International Forest Edge Research Network (iFERN)
iFERN is an informal working group of edge researchers exploring the past, present and future of studies on vegetation at forest edges. Our goals are to synthesize past studies, elaborate present theories, and propose and standardize future methods and approaches for understanding vegetation at forest edges. We are using this website to compile and share resources for edge researchers such as a literature database of edge studies and a database of vegetation data collected along transects across edges. If you would like to join our group, or share studies or data, please contact Karen Harper.
The FERN database provides extensive data on many variables that can be used for further study including meta-analyses, which can assist in determining answers to questions important to conservation efforts such as how the distance of edge influence from created edges is affected by different factors. We are expanding this database and invite others to contribute to this global database. The iFERN global database will greatly facilitate global syntheses and meta-analyses of edge studies and contribute to edge theory. Please contact Karen Harper if you would like to contribute data to the iFERN global database.
Data have been archived on the Borealis repository at the following DOI: https://doi.org/10.5683/SP3/YO7LE9
The FERN database provides extensive data on many variables that can be used for further study including meta-analyses, which can assist in determining answers to questions important to conservation efforts such as how the distance of edge influence from created edges is affected by different factors. We are expanding this database and invite others to contribute to this global database. The iFERN global database will greatly facilitate global syntheses and meta-analyses of edge studies and contribute to edge theory. Please contact Karen Harper if you would like to contribute data to the iFERN global database.
Data have been archived on the Borealis repository at the following DOI: https://doi.org/10.5683/SP3/YO7LE9
Database Download File
| Database |
