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PeerJ Author & Reviewer

820 Points

Contributions by role

Contributions by subject area

Falk Huettmann

PeerJ Author & Reviewer

Summary

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

Editing Journals

Past or current institution affiliations

University of Alaska - Fairbanks

PeerJ Contributions

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