Understanding Carbon Modelling: A Vital Tool for a Sustainable Future
The need to act on climate change has never been more urgent. Manifesting in increased frequency of extreme weather events, the climate crisis is here. The adoption of sustainable practices and technologies to reduce carbon emissions is crucial. One of the key tools in this endeavor is carbon modelling.
Green Analytics is at the forefront of modelling the carbon dynamics of natural and human systems to inform policy and management decisions and help chart a path to a sustainable future.
What is Carbon Modelling?
Carbon modelling, also known as carbon accounting or carbon footprint analysis, is a systematic approach to estimate and track the greenhouse gas emissions produced and stored by natural systems and human activities. These emissions, primarily carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4), are significant contributors to climate change. Carbon modelling involves identifying and quantifying the sources of greenhouse gas emissions by collecting data on energy consumption and fuel use and then using models and emission factors to convert this information into estimates of emissions. A carbon balance is established by also quantifying the uptake of greenhouse gas emissions by natural systems including forests and soils. The process also includes scenario analysis to understand the impact of different actions and strategies on total emissions.
Why is Carbon Modelling Important?
There is no “carbon meter” on the planet. Decision makers don’t get daily reads on the global carbon balance. So how are we to know the balance of carbon uptake and emissions without exhaustive measurements? Yes, we can measure the CO2 content of the atmosphere, but that only tells half the story. The contribution of individual human activities to the planetary carbon balance needs to be quantified. Yet it is not practical to continuously measure planet-wide carbon emissions from every imaginable source. In the absence of continuous, global, measurements, scientifically credible models must take the place to fill the knowledge gaps. Modelling the carbon exchange of natural systems and human activities fills several key roles for society and decision makers.
Awareness and Accountability: Carbon modeling allows us to understand the roles of various natural systems and anthropogenic activities on the environment. It raises awareness about the carbon footprint of various products, and services.
Setting Targets: To combat climate change effectively, we need clear, measurable targets for reducing emissions. Carbon modeling provides the data necessary to set realistic and achievable goals. Without a clear understanding of our carbon emissions, it's challenging to establish meaningful targets for reduction.
Informed Decision-Making: Carbon modelling empowers individuals, businesses, and policymakers to make informed decisions. It helps identify high-emission activities or processes that can be modified or replaced with more sustainable alternatives. This informed decision-making is essential for driving change.
Regulatory Compliance: Many governments and regulatory bodies require organizations to report their emissions and adhere to emission reduction targets. Carbon modelling is essential for compliance with these regulations, ensuring that industries are doing their part to mitigate climate change.
Enhances and Expands Scientific Knowledge: Carbon modelling of natural systems often involves collaboration of multi-disciplinary scientists. Decomposition rates, thus carbon exchange rates, are influenced by the presence of water, slope, elevation and other factors. It is not uncommon for foresters, biologists, chemists, geologists and ecologists to work together to produce better carbon models. Science evolves through carbon modelling.
Emission Reduction Strategies: Carbon modelling provides the foundation for developing effective emission reduction strategies. By simulating different scenarios and actions, it becomes possible to prioritize efforts and resources for maximum impact.
Transparency and Communication: Reporting on carbon emissions and reduction efforts enhances transparency and builds trust with stakeholders, including customers, investors, and the public. It's a vital component of corporate social responsibility and sustainability efforts.
Global Collaboration: Carbon modelling is a global effort. It enables countries and regions to work together, share best practices, and coordinate their actions to achieve international climate agreements. Climate change is a shared responsibility; we’re all in this together!
The Path to a Sustainable Future
As the 21st century unfolds, carbon modeling is a tool which will shape the path to a more sustainable and resilient future. It allows us the opportunity to take responsibility for the carbon emissions we produce, to make smarter choices, and to develop strategies that lead to a healthier planet.
Two weeks ago, Green Analytics’ sister company, Green Metrics, attended DIGITAL’s AI Powered Housing Growth Innovation Workshop hosted by Microsoft Vancouver to learn from industry leaders about the issues plaguing the commercial and residential real estate sector.
The NAD tool is a custom tool that uses GIS to process numerous open-source datasets to generate natural asset inventories across Canada. Built by our team of experts, the NAD tool provides GA with the ability to efficiently create a natural asset inventory anywhere in Canada, using national scale, freely available data from a variety of sources.
