scholarly journals Feeding Efficiency Gains Can Increase the Greenhouse Gas Mitigation Potential of the Tanzanian Dairy Sector

2020 ◽  
Author(s):  
James Hawkins ◽  
Gabriel Yesuf ◽  
Mink Zijlstra ◽  
George Schoneveld ◽  
Mariana Rufino
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Ghg Emissions ◽  
Simulation Modelling ◽  
Greenhouse Gas Mitigation ◽  
Total Carbon ◽  
Dairy Production ◽  
Input Use ◽  
Attributional Life Cycle Assessment ◽  
Yield Gaps

Abstract We use an attributional life cycle assessment (LCA) and simulation modelling to assess the effect of improved feeding practices and increased yields of feed crops on milk productivity and GHG emissions from the dairy sector of Tanzania’s southern highlands region. We calculated direct non-CO2 emissions from dairy production and the CO2 emissions resulting from the demand for croplands and grasslands using a land footprint indicator. Baseline GHG emissions intensities ranged between 19.8 - 27.8 and 5.8 - 5.9 kg CO2eq kg-1 fat and protein corrected milk for the Traditional (local cattle) and Modern (improved cattle) sectors. Land use change contributed 45.8 - 65.8% of the total carbon footprint of dairy. Better feeding increased milk yields by up to 60.1% and reduced emissions intensities by up to 52.4 and 38.0% for the Traditional and Modern sectors, respectively. Avoided land use change was the predominant cause of reductions in GHG emissions under all the scenarios. Reducing yield gaps of concentrate feeds lowered emission further by 11.4 – 34.9% despite increasing N2O and CO2 emissions from soils management and input use. This study demonstrates that feeding intensification has potential to increase LUC emissions from dairy production, but that fertilizer-dependent yield gains can offset this increase in emissions, through avoided emissions from land use change.

scholarly journals Feeding efficiency gains can increase the greenhouse gas mitigation potential of the Tanzanian dairy sector

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
James Hawkins ◽  
Gabriel Yesuf ◽  
Mink Zijlstra ◽  
George C. Schoneveld ◽  
Mariana C. Rufino
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Ghg Emissions ◽  
Simulation Modelling ◽  
Greenhouse Gas Mitigation ◽  
Total Carbon ◽  
Dairy Production ◽  
Input Use ◽  
Attributional Life Cycle Assessment ◽  
Yield Gaps

AbstractWe use an attributional life cycle assessment (LCA) and simulation modelling to assess the effect of improved feeding practices and increased yields of feed crops on milk productivity and GHG emissions from the dairy sector of Tanzania’s southern highlands region. We calculated direct non-CO2 emissions from dairy production and the CO2 emissions resulting from the demand for croplands and grasslands using a land footprint indicator. Baseline GHG emissions intensities ranged between 19.8 and 27.8 and 5.8–5.9 kg CO2eq kg−1 fat and protein corrected milk for the Traditional (local cattle) and Modern (improved cattle) sectors. Land use change contributed 45.8–65.8% of the total carbon footprint of dairy. Better feeding increased milk yields by up to 60.1% and reduced emissions intensities by up to 52.4 and 38.0% for the Traditional and Modern sectors, respectively. Avoided land use change was the predominant cause of reductions in GHG emissions under all the scenarios. Reducing yield gaps of concentrate feed crops lowered emissions further by 11.4–34.9% despite increasing N2O and CO2 emissions from soils management and input use. This study demonstrates that feed intensification has potential to increase LUC emissions from dairy production, but that fertilizer-dependent yield gains can offset this increase in emissions through avoided emissions from land use change.

scholarly journals Greenhouse gas mitigation options in Brazil for land-use change, livestock and agriculture

2010 ◽  
Vol 67 (1) ◽  
pp. 102-116 ◽  
Author(s):  
Carlos Clemente Cerri ◽  
Martial Bernoux ◽  
Stoecio Malta Ferreira Maia ◽  
Carlos Eduardo Pellegrino Cerri ◽  
Ciniro Costa Junior ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Mitigation Strategies ◽  
Greenhouse Gas Mitigation ◽  
Mitigation Option ◽  
Mitigation Options ◽  
Option Values ◽  
Business As Usual

