Preprints
https://doi.org/10.5194/essd-2023-478
https://doi.org/10.5194/essd-2023-478
21 Dec 2023
 | 21 Dec 2023
Status: this preprint is currently under review for the journal ESSD.

Multivariate characterisation of a blackberry-alder agroforestry system in South Africa: Hydrological, pedological, dendrological and meteorological measurements

Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard

Abstract. Trees established in linear formations can be utilised as windbreak structures on farms as a form of agroforestry system. We present an extensive data package collected from an active berry farm located near Stellenbosch, South Africa considering hydrological, pedological, dendrological and meteorological measurements centred around an Italian alder (Alnus cordata (Loisel.) Duby) windbreak and a blackberry (Rubus fruticosus L. Var. 'Waldo') crop. Data was collected between September 2019 and June 2021. The data is available from Hassler et al. (2023) and includes: solar radiation, precipitation characteristics, vapour pressure deficit, air temperature, humidity, atmospheric pressure, wind speed and direction, gust speed, lightning strikes and distance recorded at 10 minute intervals; soil moisture and matric potential in two profiles at 15 minute intervals alongside soil samples at various depths describing soil texture, hydraulic conductivity and water retention parameters; a soil profile description accompanied by 60 topsoil samples describing carbon and nitrogen and exchangeable base cation concentrations as well as potential cation exchange capacity and descriptions of soil texture; dendrological measurements present point cloud data for the study windbreak trees and surrounding features alongside cylinder models of the windbreak trees with volume and biomass data, foliage data as a product of an existing leaf creation algorithm is also given. The provided data is intended to explore the interaction between trees and crops in agroforestry landscapes.

Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard

Status: open (until 15 Mar 2024)

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  • RC1: 'Comment on essd-2023-478', Anonymous Referee #1, 23 Jan 2024 reply
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Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard

Data sets

Hydrological, pedological, dendrological and meteorological measurements in a blackberry-alder agroforestry system in South Africa Sibylle K. Hassler et al. https://dataservices.gfz-potsdam.de/panmetaworks/review/eb7c7f03ca6d02f7d650884baf4633a8f94eaf4b1c2dfb025f1671c5dcba2638

Sibylle Kathrin Hassler, Rafael Bohn Reckziegel, Ben du Toit, Svenja Hoffmeister, Florian Kestel, Anton Kunneke, Rebekka Maier, and Jonathan Paul Sheppard

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Short summary
Agroforestry systems (AFS) combine trees and crops within the same land unit providing a sustainable land use option which protects natural resources and biodiversity. Introducing trees into agricultural systems can positively affect water resources, soil characteristics, biomass and microclimate. We studied an AFS in South Africa in a multidisciplinary approach to assess the different influences and present the resulting dataset consisting of water, soil, tree and meteorological variables.
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