Please use this identifier to cite or link to this item:
http://hdl.handle.net/11667/183
Appears in Collections: | University of Stirling Research Data |
Title: | Elephant event counts, Ruaha-Rungwa 2018-2019 |
Creator(s): | Smit, Josephine |
Date Available: | 15-Oct-2021 |
Citation: | Smit, J (2021): Elephant event counts, Ruaha-Rungwa 2018-2019. . University of Stirling. Faculty of Natural Sciences. Dataset. http://hdl.handle.net/11667/183 |
Publisher: | University of Stirling. Faculty of Natural Sciences |
Dataset Description (Abstract): | This dataset was generated by a study investigating how anthropogenic risk affects the active periods of African savanna elephants. The dataset was generated from independent detection events of elephants from camera trap photos obtained during the deployment of four camera grids in the Ruaha-Rungwa ecosystem of Tanzania in the dry seasons of 2018 and 2019: Grid RNP in the core area of Ruaha National Park, Grid MIO in a miombo wilderness zone of Ruaha National Park, Grid MBO in MBOMIPA Wildlife Management Area, Grid RUI in the Rungwa-Ikiri block of Rungwa Game Reserve. Grid RNP was considered a low-risk area for elephants. Grids MIO, MBO and RUI were considered high-risk areas for elephants. We summed the number of independent elephant detection events (column ‘Count’) per camera trap station (column ‘Camera’) by group type (male or female) and diel period (dawn, day, dusk, night). The number of camera trap sampling hours per diel period for each camera trap station are included in the column ‘Hours’. Each camera trap station was either on or off road, and near water (within 1km of water source) or far from water. |
Type: | dataset |
URI: | http://hdl.handle.net/11667/183 |
Rights: | Rights covered by the standard CC-BY 4.0 licence: https://creativecommons.org/licenses/by/4.0/ |
Affiliation(s) of Dataset Creator(s): | University of Stirling (Biological and Environmental Sciences) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Event_Counts.csv | 42.27 kB | Unknown | View/Open |
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