RT Journal Article
SR Electronic
T1 GMSE: an R package for generalised management strategy evaluation
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 221432
DO 10.1101/221432
A1 A. Bradley Duthie
A1 Jeremy J. Cusack
A1 Isabel L. Jones
A1 Erlend B. Nilsen
A1 Rocío A. Pozo
A1 O. Sarobidy Rakotonarivo
A1 Bram Van Moorter
A1 Nils Bunnefeld
YR 2017
UL http://biorxiv.org/content/early/2017/11/17/221432.abstract
AB 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 GMSE, which generalises MSE using a game-theoretic approach, applying genetic algorithms to simulate 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.