# BioClimSol

> Carry out forest diagnostics and take action in the face of climate change

Canonical page: [https://chrome-stats.com/d/fr.bioclimsol.devRelease](https://chrome-stats.com/d/fr.bioclimsol.devRelease)

## Overview

- **ID:** `fr.bioclimsol.devRelease`
- **Platform:** Android
- **Type:** Android app
- **Status:** Available
- **Publisher:** Centre National de la Propriété Forestière (CNPF)
- **Category:** BUSINESS
- **Downloads:** 565
- **Last updated:** 2026-08-19
- **First published:** 2026-07-23
- **Publisher country:** FR
- **Data as of:** 2026-09-12
- **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=fr.bioclimsol.devRelease)
- **Website:** [https://bioclimsol.cnpf.fr](https://bioclimsol.cnpf.fr/)
- **Privacy policy:** [https://bioclimsol.cnpf.fr/ppd](https://bioclimsol.cnpf.fr/ppd)

## Description

A decision-making tool to make the right choices in the face of climate change!<br>BioClimSol offers expertise in the risks linked to climate change to which companies are exposed.<br>forests. It takes into account environmental potential and constraints at the plot scale. Her<br>use results in recommendations for the choice of species and adaptation of silvicultural routes,<br>contributing to the management of standing forest stands and the search for solutions<br>renewal.<br><br>Diagnostic approach, follow the guide!<br>Thanks to its ergonomic and intuitive forms, the application accompanies you step by step in the forest, in<br>a fluid and robust diagnostic approach. Description of the relief, soil characteristics, settlement<br>forester or even health observations are thus collected by the user directly in the plot.<br>With geolocation, other data is extracted from loaded geographic information layers<br>in the device from the CNPF servers. These data make it possible to provide information on the characteristics<br>climatic and morphometric of the plot for a complete diagnosis.<br><br>Visualize the risks of dieback.<br>For 13 French species, the tool offers expertise on dieback risks based on<br>numerous field studies. These studies configure the tool’s algorithms which reflect the effects of<br>different explanatory factors of the observed phenomena, and in particular establish relationships between<br>intensity of dieback and climatic, topo-edaphic, silvicultural conditions, or even the presence of organic<br>attackers. The calculations result in an evaluation of the probabilities of observing dieback in the<br>situation noted by the user.<br><br>Evaluate the ecological compatibility of species.<br>For 34 other species, BioClimsol completes its expertise with an evaluation of the compatibility between<br>ecological characteristics of these species and conditions noted in the environment. This expertise is based on<br>the analysis of 7 climatic parameters which govern the global distribution of these species, as well as their<br>requirements regarding the environment determined through 6 topoedaphic parameters likely to<br>represent a limiting factor.<br><br>A vision of the future in a changing climate context.<br>BioClimSol algorithms use a large number of climate data from models<br>most efficient and resolved spatial systems (MétéoFrance). To have future prospects in the<br>most likely trajectories of climate change, the tool uses projections of future climates<br>parameterized according to temperature rise scenarios and established from scientific work<br>of the IPCC.<br><br>A good way to improve your skills!<br>The numerous criteria noted by the user in the field mobilize technical skills and<br>demanding interdisciplinary courses. Interpreting the results also requires a thorough understanding<br>the functioning of the tool and its design methods. Access and use of BioClimSol are therefore<br>conditioned on compulsory training accessible through the regularly renewed offer of the CNPF-<br>IDF. More information on https://formation.cnpf.fr/<br><br>A collaborative tool serving the user community.<br>The modular design of BioClimSol and the learning principle on which it is based (data used<br>in the context of collaborative sciences) allow permanent scalability of its performances,<br>functionalities and uses. The expertise methods can also be applied to all forestry issues.<br>that climate change threatens, and plan to contribute to ever-broader expertise in the future<br>risks to which French forests are exposed.

## Rankings

- #1,340,421 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/fr.bioclimsol.devRelease)
