Adapting genetic algorithms for multifunctional landscape decisions: A theoretical case study on wild bees and farmers in the UK

Abstract Spatial modelling approaches to aid land‐use decisions which benefit both wildlife and humans are often limited to the comparison of pre‐determined landscape scenarios, which may not reflect the true optimum landscape for any end‐user. Furthermore, the needs of wildlife are often under‐repr...

Descripció completa

Dades bibliogràfiques

Autors principals:	Ellen Knight, Heiko Balzter, Tom D. Breeze, Julia Brettschneider, Robbie D. Girling, Alex Hagen‐Zanker, Mike Image, Colin G. Johnson, Christopher Lee, Andrew Lovett, Sergei Petrovskii, Alexa Varah, Mick Whelan, Shengxiang Yang, Emma Gardner
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2024-11-01
Col·lecció:	Methods in Ecology and Evolution
Matèries:	Agroecology ecological modelling genetic algorithms landscape optimisation land‐use decisions multi‐functional landscapes
Accés en línia:	https://doi.org/10.1111/2041-210X.14424
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!