Loss of Fauna
Imagine you are an ESG analyst. You want to estimate the biodiversity loss of fauna from the electronic and electrical equipment your company buys. How would you go about it?
A typical method involves using emission factors for gases like methane (CH4) and nitrous oxide (N2O) that are associated with the production, usage, and disposal of these products. These factors are often found in databases from environmental agencies or international organizations, like the IPCC or the EPA.
We take a different approach to biodiversity assessment for several reasons:
- Reliance on Secondary Data: Biodiversity reports based on secondary data, like industry averages, can be misleading and fail to accurately represent local ecosystem conditions.
- The Problem with Averages: Averages can obscure specific ecosystem details and variations. Detailed, location-specific data is crucial for accurate biodiversity assessments.
- The Value of Primary Data: Primary data, directly sourced from local ecosystems or reliable studies, provides a more accurate picture of biodiversity impacts, enabling more effective conservation strategies.
- Additionally, government and academic sources increasingly provide valuable biodiversity data, which can complement primary data gathered on-site.
At MobiCycle, we recommend two primary strategies for biodiversity conservation:
- Use of LCA Tools: Employ Life Cycle Assessment tools to assess impacts on biodiversity over a product's lifecycle. These tools help in understanding and minimizing adverse effects on ecosystems.
- Leverage Artificial Intelligence: Use AI to analyze complex environmental data sets, offering insights into biodiversity trends and helping to predict future impacts, leading to more informed conservation decisions.
By leveraging technology and detailed data, we aim to enhance our understanding and management of biodiversity impacts in the context of our operations and supply chains.