Blar i Institutt for naturhistorie på forfatter "Mandeville, Caitlin Marie"
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Innovating Interdisciplinarity in Higher Education: Exploring the Impact of a Grassroots Community of Practice
Gutierrez Gonzalez, Maria Azucena; Mandeville, Caitlin Marie; Edwards, Ferne Leigh; Rice, Paula Maria (Journal article; Peer reviewed, 2024)Skills in interdisciplinary collaboration are required to address many complex problems facing society. As such, interdisciplinarity is a critical competency for students to develop. However, teachers’ effectiveness in ... -
Interspecific competition impacts the occupancy and range limits of two ptarmigan species along the elevation gradient in Norway
Mandeville, Caitlin Marie; Finstad, Anders Gravbrøt; Kålås, John Atle; Stokke, Bård Gunnar; Øien, Ingar Jostein; Nilsen, Erlend Birkeland (Peer reviewed; Journal article, 2024)Many mountain species are expected to respond to climate change through upslope shifts of their range limits, but competition may restrict or alter this response. Under traditional range-limit theory, it is expected that ... -
Participatory monitoring drives biodiversity knowledge in global protected areas
Mandeville, Caitlin Marie; Nilsen, Erlend Birkeland; Herfindal, Ivar; Finstad, Anders Gravbrøt (Peer reviewed; Journal article, 2023)Protected areas are central in strategies to conserve biodiversity. Effective area-based conservation relies on biodiversity data, but the current biodiversity knowledge base is insufficient and limited by geographic and ... -
Recommendations for quantitative uncertainty consideration in ecology and evolution
Simmonds, Emily Grace; Adjei, Kwaku Peprah; Cretois, Benjamin; Dickel, Lisa; González-Gil, Ricardo; Laverick, Jack H; Mandeville, Caitlin Marie; Mandeville, Elizabeth G; Ovaskainen, Otso Tapio; Sicacha-Parada, Jorge; Skarstein, Emma Sofie; O'Hara, Robert Brian (Peer reviewed; Journal article, 2023)Ecological and evolutionary studies are currently failing to achieve complete and consistent reporting of model-related uncertainty. We identify three key barriers – a focus on parameter-related uncertainty, obscure ...