Outputs (3)

Multi-scale habitat selection and spatial analysis reveals a mismatch between the wintering distribution of a threatened population of Taiga Bean Geese Anser fabalis and its protected area (2021)
Journal Article
Thornton, M., Mitchell, C., Griffin, L., Briers, R., Minshull, B., Maciver, A., & White, P. (2022). Multi-scale habitat selection and spatial analysis reveals a mismatch between the wintering distribution of a threatened population of Taiga Bean Geese Anser fabalis and its protected area. Bird Study, 68(2), 157-173. https://doi.org/10.1080/00063657.2021.1966740

Capsule: Our multi-scale habitat selection and spatial analysis of a threatened population of Taiga Bean Geese Anser fabalis highlights the importance of monitoring and review programmes to determine whether species conservation measures are being im... Read More about Multi-scale habitat selection and spatial analysis reveals a mismatch between the wintering distribution of a threatened population of Taiga Bean Geese Anser fabalis and its protected area.

Genetic diversity of the Nubian ibex in Oman as revealed by mitochondrial DNA (2021)
Journal Article
Al-Ghafri, M. K., White, P. J. C., Briers, R. A., Dicks, K. L., Ball, A., Ghazali, M., …Senn, H. (2021). Genetic diversity of the Nubian ibex in Oman as revealed by mitochondrial DNA. Royal Society Open Science, 8(5), Article 210125. https://doi.org/10.1098/rsos.210125

The Nubian ibex (Capra nubiana) is patchily distributed across parts of Africa and Arabia. In Oman, it is one of the few free-ranging wild mammals found in the central and southern regions. Its population is declining due to habitat degradation, huma... Read More about Genetic diversity of the Nubian ibex in Oman as revealed by mitochondrial DNA.

From theory to practice in pattern‐oriented modelling: identifying and using empirical patterns in predictive models (2021)
Journal Article
Gallagher, C. A., Chudzinska, M., Larsen‐Gray, A., Pollock, C. J., Sells, S. N., White, P. J. C., & Berger, U. (2021). From theory to practice in pattern‐oriented modelling: identifying and using empirical patterns in predictive models. Biological Reviews, 96(5), 1868-1888. https://doi.org/10.1111/brv.12729

To robustly predict the effects of disturbance and ecosystem changes on species, it is necessary to produce structurally realistic models with high predictive power and flexibility. To ensure that these models reflect the natural conditions necessary... Read More about From theory to practice in pattern‐oriented modelling: identifying and using empirical patterns in predictive models.