https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48525 Loxodonta africana) in the Borderland region between Kenya and Tanzania. Results: The results of this study confirm that the resistance-based connectivity model is a valid approach for predicting movement corridors for the African elephant. We show that high connectivity values are a strong predictor of the presence of large numbers of the elephants across the years. The probability of observing elephants increased with increasing connectivity values, while accounting for seasonality is an important factor for accurately predicting movements from connectivity models. Conclusion: Movement corridors derived from resistance-based connectivity models have a strong predictive power and can be successfully used in spatial conservation prioritization.]]> Tue 21 Mar 2023 13:31:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48231 Mon 08 May 2023 10:21:10 AEST ]]>