Caitlin P. Mandeville

Achieving impact in a dynamic conservation landscape: Unlocking potential for research flexibility in citizen science

Caitlin P. Mandeville

The dynamic nature of biodiversity conservation and management demands flexibility in biodiversity research. Yet there are many practical barriers to research flexibility, so it is important to find new ways to foster flexibility in conservation research. I report here on recent synthesis …

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Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology

Elliot Gould, Hannah Fraser, Timothy Parker, Shinichi Nakagawa et autres

Although variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. One possible explanation for variation among results is differences among researchers in the decisions they …

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Opening science to society: how to progress societal engagement into (open) science policies

Uta Wehn, Raquel Ajates, Caitlin P. Mandeville, Luke Somerwill et autres

A broad understanding of the aims and objectives of the international open science movement was recently adopted with the 2021 UNESCO Recommendation on Open Science, expanding the focus of open science to include scientific knowledge, infrastructures, knowledge systems and the open engagement …

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Innovating Interdisciplinarity in Higher Education: Exploring the Impact of a Grassroots Community of Practice

María González, Caitlin P. Mandeville, Ferne Edwards, Paula Rice

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 teaching interdisciplinarity is often hindered by silo structures within university faculties. To address this …

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Interspecific competition impacts the occupancy and range limits of two ptarmigan species along the elevation gradient in Norway

Caitlin P. Mandeville, Anders G. Finstad, John Atle Kålås, Bård G. Stokke et autres

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 lower‐elevation species are better competitors than closely related higher‐elevation …

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Author response for "Opening science to society: how to progress societal engagement into (open) science policies"

Uta Wehn, Raquel Ajates, Caitlin P. Mandeville, Luke Somerwill et autres

Author response for "Interspecific competition impacts the occupancy and range limits of two ptarmigan species along the elevation gradient in Norway"

Caitlin P. Mandeville, Anders G. Finstad, John Atle Kålås, Bård G. Stokke et autres

Recommendations for quantitative uncertainty consideration in ecology and evolution

Emily G. Simmonds, Kwaku Peprah Adjei, Benjamin Cretois, Lisa Dickel et autres

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 uncertainty metrics, and limited recognition of uncertainty propagation - which have led to gaps …

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Author response for "Interspecific competition impacts the occupancy and range limits of two ptarmigan species along the elevation gradient in Norway"

Caitlin P. Mandeville, Anders G. Finstad, John Atle Kålås, Bård G. Stokke et autres

Participatory monitoring drives biodiversity knowledge in global protected areas

Caitlin P. Mandeville, Erlend B. Nilsen, Ivar Herfindal, Anders G. Finstad

Abstract 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 taxonomic biases. Public participation in biodiversity monitoring such as via community-based monitoring …

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Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim et autres

Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse spheres, including conservation, epidemiology, climate science, and …

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Data from systematic audit for paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Adjei Peprah, Christoffer Wold Andersen, Janne Cathrin Helte Aspheim et autres

This upload contains 7 data files (each contains cleaned and compiled data for a given scientific field) and 2 R scripts. These files support the paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines. Description of the data …

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