Emily Grace Simmonds
About
Research interests
My work focuses on how biological systems respond to abiotic drivers, specifically, how individuals and populations respond to climate changes. Much of my work has centred on using mathematical models to project how population size and structure is altered by different climate change scenarios.
Current work
I have recently started an International Mobility grant from the Norwegian Research Council and hosted at the University of Edinburgh. In my project - PREDICT - I will look at how we can improve the reliability and usefulness of our near term predictions of population change. My specific focuses will be on correctly quantifying and propagating uncertainty and including climate drivers into demographic models.
Publications
2022
-
Simmonds, Emily Grace;
Adjei, Kwaku Peprah;
Andersen, Christoffer Wold;
Aspheim, Janne Cathrin Hetle;
Battistin, Claudia;
Bulso, Nicola.
(2022)
Insights into the quantification and reporting of model-related uncertainty across different disciplines.
iScience
Academic article
2021
-
Telford, Richard James;
Rechsteiner, Aud Helen Halbritter;
Simmonds, Emily Grace;
Soule, Jonathan;
Lynn, Joshua Scott.
(2021)
Enough R to write a thesis.
Digital learning tools
-
Cretois, Benjamin;
Simmonds, Emily Grace;
Linnell, John D. C.;
van Moorter, Bram;
Rolandsen, Christer M.;
Solberg, Erling J..
(2021)
Identifying and correcting spatial bias in opportunistic citizen science data for wild ungulates in Norway.
Ecology and Evolution
Academic article
-
Simmonds, Emily Grace;
Jensen, Henrik;
Niskanen, Alina Katariina;
Smith, Steven.
(2021)
Genetic Data Collection, Pedigrees and Phylogenies.
Oxford University Press
Chapter
-
Stawski, Clare ;
Simmonds, Emily Grace.
(2021)
Contrasting physiological responses to habitat degradation in two arboreal mammals.
iScience
Academic article
2020
-
Simmonds, Emily Grace;
Jarvis, Susan G.;
Henrys, Peter A.;
Isaac, Nick J.B.;
OHara, Robert Brian.
(2020)
Is more data always better? A simulation study of benefits and limitations of integrated distribution models.
Ecography
Academic article
-
Samplonius, Jelmer;
Atkinson, Angus;
Hassall, Christopher;
Keogan, Katherine;
Thackeray, Stephen J.;
Assmann, Jakob J..
(2020)
Strengthening the evidence base for temperature-mediated phenological asynchrony and its impacts.
Nature Ecology and Evolution
Academic article
-
Simmonds, Emily Grace;
Cole, Ella F.;
Sheldon, Ben C.;
Coulson, Tim.
(2020)
Phenological asynchrony: a ticking time‐bomb for seemingly stable populations?.
Ecology Letters
Academic article
2019
-
Isaac, Nick J.B.;
Jarzyna, Marta A.;
Keil, Petr;
Dambly, Lea I.;
Boersch-Supan, Philipp H.;
Browning, Ella.
(2019)
Data integration for large-scale models of species distributions.
Trends in Ecology & Evolution
Academic literature review
-
Simmonds, Emily Grace;
Cole, Ella F;
Sheldon, Ben C.
(2019)
Cue identification in phenology: A case study of the predictive performance of current statistical tools.
Journal of Animal Ecology
Academic article
-
Simmonds, Emily Grace;
Cole, Ella F;
Sheldon, Ben C;
Coulson, Tim.
(2019)
Testing the effect of quantitative genetic inheritance in structured models on projections of population dynamics.
Oikos
Academic article
Journal publications
-
Simmonds, Emily Grace;
Adjei, Kwaku Peprah;
Andersen, Christoffer Wold;
Aspheim, Janne Cathrin Hetle;
Battistin, Claudia;
Bulso, Nicola.
(2022)
Insights into the quantification and reporting of model-related uncertainty across different disciplines.
iScience
Academic article
-
Cretois, Benjamin;
Simmonds, Emily Grace;
Linnell, John D. C.;
van Moorter, Bram;
Rolandsen, Christer M.;
Solberg, Erling J..
(2021)
Identifying and correcting spatial bias in opportunistic citizen science data for wild ungulates in Norway.
Ecology and Evolution
Academic article
-
Stawski, Clare ;
Simmonds, Emily Grace.
(2021)
Contrasting physiological responses to habitat degradation in two arboreal mammals.
iScience
Academic article
-
Simmonds, Emily Grace;
Jarvis, Susan G.;
Henrys, Peter A.;
Isaac, Nick J.B.;
OHara, Robert Brian.
(2020)
Is more data always better? A simulation study of benefits and limitations of integrated distribution models.
Ecography
Academic article
-
Samplonius, Jelmer;
Atkinson, Angus;
Hassall, Christopher;
Keogan, Katherine;
Thackeray, Stephen J.;
Assmann, Jakob J..
(2020)
Strengthening the evidence base for temperature-mediated phenological asynchrony and its impacts.
Nature Ecology and Evolution
Academic article
-
Simmonds, Emily Grace;
Cole, Ella F.;
Sheldon, Ben C.;
Coulson, Tim.
(2020)
Phenological asynchrony: a ticking time‐bomb for seemingly stable populations?.
Ecology Letters
Academic article
-
Isaac, Nick J.B.;
Jarzyna, Marta A.;
Keil, Petr;
Dambly, Lea I.;
Boersch-Supan, Philipp H.;
Browning, Ella.
(2019)
Data integration for large-scale models of species distributions.
Trends in Ecology & Evolution
Academic literature review
-
Simmonds, Emily Grace;
Cole, Ella F;
Sheldon, Ben C.
(2019)
Cue identification in phenology: A case study of the predictive performance of current statistical tools.
Journal of Animal Ecology
Academic article
-
Simmonds, Emily Grace;
Cole, Ella F;
Sheldon, Ben C;
Coulson, Tim.
(2019)
Testing the effect of quantitative genetic inheritance in structured models on projections of population dynamics.
Oikos
Academic article
Part of book/report
-
Simmonds, Emily Grace;
Jensen, Henrik;
Niskanen, Alina Katariina;
Smith, Steven.
(2021)
Genetic Data Collection, Pedigrees and Phylogenies.
Oxford University Press
Chapter
PRODUKT
-
Telford, Richard James;
Rechsteiner, Aud Helen Halbritter;
Simmonds, Emily Grace;
Soule, Jonathan;
Lynn, Joshua Scott.
(2021)
Enough R to write a thesis.
Digital learning tools