclear power emissions and environmental effects.
Last update: 04-MAR-2015
Högberg P, Näsholm T, Franklin O, & Högberg MN (2017). Tamm Review: On the nature of the nitrogen limitation to plant growth in Fennoscandian boreal forests. Forest Ecology and Management 403: 161-185. DOI:10.1016/j.foreco.2017.04.045.
Palmqvist K, Franklin O, & Näsholm T (2017). Symbiosis constraints: Strong mycobiont control limits nutrient response in lichens. Ecology and Evolution 7 (18): 7420-7433. DOI:10.1002/ece3.3257.
Franklin O, Han W, Dieckmann U, Cramer W, Brännström Å, Pietsch S, Rovenskaya E, Prentice IC, et al. (2017). Using natural selection and optimization for smarter vegetation models - challenges and opportunities. In: European Geosciences Union (EGU) General Assembly 2017, 23–28 April 2017, Vienna, Austria.
Terrer Moreno C, Vicca S, Hungate BA, Phillips RP, Reich PB, Franklin O, Stocker BD, Fisher JB, et al. (2017). Response to Comment on “Mycorrhizal association as a primary control of the CO 2 fertilization effect”. Science 355 (6323): p. 358. DOI:10.1126/science.aai8242.
Franklin O, Cambui CA, Gruffman L, Palmroth S, Oren R, & Näsholm T (2017). The carbon bonus of organic nitrogen enhances nitrogen use efficiency of plants. Plant, Cell & Environment 40 (1): 25-35. DOI:10.1111/pce.12772.
Stocker B D, Prentice I C, Cornell S E, Davies-Barnard T, Finzi A C, Franklin O, Janssens I, Larmola T, et al. (2016). Terrestrial nitrogen cycling in Earth system models revisited. New Phytologist 210 (4): 1165-1168. DOI:10.1111/nph.13997.
Evans S, Dieckmann U, Franklin O, & Kaiser C (2016). Synergistic effects of diffusion and microbial physiology reproduce the Birch effect in a micro-scale model. Soil Biology and Biochemistry 93: 28-37. DOI:10.1016/j.soilbio.2015.10.020.
Franklin O (2016). Predicting plants – modeling traits as a function of environment. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.
Kaiser C, Franklin O, Richter A, & Dieckmann U (2015). Social dynamics within decomposer communities lead to nitrogen retention and organic matter build-up in soils. Nature Communications 6: no.8960. DOI:10.1038/ncomms9960.
Shanafelt DW, Dieckmann U, Jonas M, Franklin O, Loreau M, & Perrings C (2015). Biodiversity, productivity, and the spatial insurance hypothesis revisited. Journal of Theoretical Biology 380: 426-435. DOI:10.1016/j.jtbi.2015.06.017.
Franklin O, Palmroth S, & Nasholm T (2014). How eco-evolutionary principles can guide tree breeding and tree biotechnology for enhanced productivity. Tree Physiology 34 (11): 1149-1166. DOI:10.1093/treephys/tpu111.
Nasholm T, Palmroth S, Ganeteg U, Moshelion M, Hurry V, & Franklin O (2014). Genetics of superior growth traits in trees are being mapped but will the faster-growing risk-taker make it in the wild? Tree Physiology 34 (11): 1141-1148. DOI:10.1093/treephys/tpu112.
Lindh M, Zhang L, Falster D, Franklin O, & Brannstrom Å (2014). Plant diversity and drought: The role of deep roots. Ecological Modelling 290: 85-93. DOI:10.1016/j.ecolmodel.2014.05.008.
Jonas M, Ometto JP, Batistella M, Franklin O, Hall M, Lapola DM, Moran EF, Tramberend S, et al. (2014). Sustaining ecosystem services: Overcoming the dilemma posed by local actions and planetary boundaries. Earth's Future 2 (8): 407-420. DOI:10.1002/2013EF000224.
Franklin O, Nasholm T, Hogberg P, & Hogberg MN (2014). Forests trapped in nitrogen limitation - An ecological market perspective on ectomycorrhizal symbiosis. New Phytologist 203 (2): 657-666. DOI:10.1111/nph.12840.
Kaiser C, Franklin O, Dieckmann U, & Richter A (2014). Microbial community dynamics alleviate stoichiometric constraints during litter decay. Ecology Letters 17 (6): 680-690. DOI:10.1111/ele.12269.
