# forestecology

> forestecology R package of Methods and Data for Forest Ecology Model Fitting and Assessment

**Wikidata**: [Q120965024](https://www.wikidata.org/wiki/Q120965024)  
**Source**: https://4ort.xyz/entity/forestecology

## Summary
**forestecology** is an R package providing methods and data for forest ecology model fitting and assessment. It is specifically designed to fit and assess neighborhood models that analyze the effect of interspecific competition on tree growth. The software is distributed as free software and is maintained on GitHub.

## Key Facts
- **Entity Type:** Free software / R package.
- **Primary Function:** Fitting and assessing neighborhood models of interspecific competition effects on tree growth.
- **Latest Stable Version:** 0.2.1 (released August 27, 2025).
- **Initial Release:** Version 0.1.0 (released March 12, 2021).
- **Software Repository:** [github.com/rudeboybert/forestecology](https://github.com/rudeboybert/forestecology)
- **Official Website:** [rudeboybert.github.io/forestecology/](https://rudeboybert.github.io/forestecology/)
- **Download Access:** Available via GitHub releases.

## FAQs
### Q: What is the specific purpose of the forestecology package?
A: The package is designed to fit and assess neighborhood models, specifically focusing on how interspecific competition affects the growth of trees. It provides both the methods for analysis and the necessary data sets.

### Q: Is forestecology free to use?
A: Yes, it is classified as free software, allowing users to freely run, study, change, and distribute it.

### Q: Where can the source code be accessed?
A: The source code is hosted on GitHub at `github.com/rudeboybert/forestecology`.

## Why It Matters
Forest ecology often requires complex statistical modeling to understand the dynamic interactions within a woodland ecosystem. The **forestecology** package matters because it provides a specialized, standardized toolkit for one of the most critical aspects of forest dynamics: **interspecific competition**. By offering pre-packaged methods and data within the R environment, it lowers the barrier to entry for researchers attempting to model how different tree species compete for resources and how that competition influences growth rates.

Unlike general statistical packages, **forestecology** is tailored for "neighborhood models," which look at the immediate spatial context of individual trees. This specific focus allows for high-resolution analysis of forest stands, enabling more accurate predictions of forest health and composition over time. Furthermore, its status as free, open-source software ensures that these advanced analytical tools are accessible to a global community of ecologists, students, and foresters, fostering transparency and reproducibility in environmental science.

## Notable For
- **Specialized Modeling:** Specifically targets neighborhood models of interspecific competition, distinguishing it from general forestry or statistical R packages.
- **Integrated Data:** Includes specific datasets alongside modeling methods, streamlining the workflow for researchers.
- **Open Source Accessibility:** Classified strictly as free software, maximizing usability and modification rights for the scientific community.
- **Active Maintenance:** Shows a release timeline spanning from 2021 to 2025, indicating ongoing development and stability updates.

## Body

### Software Overview
**forestecology** is an R package dedicated to the field of forest ecology. It functions as a tool for fitting and assessing models that describe tree growth. The software is explicitly described as "free software," guaranteeing users the liberty to run, study, change, and distribute the program and its modified versions.

### Core Functionality
The primary technical capability of **forestecology** is the implementation of **neighborhood models**. These models are used to quantify the "effect of interspecific competition on the growth of trees." This involves analyzing how the proximity and identity of neighboring trees (different species) impact the growth rate of a subject tree. The package provides the necessary methods to fit these models and assess their validity.

### Version History
The development of **forestecology** is tracked through its release versions hosted on GitHub:
- **Version 0.1.0:** The initial recorded release, published on March 12, 2021.
- **Version 0.2.0:** A subsequent update released on October 2, 2021.
- **Version 0.2.1:** Identified as the "stable version," released on August 27, 2025.

### Technical Access
The software is maintained in a public GitHub repository under the user `rudeboybert`. Users can access the software via the download URL provided for releases or view the documentation and source code at the official website and repository links.

## References

1. [Release 0.1.0. 2021](https://github.com/rudeboybert/forestecology/releases/tag/v0.1.0)
2. [Release 0.2.0. 2021](https://github.com/rudeboybert/forestecology/releases/tag/v0.2.0)
3. [Release 0.2.1. 2025](https://github.com/rudeboybert/forestecology/releases/tag/v0.2.1)
4. [Source](https://api.github.com/repos/rudeboybert/forestecology)