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This dataset contains: (1) a time series of lake area extracted from two Landsat-derived datasets (GSWO and GLAD) for ~6 million lakes globally, (2) the annual median lake area of these lakes, calculated separately for each dataset and (3) the monthly median lake area of these lakes, calculated separately for each dataset. For lakes within the northern permafrost zone (i.e., above 50 degrees North and underlain by permafrost), the time series dataset extends 1984-2023. For all other lakes, the time series dataset covers the period 1999-2021. For all lakes, annual median and monthly medians are calculated for the period 1999-2021. 

Natural climate solutions have been proposed as a way to mitigate climate change by removing CO₂and other greenhouse gases from the atmosphere and increasing carbon storage in ecosystems. The adoption of such practices is required at large spatial and temporal scales, which means that local implementation across different land use and conservation sectors must be coordinated at landscape and regional levels. Here, we describe the spatiotemporal domains of research in the field of climate solutions and, as a first approximation, we use the Pacific Northwest (PNW) of the United States as a model system to evaluate the potential for coordinated implementations. By combining estimates of soil organic carbon stocks and CO₂fluxes with projected changes in climate, we show how land use may be prioritized to improve carbon drawdown and permanence across multiple sectors at local to regional scales. Our consideration of geographical context acknowledges some of the ecological and social challenges of climate change mitigation efforts for the implementation of scalable solutions.