Agricultural Practices And Policies For Carbon Sequestration In Soil
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Agricultural Practices and Policies for Carbon Sequestration in Soil
The potential to mitigate greenhouse gas emissions and global climate change is one factor driving agricultural policy development of programs that might pay farmers for practices with a high potential to sequester carbon. With chapters by economists, policy makers, farmers, land managers, energy company representatives, and soil scientists, Agricu
Agricultural Practices and Policies for Carbon Sequestration in Soil
The potential to mitigate greenhouse gas emissions and global climate change is one factor driving agricultural policy development of programs that might pay farmers for practices with a high potential to sequester carbon. With chapters by economists, policy makers, farmers, land managers, energy company representatives, and soil scientists, Agricu
Soil Carbon Storage
Soil Carbon Storage: Modulators, Mechanisms and Modeling takes a novel approach to the issue of soil carbon storage by considering soil C sequestration as a function of the interaction between biotic (e.g. microbes and plants) and abiotic (climate, soil types, management practices) modulators as a key driver of soil C. These modulators are central to C balance through their processing of C from both plant inputs and native soil organic matter. This book considers this concept in the light of state-of-the-art methodologies that elucidate these interactions and increase our understanding of a vitally important, but poorly characterized component of the global C cycle. The book provides soil scientists with a comprehensive, mechanistic, quantitative and predictive understanding of soil carbon storage. It presents a new framework that can be included in predictive models and management practices for better prediction and enhanced C storage in soils. - Identifies management practices to enhance storage of soil C under different agro-ecosystems, soil types and climatic conditions - Provides novel conceptual frameworks of biotic (especially microbial) and abiotic data to improve prediction of simulation model at plot to global scale - Advances the conceptual framework needed to support robust predictive models and sustainable land management practices