2023
DOI: 10.1016/j.tfp.2023.100460
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Balancing multiple forest management objectives under climate change in central Wisconsin, U.S.A.

Melissa S. Lucash,
Neil G. Williams,
Vivek Srikrishnan
et al.
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“…These findings are broadly consistent with previous research. At the stand scale, many prior studies have found that moderate-intensity harvest strategies like our thinned management condition minimized pairwise trade-offs between one or more biodiversity-and/or climate-related objectives (e.g., D 'Amato et al, 2011;Henneron et al, 2015;Krcmar et al, 2005;Lucash et al, 2023), and at landscape scales, uniform application of individual treatments involving intermediate levels of overstory retention commonly emerge as the multiobjective compromise when all objectives are weighted equally important (Carpentier et al, 2017;Fürstenau et al, 2007;Povak et al, 2022;Schwenk et al, 2012). However, it is also clear that for most realistic multiobjective portfolios, individual silvicultural treatment regimes are unlikely to be optimal for all objectives (e.g., Carpentier et al, 2017;Eyvindson et al, 2018;Seidl et al, 2007).…”
Section: Management Effects On Aggregate Multiobjective Trade-offsmentioning
confidence: 95%
“…These findings are broadly consistent with previous research. At the stand scale, many prior studies have found that moderate-intensity harvest strategies like our thinned management condition minimized pairwise trade-offs between one or more biodiversity-and/or climate-related objectives (e.g., D 'Amato et al, 2011;Henneron et al, 2015;Krcmar et al, 2005;Lucash et al, 2023), and at landscape scales, uniform application of individual treatments involving intermediate levels of overstory retention commonly emerge as the multiobjective compromise when all objectives are weighted equally important (Carpentier et al, 2017;Fürstenau et al, 2007;Povak et al, 2022;Schwenk et al, 2012). However, it is also clear that for most realistic multiobjective portfolios, individual silvicultural treatment regimes are unlikely to be optimal for all objectives (e.g., Carpentier et al, 2017;Eyvindson et al, 2018;Seidl et al, 2007).…”
Section: Management Effects On Aggregate Multiobjective Trade-offsmentioning
confidence: 95%