What they found
This study found that the spatial importance of land-use changes (LUCs) is critical, with 97% of averted mortalities potentially lost between best- and worst-case scenarios. Cost-benefit analyses focused solely on carbon uptake overlook substantial opportunities to simultaneously improve public health.
What they studied
Researchers developed a computational design framework to integrate ecosystem services into carbon neutrality goals for industrial landscapes. This framework explicitly models public health impacts of land-based pollution mitigation strategies, using a power generation case study.
Takeaways
The abstract focuses on findings; it does not give personal how-to steps.
About this paper
This study used a computational sustainable design framework to integrate ecosystem services into carbon neutrality goals for industrial landscapes. It explicitly modeled public health impacts within an integrated optimization framework, using a power generation case study to compare approaches.