iLand
A forest landscape model and simulates how individual trees grow, compete, die, and regenerate under various climate, disturbance, and management scenarios.
https://github.com/edfm-tum/iland-model
Category: Biosphere
Sub Category: Forest Modeling and Analysis
Last synced: 39 minutes ago
JSON representation
Repository metadata
iLand - the individual-based forest landscape and disturbance model (see https://iland-model.org/)
- Host: GitHub
- URL: https://github.com/edfm-tum/iland-model
- Owner: edfm-tum
- License: gpl-3.0
- Created: 2024-02-01T15:28:51.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2026-01-27T13:32:04.000Z (13 days ago)
- Last Synced: 2026-01-28T00:15:11.322Z (12 days ago)
- Language: C++
- Size: 95 MB
- Stars: 25
- Watchers: 1
- Forks: 5
- Open Issues: 1
- Releases: 3
-
Metadata Files:
- Readme: README.md
- License: COPYING
README.md
iLand - the individual-based forest landscape and disturbance model
This is the official GitHub repository of iLand.
iLand is a forest landscape model and simulates how individual trees grow, compete, die, and regenerate under various climate, disturbance, and management scenarios.
Spanning scales from watersheds to landscapes (10,000+ hectares), iLand projects forest dynamics over decades and centuries, estimating species composition, stand structure, carbon storage,
and potential impacts of climate change on disturbances and ecosystem services.
Used by a growing research community, this open-source tool (GNU GPL) is hosted at the Technical University of Munich but employed by research groups worldwide. The model
has been steadily developed over the last 15 years and has been used on in more than 40 peer reviewed research papers.
Resources
- Offical home page: https://iland-model.org
- Scientifc publications: https://iland-model.org/iLand+publications
- Discord-community-channel: https://discord.gg/e5trneUKav or https://tinyurl.com/iland-discord
Instructions for building
iLand is a C++ application using the Qt toolkit. The easiest way to build iLand is to use Qt Creator. Detailed instructions for building the model are here: https://iland-model.org/iland-book/Building_iLand.html
Owner metadata
- Name: Ecosystem Dynamics and Forest Management Lab - School of Life Sciences - Technical University of Munich
- Login: edfm-tum
- Email:
- Kind: organization
- Description: We work at the interface between natural ecosystem dynamics and the sustainable management of forests.
- Website: https://www.lss.ls.tum.de/en/edfm/start/
- Location: Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/150276659?v=4
- Repositories: 1
- Last ynced at: 2023-11-27T15:37:33.347Z
- Profile URL: https://github.com/edfm-tum
GitHub Events
Total
- Release event: 1
- Pull request event: 2
- Fork event: 2
- Issues event: 2
- Watch event: 13
- Issue comment event: 2
- Push event: 63
- Pull request review event: 1
- Create event: 4
Last Year
- Release event: 1
- Fork event: 2
- Issues event: 2
- Watch event: 9
- Push event: 43
- Create event: 2
Committers metadata
Last synced: 1 day ago
Total Commits: 1,071
Total Committers: 8
Avg Commits per committer: 133.875
Development Distribution Score (DDS): 0.08
Commits in past year: 56
Committers in past year: 3
Avg Commits per committer in past year: 18.667
Development Distribution Score (DDS) in past year: 0.268
| Name | Commits | |
|---|---|---|
| Werner Rammer | w****r@g****m | 985 |
| Martin Baumann | m****n@t****e | 58 |
| Johannes Mohr | j****r@g****m | 20 |
| Martin Baumann | g****y@m****e | 4 |
| ardiladeveloper | p****r@g****m | 1 |
| Werner Rammer | w****r@t****e | 1 |
| Werner Rammer | g****h@m****e | 1 |
| (no author) | (****) | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: about 1 month ago
Total issues: 1
Total pull requests: 0
Average time to close issues: 1 day
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 0
Average comments per issue: 0.0
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: 1 day
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- LMurphy186232 (1)
- werner-rammer (1)
- Hong-lynn (1)
Top Pull Request Authors
- ardiladeveloper (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
Score: 5.337538079701318