https://github.com/abbiodiversity/wildlift

An Open-source Tool to Guide Decisions for Wildlife Conservation

https://github.com/abbiodiversity/wildlift

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.5%) to scientific vocabulary

Keywords

caribou conservation-breeding project recovery-actions wildlife-conservation
Last synced: 6 months ago · JSON representation

Repository

An Open-source Tool to Guide Decisions for Wildlife Conservation

Basic Info
Statistics
  • Stars: 3
  • Watchers: 4
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
caribou conservation-breeding project recovery-actions wildlife-conservation
Created almost 6 years ago · Last pushed over 4 years ago

https://github.com/ABbiodiversity/WildLift/blob/master/

# WildLift

> An Open-source Tool to Guide Decisions for Wildlife Conservation

[![Linux build
status](https://travis-ci.org/ABbiodiversity/WildLift.svg?branch=master)](https://travis-ci.org/ABbiodiversity/WildLift)
[![codecov](https://codecov.io/gh/ABbiodiversity/WildLift/branch/master/graph/badge.svg)](https://codecov.io/gh/ABbiodiversity/WildLift)

**WildLift** can be used to quantitatively compare the **costs** and
demographic **benefits** of recovery actions for an iconic threatened
species, woodland caribou (*Rangifer tarandus caribou*). While we use
caribou as a case study, our approach to developing this management tool
is transferable to other threatened taxa.

The tool consists of a generalized matrix population model that is
parametrized based on information from the published literature or
ongoing experiments. Users can input population parameters (e.g.,
population size and survival rates) or choose from pre-set caribou
subpopulations to estimate changes to populations from implementing
recovery actions.

The tool estimates the trade-offs associated with seven alternative
recovery actions:

  - Linear Feature Restoration,
  - Linear Feature Deactivation,
  - Maternal Penning,
  - Conservation Breeding,
  - Predator Exclosure,
  - Wolf Reduction, and
  - Moose Reduction.

Multiple recovery actions are compared allowing users to combine
demographic augmentation (maternal penning, predator exclosure, and
conservation breeding) with predator and primary prey reductions.

Try the [Shiny app](https://abbiodiversity.shinyapps.io/WildLift/) or
run locally as `WildLift::run_app()`.

## Citation

Nagy-Reis, M., Dickie, M., Slymos, P., Gilbert, S., DeMars, C.,
Serrouya, R., and Boutin, S., 2020. WildLift: An open-source tool to
guide decisions for wildlife conservation. *Frontiers in Ecology and
Evolution*, 8:564508. DOI
[10.3389/fevo.2020.564508](https://dx.doi.org/10.3389/fevo.2020.564508)

## Installation

``` r
remotes::install_github("ABbiodiversity/WildLift")
```

See user visible changes in the [NEWS](NEWS.md) file.