National inventories of anthropogenic greenhouse gas (GHG) emissions (implementation of the National Communications) are organized according to five main sectors, namely: Energy, Industrial Processes, Agriculture, Land-Use Change and Forestry (LUCF) and Waste. The objective of this study was to review and calculate the potential of greenhouse gas mitigation strategies in Brazil for the Agricultural and LUCF. The first step consisted in an analysis of Brazilian official and unofficial documents related to climate change and mitigation policies. Secondly, business as usual (BAU) and mitigation scenarios were elaborated for the 2010-2020 timeframe, and calculations of the corresponding associated GHG emissions and removals were performed. Additionally, two complementary approaches were used to point out and quantify the main mitigation options: a) following the IPCC 1996 guidelines and b) based on EX-ACT. Brazilian authorities announced that the country will target a reduction in its GHG between 36.1 and 38.9% from projected 2020 levels. This is a positive stand that should also be adopted by other developing countries. To reach this government goal, agriculture and livestock sectors must contribute with an emission reduction of 133 to 166 Mt CO2-eq. This seems to be reachable when confronted to our mitigation option values, which are in between the range of 178.3 to 445 Mt CO2-eq. Government investments on agriculture are necessary to minimize the efforts from the sectors to reach their targets.

Land Use Change Effects on Soil Quality in Prince Edward County, ON

2018 ◽  
Author(s):  
Kelsey Watts
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Land Use Change ◽  
Bulk Density ◽  
Soil Quality ◽  
Water Holding Capacity ◽  
Total Carbon ◽  
Prince Edward County ◽  
Effects Of Land Use ◽  
Water Holding

Soils play a critical role to society as a medium that facilitates crop production and also contributes to the energy and carbon balance of the Earth System. Land-use change and improper land-use is one of the dominant factors affecting soil erosion and nutrient loss in soils. We examined the effects of land-use change on an Elmbrook clay/clay-loam soil on a farm in Ameliasburg on the northern part of Prince Edward County. Three cover types were examined: a sod field (established for over 10 years), a wheat field (part of a wheat/corn/soybean rotation for 30 years) and an undisturbed deciduous forest. Under each land-use type, cores to a depth of 40 cm were collected along three random 30 m transects (at 8, 16 and 24 m), then divided them into 10 cm increments, combining all similar depth increments along one transect. Soil quality was assessed by analyzing various soil physical and chemical properties. Bulk density of the soil was much higher (1.55 vs. 0.95 g/cm3) in both agricultural ecosystems compared to the forest, but only in the 0-10 cm layer. Soil moisture at 60% water holding capacity was much greater for the forest than the sod and wheat soils. Soil pH was slightly lower in the forest compared to the sod and wheat fields. The sod and wheat fields showed losses of ~52% and ~53% organic matter, respectively, in contrast to the forested area. The greatest differences in organic matter and total carbon were found in the top 10 cm, likely due to the greater accumulation of litter at the ground surface in the forest compared to the agricultural sites. It appears that long-term (10 year) agricultural production has led to a decline in some, but not all, soil quality measures, particularly soil organic matter, bulk density and water holding capacity. These findings are consistent with much of the literature concerning the effects of land-use change on soil quality, and highlight the need to develop improved management systems to minimize losses in soil quality that can lead to declines in the productivity potential of soils over time.

scholarly journals Biofuel production and soil GHG emissions after land-use change to switchgrass and giant reed in the U.S. Southeast

2017 ◽  
Vol 7 (1) ◽  
pp. e00125 ◽  
Author(s):  
Andrea Nocentini ◽  
John Field ◽  
Andrea Monti ◽  
Keith Paustian
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Ghg Emissions ◽  
Biofuel Production ◽  
Giant Reed ◽  
The U.S

Mapping land use on Irish raised bogs using Sentinel-2 imagery and Google Earth Engine

2021 ◽  
Author(s):  
Wahaj Habib ◽  
John Connolly ◽  
Kevin McGuiness
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Use Change ◽  
Optical Sensors ◽  
Ghg Emissions ◽  
Google Earth ◽  
Good Prospect ◽  
Raised Bogs ◽  
Google Earth Engine ◽  
Sentinel 2

