Predictive ecology in a changing world
In a rapidly changing world, ecology has the potential to move from empirical and
conceptual stages to application and management issues. It is now possible to make large …
conceptual stages to application and management issues. It is now possible to make large …
[HTML][HTML] Calibrating spatiotemporal models of microbial communities to microscopy data: A review
A Yip, J Smith-Roberge, SH Khorasani… - PLOS Computational …, 2022 - journals.plos.org
Spatiotemporal models that account for heterogeneity within microbial communities rely on
single-cell data for calibration and validation. Such data, commonly collected via microscopy …
single-cell data for calibration and validation. Such data, commonly collected via microscopy …
Warming‐induced global soil carbon loss attenuated by downward carbon movement
The fate of soil organic carbon (SOC) under warming is poorly understood, particularly
across large extents and in the whole‐soil profile. Using a data‐model integration approach …
across large extents and in the whole‐soil profile. Using a data‐model integration approach …
An efficient protocol for the global sensitivity analysis of stochastic ecological models
Stochastic simulation models requiring many input parameters are widely used to inform the
management of ecological systems. The interpretation of complex models is aided by global …
management of ecological systems. The interpretation of complex models is aided by global …
Surrogate-based multi-objective optimization of management options for agricultural landscapes using artificial neural networks
We demonstrate the use of a surrogate-based optimization framework for large-scale and
high-resolution landscape management optimization, using irrigated corn production …
high-resolution landscape management optimization, using irrigated corn production …
[HTML][HTML] Critical carbon input to maintain current soil organic carbon stocks in global wheat systems
Soil organic carbon (SOC) dynamics in croplands is a crucial component of global carbon
(C) cycle. Depending on local environmental conditions and management practices, typical …
(C) cycle. Depending on local environmental conditions and management practices, typical …
An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed
Aquifer recharge may depend mainly on the difference between precipitation and
evapotranspiration. Hydrological models used to estimate groundwater reserves use …
evapotranspiration. Hydrological models used to estimate groundwater reserves use …
[HTML][HTML] A systematic assessment and reduction of parametric uncertainties for a distributed hydrological model
Quantifying and reducing uncertainties in physics-based hydrological model parameters will
improve model reliability for hydrological forecasting. We present an uncertainty …
improve model reliability for hydrological forecasting. We present an uncertainty …
Measuring and modelling energy partitioning in canopies of varying complexity using MAESPA model
Evapotranspiration and energy partitioning are complex to estimate because they result from
the interaction of many different processes, especially in multi-species and multi-strata …
the interaction of many different processes, especially in multi-species and multi-strata …
DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems
The DynACof model was designed to model coffee agroforestry systems and study the trade-
offs to eg optimize the system facing climate changes. The model simulates net primary …
offs to eg optimize the system facing climate changes. The model simulates net primary …