By University of Oxford / Phys.Org
As human-elephant conflict continues to rise across Africa, researchers are searching for new ways to keep a watchful eye on wild African elephants, even looking to space technologies for guidance.
In the rural community of Sagalla in Tsavo Kenya, a hotspot for crop-raiding elephants, researchers at Save the Elephants and the Department of Biology at the University of Oxford have, for the first time ever, tracked the footprints of elephants using a high-resolution hand-held Garmin GPS that captures point to point fixes at every 3–5 seconds, and overlaid it with free high-resolution satellite imagery to identify how plant diversity on a micro scale affects elephant movement.
In the process, they’ve discovered that elephants make considered decisions about which paths to take based purely on their favorite food. The findings, recently published in the journal, Remote Sensing, may be critical in helping conservationists forecast potential human-elephant conflict (HEC) hotspots.
The Sentinel 2A imagery, obtained through an open-source satellite managed by the European Space Agency, has enabled scientists to map every single piece of vegetation within each 10m pixel in and around Sagalla.
While elephants are normally tracked at 1-hour intervals, the handheld satellite GPS captures all the twists and turns, every thorny thicket, every tree that an elephant would take on its chosen path. The elephant data from the study covers the period from January 2015 to 2020.
The results show that bull elephants prefer to walk paths that have or lead to plants called Combretum and Cissus which are only eaten by bulls. Family groups will walk paths that have Commiphora and Terminalia, which are a dietary preference for family groups comprising females and young calves.
Furthermore, when the two groups combine and move together, they choose paths that have or lead to areas where both preferred delicacies are available, in other words ensuring there’s something for everyone.
The study is important because understanding how elephants access their favorite vegetation could help conservation managers focus resources onto potential conflict hotspots outside protected areas and better protect plant diversity within parks and buffer zones.
Mapping the location and composition of specific vegetation species within plant communities also helps scientists to better understand the impact of human encroachment and vegetation removal on elephant movement.
Lead author Gloria Mugo, from Save the Elephants, says, “It is incredible the level of detail we can infer from free satellite imagery about the processes that control the spatial dynamics of elephant movements. A lot is known about what kinds of foods are eaten by elephants, however, being able to single out the fact that their movements can be driven by their fancied, gender-based diet, helps to further our understanding of micro-level ecological interactions.”
Save the Elephants, the University of Oxford and the Sagalla community have been working together since 2009, starting with a project to explore how beehive fences could be used to reduce conflict with elephants.
The satellite imagery project came about when the Sagalla community asked the researchers to help them better understand why and where elephants were foraging in the buffer zone of vegetation between the houses and the park boundary.
Dr. Lucy King, Department of Biology, University of Oxford and Head of Save the Elephant’s Co-existence Programme said, “The insight that different compositions of elephant groups prefer different vegetation patches could help us better understand where elephants are moving to within community areas to focus mitigation efforts, and also will promote better understanding for management of vegetation quality and composition inside wildlife reserves to keep parks more attractive to elephants inside than outside.”
More information: Gloria Mugo et al, Mapping Floristic Composition Using Sentinel-2A and a Case Study Evaluation of Its Application in Elephant Movement Ecology in Sagalla, Kenya, Remote Sensing (2022).
Provided by University of Oxford