Nitrous oxide emissions from soils: how well do we understand the processes and their controls?
K Butterbach-Bahl, EM Baggs… - … of the Royal …, 2013 - royalsocietypublishing.org
Although it is well established that soils are the dominating source for atmospheric nitrous
oxide (N2O), we are still struggling to fully understand the complexity of the underlying …
oxide (N2O), we are still struggling to fully understand the complexity of the underlying …
Facing up to the paradigm of ecological intensification in agronomy: revisiting methods, concepts and knowledge
T Doré, D Makowski, E Malézieux… - European journal of …, 2011 - Elsevier
Agriculture is facing up to an increasing number of challenges, including the need to ensure
various ecosystem services and to resolve apparent conflicts between them. One of the …
various ecosystem services and to resolve apparent conflicts between them. One of the …
The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies
C Rosenzweig, JW Jones, JL Hatfield… - Agricultural and forest …, 2013 - Elsevier
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major
international effort linking the climate, crop, and economic modeling communities with …
international effort linking the climate, crop, and economic modeling communities with …
[HTML][HTML] A simple model for COVID-19
Abstract An SL 1 L 2 I 1 I 2 A 1 A 2 R epidemic model is formulated that describes the spread
of an epidemic in a population. The model incorporates an Erlang distribution of times of …
of an epidemic in a population. The model incorporates an Erlang distribution of times of …
[BOOK][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia
Emerging diseases caused by coronaviruses of likely bat origin (eg, SARS, MERS, SADS,
COVID-19) have disrupted global health and economies for two decades. Evidence …
COVID-19) have disrupted global health and economies for two decades. Evidence …
Decomposing crop model uncertainty: A systematic review
Crop models are essential tools for analysing the effects of climate variability, change on
crop growth and development and the potential impact of adaptation strategies. Despite their …
crop growth and development and the potential impact of adaptation strategies. Despite their …
Asymptotic normality and efficiency of two Sobol index estimators
Many mathematical models involve input parameters, which are not precisely known. Global
sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact …
sensitivity analysis aims to identify the parameters whose uncertainty has the largest impact …
Sensobol: an R package to compute variance-based sensitivity indices
The R package" sensobol" provides several functions to conduct variance-based uncertainty
and sensitivity analysis, from the estimation of sensitivity indices to the visual representation …
and sensitivity analysis, from the estimation of sensitivity indices to the visual representation …
How to conduct a proper sensitivity analysis in life cycle assessment: taking into account correlations within LCI data and interactions within the LCA calculation model
W Wei, P Larrey-Lassalle, T Faure… - … science & technology, 2015 - ACS Publications
Sensitivity analysis (SA) is a significant tool for studying the robustness of results and their
sensitivity to uncertainty factors in life cycle assessment (LCA). It highlights the most …
sensitivity to uncertainty factors in life cycle assessment (LCA). It highlights the most …