Understanding the drivers of arthropod biodiversity in agro-ecoystems: Metabarcoding in space and time


Rob Goodsell

Email: rgoodsell1@sheffield.ac.uk

Start Year: 2014, 1st cohort

Host University: The University of Sheffield

Department: Animal & Plant Sciences

Supervisors: Prof Rob Freckleton (University of Sheffield), Dr Dylan Z Childs (University of Sheffield); Dr Ben A Woodcock (CEH) and Dr Doug Yu (University of East Anglia)

Twitter: @Rob_Goodsell

rob goodsell

Academic profile

Education

MBiolSci Zoology, University of Sheffield, 2010-2014.

PhD, University of Sheffield, 2014 to present

 

Skills and relevant qualifications

Quantitative data analysis and density structured modelling
Bioinformatics, molecular genetic techiques and analysis of next-gen sequencing data

 

ACCE PhD Research topic

Understanding the drivers of arthropod biodiversity in agro-ecoystems: Metabarcoding in space and time

There is overwhelming evidence that modern agriculture has caused widespread global biodiversity loss, especially in the developed world. One of the major obstacles to creating sustainable, productive and nature friendly agricultural systems is the difficulty of assessing their impacts on nature rapidly and comprehensively across large scales. Metabarcoding (MBC) is a relatively new technique which combines DNA taxonomy and next generation sequencing to identify species from environmental or mass samples using short gene sequences. It has been demonstrated recently that MBC is more comprehensive and much faster than traditional methods as well as being able to track up to thousands of species simultaneously. This project will use MBC datasets collected from a UK-wide network of arable farms, combined with quantitative methods of analysis to examine the dynamics of arthropod assemblages at multiple temporal and spatial scales.