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The Accuracy of Standwise Forest Inventory in Mature Stands

机译:成熟林分常规林分调查的准确性

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Traditionally forest resources are estimated in each compartment or stand with ocular standwise forest inventory. However, this inventory technique has shortages with measurement accuracy. In the study the accuracy of the standwise forest inventory was estimated by comparing the growing stock volume of the standwise inventory with the accurate (instrumental) re-measurements. Comparison was done with 4515 mature stands of pine (Pinus sylvestris L.), spruce (Picea abies (L.) Karst.), birch (Betula spp.), aspen (Populus tremula L.) and black alder (Alnus glutinosa L.). The stands’ measurements by callipers or by harvesters (recalculated to growing stock volume) were used for accurate re-measurements. The study results show that the volume of standwise forest inventory have relative bias of 17.6% (volume is underestimated by 17.6%) and relative root mean square error 27.5 % for the whole data. Spruce stands are more accurately measured and black alder stands - inaccurately. The accuracy of pine, birch and mixed stands was similar to overall trends. Stands with volume 200 - 300 m3 ha-1 are more accurately measured and stands with the volume less than 200 m3 ha-1 - most inaccurately. The accuracy of stands with the volume more than 300 m3 ha-1, decreases by increasing the volume of stands. The volume estimation of individual species has different trends in standwise forest inventory. The volume of pine and birch is overestimated and the volume of spruce, aspen and black alder is underestimated.
机译:传统上,每个森林或林分的林地资源都是按目视的林分森林清单进行估算的。但是,这种库存技术在测量精度方面存在不足。在这项研究中,通过将标准林木的不断增长的蓄积量与准确的(工具性)重新测量进行比较,估算了标准林木种群的准确性。将4515个成熟的松树(Pinus sylvestris L.),云杉(Picea abies(L.)Karst。),桦木(Betula spp。),白杨(Populus tremula L.)和黑al木(Alnus glutinosa L. )。 call尺或收割机对林分的测量(重新计算为不断增长的种群数量)被用于精确的重新测量。研究结果表明,整个森林的立木蓄积量的相对偏差为17.6%(体积被低估了17.6%),相对均方根误差为27.5%。云杉林分的测量更加准确,黑al木林的测量结果不准确。松木,桦木和混交林的准确性与总体趋势相似。体积200-300 m 3 ha -1 的林分更准确地测量,体积小于200 m 3 ha 的林分-1 -最不准确。体积大于300 m 3 ha -1 的林分精度会随着林分体积的增加而降低。单个物种的数量估计在静态森林资源调查中有不同的趋势。松树和桦树的体积被高估了,云杉,白杨木和黑al木的体积被低估了。

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