Optimizing Aggregation of Small Forest Stands for Thinning Operations: A Case Study in Nasushiobara, Tochigi Prefecture, Japanns: A Case Study in Nasushiobara, Tochigi Prefecture, Japan.
Optimizing Aggregation of Small Forest Stands for Thinning Operations: A Case Study in Nasushiobara, Tochigi Prefecture, Japanns: A Case Study in Nasushiobara, Tochigi Prefecture, Japan.
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优化小型林分聚集以进行间伐作业:日本栃木县那须盐原市的案例研究:日本栃木县那须盐原市的案例研究。
DOI:
10.1007/s11842-022-09502-2
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发表时间:
2022
影响因子:
1.5
通讯作者:
K.
中科院分区:
文献类型:
--
作者:
Hosaka;K.;Konoshima;M.;Uemura;R.;Aruga;K.
Aggregation of small forest stands into larger management units has been one of the main challenges to improve the management scheme in Japan where the majority of forest owners are small-scale owners. Doing so can improve the efficiency of thinning operations by expanding forest operation sites and by building more efficient road networks over the aggregated management units through the coordination and consolidation of the management practices of small-scale forest owners and resulting in reduced operating costs. We develop a spatially explicit 0–1optimization model that searches for optimal aggregation patterns considering spatial locations of nearby forest roads. In order to take into account the connectivity of forest roads among aggregated management units for logging and hauling, we assume aggregated units located away from a nearby road must be treated only after the aggregated units that act as the pathway to the road are harvested. We solve the 0–1 integer programming problem sequentially in each period of time. We demonstrate our approach using a part of a forest in Nasushiobara, Tochigi prefecture, Japan. Our study forest consists of 1346 forest management units covering an area of 876 ha. We consider various management scenarios and search for the optimal solution to each scenario. Each management scenario has a different set of constraints (e.g., volume flow constraint, the maximum allowable area for aggregation per period, etc.) to be satisfied. Our simulation results show that our proposed approach is able to provide useful information to help forest managers to develop an aggregation plan based on analytical framework that allows us to consider forest growth within and among aggregated units as well as the potential road network connectivity for the entire landscape.