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Tree-Nation x FuseMetrix

Here at FuseMetrix, we’re passionate about the planet. That’s why we’ve partnered with Tree-Nation to minimise our environmental impact. 
Keeping our carbon footprint as low as we can is really important to us, and Tree-Nation are helping us to achieve this. A non-profit organisation, their mission is to reforest the world using their digital platform. They compensate for the carbon emissions generated by our website by tracking its usage and automatically compensating accordingly with the planting of trees. 
So far, Tree-Nation have planted nearly 23.5 million trees on behalf of partners like us. They're on track to achieving their mission of planting 1 trillion trees by 2050.
This is time and time again proven to be one of the most effective methods for combatting climate change. Forests serve to be one of the earth‘s greatest carbon capture systems, so unsurprisingly, deforestation is contributing around 18% of the world’s carbon emissions. Without the carbon storage provided by forests it will be impossible to solve the climate crisis. The Paris Agreement report indicated that without carbon storage, the rising temperature on earth would reach cataclysmic levels. Hence why planting trees is a necessary step in the fight against climate destruction. 
This year to date so far, we’ve planted 390 trees to offset the carbon emissions created by our website. That’s 0.27 hectares of land that has been reforested as a direct impact of our website’s traffic. They’re not just planting any old trees on our behalf either, they have been carefully selected to promote the greatest biodiversity within the forests. 
We’re proud that 151.64 tonnes of carbon have been captured thanks to the few trees planted on behalf of FuseMetrix. We hope to continue to grow our forest and minimise our environmental impact as much as possible. 
You can find out more about our climate friendly endeavours by having a look at our environmental policy here.
Want to know more about Tree Nation? Here's our progress with them: