• Contrasting physiological responses to habitat degradation in two arboreal mammals 

      Stawski, Clare; Simmonds, Emily Grace (Peer reviewed; Journal article, 2021)
      To cope with the challenges presented by habitat degradation and loss, animals must often respond by adjusting physiological and behavioral mechanisms. Here we quantified physiological and behavioral traits, including body ...
    • Cue identification in phenology: A case study of the predictive performance of current statistical tools 

      Simmonds, Emily Grace; Cole, Ella F; Sheldon, Ben C (Journal article; Peer reviewed, 2019)
      1. Changes in the timing of life‐history events (phenology) are a widespread consequence of climate change. Predicting population resilience requires knowledge of how phenology is likely to change over time, which can be ...
    • Identifying and correcting spatial bias in opportunistic citizen science data for wild ungulates in Norway 

      Cretois, Benjamin; Simmonds, Emily Grace; Linnell, John D. C.; van Moorter, Bram; Rolandsen, Christer M.; Solberg, Erling J.; Strand, Olav; Gundersen, Vegard; Roer, Ole; Rød, Jan Ketil (Journal article; Peer reviewed, 2021)
      Many publications make use of opportunistic data, such as citizen science observation data, to infer large-scale properties of species’ distributions. However, the few publications that use opportunistic citizen science ...
    • Insights into the quantification and reporting of model-related uncertainty across different disciplines 

      Simmonds, Emily Grace; Dunn-Sigouin, Etienne; Adjei, Kwaku Peprah; Andersen, Christoffer Wold; Aspheim, Janne Cathrin Hetle; Battistin, Claudia; Bulso, Nicola; Christensen, Hannah M.; Cretois, Benjamin; Cubero, Ryan John Abat; Davidovich, Ivan Andres; Dickel, Lisa; Dunn, Benjamin Adric; Dyrstad, Karin; Einum, Sigurd; Giglio, Donata; Gjerløw, Haakon; Godefroidt, Amélie; González-Gil, Ricardo; Gonzalo Cogno, Soledad; Große, Fabian; Halloran, Paul; Jensen, Mari Fjalstad; Kennedy, John James; Langsæther, Peter Egge; Laverick, Jack H; Lederberger, Debora; Li, Camille; Mandeville, Elizabeth G; Mandeville, Caitlin; Moe, Espen; Schröder, Tobias Navarro; Nunan, David; Sicacha-Parada, Jorge; Simpson, Melanie Rae; Skarstein, Emma Sofie; Spensberger, Clemens; Stevens, Richard; Subramanian, Aneesh C.; Svendsen, Lea; Theisen, Ole Magnus; Watret, Connor; O'Hara, Robert B. (Peer reviewed; Journal article, 2022)
      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 ...
    • Is more data always better? A simulation study of benefits and limitations of integrated distribution models 

      Simmonds, Emily Grace; Jarvis, Susan G.; Henrys, Peter A.; Isaac, Nick J.B.; OHara, Robert Brian (Peer reviewed; Journal article, 2020)
      Species distribution models are popular and widely applied ecological tools. Recent increases in data availability have led to opportunities and challenges for species distribution modelling. Each data source has different ...
    • Phenological asynchrony: a ticking time‐bomb for seemingly stable populations? 

      Simmonds, Emily Grace; Cole, Ella F.; Sheldon, Ben C.; Coulson, Tim (Peer reviewed; Journal article, 2020)
      Climate change has been shown to induce shifts in the timing of life‐history events. As a result, interactions between species can become disrupted, with potentially detrimental effects. Predicting these consequences has ...
    • 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 ...
    • Strengthening the evidence base for temperature-mediated phenological asynchrony and its impacts 

      Samplonius, Jelmer; Atkinson, Angus; Hassall, Christopher; Keogan, Katherine; Thackeray, Stephen J.; Assmann, Jakob J.; Burgess, Malcolm D.; Macphie, Kirsty H; Pearce-Higgins, James W.; Simmonds, Emily Grace; Johansson, Jacob; Varpe, Øystein; Weir, James C; Childs, Dylan Z.; Cole, Ella F.; Daunt, Francis; Hart, Tom; Lewis, Owen T.; Pettorelli, Nathalie; Sheldon, Ben C.; Phillimore, Albert B. (Journal article; Peer reviewed, 2020)
      Climate warming has caused the seasonal timing of many components of ecological food chains to advance. In the context of trophic interactions, the match–mismatch hypothesis postulates that differential shifts can lead to ...
    • Testing the effect of quantitative genetic inheritance in structured models on projections of population dynamics 

      Simmonds, Emily Grace; Cole, Ella F; Sheldon, Ben C; Coulson, Tim (Peer reviewed; Journal article, 2019)
      Global climate change is altering the timing of life history events for species living in seasonal environments. These shifts in phenology can lead to the disruption of interspecific relationships with implications for ...