Tree species inventory in the Cordyla pinnata parkland of Senegal
The tree inventory was conducted in the Cordyla pinnata parkland in Senegal, in the region of Nioro du Rip. A field campaign for tree species data collection was carried out in February 2019. It is a weighted stratified sampling of 213 observation sites distributed according to a landscape heterogeneity gradient. At each site, an exhaustive inventory of the trees in a 1 ha plot was carried out. In addition, extra species (not present in the plot) observed within a radius of 400 m were included to increase the odds of recording all species in the area. Individual tree location and species were recorded with a Garmin GSMAP 64 GPS device. Due to a GPS-reported accuracy of 3 m, the location of each individual tree was then adjusted by photointerpretation using Pleiades images (0.5 m spatial resolution). In all, a dataset of 6576 georeferenced trees encompassing 46 different species was collected.
| Main Authors: | , , |
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| Format: | Observational data biblioteca |
| Language: | French |
| Published: |
CIRAD Dataverse
2019
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| Subjects: | Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences, spatial database, agroforestry systems, global positioning systems, cartography, agricultural landscape, modelling, |
| Online Access: | https://doi.org/10.18167/DVN1/RKZ5DN |
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| Summary: | The tree inventory was conducted in the Cordyla pinnata parkland in Senegal, in the region of Nioro du Rip. A field campaign for tree species data collection was carried out in February 2019. It is a weighted stratified sampling of 213 observation sites distributed according to a landscape heterogeneity gradient. At each site, an exhaustive inventory of the trees in a 1 ha plot was carried out. In addition, extra species (not present in the plot) observed within a radius of 400 m were included to increase the odds of recording all species in the area. Individual tree location and species were recorded with a Garmin GSMAP 64 GPS device. Due to a GPS-reported accuracy of 3 m, the location of each individual tree was then adjusted by photointerpretation using Pleiades images (0.5 m spatial resolution). In all, a dataset of 6576 georeferenced trees encompassing 46 different species was collected. |
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