Dataset Information

A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.

ABSTRACT: Reliable data on biomass produced by lignocellulosic bioenergy crops are essential to identify sustainable bioenergy sources. Field studies have been performed for decades on bioenergy crops, but only a small proportion of the available data is used to explore future land use scenarios including bioenergy crops. A global dataset of biomass production for key lignocellulosic bioenergy crops is thus needed to disentangle the factors impacting biomass production in different regions. Such dataset will be also useful to develop and assess bioenergy crop modelling in integrated assessment socio-economic models and global vegetation models. Here, we compiled and described a global biomass yield dataset based on field measurements. We extracted 5,088 entries of data from 257 published studies for five main lingocellulosic bioenergy crops: eucalypt, Miscanthus, poplar, switchgrass, and willow. Data are from 355 geographic sites in 31 countries around the world. We also documented the species, plantation practices, climate conditions, soil property, and managements. Our dataset can be used to identify productive bioenergy species over a large range of environments.

SUBMITTER: Li W

PROVIDER: S-EPMC6107052 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.

Li Wei W Ciais Philippe P Makowski David D Peng Shushi S

Scientific data 20180821

Reliable data on biomass produced by lignocellulosic bioenergy crops are essential to identify sustainable bioenergy sources. Field studies have been performed for decades on bioenergy crops, but only a small proportion of the available data is used to explore future land use scenarios including bioenergy crops. A global dataset of biomass production for key lignocellulosic bioenergy crops is thus needed to disentangle the factors impacting biomass production in different regions. Such dataset w ...[more]

PMID: 30129935

Similar Datasets

Project description:Biomass gasification, especially distribution to power generation, is considered as a promising way to tackle global energy and environmental challenges. However, previous researches on integrated analysis of the greenhouse gases (GHG) abatement potentials associated with biomass electrification are sparse and few have taken the freshwater utilization into account within a coherent framework, though both energy and water scarcity are lying in the central concerns in China's environmental policy. This study employs a Life cycle assessment (LCA) model to analyse the actual performance combined with water footprint (WF) assessment methods. The inextricable trade-offs between three representative energy-producing technologies are explored based on three categories of non-food crops (maize, sorghum and hybrid pennisetum) cultivated in marginal arable land. WF results demonstrate that the Hybrid pennisetum system has the largest impact on the water resources whereas the other two technology options exhibit the characteristics of environmental sustainability. The large variances in contribution ratio between the four sub-processes in terms of total impacts are reflected by the LCA results. The Anaerobic Digestion process is found to be the main contributor whereas the Digestate management process is shown to be able to effectively mitigate the negative environmental impacts with an absolute share. Sensitivity analysis is implemented to detect the impacts of loss ratios variation, as silage mass and methane, on final results. The methane loss has the largest influence on the Hybrid pennisetum system, followed by the Maize system. Above all, the Sorghum system demonstrates the best performance amongst the considered assessment categories. Our study builds a pilot reference for further driving large-scale project of bioenergy production and conversion. The synergy of combined WF-LCA method allows us to conduct a comprehensive assessment and to provide insights into environmental and resource management.

Project description:Part of the DOE’s strategy to ensure American energy independence is to produce biofuels from dedicated biomass crops. Achieving DOE’s ambitious goal of displacing 30 percent of 2004 gasoline demand with biofuels by 2030 will require major increases in plant productivity. Switchgrass has been championed as a promising bioenergy species, but few tools exist to facilitate its widespread commercial use. A major challenge has been its large, complex genome. As a close relative of agronomic switchgrass (Panicum virgatum) with a diploid genome and seed-to-seed time of 8 weeks, Panicum hallii offers researchers a model system for exploring Panicum genetics, genomics, and adaptation for agronomic improvement. Bacteria living in leaves and roots influence many aspects of plant health, especially rhizobacteria and mycorrhizae are known to impact plant aboveground phenotypes 1,2. To better understand P. halli-microbe ecosystems, we will conduct experiments at our Texas field site, in EcoCells at Desert Research Institute (DRI) and in growth chambers and the Ecopod at LBNL. Ecopods are enclosed environments that allow direct and intensive monitoring and manipulation of replicated plant-soil-microbe-atmosphere interactions over the complete plant life cycle. Specifically, we are interested in plant microbe ecosystem stress response with respect to soil drying. Despite its broad adaptation to marginal, droughty soils 3,4, a persistent issue in producing switchgrass has been the rapid and consistent establishment of strong stands, especially when drought occurs during implantation. The proposed study is aimed at disclosing biotic interactions modulating plant and microbial metabolism under globally relevant environmental conditions and provides an opportunity to benchmark the Ecopods at LBNL. The work (proposal:https://doi.org/10.46936/10.25585/60001211) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

Dataset Information

A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.

Publications

A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets