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 trade-offs 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 mean optimal rotation lengths across all sites was 94 yr (standard deviation of sample means = 44 yr), 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 vs. 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 yr with a high albedo baseline, and increasing the mean rotation to 112 yr 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.
ABSTRACT. Deliberative methods for valuing ecosystem services are hypothesized to yield group preferences that differ systematically from those that would be obtained through calculative aggregation of the preferences of participating individuals. We tested this hypothesis by comparing the group consensus results of structured deliberations against a variety of aggregation methods applied to individual participant preferences that were elicited both before and after the deliberations. Participants were also asked about their perceptions of the deliberative process, which we used to assess their ability to detect preference changes and identify the causes of any changes. For five of the seven groups tested, the group consensus results could not have been predicted from individual predeliberation preferences using any of the aggregation rules. However, individual postdeliberation preferences could be used to reconstruct the group preferences using consensual and rank-based aggregation rules. These results imply that the preferences of participants changed over the course of the deliberation and that the group preferences reflected a broad consensus on overall rankings rather than simply the pairwise preferences of the majority. Changes in individual preferences seem to have gone largely unnoticed by participants, as most stated that they did not believe their preferences had substantially changed. Most participants were satisfied with the outcome of the deliberation, and their degree of satisfaction was correlated with the feeling that their opinion was heard and that they had an influence on the outcome. Based on our results, group deliberation shows promise as a means of generating ecosystem service valuations that reflect a consensus opinion rather than simply a collection of personal preferences.
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 infl uence 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 trade-offs 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 mean optimal rotation lengths across all sites was 94 yr (standard deviation of sample means = 44 yr), 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 vs. a post-harvest landscape were the most important variables that infl uenced optimal rotation. Additionally, we found that the choice of a baseline albedo value for each site signifi cantly altered the optimal rotation lengths across all sites, lowering the mean rotation to 59 yr with a high albedo baseline, and increasing the mean rotation to 112 yr 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 signifi cantly across the state.
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