Ellen D. Moss

Ellen D. Moss
Newcastle University | NCL · Population Health Sciences Institute

BSc, MSc, PhD

About

21
Publications
3,541
Reads
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431
Citations
Citations since 2016
4 Research Items
394 Citations
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
Introduction
I'm a biological modeller with experience working in entomology, ecology, and epidemiology. I use a combination of novel technologies, citizen science data, routinely collected observational data, and statistical modelling to answer questions relating to: climate change impacts on species distributions, spatio-temporal modelling of disease risk, how novel data sources and analysis methods can be used to improve clinical trials, and how machine learning can be used to support decision-making.
Additional affiliations
September 2019 - March 2020
Newcastle University
Position
  • Temporary lecturer
Description
  • Redesigning, updating, and delivering a stage 2 entomology module.
January 2019 - July 2022
Newcastle University
Position
  • PostDoc Position
Description
  • Working on a variety of ecological, entomological, epidemiological, and analytical projects.
April 2011 - September 2013
University of Reading
Position
  • Field Assistant and Entomologist
Education
December 2015 - November 2018
Newcastle University
Field of study
  • Ecology
October 2013 - December 2015
University of Hull
Field of study
  • Ecology
September 2006 - September 2007
Newcastle University
Field of study
  • Wildlife Conservation and Management

Publications

Publications (21)
Article
Full-text available
Apple production in the UK is worth over £100 million per annum and this production is heavily dependent on insect pollination. Despite its importance, it is not clear which insect pollinators carry out the majority of this pollination. Furthermore, it is unknown whether current UK apple production, in terms of both yield and quality, suffers po...
Article
Full-text available
Change in land cover is thought to be one of the key drivers of pollinator declines, and yet there is a dearth of studies exploring the relationships between historical changes in land cover and shifts in pollinator communities. Here, we explore, for the first time, land cover changes in England over more than 80 years, and relate them to concurren...
Article
Full-text available
Bee populations and other pollinators face multiple, synergistically acting threats, which have led to population declines, loss of local species richness and pollination services, and extinctions. However, our understanding of the degree, distribution and causes of declines is patchy, in part due to inadequate monitoring systems, with the challeng...
Article
It is unclear how sustained increases in temperature and changes in precipitation, as a result of climate‐change, will affect crops and their interactions with agricultural weeds, insect pests and predators, due to the difficulties in quantifying changes in such complex relationships. We simulated the combined effects of increasing temperature (by...
Article
Full-text available
Declines in pollinating insects and wildflowers have been well documented in recent years. Climate change is an emerging threat to insect pollinators and their food plants, but little is known about how whole communities of interacting species will be affected or what impacts there may be on ecosystem services such as pollination. Using a novel ope...
Article
Research into pollinators in managed landscapes has recently combined approaches of pollination ecology and landscape ecology, because key stressors are likely to interact across wide areas. While laboratory and field experiments are valuable for furthering understanding, studies are required to investigate the interacting drivers of pollinator hea...
Article
Understanding how climate change will affect agro-ecosystems and the ecosystem services they provide is a significant global challenge. Investigating this topic requires a holistic approach that can capture the complexity of agro-ecosystems and assess impacts on the physical, biological, and socio-economic aspects of the system. The Drivers-Pressur...
Data
Appendix S2. Read map (see Fig. S2) for CN_CG_2.
Data
Appendix S3. Read map (see Fig. S2) for CN_CG_3.
Data
Appendix S4.Read map (see Fig. S2) for CS_OELS_1.
Data
Appendix S5. Read map (see Fig. S2) for CS_OELS_2.
Data
Appendix S6. Read map (see Fig. S2) for HD_CG_1.
Data
Appendix S7. Read map (see Fig. S2) for HD_CG_2.
Data
Appendix S8. Read map (see Fig. S2) for HD_CG_3.
Data
Appendix S9. Read map (see Fig. S2) for LW_CG_1.
Data
Fig. S1. The 48 reference mitogenomes, color‐coded for the 13 protein‐coding genes and the rDNA+Control Region. Fig. S2. Mapping of reads (red line segments) on reference mitogenomes (black lines). Fig. S3. Metabarcoding primers. Fig. S4. Scatterplot of Biomasses versus Metabarcoding Read numbers. Fig. S5. Community analyses for Metabarcoding d...
Data
Appendix S10. Read map (see Fig. S2) for LW_ELS_1.
Data
Table S1. DNA and assembly quality information for the 48 reference bee species and the 10 bulk samples. Table S2. Bee counts, biomasses, andmetabarcoding read numbers, subdivided by sample (columns) and bee species (rows).
Data
Appendix S1. Read map (see Fig. S2) for CN_CG_1.
Article
Full-text available
Apple production in the UK is worth over £100 million per annum and this production is heavily dependent on insect pollination. Despite its importance, it is not clear which insect pollinators carry out the majority of this pollination. Furthermore, it is unknown whether current UK apple production, in terms of both yield and quality, suffers polli...

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