NOT PEER-REVIEWED
"PeerJ Preprints" is a venue for early communication or feedback before peer review. Data may be preliminary.

A peer-reviewed article of this Preprint also exists.

View peer-reviewed version

Supplemental Information

Supplementary Materials

Appendix 1 Description of obtaining the NFC in 1975 from 93 topographical maps

Appendix 2 Description of the field investigation for estimating the accuracy of natural forest distribution

Appendix 3 The sources of historical road network maps and road levels

Appendix 4 Description of the measure of four road-related indicators

Appendix 5 Comparing the predictive performances of four model techniques

Appendix 6 Overlaying the distribution of NFC with the road network in four pattern predictive performances of four model techniques

DOI: 10.7287/peerj.preprints.2884v1/supp-1

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Siliang Lin performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables.

Yaozhu Jiang performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables.

Jiekun He wrote the paper, prepared figures and/or tables.

Guangzhi Ma conceived and designed the experiments, reviewed drafts of the paper.

Yang Xu contributed reagents/materials/analysis tools.

Haisheng Jiang conceived and designed the experiments, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

The raw data has been supplied as a supplementary file.

Funding

The authors received no funding for this work.


Add your feedback

Before adding feedback, consider if it can be asked as a question instead, and if so then use the Question tab. Pointing out typos is fine, but authors are encouraged to accept only substantially helpful feedback.

Some Markdown syntax is allowed: _italic_ **bold** ^superscript^ ~subscript~ %%blockquote%% [link text](link URL)
 
By posting this you agree to PeerJ's commenting policies
  Visitors   Views   Downloads