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Falk Huettmann
PeerJ Editor, Author & Reviewer
1,090 Points

Contributions by role

Author 540
Preprint Author 140
Reviewer 210
Editor 200

Contributions by subject area

Biodiversity
Biogeography
Conservation Biology
Ecology
Zoology
Data Mining and Machine Learning
Animal Behavior
Spatial and Geographic Information Science
Entomology
Algorithms and Analysis of Algorithms
Artificial Intelligence
Population Biology
Agricultural Science
Soil Science
Data Science
Climate Change Biology

Falk Huettmann

PeerJ Editor, Author & Reviewer

Summary

Falk grew up in Germany, got a M.Sc. in Forestry from Universities, Goettingen, Freiburg and Munich with a thesis at NISK/Norway on digital image processing of trees affected by acid rain. He then worked at the EU with a Robert Schuman Scholarship of the European Parliament in Luxemburg, and with a NGO in Bruxelles. In 2001 he got a PhD from the ACWERN at the University of New Brunswick (UNB) in Eastern Canada on pelagic seabirds, Geographic Information Systems (GIS) and data. His postdoc was with the Center of Wildlife Ecology at Simon Fraser University in Vancouver about Marbled Murrelets. He then got a Killam Scholarship with the University of Calgary working on Grizzly Bear habitat future models in the Rocky Mountains.

In 2002 he became a Professor of Wildlife Ecology in his EWHALE lab with the University of Alaska-Fairbanks. Falk works with his students world-wide on landscapes, oceans and the atmosphere focusing on the conservation of biodiversity and habitats. He has over 350 publications, including 9 books and many Open Access datasets and metadata on over 2000 species

Agricultural Science Algorithms & Analysis of Algorithms Artificial Intelligence Biogeography Conservation Biology Ecology Entomology Ethical Issues Forestry Natural Resource Management

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Alaska - Fairbanks

Work details

Professor

University of Alaska Fairbanks
Biology & Wildlife, Inst of Arctic Biology
Wildlife Ecologist

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 5
  • Preprints 4
  • Reviewed 1
March 24, 2025
Moving beyond the physical impervious surface impact and urban habitat fragmentation of Alaska: quantitative human footprint inference from the first large scale 30 m high-resolution Landscape metrics big data quantification in R and the cloud
Moriz Steiner, Falk Huettmann
https://doi.org/10.7717/peerj.18894 PubMed 40151450
September 14, 2021
High-resolution prediction of American red squirrel in Interior Alaska: a role model for conservation using open access data, machine learning, GIS and LIDAR
Richard B. Robold, Falk Huettmann
https://doi.org/10.7717/peerj.11830 PubMed 34611502
December 13, 2017
Combining occurrence and abundance distribution models for the conservation of the Great Bustard
Chunrong Mi, Falk Huettmann, Rui Sun, Yumin Guo
https://doi.org/10.7717/peerj.4160 PubMed 29255652
January 12, 2017
Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen
https://doi.org/10.7717/peerj.2849 PubMed 28097060
February 1, 2016
Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
Chunrong Mi, Huettmann Falk, Yumin Guo
https://doi.org/10.7717/peerj.1630 PubMed 26855870
October 7, 2018 - Version: 1
How to assess species distribution model accuracy: using internal-aspatial or external-spatial methods?
Chunrong Mi, Falk Huettmann, Yumin Guo
https://doi.org/10.7287/peerj.preprints.27257v1
September 11, 2017 - Version: 1
Towards combining occurrence and abundance distribution models of Great Bustard for conservation: A global research template from Bohai Bay?
Chunrong Mi, Falk Huettmann, Rui Sun, Yumin Guo
https://doi.org/10.7287/peerj.preprints.3240v1
October 11, 2016 - Version: 1
Why to choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen
https://doi.org/10.7287/peerj.preprints.2517v1
July 26, 2015 - Version: 1
Climate change enlarges China’s Great Bustards’ (Otis tarda dybowskii) suitable wintering distribution in the 21st century
Chunrong Mi, Huettmann Falk, Yumin Guo
https://doi.org/10.7287/peerj.preprints.1263v1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

April 29, 2022
CGCNImp: a causal graph convolutional network for multivariate time series imputation
Caizheng Liu, Guangfan Cui, Shenghua Liu
https://doi.org/10.7717/peerj-cs.966