# Ecology Result #63 — Analysis Report

Generated 2026-09-21 02:38:48 · 1 run(s) · CAT-G Data Analyzer

## 1. indicator species (#63)

2026-09-21 02:17:35 · ecology · status: completed

*Indicator-species analysis tested 30 taxa; 0 reached significance.*

| Metric | Value |
|---|---|
| n_perm | 499 |
| group_col | community |
| n_rows | 60 |

### indicators

| feature | group | indval | p_value |
|---|---|---|---|
| sp30 | forest | 1.0 | 0.002 |
| sp14 | forest | 0.887608 | 0.002 |
| sp19 | forest | 0.878187 | 0.002 |
| sp01 | meadow | 0.872024 | 0.002 |
| sp17 | forest | 0.866097 | 0.002 |
| sp20 | forest | 0.865979 | 0.002 |
| sp16 | forest | 0.864706 | 0.002 |
| sp10 | meadow | 0.864023 | 0.002 |
| sp05 | meadow | 0.858407 | 0.002 |
| sp11 | forest | 0.853186 | 0.002 |

![indval bar](data:image/png;base64,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)

*indval bar*

### Method & Provenance

- **Method:** Ecology — Indicator Species
- **Engine:** Python · numpy/scipy 1.17.1
- **Input datasets:** gallery — example_community_matrix.csv
- **Started:** 2026-09-21 02:17:35.844416
- **Permanent link:** https://cat-g-omxpert.wishartlab.com/results/by-token/c316d159becb498e93ed050eb4d51942

| Parameter | Value |
|---|---|
| analysis_kind | indicator_species |
| group_col | community |
| n_perm | 499 |

**Command history**

```python
# Indicator Species via app.services.ecology_service
```

```python
# indicator-value analysis (IndVal) per species x group
```