2015
DOI: 10.1038/nclimate2879
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Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization

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Cited by 346 publications
(225 citation statements)
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References 40 publications
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“…Global monthly satellite-derived NPP data from 1982-2011 with 18 3 18 spatial resolution were obtained from Smith et al (2016). This NPP dataset was estimated using the Moderate Resolution Imaging Spectroradiometer (MODIS) NPP algorithm driven by the third-generation GIMMS fraction of photosynthetically active radiation (FPAR) absorbed by the vegetation (FPAR3g) and leaf area index (LAI3g) (Zhu et al 2013), following Eq.…”
Section: A Terrestrial Carbon Fluxes and Climate Variables Inmentioning
confidence: 99%
See 1 more Smart Citation
“…Global monthly satellite-derived NPP data from 1982-2011 with 18 3 18 spatial resolution were obtained from Smith et al (2016). This NPP dataset was estimated using the Moderate Resolution Imaging Spectroradiometer (MODIS) NPP algorithm driven by the third-generation GIMMS fraction of photosynthetically active radiation (FPAR) absorbed by the vegetation (FPAR3g) and leaf area index (LAI3g) (Zhu et al 2013), following Eq.…”
Section: A Terrestrial Carbon Fluxes and Climate Variables Inmentioning
confidence: 99%
“…Earth system models (ESMs) are widely used to assess terrestrial carbon cycle responses to climate change across multiple temporal scales, but the large spread in the simulation results across ESMs has limited our ability to make inferences (Todd-Brown et al 2014;Todd-Brown et al 2013;Ahlström et al 2012). In recent years, some observation-based products of carbon flux have been reported and are valuable data to test terrestrial carbon cycle process in ESMs, including satellite-derived net primary production (NPP) Smith et al (2016) and inversion-based NBP (Chevallier et al 2014;Chevallier et al 2005;Chevallier et al 2010). Using these products enables the evaluation of the performance of ESMs in modeling the seasonal responses of the terrestrial carbon cycle to climate variations.…”
Section: Introductionmentioning
confidence: 99%
“…Some models show very large CO2 effects, while others indicate a smaller or saturating effect 30 (Kolby Smith et al, 2015). Because future predicted fossil carbon uptake is highly dependent on the strength of the simulated CO2 fertilization, any constraints on the long-term effect of elevated CO2 on ecosystems would be valuable in reducing uncertainty in coupled carbonclimate models (Friedlingstein et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…As this may severely reduce the crops water requirements, it also affects the sustainability of croplands in arid and semi arid regions. Studies have identified a 15 greening in recent years that is in large parts related to the CFE (Zhu et al, 2016), however, it is very uncertain which role it may play for future crop yields, and it is even possible that it's benefits will be balanced completely by other factors such as nitrogen limitations (Rosenzweig et al, 2014;Smith et al, 2015;Obermeier et al, 2016).In simulations with the MPI-ESM, the CFE is very pronounced and, to investigate the limits of food production without this 20 highly uncertain effect, we performed an additional set of simulations (IR26*,IR45*,RF45* and IR85*) that are identical to IR26,IR45,RF45 and IR85 but with the plant available CO 2 limited to the level of the year 2005, i.e. 380.00 ppmv.…”
mentioning
confidence: 99%
“…greening in recent years that is in large parts related to the CFE (Zhu et al, 2016), however, it is very uncertain which role it may play for future crop yields, and it is even possible that it's benefits will be balanced completely by other factors such as nitrogen limitations (Rosenzweig et al, 2014;Smith et al, 2015;Obermeier et al, 2016).…”
mentioning
confidence: 99%