Impact of management strategies on the global warming potential at the cropping system level

Goglio, Pietro; Grant, Brian; Smith, Ward; Desjardins, Raymond L.; Worth, Devon E.; Zentner, R. P.; Malhi, S. S.

doi:10.1016/j.scitotenv.2014.05.070

Cited by 76 publications

(54 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Small changes in N fertilizer can have a substantial environmental impact. A change from 75 to 50 kg N hm -2 reduced the GWP per hm -2 by 18% [21]. It is usually assumed that N 2 O emissions will increase with an increase in the N application rate [22].…”

Section: Discussionmentioning

confidence: 99%

Effects of nitrogen application rate, nitrogen synergist and biochar on nitrous oxide emissions from vegetable field in south China

et al. 2017

View full text Add to dashboard Cite

Globally, vegetable fields are the primary source of greenhouse gas emissions. A closed-chamber method together with gas chromatography was used to measure the fluxes of nitrous oxide (N2O) emissions in typical vegetable fields planted with four vegetables sequentially over time in the same field: endive, lettuce, cabbage and sweet corn. Results showed that N2O fluxes occurred in pulses with the N2O emission peak varying greatly among the crops. In addition, N2O emissions were linearly associated with the nitrogen (N) application rate (r = 0.8878, n = 16). Excessive fertilizer N application resulted in N loss through nitrous oxide gas emitted from the vegetable fields. Compared with a conventional fertilization (N2) treatment, the cumulative N2O emissions decreased significantly in the growing seasons of four plant species from an nitrogen synergist (a nitrification inhibitor, dicyandiamide and biochar treatments by 34.6% and 40.8%, respectively. However, the effects of biochar on reducing N2O emissions became more obvious than that of dicyandiamide over time. The yield-scaled N2O emissions in consecutive growing seasons for four species increased with an increase in the N fertilizer application rate, and with continuous application of N fertilizer. This was especially true for the high N fertilizer treatment that resulted in a risk of yield-scaled N2O emissions. Generally, the additions of dicyandiamide and biochar significantly decreased yield-scaled N2O-N emissions by an average of 45.9% and 45.7%, respectively, compared with N2 treatment from the consecutive four vegetable seasons. The results demonstrated that the addition of dicyandiamide or biochar in combination with application of a rational amount of N could provide the best strategy for the reduction of greenhouse gas emissions in vegetable field in south China.

show abstract

Section: Discussionmentioning

confidence: 99%

Effects of nitrogen application rate, nitrogen synergist and biochar on nitrous oxide emissions from vegetable field in south China

et al. 2017

View full text Add to dashboard Cite

show abstract

“…However, the more idealised means of life cycle accounting is the inclusion of results (Tier 3) from more complex process based models (e.g., DNDC [54][55][56], DAYCENT [50]), which can be used to estimate GHG emissions. Indeed the integrated use of GIS and biogeochemical models is increasingly being employed to estimate regional distributions of greenhouse gas (GHG) emissions [57][58][59][60].…”

Section: What Is Relca?mentioning

confidence: 99%

RELCA: a REgional Life Cycle inventory for Assessing bioenergy systems within a region

O’Keeffe¹,

Wochele-Marx²,

Thrän

2016

Energ Sustain Soc

View full text Add to dashboard Cite

Background: The last decade has seen major development and adoption of bioenergy, particularly in Germany. This has resulted in a scattering of decentralised bioenergy plants across the landscape, due to their dependency on spatially diffuse biomass resources. Regional conditions (e.g., soils, climate, management) influence the environmental burdens resulting from biomass production and thus, also effect the environmental performance of bioenergy production. Therefore, more regionally focused life cycle approaches are required for assessing these bioenergy systems. The aim of this paper is to outline such an approach. "RELCA", is a regional life cycle inventory for assessing the regional and spatial variation in the environmental performance of bioenergy production within a region. Methods: Five modelling steps are combined to form the RELCA approach in order to determine: (1) regional crop allocation, (2) regional biomass management, (3) representative bioenergy plant models, (4) bioenergy plant catchments, and (5) indirect upstream emissions (non-regional) associated with regional bioenergy production. The challenges and options for each of these five modelling steps are outlined. Additionally, a simple example is provided using greenhouse gases emissions (GHG) to show how RELCA can be used to identify the potential regional distribution of environmental burdens associated with the production of a bioenergy product (e.g. biodiesel) within a region. Results: An approach for combining regionally distributed inventory for biomass production with regionally distributed inventory for bioenergy technologies, through the use of catchment delineation was developed. This enabled the introduction of greater regional details within the life cycle approach. As a first "proof of concept," GHG emissions were estimated for a simple example, illustrating how RELCA can identify the potential regional distribution of environmental burdens (direct and indirect) associated with producing a bioenergy product. Conclusions: RELCA (v1.0) is a powerful scoping approach, which is the first to investigate the regional and spatial variation in the environmental performance of bioenergy production within a region through the use of catchment delineation. RELCA (v1.0) is not without its limitations. Despite these, it still provides a good starting point for further discussion, improvements, and modelling developments for assessing the regional and spatial environmental implications of bioenergy production (e.g., such as impacts to soil, water, and biodiversity) for a within regional context .

show abstract

“…In agreement to this, Biswas et al (2008) reported that the production of fertilizers was the largest source of GHG emissions in their LCA representing 35% of the GWP. Goglio et al (2014) analyzed GHG from different cropping systems and their results show that increases in fertilization resulted in an increase of 28% of the GWP. The scenarios analyzed in our study suggest that by reducing the rates of inorganic fertilizer from 296.6 to 201.4 kg of N ha À1 , each hectare of wheat has the potential to mitigate an estimated amount of 1.59 ton CO 2 eq, which represents a 27% reduction in emissions.…”

Section: Fertilizationmentioning

confidence: 99%

“…Several authors have applied the LCA methodology to estimate emissions for wheat production in different environments. Most studies have focused on either fertilization strategies (Brentrup et al, 2004b;Charles et al, 2006;Fallahpour et al, 2012;Goglio et al, 2014Goglio et al, , 2012 or soil preparation practices (Sørensen et al, 2014;Zaher et al, 2013). Until very recently, LCAs have started to be applied using approaches for analyzing wheat production management scenarios that combine changes in tillage and fertilization strategies.…”

Section: Introductionmentioning

confidence: 99%

Global warming potential of intensive wheat production in the Yaqui Valley, Mexico: a resource for the design of localized mitigation strategies

Lares-Orozco

Robles-Morúa

Yépez

et al. 2016

Journal of Cleaner Production

View full text Add to dashboard Cite

Impact of management strategies on the global warming potential at the cropping system level

Cited by 76 publications

References 63 publications

Effects of nitrogen application rate, nitrogen synergist and biochar on nitrous oxide emissions from vegetable field in south China

Effects of nitrogen application rate, nitrogen synergist and biochar on nitrous oxide emissions from vegetable field in south China

RELCA: a REgional Life Cycle inventory for Assessing bioenergy systems within a region

Global warming potential of intensive wheat production in the Yaqui Valley, Mexico: a resource for the design of localized mitigation strategies

Contact Info

Product

Resources

About