Evaluating and reducing a model of radiocaesium soil-plant uptake

Tarsitano, Davide; Young, Scott D.; Crout, N.M.J.

doi:10.1016/j.jenvrad.2010.11.017

Cited by 29 publications

(25 citation statements)

References 24 publications

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“…If the clay content of all Andosols had been measured with the more aggressive US-HMP or US-pH method, the slope of RIP soil /clay relationship would have been even lower than for the Belgian soils. This result suggests that the models to predict the TF of RCs from clay content, previously developed for European soils by Absalom et al (2001) and Tarsitano et al (2011), are likely overestimating the RIP soil and, hence, underestimating the TF for Japanese soils.…”

Section: Rip Of Soils Related To Soil Propertiesmentioning

confidence: 98%

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Predicting radiocaesium sorption characteristics with soil chemical properties for Japanese soils

Uematsu

Smolders

Sweeck

et al. 2015

Science of The Total Environment

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Section: Rip Of Soils Related To Soil Propertiesmentioning

confidence: 98%

“…2a). This result may imply that the models developed by Absalom et al (2001) and Tarsitano et al (2011) likely underestimate the TF even more for Andosols than other soils in Japan. The correlation coefficient for the non-Andosols alone (Fig.…”

Section: Rip Of Soils Related To Soil Propertiesmentioning

confidence: 99%

Predicting radiocaesium sorption characteristics with soil chemical properties for Japanese soils

Uematsu

Smolders

Sweeck

et al. 2015

Science of The Total Environment

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“…Testing for relationships between observed impact (e.g., crop yield) and weather would provide a top-level justification for combining models of impact and climate (e.g., Challinor et al, 2003), as would the existence of significant feedbacks between impact and climate (e.g., river flow impact on ocean circulation; carbon cycle; or albedo). Several authors have selectively removed model components or fixed parameters, and then retested model performance (e.g., Crout et al, 2009;Tarsitano et al, 2011). This may be challenging with large, complex models.…”

Section: Does Uncertainty Increase With Greater Integration Of Impacts?mentioning

confidence: 99%

Ensembles and uncertainty in climate change impacts

Falloon

Challinor

Dessai

et al. 2014

Front. Environ. Sci.

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The increasing use of multi-member climate model ensembles for making future climate impact assessments presents both opportunities for understanding uncertainties, and challenges for interpreting the results. We outline current approaches to assessing uncertainties in climate impacts, statistical methods for assessing uncertainties, issues regarding model integration and complexity, and ways in which uncertainty frameworks can be used to inform adaptation decisions, with case studies focused on agriculture. Finally, we highlight future research needs and provide recommendations for making further progress.

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“…Briefly, the inter-nested calculations of mechanistic models can be simplified by constants set by Bayesian statistical methods based on the likehood. The comprehensive calculations of the likehood is performed by numerical methods such as Markov Chain Monte Carlo.This methodology has been successfully adopted by Tarsitano et al (2011) for modelling radiocesium soil-plant uptake in which 18 variables (model input and variables) where reduced to 13. The simpler model was outperforming the more complex model because over-parametrization had occurred during the development of the latter.…”

Section: Why and Which Plant Nutrition Models What For?mentioning

confidence: 99%

Acquisition of phosphorus and other poorly mobile nutrients by roots. Where do plant nutrition models fail?

et al. 2011

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Background In the context of increasing global food demand, ecological intensification of agroecosystems is required to increase nutrient use efficiency in plants while decreasing fertilizer inputs. Better exploration and exploitation of soil resources is a major issue for phosphorus, given that rock phosphate ores are finite resources, which are going to be exhausted in decades from now on. Scope We review the processes governing the acquisition by plants of poorly mobile nutrients in soils, with a particular focus on processes at the root-soil interface. Rhizosphere processes are poorly accounted for in most plant nutrition models. This lack largely explains why present-day models fail at predicting the actual uptake of poorly mobile nutrients such as phosphorus under low input conditions. A first section is dedicated to biophysical processes and the spatial/temporal development of the rhizosphere. A second section concentrates on biochemical/biogeochemical processes, while a third section addresses biological/ecological processes operating in the rhizosphere. Conclusions New routes for improving soil nutrient efficiency are addressed, with a particular focus on breeding and ecological engineering options. Better mimicking natural ecosystems and exploiting plant diversity appears as an appealing way forward, on this long and winding road towards ecological intensification of agroecosystems. (Résumé d'auteur

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Evaluating and reducing a model of radiocaesium soil-plant uptake

Cited by 29 publications

References 24 publications

Predicting radiocaesium sorption characteristics with soil chemical properties for Japanese soils

Predicting radiocaesium sorption characteristics with soil chemical properties for Japanese soils

Ensembles and uncertainty in climate change impacts

Acquisition of phosphorus and other poorly mobile nutrients by roots. Where do plant nutrition models fail?

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