https://github.com/ajpelu/diverpine

diveRpine: diversification of pine plantations in Mediterranean mountains

https://github.com/ajpelu/diverpine

Repository

diveRpine: diversification of pine plantations in Mediterranean mountains

https://github.com/ajpelu/diveRpine/blob/master/

# diveRpine 

## **diveR**sification of **pine** plantations in Mediterranean mountains



[![Lifecycle:
stable](https://img.shields.io/badge/lifecycle-stable-blue.svg)](https://www.tidyverse.org/lifecycle/#stable)
[![Project Status: Active  The project has reached a stable, usable
state and is being actively
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[![License: GPL
v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3697818.svg)](https://doi.org/10.5281/zenodo.3697818)


diveRpine is an interactive **R** tool which simulates the way in which
species diversity in pine plantations varies depending on the landscape
configuration, the internal structure of the plantation (*e.g.* past
land uses, tree density), and the composition of the dispersion vectors
(*e.g.* birds, mammals).


 The aim of the application is to develop a decision-support tool
that simulates the dynamics of forest ecological processes. 
 The
application projects the most likely ecological succession in each stand
based on the ecological context, and visualizes the relative importance
of the different ecological mechanisms involved in the process. The
resulting simulations help the manager to identify forest stands that
most need intervention (active restoration), compared to other stands
where intervention is unneeded (passive restoration), depending on the
ecosystem services that the manager wishes to maximize. It also allows
the user to visualize some of the complex ecological processes that
underlie the diversification of pine plantations in Mediterranean
mountain areas. 
 This tool uses information published in scientific
journals in a synthetic and straightforward way, enabling the manager to
visualize different scenarios and perform simulations based on solid
field data interpreted in scientific contexts.

## Installation

diveRpine was built in [R](https://www.r-project.org), an open source
programming language using the [Shiny
package](https://shiny.rstudio.com), a web application framework for R.

You can download the development version of diveRpine from
[GitHub](https://github.com/ajpelu/diveRpine) with:

``` r
# install.packages("devtools")
devtools::install_github("ajpelu/diveRpine")
```

## How to run diveRpine

The recommended option to use the application is to download the package
and run it locally. You can also use a running example
[here](http://vlab.iecolab.es/ajpelu/diveRpine_app/).

### Locally

1.  The use of Rstudio is recommended

2.  Download and install the `diveRpine` pkg using:

``` r
# install.packages("devtools")
devtools::install_github("ajpelu/diveRpine")
```

3.  Run the app:

``` r
library("diveRpine")
run_diveRpine()
```

All required code can be found in this [github
repository](https://github.com/ajpelu/diveRpine).

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