Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-3935-2024
https://doi.org/10.5194/essd-16-3935-2024
Data description paper
 | 
02 Sep 2024
Data description paper |  | 02 Sep 2024

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

Viewed

Total article views: 797 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
607 132 58 797 45 52
  • HTML: 607
  • PDF: 132
  • XML: 58
  • Total: 797
  • BibTeX: 45
  • EndNote: 52
Views and downloads (calculated since 21 Dec 2023)
Cumulative views and downloads (calculated since 21 Dec 2023)

Viewed (geographical distribution)

Total article views: 797 (including HTML, PDF, and XML) Thereof 824 with geography defined and -27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Oct 2024
Short summary
Agroforestry systems (AFSs) 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.
Altmetrics
Final-revised paper
Preprint