the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multivariate characterisation of a blackberry-alder agroforestry system in South Africa: Hydrological, pedological, dendrological and meteorological measurements
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.
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Status: final response (author comments only)
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RC1: 'Comment on essd-2023-478', Anonymous Referee #1, 23 Jan 2024
Dear authors,
thank you very much for the paper.
The authors made a great effort to get a big picture of a very unique agroforestry site in complex terrain from different perspectives. From my point of view the paper and the data require careful revision before publication.
Please find my comments summarised in the attached PDF.
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AC2: 'Reply on RC1', Sibylle K. Hassler, 23 Apr 2024
Thank you very much for your detailed review of the manuscript, the data and the data description. We really appreciate your effort. We address your comments in the response and are confident the revisions based on your suggestions will help to ensure an easier and broader use of the data.
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AC2: 'Reply on RC1', Sibylle K. Hassler, 23 Apr 2024
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RC2: 'Comment on essd-2023-478', Anonymous Referee #2, 27 Feb 2024
The data paper of Hassler et al. stems from an intensive field campaign in which hydrological, pedological, dendrological and meteorological measurements were made in an agroforestry system in South Africa.
The data collection and manuscript are both at a very high level. The manuscript is written and the data is will presented. The only limitation I see is that the paper/dataset has a very limited geographical scope, and hence re-use of the dataset may be limited too. I would honestly just have published this dataset as part of the accompanying paper Hoffmeister et al. (2023) instead of pursuing a separate data paper.Citation: https://doi.org/10.5194/essd-2023-478-RC2 - AC1: 'Reply on RC2', Sibylle K. Hassler, 23 Apr 2024
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
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