Emerging markets for cellulosic bioenergy feedstocks provide opportunities for implementing soil conservation practices that restore soil carbon (C) stocks within agricultural landscapes. Conservation strategies--including conversion to no-till, using cover crops, and establishing perennial vegetation--alter belowground C cycling processes and increase soil C storage through protection of soil organic matter (SOM). In particular, marginal sites less suited for conventionally tilled annual row crops are being targeted as appropriate locations for conversion to perennial bioenergy crops. However, the effects of topography and variations in soil properties on belowground C cycling processes remain largely unknown. The goal of this research is ...
Many sources of woody biofuels provide alternative options to fossil fuels that can help mitigate gr...
A feasibility study for the use of propane as a subbase drying technique. Michael Blahut (1) Dr. Ver...
The development of accurate carbon budgets, as well as global climate models with predictive capabil...
Natural resources degradation in conventional cropping systems and renewable fuels agendas underscor...
To maximize crop yields, commodity crop production systems typically rely on inputs of fertilizers, ...
Microbial communities are at the heart of important ecosystem functions such as decomposition and th...
The objectives of this work were to (1) asses how Shoemaker-McLean-Pratt (SMP), Sikora, and Mehlich ...
Finding solutions to food-water-energy nexus challenges requires a systems approach and integration ...
To maximize crop yields, commodity crop production systems typically rely on inputs of fertilizers, ...
The removal of crop residues left after harvest is being considered as a potential feedstock source ...
This thesis includes two studies. The first study compared the net N mineralization rate ...
Addressing the growing demand for food from a burgeoning population requires agricultural methods th...
Biodiversity is important to ecosystem function at many scales, and variation functional traits with...
Iowa\u27s tallgrass prairies, the once dominant vegetation, were replaced by crops so that ...
Many sources of woody biofuels provide alternative options to fossil fuels that can help mitigate gr...
Many sources of woody biofuels provide alternative options to fossil fuels that can help mitigate gr...
A feasibility study for the use of propane as a subbase drying technique. Michael Blahut (1) Dr. Ver...
The development of accurate carbon budgets, as well as global climate models with predictive capabil...
Natural resources degradation in conventional cropping systems and renewable fuels agendas underscor...
To maximize crop yields, commodity crop production systems typically rely on inputs of fertilizers, ...
Microbial communities are at the heart of important ecosystem functions such as decomposition and th...
The objectives of this work were to (1) asses how Shoemaker-McLean-Pratt (SMP), Sikora, and Mehlich ...
Finding solutions to food-water-energy nexus challenges requires a systems approach and integration ...
To maximize crop yields, commodity crop production systems typically rely on inputs of fertilizers, ...
The removal of crop residues left after harvest is being considered as a potential feedstock source ...
This thesis includes two studies. The first study compared the net N mineralization rate ...
Addressing the growing demand for food from a burgeoning population requires agricultural methods th...
Biodiversity is important to ecosystem function at many scales, and variation functional traits with...
Iowa\u27s tallgrass prairies, the once dominant vegetation, were replaced by crops so that ...
Many sources of woody biofuels provide alternative options to fossil fuels that can help mitigate gr...
Many sources of woody biofuels provide alternative options to fossil fuels that can help mitigate gr...
A feasibility study for the use of propane as a subbase drying technique. Michael Blahut (1) Dr. Ver...
The development of accurate carbon budgets, as well as global climate models with predictive capabil...