Management of black Locust (Robinia pseudoacacia L.) stands in Hungary

Rédei, Károly

doi:10.1007/bf02860087

Cited by 31 publications

(43 citation statements)

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“…The maximum nectar yield is 836 kg/ha of nectar and 418 kg/ha of honey. The lowest yield is documented for year 36 with 384 kg/ha of nectar and 192 kg/ha of honey [3]. These results of Hungarian scientists are consistent with those of Droege [84], who reports that honey production of R. pseudoacacia ranges from 195 to 1000 kg/ha.…”

Section: Discussionsupporting

confidence: 83%

Robinia pseudoacacia L. Flower Analyzed by Using An Unmanned Aerial Vehicle (UAV)

et al. 2017

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Tree flowers are important for flower-insect relationships, seeds, fruits, and honey production. Flowers are difficult to analyze, particularly in complex ecosystems such as forests. However, unmanned aerial vehicles (UAVs) enable detailed analyses with high spatial resolution, and avoid destruction of sensitive ecosystems. In this study, we hypothesize that UAVs can be used to estimate the number of existing flowers, the quantity of nectar, and habitat potential for honeybees (Apis mellifera). To test this idea, in 2017 we combined UAV image analysis with manual counting and weighing of the flowers of eight-year-old black locust (Robinia pseudoacacia L.) trees to calculate the number of flowers, their surface area, and their volume. Estimates of flower surface area ranged from 2.97 to 0.03% as the flying altitude above the crowns increased from 2.6 m to 92.6 m. Second, for the horizontal analysis, a 133 m 2 flower area at a one-hectare black locust plantation was monitored in 2017 by a UAV. Flower numbers ranged from 1913 to 15,559 per tree with an average surface area of 1.92 cm 2 and average volume of 5.96 cm 3 . The UAV monitored 11% of the total surface and 3% of the total volume. Consequently, at the one-hectare black locust study area we estimate 5.3 million flowers (69 kg honey), which is sufficient for one bee hive to survive for one year.

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Section: Discussionsupporting

confidence: 83%

Robinia pseudoacacia L. Flower Analyzed by Using An Unmanned Aerial Vehicle (UAV)

et al. 2017

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“…The objective of tending is to produce a high proportion of good quality saw-logs from stands on good sites; some saw-logs and a high proportion of poles and props from stands on medium quality sites and poles, props and other small-dimension industrial wood from the rest of the stands (Rédei 1992).…”

Section: Stand Establishment Tending and Yieldmentioning

confidence: 99%

Influence of Regeneration Method on the Yield and Stem Quality of Black Locust (Robinia pseudoacacia L.) Stands: a Case Study

Rédei¹,

Csiha²,

Keserű³

et al. 2012

Acta Silvatica Et Lignaria Hungarica

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-Black locust (Robinia pseudoacacia L.) is one of the most important forest tree species in Hungary, covering approximately 23% of the forested land and providing 25% of the annual timber output of the country. One third of these black locust stands are high forests (planted with seedlings) and the remainder coppices. According to the forestry regulations black locust stands can be regenerated both by root suckers and with seedlings in Hungary. This study investigates the influence of different regeneration methods on wood production, stem quality and health. Properly managed regeneration from root suckers produced a higher yield than regeneration from seedlings at a harvest age of 35-37 years. The results show that regeneration of black locust stands from root suckers can be recommended on good and medium quality sites without a decrease in yield or stem quality. Robinia pseudoacacia L. / regeneration methods / yield / health conditionKivonat -Különböző felújítási módok hatása akácosok hozamára: esettanulmány. Az akác (Robinia pseudoacacia L.) az egyik legfontosabb állományalkotó fafaj Magyarországon, az erdőterület mintegy 23%-át borítja és az ország éves faanyag-termelésének 25%-át adja. Ezen akácállományok egyharmada szálerdő (mageredetű), a maradék pedig sarj eredetű. Magyarországon a szakmai előírások értelmében az akácosok magról és gyökérsarjról újíthatók fel. A dolgozat különböző felújítási módoknak a fatermésre, a törzsminőségre, illetve a fák egészségi állapotára gyakorolt hatását vizsgálja. A számított adatok szerint a gyökérsarjról történő szakszerű és gondos felújítás a 35-37 éves véghasználati korban magasabb hozamot eredményezett, mint a magról történő felújítás. A vizsgálati eredmények alapján az akácosok gyökérsarjról történő felújítása elsősorban a jó és közepes termőhelyeken ajánlott a fatermés csökkenése nélkül. Fehér akác / felújítási módok / fatermés / egészségi állapot

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“…Although numerous studies exist dealing with the biomass productivity of black locust [19,20,31,34,35,37,38,64,72,73], the existing tools are very limited for quantifying the behavior of black locust in SRC in previous brown coal mining and agricultural areas. However, the benefit of Robinia pseudoacacia L. in SRC for our society, ecology, and economy lies in biomass and energy production, as well as carbon sequestration.…”

Section: Correlation Of Stand Parameter and Allometric Biomass Modelsmentioning

confidence: 99%

“…The most frequently used independent variables for tree biomass equations are RCD, DBH, H, and age (tree stem parameter), particularly for black locust [19,20,31,[34][35][36][37][38]. Modelling by employing mixed models, as used by Forrester et al [74], Grote et al [75], and Pretzsch et al [76] has the advantage of being applicable at different geographical and differently structured sites.…”

Section: Correlation Of Stand Parameter and Allometric Biomass Modelsmentioning

confidence: 99%

See 1 more Smart Citation

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

Carl

Biber

Landgraf

et al. 2017

Forests

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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.

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Management of black Locust (Robinia pseudoacacia L.) stands in Hungary

Cited by 31 publications

References 0 publications

Robinia pseudoacacia L. Flower Analyzed by Using An Unmanned Aerial Vehicle (UAV)

Robinia pseudoacacia L. Flower Analyzed by Using An Unmanned Aerial Vehicle (UAV)

Influence of Regeneration Method on the Yield and Stem Quality of Black Locust (Robinia pseudoacacia L.) Stands: a Case Study

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

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