https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35505 Tue 25 Jul 2023 09:29:43 AEST ]]> 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:44585 Tue 18 Oct 2022 08:58:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49009 Thu 20 Jul 2023 15:02:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54777 Mon 11 Mar 2024 15:21:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48231 Mon 08 May 2023 10:21:10 AEST ]]>