Capsis

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General System description

System name: Capsis - Computer Aided Projections of Strategies In Silviculture

Acronym: Capsis

Brief overview

Capsis is a software platform aimed at simulation growth and silvicultural treatments for decision making in forest management, forestry research (hypotheses testing, model evaluation) and educational purposes.

Capsis415 mac.png Capsis ventoux.png


Scope of the system

Capsis is a simulation platform for forestry growth / dynamics models. It is a tool for forestry researchers, forest managers and educational purposes. It makes possible to implement models of various types (stand models, distance-independent or distance-dependent tree models, mixt models…), to run simulations and then compare the different scenarios in the same tool.

Thanks to its flexible architecture, it is possible to integrate heterogeneous models (uneven-aged, several species) with various processes (growth, competition, mortality, regeneration…) and to run simulations in interactive or script modes. Some models can have very particular properties, e.g. radiative balance, genetics information at the individual level, internal biomechanics or wood quality.

System origin

  • The first version was developped by Philippe Dreyfus between 1993-1999
  • Since 1999 the platform is developed by François de Coligny, joined by Samuel Dufour in 2008

Support for specific issues

The supported issues depend on the model which has been integrated in Capsis. It can be for instance growth estimation, carbon storage, logging, regeneration and mortality estimation, risk management, economical balances, evaluation of different sylvicultural strategies and harvesting scenarii...

Capability to support decision making phases

Data and data models

Typical spatial extent of application

The normal spatial application level of Capsis is the stand level but can be extended to the forest level for specific models.

Forest data input

Capsis input information are

  • inventory data that can be imported from files
  • simulated data calcultated by specific algorithms


Type of information input from user (via GUI)

Each model integrated in capsis has its own GUI. This gui allow to set the model input parameters. These parameters depends of the model. There are different type of inputs :

  • Initial parameters
  • Evolution parameters
  • Intervention parameters

Models

Forest models

There are more than 40 models integrated in Capsis : see capsis models.

  • stand models
  • diameter class models
  • distance independant tree models
  • distance dependant tree models


Social models

-Not available yet

Decision Support

Definition of management interventions

Capsis supports different type of generic interventions :

  • by age, by height, by diameter class...

Each model can also implements specific intervention mechanisms.

Typical temporal scale of application

The temporal depends of the model.

Types of decisions supported

Decision-making processes and models

Output

Types of outputs

  • stand level table and graphical outputs showing the temporal changes of its parameters
  • stand level 2D viewer
  • stand level 3D viewer

Spatial analysis capabilities


Abilities to address interdisciplinary, multi-scaled, and political issues

System

System requirements

  • Operating Systems: Linux / Windows / Mac Os X
  • Other software needed : Java 1.6

Architecture and major DSS components

Desktop application

Usage

Research level use

Computational limitations

System memory limitation

User interface

Capsis provides :

  • an interactive graphical user interface
  • a script mode (without gui) based on groovy

Documentation and support

See Capsis web site [1] : capsis web site

Installation


References

Cited references

  1. capsis web site

External resources

  • de Coligny F., 2007. Efficient Building of Forestry Modelling Software with the Capsis Methodology. In: Fourcaud T, Zhang XP, eds. Plant Growth Modeling and Applications. Proceedings of PMA06. Los Alamitos, California: IEEE Computer Society, pp. 216-222.