Thea: Supply Chain Carbon Analysis Extension

面对气候变化和生物多样性丧失，越来越需要私营部门参与环境管理和监测。国家和国际努力支持了碳信用市场的早期发展，允许排放者通过投资于具有固碳能力的项目来抵消排放。此外，来自投资者的压力越来越大，要求公司在董事会层面考虑环境、社会和治理（ESG）因素。在无法减少排放或环境影响的情况下，组织可以寻求自愿抵消以减少其总体足迹。在英国，这通常包括改善泥炭地等自然资产，或创造新的林地。然而，考虑到决策中固有的许多权衡，以及当前低水平的监管，什么是合理的投资存在一些模糊性。例如，非本地树种的大型种植园是固碳的好方法，但对生物多样性和本地生态系统来说可能是可怕的。EOLAS Insight正在开发工具，支持土地管理者做出决策，以最佳地优化其自然资产的创收潜力。通过遵循自然资本方法，即为自然赋予货币价值，我们可以更好地理解并围绕可持续增长做出权衡。目前，人工智能、卫星图像和地面数据收集被用于测量和分类自然资产，并寻找需要修复的地点。通过扩展EOLAS现有的工具组合，该项目将为希望减少排放和供应链决策影响的组织创造一种新的高度创新的服务。该工具将允许用户根据新设施或资源开采等决策，在地理空间上评估环境变化，并提供对碳影响的估计。如果需要，用户将被链接到现有的项目，这些项目可以抵消决策的一些影响，如泥炭地恢复，或新的原生林地计划。通过向决策者提供更多的见解，该项目将允许在新项目的规划阶段充分考虑碳。这将允许在早期项目财务规划的同时进行环境规划，并预先确定环境缓解方法。因此，该工具将支持供应链的脱碳，并促进基于健全、标准化和透明的环境原则的组织净零转型。

In the face of climate change and biodiversity loss there is an ever increasing need for private sector participation in environmental management and monitoring. National and international efforts have supported the early developments of markets for carbon credits, allowing emitters to offset emissions by investment in projects which demonstrate the ability to sequester carbon. Additionally there is increasing pressure from investors for companies to consider the Environmental, Social and Governance (ESG) factors of decisions at board level.Where it is not possible to reduce emissions or environmental impacts organisations may look to voluntary offsetting to reduce their overall footprint. In the UK this generally includes improvement to natural assets such as peatlands, or creation of new woodland. There is however some ambiguity on what constitutes a sound investment, given the many trade-offs inherent in decision making, and current low levels of regulation. For example large plantations of non-indigenous tree species are a good way to sequester carbon, but can be terrible for biodiversity and indigenous ecological systems.EOLAS Insight are developing tools which support land managers in making decision to best optimise the revenue creating potential of their natural assets. By following Natural Capital approaches, which assign a monetary value to nature, we can better understand and make trade-offs around sustainable growth. Artificial Intelligence, satellite based imagery and ground based data collection are currently used to measure and classify natural assets, and to look for sites for restoration.By extending the current portfolio of tools at EOLAS this project will create a new and highly innovative service for organisations looking to reduce the emissions and impacts of their supply chain decisions. The tool will allow the user to geospatially assess changes to the environment based on decisions such as new facilities or resource extraction, and provide estimates on the carbon impacts. If required, the user will then be linked to existing projects which could offset some of the impacts of the decision such as peatland restoration, or new native woodland schemes.By providing more insight to decision makers the project will allow carbon to be considered fully during the planning phase of new projects. This will allow for environmental planning alongside early project financial planning, and environmental mitigation methods to be defined up front. As such the tool will support the decarbonisation of supply chains and facilitate organisational Net Zero transitions based on sound, standardised and transparent environmental principles.