<p>Peatlands are one of the most space-efficient terrestrial carbon stores. They cover approximately 3 % of the terrestrial land surface and account for about one-third of the total soil organic carbon stock. Peatlands have been under severe strain for centuries all over the world due to management related activities. In Ireland, peatlands span over approximately 14600 km<sup>2</sup>, and 85 % of that has already been degraded to some extent. To achieve temperature goals agreed in the Paris agreement and fulfil the EU’s commitment to quantifying the Carbon/Green House Gases (C/GHG) emissions from land use, land use change forestry, accurate mapping and identification of management related activities (land use) on peatlands is important.</p><p>High-resolution multispectral satellite imagery by European Space Agency (ESA) i.e., Sentinel-2 provides a good prospect for mapping peatland land use in Ireland. However, due to persistent cloud cover over Ireland, and the inability of optical sensors to penetrate the clouds makes the acquisition of clear sky imagery a challenge and hence hampers the analysis of the landscape. Google Earth Engine (a cloud-based planetary-scale satellite image platform) was used to create a cloud-free image mosaic from sentinel-2 data was created for raised bogs in Ireland (images collected for the time period between 2017-2020). A preliminary analysis was conducted to identify peatland land use classes, i.e., grassland/pasture, crop/tillage, built-up, cutover, cutaway and coniferous, broadleaf forests using this mosaicked image. The land-use classification results may be used as a baseline dataset since currently, no high-resolution peatland land use dataset exists for Ireland. It can also be used for quantification of land-use change on peatlands. Moreover, since Ireland will now be voluntarily accounting the GHG emissions from managed wetlands (including bogs), this data could also be useful for such type of assessment.</p>

scholarly journals Biofuels and land-use changes: searching for the top model

2011 ◽  
Vol 1 (2) ◽  
pp. 224-232 ◽  
Author(s):  
Andre M. Nassar ◽  
Leila Harfuch ◽  
Luciane C. Bachion ◽  
Marcelo R. Moreira
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Policy Making ◽  
Agricultural Sector ◽  
Land Use Changes ◽  
Ghg Emissions ◽  
Biofuel Production ◽  
Policy Makers ◽  
Green House Gas ◽  
Biofuel Policies

The use of agricultural-based biofuels has expanded. Discussions on how to assess green house gas (GHG) emissions from biofuel policies, specifically on (non-observed) land-use change (LUC) effects involve two main topics: (i) the limitations on the existing methodologies, and (ii) how to isolate the effects of biofuels. This paper discusses the main methodologies currently used by policy-makers to take decisions on how to quantify LUCs owing to biofuel production expansion. It is our opinion that the concerns regarding GHG emissions associated with LUCs should focus on the agricultural sector as a whole rather than concentrating on biofuel production. Actually, there are several limitations of economic models and deterministic methodologies for simulating and explaining LUCs resulting from the expansion of the agricultural sector. However, it is equally true that there are avenues of possibilities to improve models and make them more accurate and precise in order to be used for policy-making. Models available need several improvements to reach perfection. Any top model requires a concentration of interdisciplinary designers in order to replicate empirical evidence and capture correctly the agricultural sector dynamics for different countries and regions. Forgetting those limitations means that models will be used for the wrong purposes.

MODELING LAND-USE CHANGE IMPACTS OF BIOFUELS IN THE GTAP-BIO FRAMEWORK

2012 ◽  
Vol 03 (03) ◽  
pp. 1250015 ◽  
Author(s):  
ALLA A. GOLUB ◽  
THOMAS W. HERTEL
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Computable General Equilibrium ◽  
Bilateral Trade ◽  
Crop Yields ◽  
Ghg Emissions ◽  
Biofuel Production ◽  
Cge Models

This paper reviews an analysis of land use change impacts of expanded biofuel production with GTAP-BIO computable general equilibrium (CGE) model. It describes the treatment of energy substitution, the role of biofuel by-products, specification of bilateral trade, the determination of land cover changes in response to increased biofuel feedstock production, and changes in crop yields – both at the intensive and extensive margins. The paper responds to some of the criticisms of GTAP-BIO and provides insights into the sensitivity of land use change and GHG emissions to changes in key parameters and assumptions. In particular, it considers an alternative specification of acreage response that takes into account the degree of land heterogeneity within agro-ecological zone (AEZ) for different AEZs and countries. The paper concludes with the discussion of alternative specifications of land mobility across uses employed in CGE models and the agenda for further research to narrow parametric and structural uncertainty to improve the model's performance.

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