Exploring the branch wood supply potential of an agroforestry system with strategically designed harvesting interventions based on terrestrial LiDAR data

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dc.contributor.author Reckziegel, Rafael Bohn
dc.contributor.author Mbongo, Werner
dc.contributor.author Kunneke, Anton
dc.contributor.author Morhart, Christopher
dc.contributor.author Sheppard, Jonathan P.
dc.contributor.author Chirwa, Paxie W.
dc.contributor.author Du Toit, Ben
dc.contributor.author Kahle, Hans-Peter
dc.date.accessioned 2022-07-25T08:19:45Z
dc.date.available 2022-07-25T08:19:45Z
dc.date.issued 2022-04-22
dc.description Supplementary File S1. Figure S1: Individual tree point clouds identified by colours (up), leaf-on mode evidenced by intensity values (middle), and the leaf-off point clouds (bottom); Figure S2: Stand-level wood assortments available in linear meters for each simulated harvesting treatment; Figure S3: Boxplots of the absolute branch volume removal in each harvesting simulation with the red crosses representing treatment means; Table S1: QSM-derived tree parameters for trees in the stand (n = 66); Table S2: Optimised QSM input parameters for each tree; Table S3: Summary of available assortments and yields per harvesting treatment. en_US
dc.description Supplementary File S2 contains the assessment of assortments on a tree basis for each harvesting simulation.
dc.description.abstract Agroforestry systems hold potential for wood and tree biomass production without the need of felling trees. Branch wood harvesting provides access to considerable amounts of lignocellulosic biomass while leaving the tree standing. Aiming at alternatives for wood provision, we assessed the actual woody structure of a silvopastoral system in the African Savannah ecoregion, utilising terrestrial LiDAR technology and quantitative structure models to simulate branch removals and estimate harvesting yields. In addition, the stand structure and harvested wood were examined for the provision of four types of assortments meeting local needs, and operational metrics for each treatment were derived. The stand had large variability in woody structures. Branch harvesting interventions removed up to 18.2% of total stand volume, yielded 5.9 m3 ha−1 of branch wood, and delivered 2.54 m3 ha−1 of pole wood quality, retaining on average more than 75% of the original tree structures. Among the most intense simulations, a mean of 54.7 litres (L) of branch wood was provided per tree, or approximately 34.2 kg of fresh biomass. The choice of an ideal harvesting treatment is subject to practitioners’ interests, while the discussion on aspects of the operation, and stand and tree conditions after treatment, together with outputs, assist decision making. The partitioning of tree structures and branch removal simulations are tools to support the design of tending operations aiming for wood and tree biomass harvesting in agroforestry systems while retaining different functional roles of trees in situ. en_US
dc.description.department Plant Production and Soil Science en_US
dc.description.librarian dm2022 en_US
dc.description.sponsorship The German Federal Ministry of Education and Research (BMBF). The article processing charge was funded by the Baden-Württemberg Ministry of Science, Research and Art and the University of Freiburg in the funding programme Open Access Publishing. en_US
dc.description.uri https://www.mdpi.com/journal/forests en_US
dc.identifier.citation Bohn Reckziegel, R.; Mbongo, W.; Kunneke, A.; Morhart, C.; Sheppard, J.P.; Chirwa, P.; du Toit, B.; Kahle, H.-P. Exploring the Branch Wood Supply Potential of an Agroforestry System with Strategically Designed Harvesting Interventions Based on Terrestrial LiDAR Data. Forests 2022, 13, 650. https://doi.org/10.3390/f13050650. en_US
dc.identifier.issn 1999-4907 (online)
dc.identifier.other 10.3390/f13050650
dc.identifier.uri https://repository.up.ac.za/handle/2263/86418
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_US
dc.subject Namibia en_US
dc.subject Savannah en_US
dc.subject Silvopasture en_US
dc.subject pruning en_US
dc.subject Biomass en_US
dc.subject Agroforestry systems (AFS) en_US
dc.subject Quantitative structure models (QSMs) en_US
dc.subject Light detection and ranging (LiDAR) en_US
dc.subject Terrestrial laser scanning (TLS) en_US
dc.title Exploring the branch wood supply potential of an agroforestry system with strategically designed harvesting interventions based on terrestrial LiDAR data en_US
dc.type Article en_US


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