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Author Durand, J.-L.; Delusca, K.; Boote, K.; Lizaso, J.; Manderscheid, R.; Weigel, H.J.; Ruane, A.C.; Rosenzweig, C.; Jones, J.; Ahuja, L.; Anapalli, S.; Basso, B.; Baron, C.; Bertuzzi, P.; Biernath, C.; Deryng, D.; Ewert, F.; Gaiser, T.; Gayler, S.; Heinlein, F.; Kersebaum, K.C.; Kim, S.-H.; Müller, C.; Nendel, C.; Olioso, A.; Priesack, E.; Villegas, J.R.; Ripoche, D.; Rötter, R.P.; Seidel, S.I.; Srivastava, A.; Tao, F.; Timlin, D.; Twine, T.; Wang, E.; Webber, H.; Zhao, Z.
Title How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? Type Journal Article
Year 2018 Publication European Journal of Agronomy Abbreviated Journal Europ. J. Agron.
Volume 100 Issue Pages 67-75
Keywords Zea mays; Atmospheric carbon dioxide concentration; Multi-model ensemble; Water use; Stomatal conductance; Grain number
Abstract This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thünen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1161-0301 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 2215
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Author Gornish, E.S.; Prather, C.M.; de Bello, F.
Title Foliar functional traits that predict plant biomass response to warming Type Journal Article
Year 2014 Publication Journal of Vegetation Science Abbreviated Journal J Veg Sci
Volume 25 Issue 4 Pages 919-927
Keywords Climate change; GloPNet; Leaf life span; Leaf mass per area; Log response ratio; Plant growth; Stomatal conductance
Abstract Question Ecologists are increasingly interested in making accurate predictions of plant response to climate change. Many studies have attempted to document plant response to warming by grouping species into functional groups. Within functional groups, however, species often display divergent responses. Determining how foliar functional traits might be used to predict plant responses to warming could reduce analytical complexity while maintaining generalizations across systems. Methods We conducted a meta-analysis on 18 studies (consisting of 38 species) of plant biomass response to experimental or natural warming. We determined whether plant trait estimates associated with the leaf economics spectrum [leaf life span (LL), leaf mass per area (LMA), leaf nitrogen (Nmass), leaf phosphorus (Pmass), photosynthetic capacity (Amax) and stomatal conductance (Gs)] from a global plant database of experimentally unmanipulated plants, GloPNet, could be used to predict biomass response to experimental warming. Results We found that three single leaf traits (LL, Nmass and Amax) were significant predictors for the response of plant biomass to warming treatments, perhaps due to their association with plant growth rates, adaptation rate and ability, each explaining between 2146% of the variation in plant biomass responses. The magnitude of response to warming decreased with increasing LL, but increased with increasing Nmass and Amax. We found no linear combination of any of these traits that predicted warming response. Conclusions These results show that foliar traits can aid in understanding the mechanisms by which plants respond to temperature across species. Because each trait only explained a portion of variation in how plant growth responded to warming, however, future studies that examine how plant communities respond to warming should simultaneously measure multiple leaf traits, especially those most sensitive to warming, across plant species, to determine whether the predictive ability of functional traits changes between different ecosystems or plant taxonomic groups.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1100-9233 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 568
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Author Peng, B.; Guan, K.; Tang, J.; Ainsworth EA; Asseng S; Bernacchi, C.J.; Bernacchi CJ; Cooper, M.; Delucia EH; Elliott, J.W.; Ewert F; Grant RF; Gustafson, D.I.; Hammer GL; Jin Z; Jones JW; Kimm, H.; Lawrence DM; Li Y; Lombardozzi, D.L.; Marshall-Colon, A.; Messina CD; Ort, D.R.; Schnable, J.C.; Vallejos, C.E.; Wu, A.; Yin X; Zhou, W.
Title Towards a multiscale crop modelling framework for climate change adaptation assessment. Type Journal Article
Year 2020 Publication Nature plants Abbreviated Journal Nat Plants
Volume 6 Issue 4 Pages 338-348
Keywords ELEVATED CARBON-DIOXIDE; HEAT-STRESS; EARTH SYSTEM; IN-SILICO; STOMATAL CONDUCTANCE; LEAF PHOTOSYNTHESIS; GENETIC-VARIABILITY; TROPOSPHERIC OZONE; SIMULATION-MODELS; DATA AGGREGATION
Abstract Predicting the consequences of manipulating genotype (G) and agronomic management (M) on agricultural ecosystem performances under future environmental (E) conditions remains a challenge. Crop modelling has the potential to enable society to assess the efficacy of G x M technologies to mitigate and adapt crop production systems to climate change. Despite recent achievements, dedicated research to develop and improve modelling capabilities from gene to global scales is needed to provide guidance on designing G x M adaptation strategies with full consideration of their impacts on both crop productivity and ecosystem sustainability under varying climatic conditions. Opportunities to advance the multiscale crop modelling framework include representing crop genetic traits, interfacing crop models with large-scale models, improving the representation of physiological responses to climate change and management practices, closing data gaps and harnessing multisource data to improve model predictability and enable identification of emergent relationships. A fundamental challenge in multiscale prediction is the balance between process details required to assess the intervention and predictability of the system at the scales feasible to measure the impact. An advanced multiscale crop modelling framework will enable a gene-to-farm design of resilient and sustainable crop production systems under a changing climate at regional-to-global scales.
Address Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Corporate Author Thesis
Publisher Place of Publication Editor
Language eng Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2055-0278 (Linking) ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 2415
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Author Wightman, M.; Martin, T.; Gonzalez-Benecke, C.; Jokela, E.; Cropper Jr., W.; Ward, E.
Title Loblolly Pine Productivity and Water Relations in Response to Throughfall Reduction and Fertilizer Application on a Poorly Drained Site in Northern Florida Type Journal Article
Year 2016 Publication Forests Abbreviated Journal Forests
Volume 7 Issue 10 Pages 214
Keywords Pinus taeda; throughfall exclusion; nutrient amelioration; transpiration; stomatal conductance; sap flow
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1999-4907 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number FCI @ refbase @ Serial 1296
Permanent link to this record