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Allometric Models to Predict Aboveground Woody Biomass of Black Locust ( Robinia pseudoacacia L.) in Short Rotation Coppice in Previous Mining and Agricultural Areas in Germany

机译:异位模型预测德国以前的采矿和农业地区短轮伐期刺槐(Robinia pseudoacacia L.)的地上木质生物量

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Black locust is a drought-resistant tree species with high biomass productivity during juvenility; it is able to thrive on wastelands, such as former brown coal fields and dry agricultural areas. However, research conducted on this species in such areas is limited. This paper aims to provide a basis for predicting tree woody biomass for black locust based on tree, competition, and site variables at 14 sites in northeast Germany that were previously utilized for mining or agriculture. The study areas, which are located in an area covering 320 km × 280 km, are characterized by a variety of climatic and soil conditions. Influential variables, including tree parameters, competition, and climatic parameters were considered. Allometric biomass models were employed. The findings show that the most important parameters are tree and competition variables. Different former land utilizations, such as mining or agriculture, as well as growth by cores or stumps, significantly influenced aboveground woody biomass production. The new biomass models developed as part of this study can be applied to calculate woody biomass production and carbon sequestration of Robinia pseudoacacia L. in short rotation coppices in previous mining and agricultural areas.
机译:刺槐是一种抗旱树种,在幼年期具有较高的生物量生产力。它能够在荒原(例如以前的褐煤田和干燥的农业地区)上壮成长。但是,在此类地区对该物种进行的研究有限。本文旨在为根据德国东北部14个曾经用于采矿或农业的地点的树木,竞争和地点变量预测黑刺槐的树木木质生物量提供基础。研究区域位于320 km×280 km的区域,具有各种气候和土壤条件。考虑了影响变量,包括树木参数,竞争和气候参数。使用异速生物质模型。研究结果表明,最重要的参数是树木和竞争变量。以前不同的土地利用方式,例如采矿或农业,以及核心或树桩的增长,对地上木质生物量的生产产生了重大影响。作为本研究的一部分而开发的新生物量模型可用于计算先前采矿和农业地区短轮伐时刺槐的木质生物量生产和碳固存。

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