Data from: Tradeoffs between three forest ecosystem services across the state of New Hampshire, USA: timber, carbon, and albedo
Lutz, David A. et al. (2015), Data from: Tradeoffs between three forest ecosystem services across the state of New Hampshire, USA: timber, carbon, and albedo, Dryad, Dataset, https://doi.org/10.5061/dryad.5vv6t
Forests are more frequently being managed to store and sequester carbon for the purposes of climate change mitigation. Generally, this practice involves long-term conservation of intact mature forests and/or reductions in the frequency and intensity of timber harvests. However, incorporating the influence of forest surface albedo often suggests that long rotation lengths may not always be optimal in mitigating climate change in forests characterized by frequent snowfall. To address this, we investigated tradeoffs between three ecosystem services: carbon storage, albedo-related radiative forcing, and timber provisioning. We calculated optimal rotation length at 498 diverse Forest Inventory and Analysis forest sites in the state of New Hampshire, USA. We found that the average optimal rotation lengths across all sites is 94 years (s = 44), with a large cluster of short optimal rotation lengths that were calculated at high elevations in the White Mountain National Forest. Using a regression tree approach, we found that timber growth, annual storage of carbon, and the difference between annual albedo in mature forest versus a post-harvest landscape were the most important variables that influenced optimal rotation. Additionally we found that the choice of a baseline albedo value for each site significantly altered the optimal rotation lengths across all sites, lowering the mean rotation to 59 years with a high albedo baseline, and increasing the mean rotation to 112 years given a low albedo baseline. Given these results, we suggest that utilizing temperate forests in New Hampshire for climate mitigation purposes through carbon storage and the cessation of harvest is appropriate at a site-dependent level that varies significantly across the state.