EcoResto: a simple open source database system for ecological restoration, plant nursery stock management, ex situ and in situ conservation

We share here a database system developed for ecological restoration. It was first developed in 2009 in Seychelles, and the latest development is from 2023 when we moved the system to Open Foris Arena. It can be applied for any region of the world and focusses on raw data collection and management from the propagules collection to site preparation and tree planting or monitoring. This dataset contains: -the Open Foris Arena 'ecoresto' survey design (which can be used to create your own copy) -an R Markdown script that compiles the data exported from Arena to csv files into a shiny app (available here with our data from Seychelles: https://bsenterre.shinyapps.io/ecoresto/). It includes the compilation of results to the Global Restore Project format (GRP, "the world's first open-source database for restoration ecology"). -a user guide This is a work in progress: the Rmd script needs some cleaning; the user guide needs some updates to integrate the latest changes in the survey design. But altogether, we believe that this might be helpful to other trying to develop their own solution for data collection and management in the field of ecological restoration. Note also that we are considering this material for a publication. Please, do not hesitate to send us your feedback!

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-17
DOI
https://doi.org/10.5281/zenodo.17374722
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EcoResto: a simple open source database system for ecological restoration, plant nursery stock management, ex situ and in situ conservation

Zenodo (CERN European Organization for Nuclear Research)
Data Analysis with R
article

EcoResto: a simple open source database system for ecological restoration, plant nursery stock management, ex situ and in situ conservation

article en

Abstract

We share here a database system developed for ecological restoration. It was first developed in 2009 in Seychelles, and the latest development is from 2023 when we moved the system to Open Foris Arena. It can be applied for any region of the world and focusses on raw data collection and management from the propagules collection to site preparation and tree planting or monitoring. This dataset contains: -the Open Foris Arena 'ecoresto' survey design (which can be used to create your own copy) -an R Markdown script that compiles the data exported from Arena to csv files into a shiny app (available here with our data from Seychelles: https://bsenterre.shinyapps.io/ecoresto/). It includes the compilation of results to the Global Restore Project format (GRP, "the world's first open-source database for restoration ecology"). -a user guide This is a work in progress: the Rmd script needs some cleaning; the user guide needs some updates to integrate the latest changes in the survey design. But altogether, we believe that this might be helpful to other trying to develop their own solution for data collection and management in the field of ecological restoration. Note also that we are considering this material for a publication. Please, do not hesitate to send us your feedback!

Zenodo (CERN European Organization for Nuclear Research)
Center for Plant Conservation (US), University of Seychelles (SC)
Life in Land
Openalex Percentile: Top 24%
Data Analysis with R
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.