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首页> 外文期刊>Allgemeine Forst und Jagdzeitung >Models for the optimal management of Pinus radiata D. Don in Galicia (north-western Spain) under risk of fire
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Models for the optimal management of Pinus radiata D. Don in Galicia (north-western Spain) under risk of fire

机译:火灾风险下的加利西亚(西班牙西北部)辐射松D. Don的最佳管理模型

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摘要

This study presents regression models for the optimal management of even-aged Pinus radiata D. Don stands in Galicia under the risk of forest fires. P. radiata is an economically important species in the region but lacks management instructions basedon systematic analyses. The study employed a growth and yield model and optimisation to produce data for regression analysis. The objective variable of optimisation was soil expectation value. Optimisations were done for nine initial stands that represent the existing range of variation in site productivity and planting density of P. radiata in Galicia. Several prices for three different timber assortments were used in the optimisations, as well us different discounting rates. To characterise the risk of fire, two variables were varied, probability of fire and salvage percentage. Based on the results of the optimisations, regression models for the optimal rotation length and optimal timing and type of the thinnings were developed. The results show thathigh probability of fire and high discounting rate lead to short rotations (21 to 32 years) and heavy thinnings. When the risk of fire and the discounting rate are low, much longer rotations (53 to 64 years) are needed to maximise profitability. As logical, increasing salvage percentage decreases the effect of the probability of fire. Higher site index and increased price of medium-sized timber shorten optimal rotations while increasing planting density and price of large timber lead to longer rotationlengths.
机译:这项研究提出了用于最佳管理均匀年龄辐射松D的回归模型。唐站在加里西亚的森林火灾风险下。辐射疟原虫是该地区重要的经济物种,但缺乏基于系统分析的管理指导。该研究采用了增长和产量模型并进行了优化,以生成用于回归分析的数据。优化的目标变量是土壤期望值。对9个初始林分进行了优化,这些林分代表了加利西亚辐射松的站点生产力和种植密度的现有变化范围。在优化中使用了三种不同木材分类的几种价格,以及我们不同的折现率。为了描述着火的危险,改变了两个变量,着火的可能性和救助百分比。根据优化结果,开发了最佳旋转长度和最佳时间和间苗类型的回归模型。结果表明,发生火灾的可能性高和折现率高,导致轮换时间短(21至32年)和薄化。当发生火灾的风险和折现率较低时,需要更长的轮换时间(53至64年)以最大化获利能力。顺理成章的是,增加打捞百分比会降低起火概率的影响。较高的立地指数和中型木材的价格上涨缩短了最佳轮作周期,而增加了种植密度,大型木材的价格导致了更长的轮伐期。

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