Local approach needed to tackle emissions in livestock industry
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A study has revealed the benefits of a more localised approach in the battle to drive down emissions within the livestock industry, with a new web tool designed for farmers to assess the carbon footprint of their farms.
The agricultural industry, in particular the livestock sector, is responsible for a sizeable chunk of global greenhouse house gas (GHG) emissions. Yet a study from the Euro-Mediterranean Center on Climate Change (CMCC) has been looking at way in which the so-called “land sector” can become a solution to the climate crisis, rather than one of its main drivers.
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Greenhouse gas (GHG) emissions from agriculture, forestry and other land uses (AFOLU sector) cover the 24% of global emissions, representing the second hot spot in the contribution to climate change after the energy sector.
The main drivers are CO2 emissions from deforestation, methane (CH4) emissions produced by ruminant livestock and by anaerobic fermentation of organic matter, mainly from rice crops, and nitrous oxide (N2O) emissions from fertilizer use. Thus, the land sector plays a crucial role in the contribution to climate change.
A new study lead by the CMCC Foundation explores to which extent sustainable land management options applied at small-scale rural landscape level can be a valuable solution for increasing the mitigation potential of the land sector. In particular, possible land-based mitigation options are identified to reduce and offset GHG emissions from the livestock sector that represents one of the main sources of GHG emissions of the whole agricult
Covid-19 influenced by atmospheric pollutants exposure: Study
December 19, 2020
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The spread of SARS-CoV-2 is speculated to be influenced by short-term and long-term atmospheric pollutants exposure, mainly particulate matter (PMs).
This could lead to the possibility of reporting of severe cases of Covid-19 around highly industrialized areas because of higher pollution levels, as per the study published in the journal
Environmental Pollution.
The study noted that atmospheric pollutants can act as virus carriers and boost pandemic diffusion.
The research was led by the Euro-Mediterranean Center on Climate Change (CMCC) Foundation and carried out in collaboration with the University of Salento and the Italian National Institute of Health (ISS).
Study Highlights Link Between Atmospheric Pollutants and COVID-19 Incidence
Written by AZoCleantechDec 17 2020
A thorough study targeted the probable connection between a low air quality index and COVID-19 spread in Italy, in Q2 of 2020.
Image Credit: Euro-Mediterranean Center on Climate Change (CMCC) Foundation.
Led by the Euro-Mediterranean Center on Climate Change (CMCC) Foundation, the study points toward the possible short-term correlation between exposure to three familiar atmospheric pollutants (PM
10, PM
2) and COVID-19 incidence, lethality and mortality rates.
It has been speculated that the spread of SARS-CoV-2, the coronavirus that caused the present pandemic outbreak, is associated with short-term and long-term exposure to atmospheric pollutants, mostly particulate matters (PMs).
Atmospheric pollution and COVID-19 spread in Italy
The spread of SARS-CoV-2, the coronavirus responsible for the current pandemic outbreak, has been speculated to be linked to short-term and long-term atmospheric pollutants exposure, mainly particulate matters (PMs). It is in fact possible for people living in highly industrialized areas, therefore exposed to higher pollution levels, to show more severe symptoms. Further studies have pointed out that atmospheric pollutants can act as virus carriers and boost pandemic diffusion.
A study recently published on Environmental Pollution searched for any potential short-term correlation between these two phenomena.
The research led by the Euro-Mediterranean Center on Climate Change (CMCC) Foundation and carried out in collaboration with the University of Salento and the Italian National Institute of Health (ISS) focused on the analysis of atmospheric pollutants concentrations (PM10, PM2.5, NO2) along with the spatio-temporal distribut