Hall M, Medlyn BE, Abramowitz G, Franklin O, Rantfors M, Linder S, & Wallin G (2013). Which are the most important parameters for modelling carbon assimilation in boreal Norway spruce under elevated CO2 and temperature conditions? Tree Physiology 33 (11): 1156-1176. DOI:10.1093/treephys/tpt014.
McCallum I, Franklin O, Moltchanova E, Merbold L, Schmullius C, Shvidenko A, Schepaschenko D, & Fritz S (2013). Improved light and temperature responses for light-use-efficiency-based GPP models. Biogeosciences 10 (10): 6577-6590. DOI:10.5194/bg-10-6577-2013.
Nasholm T, Hogberg P, Franklin O, Metcalfe D, Keel SG, Campbell C, Hurry V, Linder S, et al. (2013). Are ectomycorrhizal fungi alleviating or aggravating nitrogen limitation of tree growth in boreal forests? New Phytologist 198 (1): 214-221. DOI:10.1111/nph.12139.
Franklin O, Johansson J, Dewar RC, Dieckmann U, McMurtrie RE, Brannstrom Å, & Dybzinski R (2012). Modeling carbon allocation in trees: A search for principles. Tree Physiology 32 (6): 648-666. DOI:10.1093/treephys/tpr138.
Bodin P & Franklin O (2012). Efficient modeling of sun/shade canopy radiation dynamics explicitly accounting for scattering. Geoscientific Model Development 5 (2): 535-541. DOI:10.5194/gmd-5-535-2012.
Franklin O & Kaiser C (2012). Extracellular enzyme production from a rational microbe’s perspective. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
Franklin O, Moltchanova E, Kraxner F, Seidl R, Bottcher H, Rokityiansky D, & Obersteiner M (2012). Large-scale forest modeling: Deducing stand density from inventory data. International Journal of Forestry Research 934974 DOI:10.1155/2012/934974.
Kaiser C, Franklin O, Richter A, & Dieckmann U (2012). Feedback of belowground processes to global change mediated by microbial community dynamics. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
Rovenskaya E, Brannstrom Å, Franklin O, & Dieckmann U (2012). Balancing Ecology and Economy in Forestry: A Theoretical Investigation. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
Rovenskaya E, Brännström Å, Franklin O, & Dieckmann U (2012). Improving ecological sustainability in forestry: a theoretical investigation. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
Hall EK, Maixner F, Franklin O, Daims H, Richter A, & Battin TJ (2011). Linking microbial and ecosystem ecology using ecological stoichiometry: A synthesis of conceptual and empirical approaches. Ecosystems 14 (2): 261-273. DOI:10.1007/s10021-010-9408-4.
Franklin O, Hall EK, Kaiser C, Battin TJ, & Richter A (2011). Optimization of biomass composition explains microbial growth-stoichiometry relationships. The American Naturalist 177 (2): E29-E42. DOI:10.1086/657684.
Leduc S, Lundgren J, Franklin O, & Dotzauer E (2010). Location of a biomass based methanol production plant: A dynamic problem in northern Sweden. Applied Energy 87 (1): 68-75. DOI:10.1016/j.apenergy.2009.02.009.
Franklin O, Aoki K, & Seidl R (2009). A generic model of thinning and stand density effects on forest growth, mortality and net increment. Annals of Forest Science 66 (8): 815.-1-11. DOI:10.1051/forest/2009073.
Dewar RC, Franklin O, Maekelae A, McMurtrie RE, & Valentine HT (2009). Optimal function explains forest responses to global change. BioScience 59 (2): 127-139. DOI:10.1525/bio.2009.59.2.6.
Franklin O, McMurtrie RE, Iversen CM, Crous KY, Finzi AC, Tissue DT, Ellsworth D, Oren R, et al. (2009). Forest fine-root production and nitrogen use under elevated CO2: Contrasting responses in evergreen and deciduous trees explained by a common principle. Global Change Biology 15 (1): 132-144. DOI:10.1111/j.1365-2486.2008.01710.x.
Franklin O (2007). Optimal nitrogen allocation controls tree responses to elevated CO2. New Phytologist 174 (4): 811-822. DOI:10.1111/j.1469-8137.2007.02063.x.
Koca D, Smith B, Bergh J, Nilsson U, Franklin O, Obersteiner M, & Sykes MT (2006). Increased accuracy in climate impact studies by incorporating forest management practices within a process-based regional ecosystem modelling framework. Meddelanden från Lunds universitets geografi ska institution. Avhandlingar No.162 162: 77-89.
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