z-logo
Premium
GMSE : An r package for generalised management strategy evaluation
Author(s) -
Duthie A. Bradley,
Cusack Jeremy J.,
Jones Isabel L.,
Minderman Jeroen,
Nilsen Erlend B.,
Pozo Rocío A.,
Rakotonarivo O. Sarobidy,
Van Moorter Bram,
Bunnefeld Nils
Publication year - 2018
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.13091
Subject(s) - exploit , license , computer science , waterfowl , natural resource management , resource management (computing) , adaptive management , key (lock) , natural resource , environmental resource management , ecology , environmental science , distributed computing , computer security , habitat , biology , operating system
Management strategy evaluation ( MSE ) is a powerful tool for simulating all key aspects of natural resource management under conditions of uncertainty. We present the r package generalised management strategy evaluation ( GMSE ), which applies genetic algorithms to provide a generalised tool for simulating adaptive decision‐making management scenarios between stakeholders with competing objectives under complex social‐ecological interactions and uncertainty.GMSE models can be agent‐based and spatially explicit, incorporating a high degree of realism through mechanistic modelling of links and feedbacks among stakeholders and with the ecosystem; additionally, user‐defined sub‐models can also be incorporated as functions into the broader GMSE framework. We show how GMSE simulates a social‐ecological system using the example of an adaptively managed waterfowl population on an agricultural landscape; simulated waterfowl exploit agricultural land, causing conflict between conservation interests and the interest of food producers maximising their crop yield. The r package GMSE is open source under GNU Public License; source code and documents are freely available on GitHub.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom