Hydro-Spatial Dynamics of Baobab Tree (Adansonia digitata) Structure and Distribution in Relation to River Proximity and Foraging Pressure by African Elephants (Loxodonta africana) in the Sapi Safari Area, Northern Zimbabwe

This dataset supports the study “Hydro-Spatial Dynamics of Baobab Tree (Adansonia digitata) Structure and Distribution in Relation to River Proximity and Foraging Pressure by African Elephants (Loxodonta africana) in the Sapi Safari Area, Northern Zimbabwe.” It includes field-collected data from 11 stratified 1 km² plots categorized by distance from the Zambezi River (<10 km, 10–20 km, >20 km). Variables recorded include baobab tree abundance, height, canopy cover, diameter at breast height (DBH), elephant damage scores, and recovery ratings. Data were collected during the 2023 dry season using standardised methods, GPS coordinates, and spatial stratification in ArcGIS. The dataset provides baseline information for assessing spatial structure, elephant–vegetation interactions in semi-arid savannas.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17294411
Primary Topic
Plant nutrient uptake and metabolism
Type
article
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article

Hydro-Spatial Dynamics of Baobab Tree (Adansonia digitata) Structure and Distribution in Relation to River Proximity and Foraging Pressure by African Elephants (Loxodonta africana) in the Sapi Safari Area, Northern Zimbabwe

Zenodo (CERN European Organization for Nuclear Research)
Plant nutrient uptake and metabolism
article

Hydro-Spatial Dynamics of Baobab Tree (Adansonia digitata) Structure and Distribution in Relation to River Proximity and Foraging Pressure by African Elephants (Loxodonta africana) in the Sapi Safari Area, Northern Zimbabwe

article en

Abstract

This dataset supports the study “Hydro-Spatial Dynamics of Baobab Tree (Adansonia digitata) Structure and Distribution in Relation to River Proximity and Foraging Pressure by African Elephants (Loxodonta africana) in the Sapi Safari Area, Northern Zimbabwe.” It includes field-collected data from 11 stratified 1 km² plots categorized by distance from the Zambezi River (<10 km, 10–20 km, >20 km). Variables recorded include baobab tree abundance, height, canopy cover, diameter at breast height (DBH), elephant damage scores, and recovery ratings. Data were collected during the 2023 dry season using standardised methods, GPS coordinates, and spatial stratification in ArcGIS. The dataset provides baseline information for assessing spatial structure, elephant–vegetation interactions in semi-arid savannas.

Zenodo (CERN European Organization for Nuclear Research)
Chinhoyi University of Technology (ZW), Zimbabwe National Water Authority (ZW)
Life in Land
Openalex Percentile: Top 31%
Plant nutrient uptake and metabolism
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