A Django-based web app for plant enthusiasts, gardeners, farmers, orchadists, and everyone else! Users can edit, comment, and create their own designs and plantings. Crowd-sourced plant data. 🌱

create a simple web page featuring before/after progress at a restoration worksite

Double-hurdle model approach to predict “seagrass emergence success” and “seagrass growth success” across planted field plots

Continuous integration (CI) for vegetation surveys

Contains cleaned data and analysis scripts for a multi‐site woodland restoration study, focusing on key indicators—microbial biomass carbon (µg/g), PLFA community, total organic carbon (TOC) and soil pH. It provides summary statistics, ANOVA tests and visualisation workflows to compare soil health and microbial dynamics across restoration ages.

This repository contains all the files for the website

Data and code of Teixeira, Bauer et al. (2023) Basic Appl Ecol

Code Repository for Restoration Discourses on Twitter

Vegetation ecological comparison between restored sites and the ancient calcareous grassland Garchinger Heide