## Usage

``` r
library(WildLift)
#> Loading required package: popbio
#> WildLift 0.3.0    2020-09-07

## Predefined settings
(s1 <- wildlift_settings("mat.pen"))
#> Caribou settings - pen type: mat.pen 
#> 
#>  - c.surv.wild   :0.163
#>  - c.surv.capt   :0.598
#>  - f.surv.wild   :0.853
#>  - f.surv.capt   :0.903
#>  - f.preg.wild   :0.92
#>  - f.preg.capt   :0.92
#>  - pen.cap       :35
#>  - pen.cost.setup:500
#>  - pen.cost.proj :80
#>  - pen.cost.maint:300
#>  - pen.cost.capt :250
#>  - pen.cost.pred :0
(s2 <- wildlift_settings("pred.excl"))
#> Caribou settings - pen type: pred.excl 
#> 
#>  - c.surv.wild   :0.163
#>  - c.surv.capt   :0.72
#>  - f.surv.wild   :0.853
#>  - f.surv.capt   :0.95
#>  - f.preg.wild   :0.92
#>  - f.preg.capt   :0.92
#>  - pen.cap       :35
#>  - pen.cost.setup:1868
#>  - pen.cost.proj :80
#>  - pen.cost.maint:600
#>  - pen.cost.capt :200
#>  - pen.cost.pred :80

## Modifying predefined settings
wildlift_settings("mat.pen", c.surv.capt=0.65, pen.cap=30)
#> Caribou settings - pen type: mat.pen 
#> 
#>  - c.surv.wild   :0.163
#>  - c.surv.capt   :0.65
#>  - f.surv.wild   :0.853
#>  - f.surv.capt   :0.903
#>  - f.preg.wild   :0.92
#>  - f.preg.capt   :0.92
#>  - pen.cap       :30
#>  - pen.cost.setup:500
#>  - pen.cost.proj :80
#>  - pen.cost.maint:300
#>  - pen.cost.capt :250
#>  - pen.cost.pred :0

## Forecast based on settings for 75% females penned
f1 <- wildlift_forecast(s1, fpen.prop = 0.75)
f2 <- wildlift_forecast(s2, fpen.prop = 0.75)

## Most important results summarized
summary(f1)
#> Caribou forecast - pen type: mat.pen 
#> 
#>  - tmax     :20
#>  - pop.start:100
#>  - fpen.prop:0.75
#> 
#>  - npens      :3
#>  - lam.pen    :1.03
#>  - lam.nopen  :0.914
#>  - Nend.nopen :17
#>  - Nend.pen   :195
#>  - Nend.diff  :178
#>  - Cost.total :30.5
#>  - Cost.percap:0.171
summary(f2)
#> Caribou forecast - pen type: pred.excl 
#> 
#>  - tmax     :20
#>  - pop.start:100
#>  - fpen.prop:0.75
#> 
#>  - npens      :7
#>  - lam.pen    :1.09
#>  - lam.nopen  :0.914
#>  - Nend.nopen :17
#>  - Nend.pen   :556
#>  - Nend.diff  :539
#>  - Cost.total :87
#>  - Cost.percap:0.161

## Plot the results
plot(f2)
lines(f1, col = 2)
legend("topleft", col = c(1,1,2), lty = c(2,1,1),
    legend = c("No pen", "Mat pen", "Pred excl"))
```

![](README-example-1.png)

``` r

## Find 'breakeven' proportion of females penned where lambda=1
(b1 <- wildlift_breakeven(f1, lambda = 1))
#> [1] 0.5171369
(b2 <- wildlift_breakeven(f2, lambda = 1))
#> [1] 0.3441178
f3 <- wildlift_forecast(s1, fpen.prop = b1)
f4 <- wildlift_forecast(s2, fpen.prop = b2)
## See that lines are truly flat
op <- par(mfrow = c(1, 2))
plot(f3, main = "Mat pen")
plot(f4, main = "Pred excl")
```

![](README-example-2.png)

``` r
par(op)

## Forecast using number of penned females
## - it can be an initial number
## - or a vector of individuals for subsequent years
wildlift_forecast(s1, fpen.inds = 5)
#> Caribou forecast - pen type: mat.pen 
#> 
#>  - tmax     :20
#>  - pop.start:100
#>  - fpen.inds:5
wildlift_forecast(s2, fpen.inds = c(5, 0, 4, 6))
#> Caribou forecast - pen type: pred.excl 
#> 
#>  - tmax     :20
#>  - pop.start:100
#>  - fpen.inds:5 0 4 6
```

## Getting Help or Reporting an Issue

To report bugs/issues/feature requests, please file an
[issue](https://github.com/Abbiodiversity/WildLift/issues/).

## How to Contribute

If you would like to contribute to the package, please see our
[CONTRIBUTING](CONTRIBUTING.md) guidelines.

Please note that this project is released with a [Contributor Code of
Conduct](CODE_OF_CONDUCT.md). By participating in this project you agree
to abide by its terms.

## License

    Copyright 2018 Province of British Columbia
    
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at
    
    http://www.apache.org/licenses/LICENSE-2.0
    
    Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and limitations under the License.

-----

*This project was created using the
[bcgovr](https://github.com/bcgov/bcgovr) package.*

Owner

  • Name: Alberta Biodiversity Monitoring Institute
  • Login: ABbiodiversity
  • Kind: organization
  • Location: Edmonton, AB

We track changes in Alberta's wildlife and their habitats from border to border, and provide ongoing, relevant, scientifically credible information.

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2