Home › Researcher directory › Jon M. Hutton
Jon M. Hutton
Affiliation : United Nations Environment Programme
- 3Publications (affiliation in Kenya)
Research profile
Jon M. Hutton has 3 indexed publications (2014–2016). Their work appears mainly in “PLoS ONE”, “Remote Sensing in Ecology and Conservation” and “PLoS Biology”. Their most cited article, “Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model” (2014), has been cited 218 times. Their work is co-authored with at least 11 researchers, including institutions in United Kingdom, Switzerland, Canada, Denmark.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsPublications (3)
- Assessing the Cost of Global Biodiversity and Conservation Knowledge
- Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets
- Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model
Publication venues
- PLoS ONE × 1
- Remote Sensing in Ecology and Conservation × 1
- PLoS Biology × 1
Publications per year
- 20161
- 20151
- 20141
Collaborations
Partner institutions : UN Environment Programme World Conservation Monitoring Centre · Microsoft Research (United Kingdom) · International Union for Conservation of Nature · University of Sussex · Dalhousie University
Co-authors’ countries : United Kingdom · Switzerland · Canada · Denmark
Co-authors
- Neil D. Burgess
- Diego Juffe‐Bignoli
- Cristina Secades
- Michael Harfoot
- Simon N. Stuart
- Timothy H. Johnson
- Tim Newbold
- Derek P. Tittensor
- Naomi Kingston
- Michael Hoffmann
- Jörn P. W. Scharlemann
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.